Skip to main content
Translational Oncology logoLink to Translational Oncology
. 2026 May 22;70:102815. doi: 10.1016/j.tranon.2026.102815

Translational issues with phototherapy of cancer

Maryam Ghafarkhani a,c, Meghdad Abdollahpour-Alitappeh b, Zahra Alizadeh a,c, Solmaz Tabibi Azar c,d, Mahdieh Nemati a,c, Amir Zarebkohan a,c,⁎, Daniel J Klionsky e,⁎⁎
PMCID: PMC13224021  PMID: 42172791

Highlights

  • •

    The field would benefit from a general review of the use of photo-based therapy methods concerning the micro-environmental stimulating factors of the tumor such as hypoxia, which are essential for maintaining the stemness properties of CSCs, the change of microenvironmental niche to induce dormancy and metastasis, and the direct effect on angiogenesis following the induction of environmental stress.

  • •

    The different levels of autophagy induction in response to PDT and PTT can play important roles.

  • •

    The direct impact of the consequences of various perturbations by the phototherapy-based therapeutic on stressor-induced signaling pathways that directly and indirectly affect the induction of dormancy and ultimately the induction of tumor recurrence is very important.

  • •

    The conclusion of this review paper demonstrates that all the parameters in PDT and PTT therapy like pharmacokinetics of nanoparticles shape and concentration, power of laser, wavelength of laser, curation time, induced temperature, ROS production, etc., must be tuned before entering in the clinical trials, for avoiding undesired sophisticated responses including enhanced recurrence and/or invasiveness of tumor cells.

Keywords: Apoptosis, Autophagy, Cancer, Nanotechnology, Necrosis, PDT, PTT

Abstract

Cancer is one of the most common and deadly diseases which has challenged human knowledge since its discovery. There are a variety of therapies, such as radiotherapy, chemotherapy, palliative surgery, medicine, and gene therapy, used for patients suffering from cancer, all of which represent, to some extent, a kind of failure. However, a number of novel strategies based on nanotechnology (including, photodynamic therapy [PDT] and photothermal therapy [PTT]) have been introduced in recent years, which appear to have the ability to be used as an auxiliary treatment for chemotherapy and radiotherapy in the future. Interestingly, cancer cells, in response to various therapeutic factors, can utilize certain cellular mechanisms and processes for their survival and growth. For example, macro autophagy/autophagy, can alter the cancer cell fate, from autophagic cell death to dormancy (as a key factor in tumor recurrence). Nonetheless, there have been conflicting conclusions regarding the interactions of phototherapy methods with cells as well as their wanted or unwanted impacts on these cells. In addition, there are complicated and controversial associations among the most common cell death mechanisms such as apoptosis, autophagy, and necrosis as well as tumor treatment and recurrence. The present review aims to describe various responses of cancer cells to photo-based therapy, which can control cell death or dormancy. Moreover, we discuss whether the incorrect application of various phototherapy parameters not only fails to treat and eradicate cancerous tumors, but also mediates the entry of tumor cells into the dormancy phase or even promotes a cancer flare up.

Graphical abstract

Image, graphical abstract

Introduction

Cancer is one of the most common and deadly diseases that has challenged human knowledge since its discovery. Unfortunately, despite a tremendous amount of research on this topic, relatively little progress has been made with regard to the effective treatment of cancer. Cancer is a non-contagious disease and the second leading cause of death worldwide. In 2024, approximately 1.9 million new cases of cancer are expected to be diagnosed in the United States, and over 600,000 deaths will be recorded due to cancer in the same year [1]. Overall, almost all of therapeutic strategies after a certain interval (from several months to several years), lead to recurrence of most cancers from either the same starting point or another location. In fact, due to the complicated and adaptable nature of cancers currently used treatments change the therapeutic equations in favor of the tumor. For example, migrated and reprogrammed macrophages to the M2 phenotype (producing anti-inflammatory cytokines) into the tumor microenvironment (TME), in response to platinum-based drugs as well-established chemotherapeutic agents, resulted in tumor progression and aggressiveness [2,3]. Cancer recurrency is highly sophisticated processes along with the inability of the immune system to accurately identify cancer cells because of the lack of completely specific markers, remains one of the most important challenges in cancer treatment [4]. Furthermore, studies over the past century have indicated that cancer cells resist therapeutic strategies through a variety of mechanisms, including reduced expression of specific receptors, specific transporters, and altered intracellular signaling [5], as well as through the use of certain inherent cellular mechanisms such as autophagy and dormancy [6]. Surprisingly, the mentioned mechanisms strictly correlated with the type of programmed cell death PCD including (1) apoptosis (previously referred to as type I PCD), (2) autophagy (type II PCD), and (3) programmed necrosis or necroptosis (type III PCD) [7]. More importantly, PCD dysfunction can result in a variety of diseases, including degenerative diseases and cancers. The ability of cancer cells to resist apoptosis and activate autophagy can be considered as a crucial factor for cancer development [8]. It is important to note that an identical stimulus can often simultaneously initiate apoptosis, autophagy, and necrosis. Nevertheless, there are complicated and controversial associations among apoptosis, autophagy, and necrosis; for example, autophagy has the ability to promote, delay, or inhibit the occurrence of apoptosis [9,10] (Fig. 1). One of the most famous examples related to crosstalk between the type of stress and the corresponding cellular response, is activating autophagy in response to doxorubicin (Dox) administration [11]. Occurring autophagy could be coupled with highly sophisticated intracellular mechanisms that finally results in dormancy of cancer cells until environmental clues lead to the recurrence of the cancer cells, which are typically even more aggressive than before the treatment [12,13]. Therefore, the type, quantity and quality of the cellular death completely could change the outcomes of chosen therapeutic strategy as external stress to cancer cells.

Fig. 1.

Fig 1 dummy alt text

A heterogeneous tumor can enter into one of three main cell death mechanisms in response to different internal or external stimuli. Apoptotic cells are vascularized (pink) which will be removed by immune cells; necrotic cells burst (orange), which releases all growth factors and pro-inflammatory cytokines into the tumor microenvironment; and the effect of autophagy (blue), which is based on the autophagy magnitude and crosstalk with other molecules can end in autophagic cell death, apoptosis or survival.

In the case of photo-based therapies (PDT and PTT), as relatively newborn treatments mostly built on nanotechnology, undesirable side effects which could be happened according to exerted parameters has been neglected in the past two decades. For instance, we recently demonstrated that mild hyperthermia induced by gold nanorods acts as a dual‑edged blade in the fate of SH‑SY5Y cells via autophagy. Importantly, our findings also suggested that significant changes occur in genes related to the crosstalk between autophagy, dormancy, and metastatic activity of the treated cells. Also, we illustrated that PTT (which recently entered into human clinical trials) [14], enhances the aggressiveness of cancer cells at 43 °C, in contrast to 48 °C dependent on the regulation of autophagy [15]. In the parallel study, our team have shown than intracellularly heating the cancer stem like cells (CSC) increase the invasiveness of the cells through autophagy activated manner. Therefore, it seems the impact of stress which induced to cancer cells would be changed the fate of cancer cells. Given the above, the present review tries to describe and summarize a variety of cancer cell responses to photo-based therapy, as well as explains the key players controlling cell death or dormancy.

Impact of crosstalk between autophagy, apoptosis, and necrosis on tumor growth

Introduction

Despite their considerably distinct morphological characteristics and physiological processes, apoptosis, autophagy, and programmed necrosis still exhibit complicated interrelationships. Apoptosis and autophagy show synergetic effects under some conditions, while otherwise autophagy can be triggered only following apoptosis suppression [16,17]. In this section, we will discuss the crosstalk between three classical forms of cell death, including apoptosis, autophagy, and necrosis.

Crosstalk between apoptosis, autophagy, and necroptosis

CFLAR/cFLIP (CASP8 and FADD like apoptosis regulator) proteins possess CASP8-like structures but lack proteolytic activity. CFLAR possesses three main isoforms consisting of one long protein, CFLAR-L/cFLIPL, and two short proteins, CFLAR-S/cFLIPS and CFLAR-R/cFLIPR, in humans [18]. Nonetheless, these three isoforms take advantage of two death receptor domains at the N-termini, which mediate their interaction with the adaptor protein FADD to form the DISC complex. CFLAR has the ability to regulate both the death receptor-mediated extrinsic apoptosis pathway and death receptor-independent apoptosis pathways. In complex IIb/ripoptosome, homodimeric CASP8 induces apoptosis through cleaving RIPK1 and disassembling complex IIb/ripoptosome. Once pro-CASP8 forms a heterodimer with CFLAR-L/cFLIPL, not only does the cleavage of RIPK1 inhibit necroptosis but also the lack of activated CASP8 formation blocks apoptosis [19]. Nevertheless, the formation of a heterodimer by pro-CASP8 with CFLAR-S/cFLIPS-CFLAR-R/cFLIPR induces necroptosis due to the lack of proteolytic cleavage of RIPK1 [20] and simultaneously cannot trigger CASP8-dependent apoptosis. As a result, the presence of CFLAR isoforms in the ripoptosome specifies whether cells will execute RIPK1-dependent necroptosis or CASP8-dependent apoptosis. CFLAR, in addition to the regulation of apoptosis and necroptosis, is a negative regulator of autophagy. When autophagosome is being formed, ATG3 binds to MAP1LC3/LC3 (microtubule associated protein 1 light chain 3), a homolog of yeast Atg8 that is involved in autophagosome maturation. Importantly, the interaction of ATG3 and LC3 is inhibited by CFLAR due to competitive binding of ATG3, which consequently inhibits autophagy [21]. Although the process in which CFLAR regulates apoptosis and necroptosis via ripoptosome formation takes place in the plasma membrane, autophagy is prevented by CFLAR at the autophagosome formation sites (Fig. 2). Therefore, various subcellular localizations of CFLAR may play a critical role in its actions [21,22].

Fig. 2.

Fig 2 dummy alt text

The effect of the nature of cell death on the fate of tumor cells. As discussed in the text, cytokines released to the microenvironment of the tumor following necrosis can stimulate cell proliferation, invasion, metastasis, or immune system paralysis. The magnitude of autophagy can lead to EMT and it associated pathways and can be combined with the above-mentioned consequences, which are shown the in figure as a reciprocal relationship between two purple boxes. The reciprocal relationship is indicated with up and down arrows.

The good, the bad, and the ugly

Based on cancer biology and treatment, it seems that apoptosis can be the best option for the elimination of cancer cells in comparison with other types of cell death (especially necrosis) (Fig. 2). As mentioned above, this is due to the ability of necrosis to release cancer cell contents to the tumor environment. Consequently, the release of pro-inflammatory cytokines, such as growth factors, IL4, TGFB1, and CSF1 (colony stimulating factor 1) stimulates the growth and survival of cancer cells through the activation of transcription factors, such as NFKB (nuclear factor kappa B), STAT3 (signal transducer and activator of transcription 3), and AP-1 [23]. In addition, these chemokines lead to more invasive stimulation through invoking innate immune cells specially tumor-associated macrophages (TAMs) and secretion of enzymes digesting extracellular matrixes, resulting in tumor cells becoming more invasive [24]. It should be said that this mechanism is also true in inflammation after the tumor growth, so that inflammation results in increased survival and growth of tumor cells; this growth then leads to secretion of inflammatory factors and other agents intensifying inflammation as a cycle. It is therefore important for scientists to realize that necrosis is designed and genetically controlled by the tumor cells for the development and survival of the entire tumor [25]. Therefore, STAT3, one of the cellular survival signaling intermediates, is activated in response to growth factors and pro-inflammatory factors, including IL6, HGF (hepatocyte growth factor), IL22, IL11 and EGF (epidermal growth factor), released from cancer cells, resulting in their growth and survival [26]. As mentioned above, these factors are originated from the major intermediates of inflammation caused by tumors, which have an undeniable impact on tumor recurrence and growth [27]. Moreover, the importance of cytokines has been shown through the effect of danger/damaged-associated molecular patterns (DAMPs) or pathogen-associated molecular patterns (PAMPs) on tumor growth. Autophagy, as compared with the two methods inducing cell death as mentioned above, can be used for both cell death induction and survival; in addition, based on the above, an important question is whether or not tumor therapeutic protocols leading to increased stress induction to the tumor can promote tumor growth in the long term. Results from extensive studies on drug delivery to the tumor have indicated that various agents, such as high hydrostatic pressure, hypoxic environment, and, in some cases, the lack of angiogenesis, do not allow the entry of therapeutic agents to deep parts of the tumor [28]. Consequently, most common treatments remove only some parts of the tumor through different mechanisms. Thus, we can conclude that different types of therapy will stimulate different types of cell death. In fact, we face three options of the good (apoptosis), the bad (autophagy), and the ugly (necrosis). Nevertheless, it is also important to note that apoptosis has been inhibited in most cancer cells, and gene therapy (like TNFRSF10A/TRAIL [TNF receptor superfamily member 10a] delivery to cells combined with chemotherapy drugs) associated with other therapies seems to be a suitable solution to circumvent this problem. In the following, we discuss which type of cell death is further activated by photo-based therapy.

Dormancy and recurrence of cancer

Tumor recurrence and metastasis, leading to a high percentage of cancer-related death, are phenomena occurring long after the tumor treatment. These outcomes emerge in such a way that the patient has no clinical symptoms after treatment and before the recurrence of the tumor due to dormancy of the tumor cells. Dormancy of tumors was first shown by Willis [29], in which the dormant cells stop growing at the G0-G1 stage of the cell cycle [30]. In fact, under certain conditions (especially environmental stress) such as hypoxia, food deprivation, and stimulation by various drugs and phototherapy-based methods, the dormant cells experience a balance between apoptosis and cell division. There are a variety of factors playing roles in the induction of this state, including formation of cell attachment to the extracellular matrix, various pro-inflammatory and growth factors in the tumor microenvironment, interaction between various cell types in this environment, especially immune system cells with dormant cells, ROS and thermal stress, as well as intracellular signaling of dormant cells (Fig. 3 and Table 1) [31]. In general, this state is a highly effective defense mechanism in tumor cells, resulting in the escape of cancer cells from the factors damaging the cells [32]. However, what is important about dormancy is that these cells have the ability to pass this state and re-grow, a phenomenon called tumor recurrence. Another important issue is that dormancy can occur both at the tumor level and in isolated tumor cells, in particular cancer stem cells (CSCs). Furthermore, in recent years, clinical findings have reported cancer cell dormancy in response to different types of stresses like chemotherapeutics in various cancers [33] (Table 1).

Fig. 3.

Fig 3 dummy alt text

Tumor recurrence and metastasis, leading to a high percentage of death from cancer, are phenomena occurring long after the treatment of the tumor. Dormant cells stop growing in the G0-G1 stage of the cell cycle. Different stimulators are shown as a blue ellipsoid and inhibitors of dormancy are shown as a green ellipsoid in the figure. “+” and “-” indicate stimulatory and inhibitory effects and down arrows are used to depict a decrease of receptors.

Table 1.

Dormancy inductive and reactivation factors.

Extracellular inductive factors for dormancy Intracellular inductive factors for dormancy Reactivation factors Ref.
TGFB2-TGFBR3, BMP4, BMP7-BMPR2, AXL -GAS6, TBK1, Mir222/223, Mir23b, LIFR-STAT3-SOCS3, BHLHE41 MAPK14 CDKN2A/p16, CDKN1A/p21, PSMD9/p27, TRP53, MAP2K4, NR2F1-RARB-SOX9 MAPK1, PI3K-AKT1, TSC22D3, FOXO3, TGFB3, MERTK, POSTN, SFK, FOSL1, DAND5 [34]

AXL, AXL receptor tyrosine kinase; BHLHE41, basic helix-loop-helix family member e41; BMP4, bone morphogenetic protein 4; DAND5, DAN domain BMP antagonist family member 5; FOSL1, FOS like 1, AP1 transcription factor subunit; FOXO3, forkhead box O3; GAS6, growth arrest specific 6; LIFR, LIF receptor subunit alpha; MAP2K4, mitogen-activated protein kinase 4; MERTK, MER proto-oncogene tyrosine kinase; NR2F1, nuclear receptor subfamily 2 group F member 1; POSTN, periostin; PSMD9, proteasome 26S subunit, non-ATPase 9; RARB, retinoic acid receptor beta; SFK, Src family tyrosine kinases; SOCS3, suppressor of cytokine signaling 3; SOX9, SRY-box transcription factor 9; TBK1, TANK binding kinase 1; TGFBR3/TGFB1-RIII, transforming growth factor beta receptor 3; TSC22D3, TSC22 domain family member 3.

It is important to note that, among different types of PCD, only autophagy shows crosstalk with cancer dormancy. The first study on the role of autophagy and its crosstalk with dormancy effectors was presented by Gupta et al. using a PDGFR (platelet derived growth factor receptor) inhibitor; they indicated that a group of gastrointestinal tumor cells experiences dormancy through autophagy [35]. In addition, Lu et al. demonstrated the role of a RAS homolog inhibitor (DIRAS3/ARHI [DIRAS family GTPase 3]) in the induction of reversible dormancy induced by autophagy [36]. Such studies, showing a close relationship between autophagy (and especially its level) with dormancy and metastasis, led to the testing of autoimmune inhibitors in clinical and preclinical trials in order to enhance the therapeutic benefits of common methods and treatments [37]. Furthermore, it should be noted that these findings may be a promising platform in the future for the recognition of mechanisms involved in the above-mentioned processes (which, in most cases, differ from one type cancer to another); in this light, it seems that gene-based therapies and inhibitor drugs might be designed for any type of cancer with its own specific characteristics [38,39].

Why and how photo-based therapy induces apoptosis, necrosis, and autophagy

Photo-based therapy definition

Photo-based cancer therapy has emerged as a novel therapeutic strategy to tackle a wide variety of cancers. Cancer phototherapy strategies have received increased attention in recent years because of their unique characteristics, including minimal systemic toxicity, non-invasiveness, tumor specificity, and localized cancer therapy [14,40]. In general, cancer phototherapies induced by ultraviolet (UV), visible (Vis), and near-infrared (NIR) lights have the ability to penetrate into body tissues, which typically depends on the phototherapeutic agents [41]. There are a variety of phototherapies with different mechanisms, including low-level laser therapy (LLLT), photodynamic therapy, photothermal therapy, photo-induced chemotherapy [42], and photo-immunotherapy (PIT) [43]. Various studies have revealed the impact of light on biological processes, known as photo-biomodulation (PBM) [44,45]; this phenomenon refers to the use of special light spectra that can interact with biological materials and cells and alter their behaviors (Fig. 4). NIR is a light spectrum which is important in PBM. The therapeutic effect of NIR light was demonstrated on healing wounds, repairing damaged cells as well as stimulating physiological processes. This phenomenon was first indicated clinically in the form of a low-level laser therapy (LLLT) in 1960.

Fig. 4.

Fig 4 dummy alt text

Various studies have revealed the impact of light on biological processes known as photobiomodulation (PBM). This phenomenon is based on the use of special light spectra that can interact with biological materials and cells and alter their behaviors.

Translationally into the clinics, the substantial question about the use of lasers for various purposes, such as rejuvenation of skin or improvement of muscle performance in athletes [46], is what impact will these radiation exposures have on the stimulation of tumors in the case of undetected tumors in individual people [47]? Another question, posed in previous sections and repeated here again, is whether or not phototherapy is able to change the genetic expression of the treated cells and the signaling pathways related to autophagy and dormancy, and what are the consequences? Of course, as mentioned above, this feature completely depends on different parameters such as wavelength, laser intensity, radiation duration, and the cancer type [48] (Fig. 5). Importantly, our recent work on highly heat-resistant human neuroblastoma cells revealed that acute and intracellular induction of mild hyperthermia (43–48 °C) leads to increased aggressiveness of remnant cells via the stimulation of autophagy at the genomic level (86 genes involved in autophagy process) and based on a tumor spheroid formation assay [49,50]. Our findings, alongside the entrance of PTT into the human clinical trial phase, raises alarms for all cancer researchers. It seems that PTT may lead to a temporary reduction in the size of the cancerous tumor; however, will the remaining cells survive with the same phenotype and even the previous genotype? Or rather will they become more aggressive due to the biological changes discussed below. Our study is the first to show the relationship among acute intracellular temperature stress, signaling pathways and cell death and the consequences on the aggressive behavior of cancer cells. Therefore, it seems that more detailed studies are needed for different treatments to select the best treatment option. In the following, we discuss the impacts of different laser intensities on processes and signaling pathways, as well as their effects on various cell organelles.

Fig. 5.

Fig 5 dummy alt text

Different parameters of the indicated lasers are indicated.

Low level laser therapy

Introduction

Generally, low-level laser therapy, a minimally-invasive modality for cancer therapy, is used as a monochromatic coherent light at low energy levels, typically radiation from 1 to 1000 mW/cm2 [44,51]. LLLT is able to regulate different biological possesses, such as differentiation [52], proliferation [53], cell viability [54], and cell death [55]. The molecular mechanism by which laser radiation exerts its effect has not been completely understood. The photo-biological effects of LLLT occur when the light energy is absorbed by intracellular chromophores, such as NADH, FADH2, cytochrome C oxidase, mitochondria, and cAMP which can be induced according to PDT parameters (Fig. 6), eventually leading to the generation of a photo-signal [56,57]. The photo-signal leads to increased cellular ATP levels [58], transiently increased intracellular calcium concentration [59], the phosphorylation of MAPK [60], production of ROS [61], and upregulation of certain proliferation and cell death genes [62] (Fig. 6).

Fig. 6.

Fig 6 dummy alt text

LLLT interactions with important cellular chromophores, including NADH, FADH2, cytochrome c oxidase, mitochondria, and cAMP are depicted, along with the photo-signal in the cells. Arrows show pathways inhibited or stimulated by photo-signals.

Furthermore, ROS produced under laser irradiation have the ability to activate a number of intracellular and extracellular biological pathways, including apoptosis, autophagy and necrosis (Fig. 7) [63]. More recently, a number of studies have investigated the effect of ROS on the mechanism of cell death [64]. It was found that ROS play a crucial role in the induction of autophagy and apoptosis through various mechanisms, such as inactivating the de-lipidation activity of ATG4 [65], activating AMPK [66] altering the expression of BECN1, inhibiting PI3K-AKT1 (AKT serine/threonine kinase 1)-MTOR-RPS6KB1 (ribosomal protein S6 kinase B1), activating MAPK8/JNK1 signaling pathways [67], inactivating AKT1-GSK3B (glycogen synthase kinase 3 beta) [68], and activating NFKB [69], caspase family proteins and PARP1 [70]. In the following section, we will explain the association between phototherapy and these intermediaries in greater depth (some examples are included in Fig. 7 and Table 2). It is worth mentioning that the biological and cell death capability of LLLT may depend on the cell types and laser parameters such as wavelength [71], exposure time, applied energy, focal spot size, energy density, and power density [72]. LLLT containing different irradiation energies and powers demonstrates a biphasic dose response curve, so that its low dose seems to have useful therapeutic effects (photo-biomodulation), whereas higher doses are detrimental (phototoxic) [72].

Fig. 7.

Fig 7 dummy alt text

ROS produced by PDT have different effects on cellular functions.

Table 2.

The effects of low-level laser therapy on cell signaling pathway.

Laser Wavelength Cell exposed Effects Signal pathway activation Refs.
830 nm PMN cell Balance alteration between expression of pro-apoptotic
(BAX and TRP53) and anti-apoptotic (BCL2) proteins
Apoptotic cell death
A continuous wave 810 nm laser OECM-1 cell
Ca9–22 cell
Enhanced CASP3-CASP7 activity
ROS-mediated RELA activation
Increased expression of BECN1 and LC3-II
Apoptotic cell death
Autophagy protective role
[73]
Nd-YVO4 (532 nm laser) U251 glioma cell Increased ROS-mediated BECN1 and LC3-II Autophagy protective role [74]
1064 nm
980 nm
810 nm
660 nm
Rat model of mucositis Expression of Atg5,
Becn1, and Ulk1 increased by 1064-nm laser wavelength, significant decrease in the expression of Becn1and Ulk1 by 980-nm laser wavelength, decreased expression of Atg5,
Becn1, and Ulk1 by 810-nm laser wavelength, decreased expression of Atg5 and Becn1 by the 660-nm laser wavelength
Ulk1 is increased at all wavelengths except 660 nm
Stimulate autophagy
on all wavelengths, except 660-nm laser wavelength
[75]

RELA, RELA proto-oncogene, NF-kB subunit.

Low-level laser therapy and autophagy

LLLT can activate autophagy in cancer cells in which autophagy may not only serve as a cell survival mechanism (a protective role) but may also induce cancer cell death [76,77]. It seems that activated autophagy, in response to LLLT, may be highly dependent on the cell type, tissue type and gene expression profile that regulates autophagy [78]. A study by Bostanciklioglu et al. investigated the effects of various laser wavelengths (660, 810, 980, and 1064 nm) on the expression of autophagy genes (Atg5, Atg7, Becn1, and Ulk1) [79], showing that gene expression profiles of Ulk1 can be promoted at all wavelengths, except for 660 nm [79]. Moreover, the expression profile of Atg5, Atg7 and Becn1 genes increases in laser radiation with 1064 nm but decreases in other wavelengths (Table 2). Interestingly, in a low-level of laser therapy, autophagy plays a protective role by repairing the damage in ER and mitochondria; however, both apoptosis and autophagy may induce cell death with an increased level of phototherapy [80]. Frigo et al. indicated that the low-dose (150 J/cm2) 660-nm laser treatment regimen may reduce the size of the superficial melanoma tumors, but a high dose (1050 J/cm2) greatly increases the tumor size [81]. In this study, the authors did not indicate the exact mechanisms involved in this cellular behavior. Based on the above-mentioned examples, however, it can be concluded that treatment of cancer cells with low-power lasers may unintentionally result in the increased survival of the cancer tumor and stimulate its growth and stability, which can greatly influence the treatment results. It should also be considered that, due to the sharp decline in laser radiated to the target tissue (after absorption) by various biological entities [82], the intensity of the laser radiated to the tumor site alters and, ultimately, a laser dose reaching the cells unintentionally leads to further growth due to secretion of different types of pro-inflammatory cytokines or tumor dormancy through using the mechanisms mentioned above. Consequently, one of our suggestions in this review is to conduct research in this field to determine a suitable dose of laser treatment to minimize this possibility. However, given the cases already described in this review, the type of cell death (such as necrosis) occurring in some cells may have played a role in this phenomenon. For example, the release of inflammatory and pro-inflammatory factors or changes in different cellular signaling states might be a fundamental reason for the results obtained. This claim is somewhat supported by a study carried out by Hao et al. [83]. In another study conducted on a nude mouse model of thyroid carcinoma, Rhee et al. showed that HIF1A (hypoxia inducible factor 1 subunit alpha) and phosphorylated AKT1 signaling increase in response to a laser (650 nm, 100 mW/cm2) and, consequently, tumor growth is stimulated [84].

From translational points of view, these conflicting outcomes in the cell behavior become more complex in response to photo-based therapy methods when a laser is used to stimulate other molecules. Photodynamic and photothermal therapies are modern therapies, in which the stimulant molecules are used to produce ROS and heat. Consequently, the impact of the sum of laser and photo-synthesizer molecules or light-to-heat converting molecules on the behavior and fate of cells becomes much more complicated in terms of the type of cell death or autophagy induction and dormancy. Given the above, it can be concluded that the type of optical stress applied to the cell can have a direct impact on the cell fate. As mentioned, because of the increased survival of cancer cells due to low-intensity laser radiation, this treatment seems to pose a serious danger to researchers for designing effective therapeutic procedures. This means that treatments may not only lead to tumor improvement, but also unwittingly encourage cancer cells to survive and resist treatment.

Photodynamic therapy

Introduction

PDT is a promising therapeutic approach used for a variety of cancer therapies [85]. PDT has been approved as a treatment option by the United States Food and Drug Administration/FDA for endo-bronchial and endo-esophageal cancer [86], as well as for premalignant and early malignant lesions of skin (actinic keratosis), bladder, breast, stomach and oral cavities [87]. PDT is based on the application of a photosensitizer (PS) with irradiation of low energy (non-thermal) light [88]. Cells containing photosensitizer agents are exposed to low-energy light, which activates PS molecules that then react with oxygen molecules and finally produce different cellular ROS inducing singlet oxygen (1O2), hydroxyl radical (OH°), hydrogen peroxide (H2O2), and superoxide (O2−), resulting in photo-oxidative damage in biological molecules [89] Fig. 8.

Fig. 8.

Fig 8 dummy alt text

Photosensitizer type, charge, hydrophobicity and their tendency to accumulate within a specific organelle are illustrated. All PS molecules in different organelles invoke the same pathways; however, this occurs through different mechanisms and may have alternate outcomes.

As mentioned above, the exact mechanism taking place in PDT includes alteration of an inert PS through electron transfer from the light photon to the PS. In addition, the active PS can also lose energy by development of a type I photochemical reaction. This Fenton reaction makes highly destructive free radicals. Nevertheless, generation of a type II photochemical reaction, also known as PDR, is considered to be the most significant pathway for clinical PDT. Here, the PS interacts with oxygen for the generation of singlet oxygen, a process considered as a basis of PDT for tumor and vascular ablation. The half-life of singlet oxygen is found to be around 40 nanoseconds, allowing for destruction of a radius of 20 nanometers [90]. PDT-induced tumor destruction can happen through programmed (apoptotic) or non-programmed (necrosis) pathways [91,92]. In general, the application of high light intensity leads to rapid elimination of tumor cells through necrosis [93]. The cellular and subcellular membrane is rapidly destroyed in this manner.

In PDT, ROS produced by synthetic PS are effective only in the subcellular organelles where the PS is localized. Thus, the subcellular organelles targeted by PS are considered as a main parameter to elucidate the mechanism of PS-induced cytotoxicity against cancer cells [94]. Various PSs used can be localized in different subcellular organelles mainly in the endoplasmic reticulum, mitochondria, lysosomes, plasma membrane, and nucleus (Table 3). Finally, PDT is able to cause cancer cell death through induction of apoptosis, necrosis, necroptosis, and autophagy [95]. Nonetheless, the exact mechanisms and relationships are complicated and depend on the photosensitizer type, cell density [96], cellular genotype (for example, MCF-7 is deficient in ATG7) [97], treatment doses, and subcellular localization of PS [97,98]. These effects will be discussed separately in the next subsections.

Table 3.

The effects of photodynamic therapy on cell signaling pathways.

Photosensitizer type Laser wavelength Cell exposed Subcellular target Effect Signal pathway activation Refs.
UCNP-GQD/TRITC nanoparticles 980 nm 4T1 cells Mitochondria CASP3 activation Apoptotic cell death [99]
MPPa LED light (635 nm) A549 cells Mitochondria CASP3-CASP9 activation
BCL2 expression decreased
BAX expression increased
Light and drug dose-dependent apoptotic cell death [100]
5-ALA LED light PC12 and CL1–0 cells Mitochondria AMPK activation Autophagic cell death [101]
MPPa LED light MG-
63 cells
Mitochondria Increasing expression levels of cleaved CASP3,
CYCS/cytochrome c release, increased BAX expression, decreased BCL2 expression
Increasing phosphorylated MAPK8, LC3-II and BECN1
Apoptotic cell death
Pro-death autophagy
[102]
phthalocyanine > 650nm MCF-7c3 Lysosomes CASP3 activation
production of tBID from BID
cleavage of PARP1
loss of BCL2
Apoptotic cell death [103]
NPe6 LED light ASTC-a-1 Lysosomes BAX activation
CYCS/cytochrome c release
CASP3-CASP9 activation
Apoptotic cell death [104]
NPe6 664 nm Glioblastoma T98G cells Mitochondrial RIPK1 and RIPK3 pathways Concentration-dependent necroptosis [105]
PpIX 633 nm PROM1/CD133+ cells Not reported Increased expression of LC3-II, ATG5, ATG12 Autophagy protective role [106]

GQD, GQDs, graphene quantum dots; MPPa, methyl pyropheophorbide-a; NPe6, mono-L-aspartyl chlorine e6 (photosensitizer); PROM1, prominin 1; UCNP, upconverting nanoparticles.

Photodynamic therapy and autophagy

Autophagy, as a mode of cell death following PDT, may be a dominant factor in the absence of apoptosis [107,108]. Autophagy can serve as a factor in PDT at two different points in the sequence of events. The first includes the capability of autophagy to repair photo-damaged cellular components, such as organelles [109]. In the context of PDT, the nature of most photosensitizing agents tends to cause their migration to relatively hydrophobic intracellular sites, including membranes; reaction with important proteins plays a role in apoptosis and autophagy, including BECN1 [110] and ITPR3/IP3 [111] in the ER (ROS-mediated damage to the sarco/endoplasmic calcium-ATPase ATP2A2/SERCA2 [ATPase sarcoplasmic/endoplasmic reticulum Ca2+ transporting 2] pump, followed by ER-calcium depletion) [112] and anti-apoptotic proteins of the BCL2 family, BAX and BAK1 (BCL2 antagonist/killer 1) located in the mitochondria [113,114]. The optical toxicity caused by the treatment with this light spectrum is evoked by stimulation, while ER stress is induced by ATF4 (activating transcription factor 4) and autophagy induction. For example, in a study conducted in 2017, it was indicated that PBM can intensify the autophagy- and apoptosis-based cell death induced by radiotherapy [115].

Second, and more interestingly, the double-edged nature of autophagy means that it may act as a mechanism involved in stimulating cell death or cell survival [116]. Autophagy can block apoptotic pathways, protecting cancer cells from treatment [117], and PDT may induce autophagy, based on the ROS type and oxidative injury degree [118] (Table 4).

Table 4.

ROS interaction with intracellular compartments.

Types of ROS Interacting Cell Component Effect Refs.
[O2]•− and H2O2 SHC/p66shc Apoptosis
Growth signaling
[119,120]
H2O2 or HOCl React with thiol side chains of cysteine in a nonspecific manner Two-electron mediated oxidation and releases of H2O or Cl− and finally formation of sulfenic acid [121,122]
H2O2 PTPN1/PTP1B (protein tyrosine phosphate non-receptor type 1) Redox system imperfection [123,124]
Sulfenic acids (highly reactive intermediates of ROS) Internal thiols Intramolecular disulfide species formation [125,126]
H2O2 PTEN, PTPN1 Reversibly deactivation of these phosphatase [127,128]
H2O2 YAP1, FOXO4 Activation of redox regulator genes [129,130]
H2O2 MMP7 (matrix metallopeptidase 7) Activation of the pro-enzyme [131]
H2O2 Histone deacetylase, HDAC4 control by activation of TXN Cardiac hypertrophy [132]
Oxidative stress Redox-cycling metal ions such as Fe2+ and Cu2+, Conversion of the side chain amines to carbonyls Lysine, arginine, proline and histidine residues oxidation [133]
HOCl Tyrosine residues Impaired protein function in atherosclerosis, diminished airway function in children with cystic fibrosis [134,135]
H2O2 PerR (TF) Regulates redox defense genes [136]
[O2]•− SoxR (TF) Oxidation of an iron-sulfur cluster [137]
ROS NADPH/NOX Inhibit tumor apoptosis and stimulate tumor proliferation [138]
ROS KRAS Increase expression and activity of NOX enzymes: promote ROS/RNS generation [139]
H2O2 PI3K-AKT Stimulate cancer cell proliferation [140]
Increased detoxification of ROS Metabolic reprogramming Increase of endogenous antioxidant machinery [141]
H2O2 Signal transduction Cell proliferation by STAT3 activation. [142]
(•OH)
(ONOO-)
H2 gases as trace element in some signaling pathway Antioxidant, anti-inflammatory, anti-apoptotic, anti-tumor functions
Pancreatitis, systemic inflammatory syndrome, sepsis, and neurodegenerative diseases.
[143]
ROS H2 gas SOD and CAT activation
Regulation of oxidative stress damage
Activation of MAPK14/p38, MAPK1-MAPK3, (NFKB), MAPK/JNK, and NF2EL2
MPO, malondialdehyde, 8-isoprostaglandin F2a, and thiobarbituric acid reduction
[144]
ROS H2 gas Downregulation of IL1B, IL6, (TNF), CCL2, intercellular cell adhesion molecules, (HMGB1), and prostaglandin E2.
Restoration of regulatory T cells
[145,146]

CAT, catalase; HMGB1, high mobility group box 1; MPO, myeloperoxidase; PTEN, phosphatase and tensin homolog; PTPN1/PTP1B, protein tyrosine phosphate non-receptor type 1; SHC/p66shc, SHC adaptor protein; SOD, superoxide dismutase; TXN, thioredoxin.

In addition, autophagy plays a protective role against PDT in CSCs, demonstrating that targeting autophagy can be tailored, as a treatment strategy, for the increased sensitivity of CSCs to PDT [147]. However, generally, the associations between changes in the autophagic and dormancy pathways with the ROS levels have not been well defined, and different results have been indicated with different cancer cells. The cellular defense mechanisms leading to cellular survival, which are activated in response to PDT, can fall into two categories. The first one includes intrinsic cellular defense systems such as induction of intracellular antioxidant enzymes [148]. The second one consists of direct effects of PDT on apoptotic pathways, the expression profile of certain cell receptors, changes in the expression of the multidrug-resistant protein family, and, ultimately, increased expression of intracellular chaperone proteins [149,150]. Another established mechanism involved in cancer cell survival is the production of a stress response by PDT-generated ROS, which, as part of a cell survival mechanism, helps cancer cells get rid of the PDT-induced oxidative stress and cell damage. The above-mentioned survival pathways are mediated by transcription factors activator protein 1 (AP-1), NFE2L2 (NFE2 like bZIP transcription factor 2), HIF1A, and NFKB, as well as those that facilitate proteotoxic stress responses. The survival pathways are thought to render some types of cancer recalcitrant to PDT and change the tumor microenvironment in favor of tumor survival [151].

Furthermore, it was documented that the autophagy response plays different roles in apoptosis-deficient and apoptosis-competent cells. In the case of PDT, the induction of autophagy plays an undeniable role in resistance to PDT treatment and serves as a survival response in cells capable of developing an apoptotic response [152,153]. In an exciting study, Ji et al. demonstrated that PC12 and CL1–0 cell deaths induced by 5-aminolevulinic acid-PDT can be impeded by an autophagy inhibitor, rather than a CASP inhibitor, showing that the cell death is autophagic in nature [154]. Their results are in agreement with those of Wang et al. who reported that the inhibition of autophagy decreases induced apoptosis in prostate cancer cells, suggesting that the apoptosis is autophagy dependent [155].

Moreover, it was demonstrated that apoptosis is one of the leading mechanisms mediating PDT-induced tumor cell death [156]. Recently, Ouyang et al. have reported that autophagy and apoptosis are induced by protoporphyrin IX (PpIX)-PDT in HCT116 cells, and the inhibition of autophagy using chloroquine and ATG7 gene silencing strengthens the pro-apoptotic effects of PpIX-PDT [157]. However, it has been reported that autophagy works as a programmed cell death pathway if apoptotic pathways are impaired or when cells are overexposed to photodynamic therapy [[158], [159], [160]]. In addition, it has been described that mitochondrial photo-damage can lead to the activation of the autophagy pathway. According to the above, it could be concluded that the application of mitochondrial-targeting PS molecules may lead to increased PDT benefits. In the following, we discuss the effects of PDT targeting on lysosomes, a highly important organelle in autophagy. Lysosomes are involved in the late steps in autophagy; this may explain why lysosomes may be an especially appropriate target for the initiation of lethal photo-damage [76]. The efficacy of lysosomal photo-damage appears to be partly from both promotion of autophagic stress and suppression of autophagic pro-survival functions [228]. In one study, Kessel et al. showed that the autophagy process is suppressed in cells with photo-damaged lysosomes due to the lack of functional lysosomes [24]. Such a blockage might suppress the potential pro-survival effects of autophagy and/or actually contribute to the cytotoxicity of the photosensitizer [24]. Consistent with these reports, Tsubone et al. showed that apoptosis is not the main cell death mechanism after lysosomal photo-damage [210]. TPPS2a (a porphyrin-based photosensitizer)-triggered HeLa cell death can be related to the loss of autophagic capability rather than the classical LMP [210].

Based on what we have described for lysosomes and their undeniable role in autophagy, this process seems to be activated to induce apoptosis-dependent or -independent cell death in a manner involving lysosomal targeting. Although autophagosomes can be developed in the absence of lysosomes, autophagy cannot be completed because of the lack of this organelle. Last, it seems that autophagy and apoptosis rates are dependent upon the cancer cell type, photosensitizer, and light dosage.

Photothermal therapy

Photothermal therapy definition

Hyperthermia is a method in which cells cultured on a plate and in a hot water bath are kept for different periods at different temperatures. Indeed, physically, heat is slowly transmitted to the molecules of the cell culture medium and then to the intracellular fluid. The results of such therapeutic procedure include improved oxygenation inside tumors due to temperature-induced increased blood flow, increased sensitivity of tumors to anticancer drugs and irradiation [161], and finally increased migration of immune cells to targets, allowing for a better control of tumor burden [162]. Perhaps the fundamental difference in photothermal therapies (PTT) induced by hyperthermia is that the pyrogenic agent is inside the cell, and, suddenly and usually, it takes a few minutes to transmit the temperature into the cell [163] Fig. 9. Based on this difference, information on the induction of thermal shock using these methods is more related to hyperthermia. Using modern therapeutic methods may allow the elimination of a cancer tumor at a particular point, even though one cannot completely immerse the entire body of the patient into hot water! Consequently, PTT can introduce the benefits of not having side effects to physicians more effectively than traditional hyperthermia.

Fig. 9.

Fig 9 dummy alt text

The left section of the figure depicts the tremendous effects of PTT on cell compartments, including genetic defects, membrane defects, and protein aggregation. The right section of the figure illustrates cellular defense mechanisms.

Photothermal therapy and autophagy

Among other advantages of nanotechnology on PTT, we can refer to the ability to load chemotherapy agents to NPs and induce chemo-photothermal therapy. For example, recently, Nam et al. have managed to destroy 85% of the cancer cells injected into mice through using this method [164]. Of course, it should be kept in mind that different types of NPs alone can also induce dispersity-dependent autophagy in different ways [165]. Autophagy inhibition can increase the cell killing ability of PTT through the apoptosis pathway, suggesting that combination therapy holds potential promise for future research and potential application of PTT assisted with autophagy modulators in cancer therapy [166]. Heat shock proteins (HSPs) and autophagy play a critical role in thermo-resistance. A variety of studies show that heat-induced apoptosis can be resisted by a class of proteins known as HSPs [167]. In PTT, heat converted from photothermal effects leads to damage of cytoplasmic components, resulting in the activation of autophagy. There are some studies showing that autophagy reduces cytotoxic effects of hyperthermia [168,169]. Xie et al. have shown that autophagosomes accumulate after heat stress as a result of increased autophagic flux in non-small cell lung cancer cells, as mediated by ER stress. Mocan et al. for the first time have revealed that both autophagy and apoptosis simultaneously occur in the same cell populations treated with near ablative temperatures, and that necroptosis may also be associated with this response [170,171]. However, there are studies showing autophagy or necroptotic cell death mechanisms after PTT [172]. Autophagy is proposed as an alternative cell death mechanism to apoptosis in response to PTT [173] (Table 5). Conversely, researchers have further demonstrated that heat-induced autophagy serves as a survival mechanism against apoptosis under in vitro and in vivo conditions [174]. Interestingly, studies have revealed that hyperthermia can result in increased ROS. In a recently-documented study, it has been shown that hyperthermia itself induces more sensitivity to radiotherapy through the production of ROS in colorectal cancer cells by autophagy-induced cell death [175]. This study is consistent with a study showing that the simultaneous use of oxidative stress with hyperthermia could lead to HT-29 cell death by autophagy [176].

Table 5.

Photothermal effects on cell signaling pathways.

Plasmonic NP Laser Wavelength Energy Cell exposed Subcellular target Effect Signal pathway activation Refs.
Gold nanoprisms/NPRs 1064 nm 30 W/cm2
2 min
Vero cells Cytosol Cell membrane rupture Necrotic cell death [177]
Gold nanoprisms (1064 nm 5W/cm2
2 min
MEF cells Lysosome BID activation Intrinsic apoptosis pathway [178]
Gold nanorod (GNR) 808 nm 3W/cm2
5 min
HeLa cells Lysosome apoptosis Autophagy (pro-survival role) [179]
Anti-EGFR-GNPs 820 nm 1.5 W/cm2 for 3 min MDA-MB-231 Mitochondria
Lysosome
Inhibiting the AKT1-MTOR signaling pathway Autophagic cell death [180]
GNR 808 nm 0.956 W
1.275 W
1.593 W
15 min
BL6-B16 melanoma cells Cytosolic signaling RIPK1 activation Temperature-dependent necroptotic cell death [181]
GNR 808 nm 20–50 W/cm2
5 min
HCT-116
ATCC
Perinuclear region
Lysosomes
Cell membrane and nucleus membrane rupture Apoptosis [182]
GNR 808 nm 5.8 W/cm2
Different time course
HSC-3 Nuclear region Increased phenylalanine Apoptotic cell death [183]

Photo-based therapy and tumor recurrence mediators

Autophagy crosstalk by signaling pathway

Studies have shown the role of autophagy in the emergence of tumor dormancy and recurrence by different mechanisms (Fig. 10 and Table 6) [184,185]. Lu et al. have shown that transient expression of this kinase can result in reversible autophagy in ovarian cancer cells, while its chronic expression leads to irreversible autophagy [186]. Furthermore, their studies suggested that the autophagy induced by this kinase (DIRAS3/ARHI) can make the cells enter a hibernation phase and then lead to tumor recurrence. More recently, studies have demonstrated that the suppression of KRAS causes increased autophagy in KRAS-/- pancreatic ductal adenocarcinoma (PDAC). Similar findings were also documented with the suppression of the KRAS effector, MAPK1 (mitogen-activated protein kinase 1), which might result in promising pharmacological combination strategies for the effective treatment of PDAC [187]. In other words, inhibition of KRAS-RAF-MAP2K/MEK-MAPK1/ERK signaling leads to autophagy, which is capable of protecting PDA cells from the cytotoxic effects of KRAS pathway inhibition. Mechanistically, MAP2K1/MEK1-MAP2K2/MEK2 inhibition results in activation of the STK11/LKB1 (serine/threonine kinase 11)-AMPK-ULK1 signaling axis, a central regulator of autophagy. In addition, combinational inhibition of MAP2K1-MAP2K2 plus autophagy exhibits synergistic anti-proliferative effects against PDA cell lines in vitro and increases regression of xenografted patient-derived PDA tumors in mice. In addition, results from that study indicate that growth factors and pre-inflammatory factors in the tissue can propel the autophagy of this kinase from autoimmune death to survival and tumor recurrence. It is noteworthy that cell dormancy is one of the vital characteristics for CSCs [188].

Fig. 10.

Fig 10 dummy alt text

All interactions between photo-based unwanted stresses and important processes which end in tumor metastasis, invasion, post transcriptional changes, angiogenesis, and tumor recurrence are depicted.

Table 6.

Autophagy-regulating factors and tumor fate.

Effectors Autophagy Level Signaling Pathway Tumor Fate Refs.
ATG4
ATG5
ATG7
High induction PI3K-AKT1-MTOR and MAPK Tumor dormancy and recurrence [184,185]
DIRAS3/ARHI transient expression Reversible induction PI3K-AKT1-MTOR and MAPK Tumor survival [189,190]
DIRAS3 chronic expression Irreversible induction PI3K-AKT1-MTOR and MAPK inhibition Tumor growth inhibition [190]
Pro-inflammatory and growth factors Induction DIRAS3-dependent survival Tumor dormancy and recurrence [188]
Sh3glb1/Bif-1, Uvrag, Sqstm1, Wipi Induction DIRAS3-dependent survival tumor dormancy and recurrence [191,192]
Bafilomycin A1 Low Induction ROS generation Tumor growth inhibition [193]
Inhibiting the integrin-PTK2-SRC pathway Unknown Dormancy Tumor recurrence [194,195]
Dormancy Inhibition MTOR inhibition Tumor recurrence [196]

In the previous section, it was pointed out that the pre-inflammatory factors induced by the explosion of some naturally necrotic cells or following a response to a therapeutic treatment are likely to use the above crosstalk and lead to the survival and recurrence of tumors. In addition to this phenomenon, it seems that some other genes related to autophagy, such as Sh3glb1/Bif-1 (SH3 domain containing GRB2 like, endophilin B1), UVRAG (UV radiation resistance associated), Sqstm1 [192], and Wipi (WD repeat domain, phosphoinositide interacting) [191], activate the same mechanisms. Moreover, in a recent study performed by Ramirez et al. on tumors of the mouse and human models of breast cancer, it has been shown that the Atg7/ATG7 gene plays a critical role in autophagy induction. They, once again, proved that inhibition of autophagy flux considerably eliminates metastatic cells using ROS and mitochondrial damage [197]. This means that the control of autophagy, as one of the best therapeutic strategies, in combination with other therapeutic methods in the clinical and preclinical phases is being advanced; in this regard, we recommend a useful review provided by Rebecca and Amaravadi [198]. It is noteworthy that, in addition to self-induced autophagy in response to the environmental stresses, the type of autophagy inhibitors also affects the therapeutic benefit through apoptosis induction. For example, Komata et al. have revealed that bafilomycin A1 has a more fatal effect on glioma cells when compared with 3-MA [199]. As described previously, it has been confirmed that the effect of inhibiting the integrin-PTK2/FAK (protein tyrosine kinase 2)-SRC (SRC proto-oncogene, non-receptor tyrosine kinase) in breast cancer cells and increasing the strength (hardness) of the extracellular matrix in lung cancer for metastatic growth is one of the signaling and communication pathways leading to dormancy [199]. In fact, in these studies the inhibitory role of signaling pathways has been shown to be the cellular connections via integrins and the effect of the tumor micro-environment on the metastatic growth of tumors (Table 7). Whether photo-based therapy, as an environmental stressor, activates or deactivates these pathways is a very important question that must be further addressed. In general, some studies have indicated that genetic changes in cancer cells, especially CSCs, have occurred so that they can experience transient growth in response to environmental stresses, even with the activation of oncogenes [200,201]. Nowadays, a variety of results have been obtained about the genetic damages induced by physical and chemical treatments such as radiotherapy, chemotherapy, photodynamic therapy, and photothermal therapy that lead to autophagy induction [202,203]. As pointed out previously, autophagy can have cytoprotective effects in cancer cells [203,204]. Nevertheless, very interestingly, Lu et al. indicated that this dual role of autophagy is fully dependent on the degree of autophagy that occurs in the cell in response to the imposed stress [205]. In fact, based on the results obtained from their valuable study, the group concluded that there might be an autophagy threshold in the cells to propel them to death or survival. They also recognized that the magnitude and rate of autophagy are tied to some cellular survival signaling pathways, in particular involving PI3K. The concept of cellular survival is very important in cancer cells, especially detached tumor cells [206]. That remain in another part of the body in a dormant phase, and it seems to be one of the main reasons for the recurrence of tumors [207,208].

Table 7.

Autophagic dormancy and metastasis mediators and their effects on tumor recurrence and invasion.

Process Signaling Pathway Controllers Effectors Results Tumor Fate Refs.
Autophagic dormancy Different types of stress ECM physicochemical characteristic Cellular stress Quiescence Tumor recurrence [[209], [210], [211]]
Niche hypoxia miRNA PDT stress Quiescence
HIF1A UPR MTOR inhibition
BECN1, ATG14 NOTCH Recurrence of dormant cells
ROS HIF1A, MAPK, AKT1(PDT stress) Senescence phase
ROS PDT stress (separation of cells from the ECM) Anoikis
Drugs (DOX) autophagy Quiescence
Autophagic metastasis EMT SMAD4, TWIST, SQSTM1, ULK2 TGFB1 Cell phenotype alteration Tumor invasion [212,213]
ATF4
ATG4
IKK
Extracellular dissociation Cell growth and differentiation
RHOA RHO Cell invasion
Genetic control PTK2 activity and recycling Cell motility
Genetic control IL6 Increased MMPs

IKK/IKB kinase, I kappa B kinases; RHO, ras homolog family; RHOA, ras homolog family member A; SMAD4, SMAD family member 4.

The role of the unfolded protein response in metastasis induced by photo-based therapy mediators

The role of UPR proteins, especially HSPA5/GRP78 (heat shock protein family A (Hsp70) member 5) and HSP90B1/GRP94 (heat shock protein 90 beta family member 1), has been confirmed in cancer patients with asymptomatic recurrent tumors and poor prognosis [214]. The study of the signaling pathways involved in autophagy and dormancy illustrates that the ER unfolded protein response and autophagy response are in line with each other. Studies on patient and animal models have indicated that the expression of UPR-regulating genes (HSPA5, HSP90B1, PDI, SERPINH1/HSP47 (serpin family H member 1), and PPIB/cyclophilin B) increases in dormant cells [215,216] (Table 8). The ERN1-XBP1 (X-box binding protein 1) pathway, is the most conserved branch of the UPR [217]. This molecule is an ultimate effector in the advancement and survival of breast tumor. In addition, the study on UPRs revealed that MAPK14/p38 increases the expression of EIF2AK3 and chaperone HSPA5 in response to the toxicity of drugs, consequently leading to drug resistance of HEp3 cells [218]. In the same regard, studies have revealed that the UPRs of the cancer cells are translocated to the cell surface followed by different types of stresses [219]. Table 8 indicates some of the relevant experiments in relation to the interaction of the UPR and EMT.

Table 8.

Evoked UPR signaling effects on metastasis.

Type of UPR induced by photo-based therapies Intracellular Effects Tumor Fate Refs.
HSPA5, HSP90B1, PDI, SERPINH1/HSP47 and PPIB Autophagic dormancy Tumorigenicity and tumor recurrence [216,220]
ATF6, ERN1 Cell cycle stoppage [221]
XBP1 Dormancy, survival [222]
EIF2AK3 Survival by increased CCND1, CCND3, and CCNA2, HSPA5 [223]
EIF2AK3-EIF2S1 EMT (FN1, SERPINE1 secretion) [224]
ATF4 ATG5, ATG7, and ULK1 upregulation Metastasis [225]
EIF2AK3 (ATF4-dependent) LAMP3 (autophagy activation) Metastasis [224]
ERN1 XBP1 Metastasis [226]

EIF2S1, eukaryotic translation initiation factor 2 subunit alpha; FN1, fibronectin 1; SERPINE1/PAI1, serpin family E member 1.

As shown in the next sections, tumor hypoxia is one of the features of tumors always controlled developmentally by genetic and epigenetic factors. Another important branch involved in the UPR pathway is ERN1-XBP1, which is significant in the induction of metastasis. Studies have indicated that XBP1 expression increases in CSCs [227], which is associated with angiogenesis, recurrence and metastasis (Fig. 10 and Table 8). Ultimately, the result of this discussion is that the application of phototherapy techniques, which can considerably activate the ER, may play a major role in metastasis and dormancy induction of tumor cells. Unfortunately, in light of what has been discussed in the previous sections, this pathway is one of the main targets involved in photo-based therapy methods. It is recommended that future studies attempt to select the photo-based therapy parameters in such a way that they make the least interaction with this system. These strategies can even concentrate on the development and increased pharmacological inhibition of the ER or its effector pathways.

The autophagic dormancy and post-transcriptional changes following photo-based therapy and metastasis

As discussed previously, metastatic dormancy emerges as a process in which cells separated from the tumor or in the tumor (particularly in CSCs) can stop growing (dormancy) under certain conditions and environmental stress and will grow again and produce a new tumor sometime later under favorable conditions. The exact mechanisms involved in this process have not been fully determined; however, the role of some physiological cellular processes, such as autophagy, which inherently play a protective role in the cell, has been proven. In addition to the role of autophagy in the induction of dormancy, there are studies demonstrating that autophagy results in an increased and activated metastasis process. Metastasis is a process in which the invasion and motility of cancer cells are facilitated by the epithelial-to-mesenchymal transition process. In this process, cancer cells via increased expression of transcription factors such as SNAI2 (snail family transcriptional repressor 2), TWIST1 (twist family bHLH transcription factor 1) and ZEBRA1 change the nature of cells and enable invasion, extracellular remodeling, escape from the immune system and resistance to apoptosis [228]. These behavioral characteristics originated from the EMT pathway cause the cancer cells to exit the tumor and enter the bloodstream or lymphatic system, resulting in invasion to the extravasation or intravasation organs [229]. It is noteworthy that dormancy is a process in which its occurrence does not depend on environmental stress but rather can happen after separation of the cells from the tumor site [230]. Nevertheless, as discussed above, it has definitely been shown that the induction of dormancy depends on the balance between stimulatory factors or cellular dormancy inhibitors [231,232]. Physicochemical characteristics of the extracellular matrix and epigenetic regulators, such as retinoic acid and hypoxia, can be referred to as some of the most important factors in tumor recurrence and the exit of dormant cells from quiescence [33,233]. To confirm the impact of environmental stress on the development of proper conditions for the exit of dormant cells from quiescence, it was indicated in a study that PDT-induced stress can increase cell metastasis via increased miRNAs involved in hypoxia [234]. Induction in the tumor niche and dormancy. In addition to the direct role of hypoxia in the characteristics of the stemness of the stem cells in the tumor [235], the hypoxic cells stimulate the cell survival pathways by inhibition of MTOR signaling (through activation of transcription factors induced by HIF1A) [236] and stimulation of the compatible responses with the intermediation of the UPR [237]. Following the application of these processes, the EMT pathway is activated, and consequently, by altering the cancer cell enzymes profile, increased invasion of the extracellular matrix and resistance to apoptosis occur.

Beside the various mediators involved in dormancy and autophagy-induced metastasis, the NOTCH (notch receptor) pathway also plays a key role in cancer metastasis. Different studies have indicated that this signaling pathway controls a variety of intracellular biological processes and pathways [238,239]. One of these processes is the activation of biological signaling cascades of regulatory T cells. The role of various cells of the immune system in the growth and survival of cancer cells was discussed above. Reports indicate that NOTCH intracellular domain (NIC) activity in these cells has been demonstrated by MTOR signaling, along with other proteins such as RPTOR (regulatory associated protein of MTOR complex 1) that is used to identify the stressor conditions (Fig. 10). However, the exact mechanisms of this interaction are not well defined although NIC activity is related to BECN1 and ATG14 (important components of the PtdIns3K complex). Scientists have concluded that the relationship between autophagy and NOTCH signaling is another critical factor playing a crucial role in determining the fate of cancer cells [239]. Different clinical studies have revealed that increased expression of NOTCH1 in patients with breast cancer is associated with poor prognosis and a very high percentage of tumor recurrence [240]. In 2015, a study conducted by Abravanel et al. showed that pharmacological inhibition of NOTCH signaling significantly inhibits the recurrence of dormant cells in breast cancer tumors. The results indicate that dormancy is a very significant, rate-limiting step in tumor progression and development, which is affected by NOTCH signaling; this can be considered as a therapeutic target [241]. Another issue is the role of ROS in metastatic and dormancy signaling pathways. In addition to their role in genome instability, ROS can regulate important tumorigenic pathways (such as HIF1A, MAPK, and AKT1) and enter the cell into the senescence phase when their levels increase [242]. The role of ROS has also been demonstrated in metastases, especially in CSCs. In addition, activation of ROS-dependent anoikis (cell separation from the extracellular matrix) has been shown [243]. It seems that the ability of cancer cells to maintain the balance between oxidative stress and ROS levels, is directly related to the activation of signaling pathways associated with cell survival, which control cell clusters and communication [244]. In fact, an important question is whether it is possible to make the cancer cells protect themselves by the formation of cell clusters and, ultimately, create tumors after increased intracellular ROS production using photo-based therapy [245].

For clinical translational purposes, metastasis and dormancy can have two important therapeutic aspects: First, each of the pathways involved in this process can be considered as a clinical therapeutic goal, and second, the parameters involved in therapeutic modalities must be carefully studied to specify the best therapeutic strategy for their unwanted activation. It appears that these approaches can be considered to be similar to the personalized medicine discussion. For example, as mentioned above, the types of cancers (with different pathways of mediators involved in autophagic dormancy induction) should be considered separately. In other words, different parameters of the same treatment procedures should not be considered adequate for all types of cancers. Furthermore, because the level of autophagy plays a critical role in determining the fate of the cancer cells in terms of survival and death, stresses applied to the tumors should be optimized through various therapeutic methods (phototherapy, radiotherapy, and chemotherapy) to have the least chance of metastasis induction. For example, the wavelength, intensity, and duration of radiation should be selected in phototherapy in such a way that they do not lead unwittingly to autophagy-induced dormancy. Our suggestion for such an optimization is to conduct extensive studies on the likelihood of the impact of various parameters on the expression or activation of the pathways involved in these processes. To the best of our knowledge, there are very few studies to date in this area and, in most papers, the researchers have focused only on the inhibition of autophagy and its impact on the benefit of therapeutic strategies. It seems that the lack of studies investigating the relationship between how different temperatures induce different pathways involved in the induction of dormancy, and metastasis is significant.

In clinical set up usage, the stress applied to cells in phototherapy (PDT, PTT) procedures can drive the invasiveness, metastasis, or dormancy of the cancer cells. To better answer this question, we should also consider other questions, including whether the parameters involved in photo-based therapy, such as light intensity, radiated light wavelength, ROS produced following PDT, heat produced in photothermal therapy, and even the thermal shock applied in the phototherapy process (Δt or temperature change per time unit), be considered as factors affecting the onset of the above trends. As discussed, according to our studies, there are very few reports that have examined the altered expression of the above-mentioned genes in response to phototherapy, which will be addressed separately.

In addition to the genetic and physical effects of the cell in response to phototherapy, studies have indicated that this therapeutic strategy also affects post-transcriptional pathways of cells through influencing the expression and inhibition of miRNAs (Fig. 10 and Table 9). Different studies have revealed that the laser type, PS type, laser dose, and radiation duration differently affect the expression of miRNAs in various types of cells. In this section, we will investigate the impacts of phototherapy on the expression of cell cycle, apoptosis and angiogenesis regulator miRNAs derived from factors facilitating tumorigenesis and recurrence as well as cancer metastasis; Table 10 summarizes some of the important studies. For example, MIR335 (microRNA 335) that regulates the proliferation and migration of stem cells increases with LLLT [254]. Furthermore, studies have shown that LLLT also changes the expression of miRNAs involved in cell differentiation [255,256]. In addition to the impact of phototherapy on stem cells, alterations in miRNA expression are associated with tumorigenicity, malignancy phase, differentiation, and growth of various types of tumors [[256], [257], [258], [259]]. According to recent theories it has been determined that hypoxia is essential in the cancer cell niche to maintain the characteristics of CSC stemness [260]. Therefore, increased expression of MIR210, which is expressed under hypoxic conditions, appears to be a practical response, as a defensive mechanism applied by tumors, for the induction of hypoxia in response to PDT. Similarly, a study carried out by Bach et al. showed that the profile of MIR8 that regulates the growth and differentiation of cancer cells significantly increases from its baseline state after 5 h of PDT [261]. However, the same group showed that 1223 miRNAs in humans show no expression change after PDT, based on molecular arrays. Of course, as mentioned in the previous sections, it seems that the reason for this behavioral difference is related to the type of cells as well as the various PDT parameters. For example, in further studies, the same group has shown that some miRNAs (MIR1260B, MIR1260, MIR1280, and MIR1246) exhibit a slight increase in response to a type of photosensitizer [262]. This is while the same profile only has a transient increase in response to treatment with laser light. These findings clarify the importance of further study on photo-based therapy more than ever, as they show how much these treatments affect the various biological pathways. As noted, it seems that such studies have been used more to examine the impact of temperature on tumors. This is a semi-invasive technique in which the patient should be floated in hot water for the therapeutic results to be investigated. As rightly noted, the fundamental difference with photothermal therapies seems to be that the pyrogenic agent is inside the cell; it usually takes a few minutes to transmit the external temperature to the cell. Thus, these approaches may be very different from the previous traditional method in terms of how the thermal shock is applied and the time the cell takes to respond to stress.

Table 9.

MicroRNA profile and their effects on tumor fate in response to photo-based therapy.

Type of photo-based stress Type of induced MicroRNA Cellular effects Tumor fate Refs.
LLLT MIR193 Stem cell proliferation Tumor growth [246,247]
MIR193 Genes involved in the cell cycle (CDK2 and ING5)
miRNAs cell migration, tumorigenesity, malignancy phase
PDT Apoptosis-specific miRNAs Apoptosis induction Tumor growth inhibition [248,249]
MIR210 Hypoxic augmentation of tumor microenvironment Stemness characteristic of CSCs,
tumor growth
MIR296 Angiogenesis Tumor growth and metastasis
MIR634, MIR1246, MIR1290 and MIR487B Regulation of cell stress, apoptosis, cell adherence and proliferation Tumor suppression
PTT miRNA control by HSPs AGO2 expression Tumor survival [250,251]
MIR10B, MIR15B and MIR139, MIR21 Oncogenic effects Tumor invasion and recurrence
Cell stress MIR21, let-7 family Invasion to target cells Metastasis invasion [252,253]

AGO2, argonaut RISC catalytic component 2; ING5, inhibitor of growth family member 5.

Table 10.

Different stressors induced by photo-based therapy affecting angiogenesis.

Different types of stressors inducing angiogenesis Mediators Signaling pathway Refs.
Hypoxia VEGF increase HIF1A-XBP1- or ATF4-dependent manner [111]
ER stress after PDT VEGF increase HIF1A, non-AMPK-dependent manner [271,272]
UPR HSPA5 VEGF-dependent manner [273,274]

Nonetheless, different studies have also shown the impact of hyperthermia on the expression of different miRNAs. The expression of miRNAs in different cancers depends on the cancer type and tissue and plays multiple roles such as altering the expression of various growth proteins, growth inhibition, and invasion to target cells [263,264]. In addition, the mentioned roles of miRNAs in cancer cell behavior are also very diverse and vary from tumorigenicity and differentiation to playing a role in EMT [265,266]. One of the most important roles of these molecules discussed in this review is the regulation of metastatic cascades, cellular migration, cellular invasion, binding and alteration of extracellular matrix of the cells nested in different tissues and EMT [267]. MIR21 and the let-7 family are two very important examples playing a vital role in tumorigenesis and metastasis [268]. Different studies have shown that, in normal conditions and in response to environmental stresses, cancer cells secrete these mentioned important miRNAs (in metastasis) to the blood in various packages, such as exosomes, and they communicate with other cells in the form of cell-to-cell communications that affect metastasis pathways [269]. To verify the effect of hyperthermia on miRNA secretion from breast cancer cells, Erbes et al. suggested that breast cancer cells release MIR10B, MIR15B and MIR139 in response to a 42-degree hyperthermia [251]. Given that the secretion of various miRNAs to the blood has been one of the most important characteristics of cancer cells and is now employed as a marker for diagnosis of cancer and metastasis, once again the following question is posed: Can phototherapy activate these pathways more and lead to more metastatic induction and tumor invasion to other healthy areas of the body? Moreover, the more important question is: Have we carefully investigated the parameters affecting this process?

The effect of photo-based therapy on angiogenesis

Angiogenesis, which serves to provide oxygen and nutrients, and therefore energy, in tumors, plays a highly significant role in metastasis [207]. This significance becomes more specified when we know that angiogenesis occurs from the cell dysplasia stage. Important mediators having crucial roles in the cell fate in response to photo-based therapy were discussed above, and Hassanpour et al. have recently reviewed the distinct role of autophagy in angiogenesis [270] (Table 10).

The effect of photo-based therapy on heat shock proteins

In recent years, a wide variety of studies have been conducted on the protective effects of HSPs and their mechanisms in response to various stresses, such as the effects of ROS produced by photo-based therapy, especially in response to the increased cellular temperature. Scientists have also discovered other important cellular protective roles of HSPs such as anti-apoptotic effects, intracellular signaling pathways, regulation of inflammatory factors and the immune system, and effects on autophagy [275]. The signaling pathways in which HSPs participate and their relationship to photo-based therapy are summarized in Fig. 10 and Table 11.

Table 11.

Roles of HSPs in cancer cell fate in response to different types of stresses.

Types of Heat shock proteins Stressor Intracellular effects Cells fate Refs.
HSP PDT Chaperone-mediated autophagy Survival [276]
HSPB8-HSPA4 PDT Prevent protein accumulation Survival by autophagy induction [277]
HSPB1 Cisplatin Autophagy Apoptosis [98,278]
HSPA1A Autophagy MAPK8 signaling pathway activation Inhibition of apoptosis [279,280]
HSP90AA1 Heat shock CDC37-HSP90AA1
ULK1 phosphorylation and ATG13 release
Autophagy induction [281]
HSP90AA1 Heat shock HSF1 ATG7, autophagy induction [282]
HSPB1 PDT Inhibiting the release of CYCS/cytochrome c Inhibition of apoptosis [283]
HSPD1 Heat shock Inhibiting CASP3 Anti-apoptotic [284]
HSPD1-HSP90AA1 Cellular stress TRAP1 Mitochondrial membrane stabilization [285]
HSPA4 Heat shock BAX-HSPA4 Inhibition of pro-CASP9 [286]
HSPA4-HSF1 Stress Autophagosome formation Apoptosis inhibition [287]
HSPA4 Drugs (chemotherapy) LC3 and ATG7
HSF1 knockdown
Resistance to chemotherapy [282]
HSP90AA1 PDT AKT1 activation Cell survival [288]

CDC37, cell division cycle 37, HSP90 cochaperone; HSPA1A/HSP72, heat shock protein family A (Hsp70) member 1A; HSPB8/HSP22, heat shock protein family B (small) member 8; TRAP1, TNF receptor associated protein 1.

The effect of photo-based therapy on immunotherapy

As discussed at the beginning of this review, it seems that inducing apoptotic cell death pathways is the best therapeutic intervention for tumors, which has the least possible negative consequences due to decreased release of tumor-growth factors. One of the most recent methods developed using phototherapy relies on the immune system. In recent years, the use of various stressors to stimulate cancer cells for expressing cell death antigens has been presented as a new therapeutic strategy [289]. (Fig. 10). In 2016, Malladi et al. indicated that in the dormant and quiescence phases, metastatic cells express fewer immune system receptors on their cell membrane through the inhibition of the WNT signaling pathway [290]; consequently, they remain less sensitive to a response from the immune system. In this method, cancer cells are driven by certain stresses to express molecular danger/damage-related patterns (DAMPs) in order to be identified and absorbed by the immune cells having receptors that can recognize these antigens [291]. Concerning this issue, some studies have been performed on methods of killing cancer cells via inducing the expression of the above-mentioned receptors following PDT [292,293]. Some of the work in this field is summarized in Table 12.

Table 12.

Relationship between photo-based therapy and immunotherapy.

Immunomodulatory agent Cellular Inductive factors Inflammatory response Cell fate Refs.
PDT Increased expression of specific DAMPs Identified by macrophages Killing by immune cells [291,293,294]
ATP, HMGB1, CALR, and HSP expression increased in cell surface Identified by macrophages
HSPA4 and HSP90AA1 transmitted to the cell membrane Identified by macrophage toll like receptors
PTT Autophagy induced by ROS CD4+ CD8+ are activated Tumor elimination by immune cells [[295], [296], [297]]
Expression of immune-associated proteins such as IL6 Tumor microenvironment change

CALR, calreticulin.

Conclusions and perspectives

Considering all of the studies discussed above, we can summarize with the following:

  • (1)

    As emphasized in this review about the importance of cancer cell death mechanisms on the outcome of treatment, we strongly suggest researchers who work in this field to develop and modulate different parameters of photo-based therapy for inducing apoptosis and autophagy-mediated cell death instead of necrotic cell death.

  • (2)

    The different levels of autophagy induction in response to different environmental stresses (in the case of this review, HSPs and PDT-induced ROS) can play important roles. Thus, if we know which levels of cellular stress will bring about which level of autophagy, we will likely have better therapeutic outcomes.

  • (3)

    The direct impact of the consequences of various perturbations on stressor-induced signaling pathways that directly and indirectly affect the induction of dormancy and ultimately the induction of tumor recurrence is very important; perhaps it will be possible to increase the phototherapy-based therapeutic benefit through the application of a simple pharmacological agent.

  • (4)

    The field would benefit from a general review of the use of photo-based therapy methods concerning the micro-environmental stimulating factors of the tumor such as hypoxia, which are essential for maintaining the stemness properties of CSCs, the change of microenvironmental niche to induce dormancy and metastasis, and the direct effect on angiogenesis following the induction of environmental stress.

  • (5)

    One recommendation that has been frequently posed throughout this review is that in future studies researchers should focus strongly on the investigation of the impacts of all parameters involved in phototherapy on the fate of cancer cells such as photo-synthesizers, radiated light wavelength, ROS levels, different levels of autophagy induction, wavelength intensity, and appliance of temperature change (sudden or stable).

  • (6)

    It is important to carry out an assessment of changes in vital organelles during autophagy induction, such as microtubules and lysosomes, following the appliance of phototherapy as well as their stimulation or inhibition in order to change the therapeutic benefits of the above methods.

  • (7)

    Various mediators such as secretion of miRNAs involved in invasion, growth, and differentiation of cancer cells must be studied more deeply in order for us to increase our knowledge of what patients are actually facing in response to photo-based therapies.

  • (8)

    Overall, PTT and PDT have been shown to have great advantages compared to commonly used chemotherapy agents that are listed in Table 13. However, some critical issues related to all possible undesired outcomes following PTT and PDT remain uncovered and require urgent consideration in the field of translational oncology.

Table 13.

Comparison the advantages and disadvantages of PTT, PDT and chemotherapy.

Treatment Strategy Tumoricidal mechanism(s) Advantages Disadvantages Cellular Fate Refs.
PTT and PDT -Localized immunosurveillance following immune cell death
-Activation anti-tumor cellular reactions
-TME remodeling
-Targeting capability
-Physical eradication of cancer cells
-Saturation of the cellular defensive mechanisms
-Combination therapy with other treatments
-Induction of UPR inside the cells
-High target/off-target ratio
-Fast damage process
-Poor pharmacokinetic features of NDDS
-Complicated development of nanostructures
-Fine tuning of the generated heat and ROS
-Possible evoking of the undesired biochemical process (Resistance autophagy, dormancy, invasiveness of the remnant cells)
-Apoptosis
-ICD
-Necroptosis
-Autophagic death
[291,293,294]
Traditional Chemotherapy -Inhibition of the cell's proliferation processes (DNA breaking, DNA methylation, cell structural defects such as microtubule formation inhibition) -Relative killing of cancer cells (mostly non-stem like cancer cells)
-Identified pharmacokinetic and pharmacodynamic features
-Uncontrolled biodistribution
-Systemic toxicity
-Non-targetability
-Induction of resistive mechanisms against cell death mechanisms
-Low targeting/off-target ratio
-Relatively long-term medication therapy (increase the cancer cells adjustment with induced stress)
-Apoptosis
-Necrosis
-Ferroptosis
[[295], [296], [297]]

Financial and competing interest

The authors declare no conflicts of interest and no competing financial interest in this work.

CRediT authorship contribution statement

Maryam Ghafarkhani: Writing – original draft, Investigation, Data curation. Meghdad Abdollahpour-Alitappeh: Writing – review & editing, Writing – original draft. Zahra Alizadeh: Investigation, Data curation. Solmaz Tabibi Azar: Investigation, Data curation. Mahdieh Nemati: Investigation, Data curation. Amir Zarebkohan: Writing – review & editing, Supervision, Conceptualization. Daniel J. Klionsky: Writing – review & editing, Validation, Supervision.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work is a part of MSc thesis of Maryam Ghafarkhani in medical nanotechnology at Tabriz University of Medical Sciences (TBZMED) (Grant number: 58854). DJK is supported by NIH grant GM131919.

Contributor Information

Amir Zarebkohan, Email: zarebkohana@tbzmed.ac.ir.

Daniel J. Klionsky, Email: klionsky@umich.edu.

References

  • 1.Dizon D.S., Kamal A.H. Cancer statistics2024: all hands on deck. CA Cancer J. Clin. 2024;74(1) doi: 10.3322/caac.21824. [DOI] [PubMed] [Google Scholar]
  • 2.Debela D.T., et al. New approaches and procedures for cancer treatment: current perspectives. SAGe Open Med. 2021;9 doi: 10.1177/20503121211034366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Elanany M.M., Mostafa D., Hamdy N.M. Remodeled tumor immune microenvironment (TIME) parade via natural killer cells reprogramming in breast cancer. Life Sci. 2023;330 doi: 10.1016/j.lfs.2023.121997. [DOI] [PubMed] [Google Scholar]
  • 4.Wang J., et al. Progression from ductal carcinoma in situto invasive breast cancer: molecular features and clinical significance. Signal. Transduct. Target. Ther. 2024;9(1):83. doi: 10.1038/s41392-024-01779-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Duan C., et al. Overcoming cancer multi-drug resistance (MDR): reasons, mechanisms, nanotherapeutic solutions, and challenges. Biomed. Pharmacother. 2023;162 doi: 10.1016/j.biopha.2023.114643. [DOI] [PubMed] [Google Scholar]
  • 6.Liu R., et al. Unveiling cancer dormancy: intrinsic mechanisms and extrinsic forces. Cancer Lett. 2024;591 doi: 10.1016/j.canlet.2024.216899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kornepati A.V., Vadlamudi R.K., Curiel T.J. Programmed death ligand 1 signals in cancer cells. Nat. Rev. Cancer. 2022;22(3):174–189. doi: 10.1038/s41568-021-00431-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ahmed K.R., et al. Antioxidants activities of phytochemicals perspective modulation of autophagy and apoptosis to treating cancer. Biomed. Pharmacother. 2024;174 doi: 10.1016/j.biopha.2024.116497. [DOI] [PubMed] [Google Scholar]
  • 9.Ploumi C., Papandreou M.-E., Tavernarakis N. The complex interplay between autophagy and cell death pathways. Biochem. J. 2022;479(1):75–90. doi: 10.1042/BCJ20210450. [DOI] [PubMed] [Google Scholar]
  • 10.Liu S., et al. Autophagy: regulator of cell death. Cell Death Dis. 2023;14(10):648. doi: 10.1038/s41419-023-06154-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Christidi E., Brunham L.R. Regulated cell death pathways in doxorubicin-induced cardiotoxicity. Cell Death Dis. 2021;12(4):339. doi: 10.1038/s41419-021-03614-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Gao H., et al. Biology of Bladder Cancer: From Molecular Insights to Clinical Strategies. Springer; 2025. The bladder tumor microenvironment; pp. 239–260. [Google Scholar]
  • 13.Weinberg B.A., et al. Rethinking the rise of early onset gastrointestinal cancers: acall to action. JNCI Cancer Spectr. 2025;9(1):pkaf002. doi: 10.1093/jncics/pkaf002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Jacinto C., et al. Nanoparticles based image-guided thermal therapy and temperature feedback. J. Mater. Chem. B. 2025;13:54–102. doi: 10.1039/d4tb01416b. [DOI] [PubMed] [Google Scholar]
  • 15.Xu G., et al. Survival strategies of cancer cells: the role of macropinocytosis in nutrient acquisition, metabolic reprogramming, and therapeutic targeting. Autophagy. 2025;(4):693–718. doi: 10.1080/15548627.2025.2452149. just-accepted. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Schonfeld E., et al. The landscape of immune checkpoint inhibitor clinical trials in glioblastoma: asystematic review. Neurooncol. Adv. 2024;6(1) doi: 10.1093/noajnl/vdae174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zhang Y., Zhou X. Targeting regulated cell death (RCD) in hematological malignancies: recent advances and therapeutic potential. Biomed. Pharmacother. 2024;175 doi: 10.1016/j.biopha.2024.116667. [DOI] [PubMed] [Google Scholar]
  • 18.Yang X., et al. cFLIP in the molecular regulation of astroglia-driven neuroinflammation in experimental glaucoma. J. Neuroinflammation. 2024;21(1):145. doi: 10.1186/s12974-024-03141-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shkarina K., Broz P. Seminars in Cell & Developmental Biology. Elsevier; 2024. Selective induction of programmed cell death using synthetic biology tools. [DOI] [PubMed] [Google Scholar]
  • 20.Chen Z., et al. Cell death in crustacean immune defense. Rev. Aquac. 2025;17(1) [Google Scholar]
  • 21.Lee J.S., et al. FLIP-mediated autophagy regulation in cell death control. Nat. Cell Biol. 2009;11(11):1355–1362. doi: 10.1038/ncb1980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Li H., et al. The interaction of CFLAR with p130Cas promotes cell migration. Biochim. Biophys. Acta (BBA)-Mol. Cell Res. 2023;1870(2) doi: 10.1016/j.bbamcr.2022.119390. [DOI] [PubMed] [Google Scholar]
  • 23.Gielecińska A., et al. Apoptosis, necroptosis, and pyroptosis as alternative cell death pathways induced by chemotherapeutic agents? Biochim. Biophys. Acta (BBA)-Rev. Cancer. 2023;1878(6) doi: 10.1016/j.bbcan.2023.189024. [DOI] [PubMed] [Google Scholar]
  • 24.Malik S., et al. Tumor-associated macrophages: asentinel of innate immune system in tumor microenvironment gone haywire. Cell Biol. Int. 2024;48(10):1406–1449. doi: 10.1002/cbin.12226. [DOI] [PubMed] [Google Scholar]
  • 25.Cifuentes M., et al. Low-grade chronic inflammation: ashared mechanism for chronic diseases. Physiology. 2025;40(1):4–25. doi: 10.1152/physiol.00021.2024. [DOI] [PubMed] [Google Scholar]
  • 26.Zhang X., et al. Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification. Sci. Rep. 2025;15(1):1704. doi: 10.1038/s41598-025-85532-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wu L., Liu C., Hu W. Comprehensive investigation of matrix metalloproteinases in skin cutaneous melanoma: diagnostic, prognostic, and therapeutic insights. Sci. Rep. 2025;15(1):2152. doi: 10.1038/s41598-025-85887-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.van Leeuwen B.L., et al. Geriatric Surgery and Perioperative Care. Elsevier; 2025. Aging, pathophysiological changes, and their impact on anesthesia and surgery; pp. 15–26. [Google Scholar]
  • 29.Gerstberger S., Jiang Q., Ganesh K. Metastasis. Cell. 2023;186(8):1564–1579. doi: 10.1016/j.cell.2023.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Shen L., et al. Spermidine antagonizes the anti-cancer effect of cold atmospheric plasma and induces transit G0/G1 cell cycle arrest of triple negative breast cancers. Free Radic. Biol. Med. 2025;229:30–38. doi: 10.1016/j.freeradbiomed.2025.01.024. [DOI] [PubMed] [Google Scholar]
  • 31.Wani A.K., et al. Targeting apoptotic pathway of cancer cells with phytochemicals and plant-based nanomaterials. Biomolecules. 2023;13(2):194. doi: 10.3390/biom13020194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wang Z., et al. The crosstalk between senescence, tumor, and immunity: molecular mechanism and therapeutic opportunities. MedComm. 2025;6(1) doi: 10.1002/mco2.70048. (2020) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Min H.-Y., Lee H.-Y. Cellular dormancy in cancer: mechanisms and potential targeting strategies. Cancer Res. Treat. Off. J. Korean Cancer Assoc. 2023;55(3):720–736. doi: 10.4143/crt.2023.468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Damen M.P., van Rheenen J., Scheele C.L. Targeting dormant tumor cells to prevent cancer recurrence. FEBS J. 2021;288(21):6286–6303. doi: 10.1111/febs.15626. [DOI] [PubMed] [Google Scholar]
  • 35.Sun Y., et al. Mitophagy-mediated tumor dormancy protects cancer cells from chemotherapy. Biomedicines. 2024;12(2):305. doi: 10.3390/biomedicines12020305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Olaoba O.T., et al. Driver mutations in pancreatic cancer and opportunities for targeted therapy. Cancers. 2024;16(10):1808. doi: 10.3390/cancers16101808. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tiwari H., et al. Advancing era and rising concerns in nanotechnology-based cancer treatment. ACS Chem. Health Saf. 2024;31(2):153–161. [Google Scholar]
  • 38.Melosky B., et al. The continually evolving landscape of novel therapies in oncogene-driven advanced non-small-cell lung cancer. Ther. Adv. Med. Oncol. 2025;17 doi: 10.1177/17588359241308784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.De Las Rivas J., et al. Cancer drug resistance induced by EMT: novel therapeutic strategies. Arch. Toxicol. 2021;95(7):2279–2297. doi: 10.1007/s00204-021-03063-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yadav D., Malviya R. Novel nanomaterials as photo-activated cancer diagnostics and therapy. Med. Adv. 2023;1(3):190–209. [Google Scholar]
  • 41.Chen D., et al. Controllable synthesis and biomedical applications of bismuth-based nanospheres: enhanced photothermal therapy and CT imaging efficiency. Nanoscale. 2025;17:2281–2291. doi: 10.1039/d4nr04024d. [DOI] [PubMed] [Google Scholar]
  • 42.de Brito R.V., et al. The rationale for “Laser-induced thermal therapy (LITT) and intratumoral cisplatin” approach for cancer treatment. Int. J. Mol. Sci. 2022;23(11):5934. doi: 10.3390/ijms23115934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Mitsunaga M., et al. Cancer cell–selective in vivonear infrared photoimmunotherapy targeting specific membrane molecules. Nat. Med. 2011;17:1685. doi: 10.1038/nm.2554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Frankowski D.W., et al. Light buckets and laser beams: mechanisms and applications of photobiomodulation (PBM) therapy. Geroscience. 2025;17:1–13. doi: 10.1007/s11357-025-01505-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Rastogi M., et al. Label-free and real-time assessment of 660 nm red light photobiomodulation induced molecular alterations in human adipose derived mesenchymal stem cells using micro Raman spectroscopy. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2025;329 doi: 10.1016/j.saa.2024.125552. [DOI] [PubMed] [Google Scholar]
  • 46.Liu Y., Tong Y. Effects of photobiomodulation therapy on acute recovery after exhausting cycling exercise. Mol. Cell. Biomech. 2025;22(1):823. -823. [Google Scholar]
  • 47.Hamblin M.R., Nelson S.T., Strahan J.R. Photobiomodulation and cancer: what is the truth? Photomed. Laser. Surg. 2018;36(5):241–245. doi: 10.1089/pho.2017.4401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Yu H., et al. Metabolic reprogramming induced by PSMA4 overexpression facilitates bortezomib resistance in multiple myeloma. Ann. Hematol. 2025;104:1–15. doi: 10.1007/s00277-024-06163-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Shahabad Z.A., et al. Photothermal effect of albumin-modified gold nanorods diminished neuroblastoma cancer stem cells dynamic growth by modulating autophagy. Sci. Rep. 2022;12(1) doi: 10.1038/s41598-022-15660-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Sacchettino L., et al. Altered microbiome and metabolome profiling in fearful companion dogs: an exploratory study. PLoS One. 2025;20(1) doi: 10.1371/journal.pone.0315374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Wang L., et al. Photobiomodulation: shining a light on depression. Theranostics. 2025;15(2):362. doi: 10.7150/thno.104502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Yoshida R., et al. Enhancement of differentiation and mineralization of human dental pulp stem cells via TGF-β signaling in low-level laser therapy using Er: YAG lasers. J. Oral Biosci. 2025;67(1):100617. doi: 10.1016/j.job.2025.100617. [DOI] [PubMed] [Google Scholar]
  • 53.Ruan Y., et al. Irradiation by high-intensity red light-emitting diode enhances human bone marrow mesenchymal stem cells osteogenic differentiation and mineralization through wnt/β-catenin signaling pathway. Lasers Med. Sci. 2021;36:55–65. doi: 10.1007/s10103-020-03002-5. [DOI] [PubMed] [Google Scholar]
  • 54.Waki Y., et al. Effects of green light-emitting diode irradiation on hepatic differentiation of hepatocyte-like cells generated from human adipose-derived mesenchymal cells. Sci. Rep. 2023;13(1) doi: 10.1038/s41598-023-45967-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Arany P.R. Photobiomodulation-activated latent transforming growth factor-β1: a critical clinical therapeutic pathway and an endogenous optogenetic tool for discovery. Photobiomodul. Photomed. Laser Surg. 2022;40(2):136–147. doi: 10.1089/photob.2021.0109. [DOI] [PubMed] [Google Scholar]
  • 56.Arranz-Paraíso D., et al. Mitochondria and light: an overview of the pathways triggered in skin and retina with incident infrared radiation. J. Photochem. Photobiol. B Biol. 2023;238 doi: 10.1016/j.jphotobiol.2022.112614. [DOI] [PubMed] [Google Scholar]
  • 57.Bahrami R., et al. The impact of low-level laser therapy (photobiomodulation) on the complications associated with conventional dental treatments and oral disorders: a literature review. J. Dent. Sci. 2024;20:901–910. doi: 10.1016/j.jds.2024.08.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Smolková, B., Alteration of the redox signalling in liver cancer cells by non-thermal plasma and laser irradiation. 2022.
  • 59.Tripodi N., et al. The effects of polarized photobiomodulation on cellular viability, proliferation, mitochondrial membrane potential and apoptosis in human fibroblasts: potential applications to wound healing. J. Photochem. Photobiol. B Biol. 2022;236 doi: 10.1016/j.jphotobiol.2022.112574. [DOI] [PubMed] [Google Scholar]
  • 60.Stepanov Y.V., et al. Red and near infrared light-stimulated angiogenesis mediated via Ca2+ influx, VEGF production and NO synthesis in endothelial cells in macrophage or malignant environments. J. Photochem. Photobiol. B Biol. 2022;227 doi: 10.1016/j.jphotobiol.2022.112388. [DOI] [PubMed] [Google Scholar]
  • 61.Maghfour J., et al. Photobiomodulation CME part I: overview and mechanism of action. J. Am. Acad. Dermatol. 2024;91(5):793–802. doi: 10.1016/j.jaad.2023.10.073. [DOI] [PubMed] [Google Scholar]
  • 62.Sharma S.K., Sardana S., Hamblin M.R. Role of opsins and light or heat activated transient receptor potential ion channels in the mechanisms of photobiomodulation and infrared therapy. J. Photochem. Photobiol. 2023;13 [Google Scholar]
  • 63.Scherz-Shouval R., et al. Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4. EMBO J. 2019;38(10) doi: 10.15252/embj.2019101812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Yun H.R., et al. Roles of autophagy in oxidative stress. Int. J. Mol. Sci. 2020;21(9):3289. doi: 10.3390/ijms21093289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Fei M., et al. Inhibition of cathepsin S induces mitochondrial apoptosis in glioblastoma cell lines through mitochondrial stress and autophagosome accumulation. Front. Oncol. 2020;10 doi: 10.3389/fonc.2020.516746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Jere S.W., Houreld N.N., Abrahamse H. Photobiomodulation activates the PI3K/AKT pathway in diabetic fibroblast cells in vitro. J. Photochem. Photobiol. B Biol. 2022;237 doi: 10.1016/j.jphotobiol.2022.112590. [DOI] [PubMed] [Google Scholar]
  • 67.Psilopatis I., et al. The emerging role of histone deacetylase inhibitors in cervical cancer therapy. Cancers. 2023;15(8):2222. doi: 10.3390/cancers15082222. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Zare F., et al. Photobiomodulation with 630 plus 810 nm wavelengths induce more in vitro cell viability of human adipose stem cells than human bone marrow-derived stem cells. J. Photochem. Photobiol. B Biol. 2019;201 doi: 10.1016/j.jphotobiol.2019.111658. [DOI] [PubMed] [Google Scholar]
  • 69.Tittelmeier, J., et al., Evaluation of near-infrared light therapy for the treatment of neurodegenerative diseases: limited penetration depth into the brain likely hinders efficacy. bioRxiv, 2024: p. 2024.11.18.624091.
  • 70.Nie F., et al. Biphasic dose response in the anti-inflammation experiment of PBM. Lasers Med. Sci. 2023;38(1):66. doi: 10.1007/s10103-022-03664-3. [DOI] [PubMed] [Google Scholar]
  • 71.Hurry M.M., et al. Proceedings of the AIP Conference. AIP Publishing; 2022. Biphasic dose-response of low-level laser therapy on culture cells fibroblasts. [Google Scholar]
  • 72.Alam S.R., et al. Characterization of mitochondrial dysfunction due to laser damage by 2-photon FLIM microscopy. Sci. Rep. 2022;12(1) doi: 10.1038/s41598-022-15639-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Shu C.-W., et al. RelA-mediated BECN1 expression is required for reactive oxygen species-induced autophagy in oral cancer cells exposed to low-power laser irradiation. PLoS One. 2016;11(9) doi: 10.1371/journal.pone.0160586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Marinho M.A.G., et al. Photodynamic therapy with curcumin and near-infrared radiation as an antitumor strategy to glioblastoma cells. Toxicol. In Vitro. 2024;100 doi: 10.1016/j.tiv.2024.105917. [DOI] [PubMed] [Google Scholar]
  • 75.Bahr A.C., et al. Photobiomodulation and physical exercise modulate of cell survival proteins in the skeletal muscle of rats with heart failure and diabetes mellitus. Photobiomodul. Photomed. Laser Surg. 2024;42(12):768–778. doi: 10.1089/photob.2024.0073. [DOI] [PubMed] [Google Scholar]
  • 76.Martins W.K., et al. Autophagy regulation and photodynamic therapy: insights to improve outcomes of cancer treatment. Front. Oncol. 2021;10 doi: 10.3389/fonc.2020.610472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Khan I., et al. Deciphering the role of autophagy in treatment of resistance mechanisms in glioblastoma. Int. J. Mol. Sci. 2021;22(3):1318. doi: 10.3390/ijms22031318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Zhu S., et al. Blue light induces skin apoptosis and degeneration through activation of the endoplasmic reticulum stress-autophagy apoptosis axis: protective role of hydrogen sulfide. J. Photochem. Photobiol. B Biol. 2022;229 doi: 10.1016/j.jphotobiol.2022.112426. [DOI] [PubMed] [Google Scholar]
  • 79.Bostanciklioglu M., et al. Assessment of the effect of laser irradiations at different wavelengths (660, 810, 980, and 1064 nm) on autophagy in a rat model of mucositis. Lasers Med. Sci. 2015;30(4):1289–1295. doi: 10.1007/s10103-015-1727-4. [DOI] [PubMed] [Google Scholar]
  • 80.Luan X., et al. Recent near-infrared light-activated nanomedicine toward precision cancer therapy. J. Mater. Chem. B. 2021;9(35):7076–7099. doi: 10.1039/d1tb00671a. [DOI] [PubMed] [Google Scholar]
  • 81.Frigo L., et al. The effect of low-level laser irradiation (In-Ga-Al-AsP - 660 nm) on melanoma in vitro and in vivo. BMC Cancer. 2009;9:404. doi: 10.1186/1471-2407-9-404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Lin Y.-Y., Lee S.-Y., Cheng Y.-J. Low-level laser therapy induces melanoma tumor growth by promoting angiogenesis. Life. 2023;13(2):320. doi: 10.3390/life13020320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Liu H., et al. Black phosphorus, an emerging versatile nanoplatform for cancer immunotherapy. Pharmaceutics. 2021;13(9):1344. doi: 10.3390/pharmaceutics13091344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Rhee Y.H., et al. Low-level laser therapy promoted aggressive proliferation and angiogenesis through decreasing of transforming growth factor-beta1 and increasing of akt/hypoxia inducible factor-1alpha in anaplastic thyroid cancer. Photomed. Laser. Surg. 2016;34(6):229–235. doi: 10.1089/pho.2015.3968. [DOI] [PubMed] [Google Scholar]
  • 85.Zhao W., et al. Photodynamic therapy for cancer: mechanisms, photosensitizers, nanocarriers, and clinical studies. MedComm. 2024;5(7) doi: 10.1002/mco2.603. (2020) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Aniogo E.C., George B.P., Abrahamse H. Molecular effectors of photodynamic therapy-mediated resistance to cancer cells. Int. J. Mol. Sci. 2021;22(24) doi: 10.3390/ijms222413182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Ayuk S.M., Abrahamse H. mTOR signaling pathway in cancer targets photodynamic therapy in vitro. Cells. 2019;8(5):431. doi: 10.3390/cells8050431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Nosrati P., Rahimi R., Molaabasi F. Visible-light types I and II N-TiO2-based iron metalloporphyrin for efficient photodynamic therapy. J. Iran. Chem. Soc. 2024;21:1–13. [Google Scholar]
  • 89.Dudzik T., Domański I., Makuch S. The impact of photodynamic therapy on immune system in cancer–an update. Front. Immunol. 2024;15 doi: 10.3389/fimmu.2024.1335920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Hilf R. Photodynamic Therapy. CRC Press; 2020. Cellular targets of photodynamic therapy as a guide to mechanisms; pp. 47–54. [Google Scholar]
  • 91.Sharma D., et al. Nanomaterials For Photodynamic Therapy. Elsevier; 2023. Mechanisms of photodynamic therapy; pp. 41–54. [Google Scholar]
  • 92.Ma W. Mechanisms of photodynamic therapy with applications in tumor cells. MedScien. 2024;1(7):1–6. [Google Scholar]
  • 93.Yao Y., et al. Elsinochrome A induces cell apoptosis and autophagy in photodynamic therapy. J. Cell. Biochem. 2023;124(9):1346–1365. doi: 10.1002/jcb.30451. [DOI] [PubMed] [Google Scholar]
  • 94.Soriano J., Mora-Espí I., Alea-Reyes M., et al. Cell death mechanisms in tumoral and Non-Tumoral human cell lines triggered by photodynamic treatments: Apoptosis, necrosis and parthanatos. Sci. Rep. 2017;7:41340. doi: 10.1038/srep41340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Inglot, J., et al., Photodynamic therapy for thyroid cancer. 2025.
  • 96.Zeng L., et al. Inhibition of autophagy with Chloroquine enhanced apoptosis induced by 5-aminolevulinic acid-photodynamic therapy in secondary hyperparathyroidism primary cells and organoids. Biomed. Pharmacother. 2021;142 doi: 10.1016/j.biopha.2021.111994. [DOI] [PubMed] [Google Scholar]
  • 97.Tu P., et al. MPPa-PDT induced apoptosis and autophagy through JNK and p38 MAPK signaling pathways in A549 cells. Biocell. 2024;48(11):1603–1612. [Google Scholar]
  • 98.Sun Y., et al. Highly efficient water-soluble photosensitizer based on chlorin: synthesis, characterization, and evaluation for photodynamic therapy. ACS Pharmacol. Transl. Sci. 2021;4(2):802–812. doi: 10.1021/acsptsci.1c00004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Escudero A., et al. Photodynamic therapy: photosensitizers and nanostructures. Mater. Chem. Front. 2021;5(10):3788–3812. [Google Scholar]
  • 100.He H., et al. FUNDC1-mediated mitophagy regulates photodamage independently of the PINK1/Parkin-dependent pathway. Free Radic. Biol. Med. 2024;225:630–640. doi: 10.1016/j.freeradbiomed.2024.10.272. [DOI] [PubMed] [Google Scholar]
  • 101.de Souza Á.C., et al. Necroptosis as a consequence of photodynamic therapy in tumor cells. Lasers Med. Sci. 2024;39(1):267. doi: 10.1007/s10103-024-04218-5. [DOI] [PubMed] [Google Scholar]
  • 102.Sipos F., Műzes G. Interconnection of CD133 stem cell marker with autophagy and apoptosis in colorectal cancer. Int. J. Mol. Sci. 2024;25(20) doi: 10.3390/ijms252011201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Fiegler-Rudol J., et al. Hypericin-mediated photodynamic therapy for head and neck cancers: asystematic review. Biomedicines. 2025;13(1):181. doi: 10.3390/biomedicines13010181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Shi M., et al. The effect of autophagy on hemoporfin-mediated photodynamic therapy in human umbilical vein endothelial cells. Photodiagn. Photodyn. Ther. 2024;47 doi: 10.1016/j.pdpdt.2024.104196. [DOI] [PubMed] [Google Scholar]
  • 105.Vadarevu H., et al. Autophagy regulation using multimodal chlorin e6-loaded polysilsesquioxane nanoparticles to improve photodynamic therapy. Pharmaceutics. 2023;15(5):1548. doi: 10.3390/pharmaceutics15051548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Papa V., et al. Photodynamic therapy in cancer: insights into cellular and molecular pathways. Curr. Issues. Mol. Biol. 2025;47(2):69. doi: 10.3390/cimb47020069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Nguyen H.T., et al. Regulation of autophagy by perilysosomal calcium: anew player in β-cell lipotoxicity. Exp. Mol. Med. 2024;56(2):273–288. doi: 10.1038/s12276-024-01161-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Galinari C.B., et al. Photoinactivation mechanism of hypericin nanoencapsulated in P123 against microsporum canis. Future Microbiol. 2024;19(18):1535–1544. doi: 10.1080/17460913.2024.2412481. [DOI] [PubMed] [Google Scholar]
  • 109.Sun Q., et al. A “chase and block” strategy for enhanced cancer therapy with hypoxia-promoted photodynamic therapy and autophagy inhibition based on upconversion nanocomposites. Adv. Healthc. Mater. 2023;12(27) doi: 10.1002/adhm.202301087. [DOI] [PubMed] [Google Scholar]
  • 110.Sorice M. MDPI; 2022. Crosstalk of Autophagy and Apoptosis; p. 1479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Wang M., et al. A crosstalk between autophagy and apoptosis in intracerebral hemorrhage. Front. Cell Neurosci. 2024;18 doi: 10.3389/fncel.2024.1445919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Lebiedzinska-Arciszewska M., et al. Distribution of the p66Shc adaptor protein among mitochondrial and mitochondria—Associated membranes fractions in normal and oxidative stress conditions. Int. J. Mol. Sci. 2024;25(23) doi: 10.3390/ijms252312835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Prill M., et al. p66Shc Protein—Oxidative stress sensor or redox enzyme: its potential role in mitochondrial metabolism of Human breast cancer. Cancers. 2024;16(19):3324. doi: 10.3390/cancers16193324. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Dovrou E., et al. Influence of ambient and endogenous H2O2 on reactive oxygen species concentrations and OH radical production in the respiratory tract. Environ. Sci. Atmos. 2023;3(7):1066–1074. [Google Scholar]
  • 115.Veal E.A., Kritsiligkou P. How are hydrogen peroxide messages relayed to affect cell signalling? Curr. Opin. Chem. Biol. 2024;81 doi: 10.1016/j.cbpa.2024.102496. [DOI] [PubMed] [Google Scholar]
  • 116.Lennicke C., Cochemé H.M. Redox metabolism: ROS as specific molecular regulators of cell signaling and function. Mol. Cell. 2021;81(18):3691–3707. doi: 10.1016/j.molcel.2021.08.018. [DOI] [PubMed] [Google Scholar]
  • 117.Welsh C.L., Madan L.K. Protein tyrosine phosphatase regulation by reactive oxygen species. Adv. Cancer Res. 2024;162:45–74. doi: 10.1016/bs.acr.2024.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Liu R., et al. Human protein tyrosine phosphatase 1B (PTP1B): from structure to clinical inhibitor perspectives. Int. J. Mol. Sci. 2022;23(13):7027. doi: 10.3390/ijms23137027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Liu R., et al. Cisplatin causes covalent inhibition of protein-tyrosine phosphatase 1B (PTP1B) through reaction with its active site cysteine: molecular, cellular and in vivo mice studies. Biomed. Pharmacother. 2022;153 doi: 10.1016/j.biopha.2022.113372. [DOI] [PubMed] [Google Scholar]
  • 120.Smith S.L. Aston University; 2022. The Biological Role of Redox Signalling By the Tumour Suppressor PTEN. [Google Scholar]
  • 121.Sadiq I.Z. Free radicals and oxidative stress: signaling mechanisms, redox basis for human diseases, and cell cycle regulation. Curr. Mol. Med. 2023;23(1):13–35. doi: 10.2174/1566524022666211222161637. [DOI] [PubMed] [Google Scholar]
  • 122.Lopez-Hernandez A., Sberna S., Campaner S. Emerging principles in the transcriptional control by YAP and TAZ. Cancers. 2021;13(16):4242. doi: 10.3390/cancers13164242. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Asante Y., et al. PAX3-FOXO1 uses its activation domain to recruit CBP/P300 and shape RNA Pol2 cluster distribution. Nat. Commun. 2023;14(1):8361. doi: 10.1038/s41467-023-43780-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Yang-Jensen K.C., et al. Modification of extracellular matrix proteins by oxidants and electrophiles. Biochem. Soc. Trans. 2024;52(3):1199–1217. doi: 10.1042/BST20230860. BST20230860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Han Y., et al. Mechanism of histone deacetylases in cardiac hypertrophy and its therapeutic inhibitors. Front. Cardiovasc. Med. 2022;9 doi: 10.3389/fcvm.2022.931475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Singh H., et al. Antioxidants in aging. Antioxid. Nat. Defense Against Dis. 2025:257–283. [Google Scholar]
  • 127.Jin Z., et al. Myeloperoxidase targets apolipoprotein AI for site-specific tyrosine chlorination in atherosclerotic lesions and generates dysfunctional high-density lipoprotein. Chem. Res. Toxicol. 2021;34(6):1672–1680. doi: 10.1021/acs.chemrestox.1c00086. [DOI] [PubMed] [Google Scholar]
  • 128.Soares V.E.M., et al. Role of inflammation and oxidative stress in tissue damage associated with cystic fibrosis: CAPE as a future therapeutic strategy. Mol. Cell. Biochem. 2022;477(1):39–51. doi: 10.1007/s11010-021-04263-6. [DOI] [PubMed] [Google Scholar]
  • 129.Park M., et al. CosR regulation of perR transcription for the control of oxidative stress defense in Campylobacter jejuni. Microorganisms. 2021;9(6):1281. doi: 10.3390/microorganisms9061281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Unal G., Fussenegger M. At the crossroads of biology and electronics. Curr. Opin. Biotechnol. 2025;91 doi: 10.1016/j.copbio.2024.103249. [DOI] [PubMed] [Google Scholar]
  • 131.Matuz-Mares D., Vázquez-Meza H., Vilchis-Landeros M.M. NOX as a therapeutic target in liver disease. Antioxidants. 2022;11(10):2038. doi: 10.3390/antiox11102038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Ferreira A., et al. Crucial role of oncogenic KRAS mutations in apoptosis and autophagy regulation: therapeutic implications. Cells. 2022;11(14):2183. doi: 10.3390/cells11142183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Farhan M. Revisiting the antioxidant-prooxidant conundrum in cancer research. Med. Oncol. 2024;41(7):179. doi: 10.1007/s12032-024-02386-6. [DOI] [PubMed] [Google Scholar]
  • 134.Shen Y.-A., et al. Inhibition of the MYC-regulated glutaminase metabolic axis is an effective synthetic lethal approach for treating chemoresistant ovarian cancers. Cancer Res. 2020;80(20):4514–4526. doi: 10.1158/0008-5472.CAN-19-3971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Talwar D., Dick T.P. Redox Chemistry and Biology of Thiols. Elsevier; 2022. Thiol peroxidase-based redox relays; pp. 307–320. [Google Scholar]
  • 136.Rouzbehani A.K., et al. Hydrogen as a potential therapeutic approach in the treatment of cancer: from bench to bedside. Mol. Hydrog. Health Dis. 2024;28:207–230. [Google Scholar]
  • 137.Gaudu P., Weiss B. SoxR, a [2Fe-2S] transcription factor, is active only in its oxidized form. Proc. Natl. Acad. Sci. 1996;93(19):10094–10098. doi: 10.1073/pnas.93.19.10094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Jing Y.-Z., Li S.-J., Sun Z.-J. Gas and gas-generating nanoplatforms in cancer therapy. J. Mater. Chem. B. 2021;9(41):8541–8557. doi: 10.1039/d1tb01661j. [DOI] [PubMed] [Google Scholar]
  • 139.Hirano S.I., et al. Clinical use and treatment mechanism of molecular hydrogen in the treatment of various kidney diseases including diabetic kidney disease. Biomedicines. 2023;11(10):2817. doi: 10.3390/biomedicines11102817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Ohta S. Direct targets and subsequent pathways for molecular hydrogen to exert multiple functions: focusing on interventions in radical reactions. Curr. Pharm. Des. 2021;27(5):595–609. doi: 10.2174/1381612826666200806101137. [DOI] [PubMed] [Google Scholar]
  • 141.Li B., et al. Targeting glutaminase 1 attenuates stemness properties in hepatocellular carcinoma by increasing reactive oxygen species and suppressing wnt/beta-catenin pathway. EBioMedicine. 2019;39:239–254. doi: 10.1016/j.ebiom.2018.11.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Talwar D., Messens J., Dick T.P. A role for annexin A2 in scaffolding the peroxiredoxin 2–STAT3 redox relay complex. Nat. Commun. 2020;11(1):4512. doi: 10.1038/s41467-020-18324-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Slezak J., et al. Oxidative stress and pathways of molecular hydrogen effects in medicine. Curr. Pharm. Des. 2021;27(5):610–625. doi: 10.2174/1381612826666200821114016. [DOI] [PubMed] [Google Scholar]
  • 144.Du Y., et al. Hydrogen-rich saline—A novel neuroprotective agent in a mouse model of experimental cerebral ischemia via the ROS-NLRP3 inflammasome signaling pathway in vivo and in vitro. Brain Sci. 2023;13(6):939. doi: 10.3390/brainsci13060939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Chen L., et al. Hydrogen treatment protects mice against chronic pancreatitis by restoring regulatory T cells loss. Cell. Physiol. Biochem. 2017;44(5):2005–2016. doi: 10.1159/000485906. [DOI] [PubMed] [Google Scholar]
  • 146.Matei N., Camara R., Zhang J.H. Emerging mechanisms and novel applications of hydrogen gas therapy. Med. Gas. Res. 2018;8(3):98. doi: 10.4103/2045-9912.239959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Song C., et al. Photodynamic therapy induces autophagy-mediated cell death in human colorectal cancer cells via activation of the ROS/JNK signaling pathway. Cell Death Dis. 2020;11(10):938. doi: 10.1038/s41419-020-03136-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Valli F., et al. Crosstalk between oxidative stress-induced apoptotic and autophagic signaling pathways in Zn (II) phthalocyanine photodynamic therapy of melanoma. Free Radic. Biol. Med. 2020;152:743–754. doi: 10.1016/j.freeradbiomed.2020.01.018. [DOI] [PubMed] [Google Scholar]
  • 149.Premji T.P., et al. Functionalized nanomaterials for inhibiting ATP-dependent heat shock proteins in cancer photothermal/photodynamic therapy and combination therapy. Nanomaterials. 2024;14(1):112. doi: 10.3390/nano14010112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Chang C., et al. Previously unrecognized and potentially consequential challenges facing Hsp90 inhibitors in cancer clinical trials. Cell Stress Chaperones. 2024;29:642–653. doi: 10.1016/j.cstres.2024.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Viana Cabral F., et al. Shedding light on chemoresistance: the perspective of photodynamic therapy in cancer management. Int. J. Mol. Sci. 2024;25(7):3811. doi: 10.3390/ijms25073811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Perini G., et al. Impact of different 2D materials on the efficacy of photothermal and photodynamic therapy in 3D-bioprinted breast cancer. Nanoscale. 2025;17:3221–3235. doi: 10.1039/d4nr05026f. [DOI] [PubMed] [Google Scholar]
  • 153.Kessel D. Photodynamic Therapy: Methods and Protocols. Springer; 2022. Detection of paraptosis after photodynamic therapy; pp. 711–720. [DOI] [PubMed] [Google Scholar]
  • 154.Desai V.M., et al. Photodynamic therapy induced mitochondrial targeting strategies for cancer treatment: emerging trends and insights. Mol. Pharm. 2024;21(4):1591–1608. doi: 10.1021/acs.molpharmaceut.3c01185. [DOI] [PubMed] [Google Scholar]
  • 155.Cui H., et al. Targeting DGAT1 inhibits prostate cancer cells growth by inducing autophagy flux blockage via oxidative stress. Oncogene. 2024;43(2):136–150. doi: 10.1038/s41388-023-02878-1. [DOI] [PubMed] [Google Scholar]
  • 156.Liu X., et al. Inhibition of PDT-induced PGE2 surge for enhanced photo-immunotherapy. Biomaterials. 2025;317 doi: 10.1016/j.biomaterials.2025.123116. [DOI] [PubMed] [Google Scholar]
  • 157.Ouyang G., et al. Inhibition of autophagy potentiates the apoptosis-inducing effects of photodynamic therapy on human colon cancer cells. Photodiagn. Photodyn. Ther. 2018;21:396–403. doi: 10.1016/j.pdpdt.2018.01.010. [DOI] [PubMed] [Google Scholar]
  • 158.Chen S.-Y., et al. Self-delivery biomedicine for enhanced photodynamic therapy by feedback promotion of tumor autophagy. Acta Biomater. 2023;158:599–610. doi: 10.1016/j.actbio.2022.12.059. [DOI] [PubMed] [Google Scholar]
  • 159.Hu J., et al. Hypericin-mediated photodynamic therapy inhibits growth of colorectal cancer cells via inducing S phase cell cycle arrest and apoptosis. Eur. J. Pharmacol. 2021;900 doi: 10.1016/j.ejphar.2021.174071. [DOI] [PubMed] [Google Scholar]
  • 160.Yang K., et al. Enhanced cytotoxicity and apoptosis through inhibiting autophagy in metastatic potential colon cancer SW620 cells treated with Chlorin e6 photodynamic therapy. Photodiagn. Photodyn. Ther. 2018;24:332–341. doi: 10.1016/j.pdpdt.2018.10.012. [DOI] [PubMed] [Google Scholar]
  • 161.Sahoo D., et al. Advancements in platinum-based anticancer drug development: a comprehensive review of strategies, discoveries, and future perspectives. Bioorg. Med. Chem. 2024;112 doi: 10.1016/j.bmc.2024.117894. [DOI] [PubMed] [Google Scholar]
  • 162.Jeon S.H., et al. Modulation of CD8+ T cell responses by radiotherapy—Current evidence and rationale for combination with immune checkpoint inhibitors. Int. J. Mol. Sci. 2023;24(23) doi: 10.3390/ijms242316691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Li P., et al. MicroRNA-155 promotes heat stress-induced inflammation via targeting liver X receptor α in microglia. Front. Cell Neurosci. 2019;13:12. doi: 10.3389/fncel.2019.00012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Nam J., et al. Chemo-photothermal therapy combination elicits anti-tumor immunity against advanced metastatic cancer. Nat. Commun. 2018;9(1):1074. doi: 10.1038/s41467-018-03473-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Zheng W., et al. Nanomaterial-modulated autophagy: underlying mechanisms and functional consequences. Nanomedicine. 2016;11(11):1417–1430. doi: 10.2217/nnm-2016-0040. [DOI] [PubMed] [Google Scholar]
  • 166.Ren X., et al. Blocking autophagic flux enhances iron oxide nanoparticle photothermal therapeutic efficiency in cancer treatment. ACS Appl. Mater. Interfaces. 2018;10(33):27701–27711. doi: 10.1021/acsami.8b10167. [DOI] [PubMed] [Google Scholar]
  • 167.Yang S., Xiao H., Cao L. Recent advances in heat shock proteins in cancer diagnosis, prognosis, metabolism and treatment. Biomed. Pharmacother. 2021;142 doi: 10.1016/j.biopha.2021.112074. [DOI] [PubMed] [Google Scholar]
  • 168.Ma F.H., et al. Mimicking molecular chaperones to regulate protein folding. Adv. Mater. 2020;32(3) doi: 10.1002/adma.201805945. [DOI] [PubMed] [Google Scholar]
  • 169.McCormick J.J., et al. Autophagy and heat: apotential role for heat therapy to improve autophagic function in health and disease. J. Appl. Physiol. 2021;130(1):1–9. doi: 10.1152/japplphysiol.00542.2020. [DOI] [PubMed] [Google Scholar]
  • 170.Pan B., et al. Non-canonical programmed cell death in colon cancer. Cancers. 2022;14(14):3309. doi: 10.3390/cancers14143309. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Xie W.-Y., et al. Inhibition of autophagy enhances heat-induced apoptosis in human non-small cell lung cancer cells through ER stress pathways. Arch. Biochem. Biophys. 2016;607:55–66. doi: 10.1016/j.abb.2016.08.016. [DOI] [PubMed] [Google Scholar]
  • 172.Ali A.A., et al. Gold-nanoparticle hybrid nanostructures for multimodal cancer therapy. Nanomaterials. 2022;12(20):3706. doi: 10.3390/nano12203706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Chatterjee A., Sepuri N.B.V. Methionine sulfoxide reductase 2 regulates cvt autophagic pathway by altering the stability of Atg19 and Ape1 in Saccharomyces cerevisiae. J. Biol. Chem. 2024;300(3):105662. doi: 10.1016/j.jbc.2024.105662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Xie W., et al. Nrf2/ARE pathway activation is involved in negatively regulating heat-induced apoptosis in non-small cell lung cancer cells. Acta Biochim. Biophys. Sin. 2020;52(4):439–445. doi: 10.1093/abbs/gmaa013. (Shanghai) [DOI] [PubMed] [Google Scholar]
  • 175.Ba M.C., et al. Hyperthermia enhances radiosensitivity of colorectal cancer cells through ROS inducing autophagic cell death. J. Cell. Biochem. 2018;119(4):3763–3774. doi: 10.1002/jcb.26615. [DOI] [PubMed] [Google Scholar]
  • 176.Shirvalilou S., et al. Targeted magnetochemotherapy modified by 5-fu-loaded thermally on/off switching nanoheaters for the eradication of CT26 murine colon cancer by inducing apoptotic and autophagic cell death. Cancer Nanotechnol. 2023;14(1):11. [Google Scholar]
  • 177.Ghobashy M.M., et al. Gold nanoparticles in microelectronics advancements and biomedical applications. Mater. Sci. Eng. B. 2024;301 [Google Scholar]
  • 178.Badir A., Refki S, Sekkat Z. Utilizing gold nanoparticles in plasmonic photothermal therapy for cancer treatment. Heliyon. 2025;11(4) doi: 10.1016/j.heliyon.2025.e42738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Gao G., Sun X., Liang G. Nanoagent-promoted mild-temperature photothermal therapy for cancer treatment. Adv. Funct. Mater. 2021;31(25) [Google Scholar]
  • 180.Zhang M., et al. Near-infrared photothermal therapy using EGFR-targeted gold nanoparticles increases autophagic cell death in breast cancer. J. Photochem. Photobiol. B Biol. 2017;170:58–64. doi: 10.1016/j.jphotobiol.2017.03.025. [DOI] [PubMed] [Google Scholar]
  • 181.Zhang Y., et al. Temperature-dependent cell death patterns induced by functionalized gold nanoparticle photothermal therapy in melanoma cells. Sci. Rep. 2018;8(1):8720. doi: 10.1038/s41598-018-26978-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Pattani V.P., et al. Role of apoptosis and necrosis in cell death induced by nanoparticle-mediated photothermal therapy. J. Nanoparticle Res. 2015;17(1):20. [Google Scholar]
  • 183.Ali M.R., et al. Simultaneous time-dependent surface-enhanced raman spectroscopy, metabolomics, and proteomics reveal cancer cell death mechanisms associated with gold nanorod photothermal therapy. J. Am. Chem. Soc. 2016;138(47):15434–15442. doi: 10.1021/jacs.6b08787. [DOI] [PubMed] [Google Scholar]
  • 184.Bernshtein K.S., Barkan D. Cancer Cell Dormancy: Methods and Protocols. Springer; 2024. In vitro and in vivo systems to study tumor dormancy and the transition to overt metastases induced by the fibrotic milieu; pp. 27–35. [DOI] [PubMed] [Google Scholar]
  • 185.Tamamouna V., et al. Regulation of metastatic tumor dormancy and emerging opportunities for therapeutic intervention. Int. J. Mol. Sci. 2022;23(22) doi: 10.3390/ijms232213931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Lu Z., et al. The tumor suppressor gene ARHI regulates autophagy and tumor dormancy in human ovarian cancer cells. J. Clin. Invest. 2008;118(12):3917–3929. doi: 10.1172/JCI35512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Nishimoto A. Effective combinations of anti-cancer and targeted drugs for pancreatic cancer treatment. World J. Gastroenterol. 2022;28(28):3637. doi: 10.3748/wjg.v28.i28.3637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Jiang N., et al. Regulation mechanisms and maintenance strategies of stemness in mesenchymal stem cells. Stem Cell Rev. Rep. 2024;20(2):455–483. doi: 10.1007/s12015-023-10658-3. [DOI] [PubMed] [Google Scholar]
  • 189.Soboska K., et al. Expression of RASSF1A, DIRAS3, and AKAP9 genes in thyroid lesions: implications for differential diagnosis and prognosis of thyroid carcinomas. Int. J. Mol. Sci. 2024;25(1):562. doi: 10.3390/ijms25010562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Wang Y., et al. Overexpression of ARHI increases the sensitivity of cervical cancer cells to paclitaxel through inducing apoptosis and autophagy. Drug Dev. Res. 2022;83(1):142–149. doi: 10.1002/ddr.21852. [DOI] [PubMed] [Google Scholar]
  • 191.Tornero-Écija A., et al. A dictyostelium model for BPAN disease reveals a functional relationship between the WDR45/WIPI4 homolog Wdr45l and Vmp1 in the regulation of autophagy-associated PtdIns3P and ER stress. Autophagy. 2022;18(3):661–677. doi: 10.1080/15548627.2021.1953262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Xi H., et al. The role of interaction between autophagy and apoptosis in tumorigenesis. Oncol. Rep. 2022;48(6):1–16. doi: 10.3892/or.2022.8423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Mardanshahi A., et al. The PI3K/AKT/mTOR signaling pathway inhibitors enhance radiosensitivity in cancer cell lines. Mol. Biol. Rep. 2021;48:1–14. doi: 10.1007/s11033-021-06607-3. [DOI] [PubMed] [Google Scholar]
  • 194.Saliba J., et al. Handbook of Cancer and Immunology. Springer; 2023. Cancer metastasis: dynamic hetero-cellular communications between cancer cells and host tissues; pp. 1–31. [Google Scholar]
  • 195.Zhang J.-Y., et al. Cancer-associated fibroblasts promote oral squamous cell carcinoma progression through LOX-mediated matrix stiffness. J. Transl. Med. 2021;19:1–16. doi: 10.1186/s12967-021-03181-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Dalla E., et al. Dormancy in breast cancer. Cold. Spring. Harb. Perspect. Med. 2023;13(11) doi: 10.1101/cshperspect.a041331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Jahangiri L., Ishola T. Dormancy in breast cancer, the role of autophagy, lncRNAs, miRNAs and exosomes. Int. J. Mol. Sci. 2022;23(9):5271. doi: 10.3390/ijms23095271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Rebecca V., Amaravadi R. Emerging strategies to effectively target autophagy in cancer. Oncogene. 2016;35(1):1–11. doi: 10.1038/onc.2015.99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Park S.-Y., Nam J.-S. The force awakens: metastatic dormant cancer cells. Exp. Mol. Med. 2020;52(4):569–581. doi: 10.1038/s12276-020-0423-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Neophytou C.M., Kyriakou T.-C., Papageorgis P. Mechanisms of metastatic tumor dormancy and implications for cancer therapy. Int. J. Mol. Sci. 2019;20(24):6158. doi: 10.3390/ijms20246158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Wani A.K., et al. Microbial adaptation to different environmental conditions: molecular perspective of evolved genetic and cellular systems. Arch. Microbiol. 2022;204(2):144. doi: 10.1007/s00203-022-02757-5. [DOI] [PubMed] [Google Scholar]
  • 202.Patel N.H., et al. The roles of autophagy and senescence in the tumor cell response to radiation. Radiat. Res. 2020;194(2):103–115. doi: 10.1667/RADE-20-00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Lernoux M., et al. Novel HDAC inhibitor MAKV-8 and imatinib synergistically kill chronic myeloid leukemia cells via inhibition of BCR-ABL/MYC-signaling: effect on imatinib resistance and stem cells. Clin. Epigenet. 2020;12:1–26. doi: 10.1186/s13148-020-00839-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Fan Y., et al. Breaking bad: autophagy tweaks the interplay between glioma and the tumor immune microenvironment. Front. Immunol. 2021;12 doi: 10.3389/fimmu.2021.746621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Zhang J., Zhang J., Yang C. Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities. J. Transl. Med. 2025;23(1):52. doi: 10.1186/s12967-024-06063-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Hartkopf A.D., et al. Disseminated tumour cells from the bone marrow of early breast cancer patients: results from an international pooled analysis. Eur. J. Cancer. 2021;154:128–137. doi: 10.1016/j.ejca.2021.06.028. [DOI] [PubMed] [Google Scholar]
  • 207.Tufail M., et al. Hallmarks of cancer resistance. iScience. 2024 doi: 10.1016/j.isci.2024.109979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Mahmoud A., Ganesh K. Mouse models of metastasis and dormancy. Cold. Spring. Harb. Perspect. Med. 2024;14(8):1–25. doi: 10.1101/cshperspect.a041386. a041386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Zhang Q., et al. The protective role of baicalin regulation of autophagy in cancers. Cytotechnology. 2025;77(1):33. doi: 10.1007/s10616-024-00689-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Boydell E., Borgeaud M., Tsantoulis P. Dormant tumor cells: current opportunities and challenges in clinical practice. Onco. 2025;5(1):3. (Basel) [Google Scholar]
  • 211.Lian M., Mortoglou M., Uysal-Onganer P. Impact of hypoxia-induced miR-210 on pancreatic cancer. Curr. Issues Mol. Biol. 2023;45(12):9778–9792. doi: 10.3390/cimb45120611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Ayub A., et al. Dissecting the multifaceted roles of autophagy in cancer initiation, growth, and metastasis: from molecular mechanisms to therapeutic applications. Med. Oncol. 2024;41(7):183. doi: 10.1007/s12032-024-02417-2. [DOI] [PubMed] [Google Scholar]
  • 213.Xu Y., et al. SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition. Heliyon. 2024;10(3) doi: 10.1016/j.heliyon.2024.e24409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Masuda M., Wakasaki T., Toh S. Stress-triggered atavistic reprogramming (STAR) addiction: driving force behind head and neck cancer? Am. J. Cancer Res. 2016;6(6):1149–1166. [PMC free article] [PubMed] [Google Scholar]
  • 215.Cackowski F.C., Heath E.I. Prostate cancer dormancy and recurrence. Cancer Lett. 2022;524:103–108. doi: 10.1016/j.canlet.2021.09.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Risson E. Université de Lyon; 2022. Control of Disseminated Breast Cancer Cell Dormancy in the Bone Marrow By TGFβ2 and BMP4 Signaling. [Google Scholar]
  • 217.Song M., et al. IRE1α–XBP1 controls T cell function in ovarian cancer by regulating mitochondrial activity. Nature. 2018;562(7727):423–428. doi: 10.1038/s41586-018-0597-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Goldkorn A., et al. Circulating tumor cell count and overall survival in patients with metastatic hormone-sensitive prostate cancer. JAMa Netw. Open. 2024;7(10) doi: 10.1001/jamanetworkopen.2024.37871. -e2437871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Yap K.N., et al. Evaluating endoplasmic reticulum stress and unfolded protein response through the lens of ecology and evolution. Biol. Rev. 2021;96(2):541–556. doi: 10.1111/brv.12667. [DOI] [PubMed] [Google Scholar]
  • 220.Moore P.C., et al. Parallel signaling through IRE1α and PERK regulates pancreatic neuroendocrine tumor growth and survival. Cancer Res. 2019;79(24):6190–6203. doi: 10.1158/0008-5472.CAN-19-1116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Cho J., et al. The ATF6-EGF pathway mediates the awakening of slow-cycling chemoresistant cells and tumor recurrence by stimulating tumor angiogenesis. Cancers. 2020;12(7):1772. doi: 10.3390/cancers12071772. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Kumar V., Maity S. ER stress-sensor proteins and ER-mitochondrial crosstalk—Signaling beyond (ER) stress response. Biomolecules. 2021;11(2):173. doi: 10.3390/biom11020173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Peitzsch C., et al. Cancer stem cells in head and neck squamous cell carcinoma: identification, characterization and clinical implications. Cancers. 2019;11(5):616. doi: 10.3390/cancers11050616. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Goyal H., et al. Folic acid depletion along with inhibition of the PERK arm of endoplasmic reticulum stress pathway promotes a less aggressive phenotype of hepatocellular carcinoma cells. Mol. Cell. Biochem. 2023;478(9):2057–2068. doi: 10.1007/s11010-022-04651-6. [DOI] [PubMed] [Google Scholar]
  • 225.Mo H., et al. ATF4 regulated by MYC has an important function in anoikis resistance in human osteosarcoma cells. Mol. Med. Rep. 2018;17(3):3658–3666. doi: 10.3892/mmr.2017.8296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Chen H., et al. Hypoxia-activated XBP1s recruits HDAC2-EZH2 to engage epigenetic suppression of ΔNp63α expression and promote breast cancer metastasis independent of HIF1α. Cell Death Differ. 2024;31(4):447–459. doi: 10.1038/s41418-024-01271-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Walczak A., et al. The role of the ER-induced UPR pathway and the efficacy of its inhibitors and inducers in the inhibition of tumor progression. Oxid. Med. Cell Longev. 2019;2019(1) doi: 10.1155/2019/5729710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Yu Q., et al. Autophagy in cancer immunotherapy: perspective on immune evasion and cell death interactions. Cancer Lett. 2024;590 doi: 10.1016/j.canlet.2024.216856. [DOI] [PubMed] [Google Scholar]
  • 229.Asiri A.M., et al. Tumor invasion and metastasis: acurrent and emerging therapeutic approaches. Int. J. Pharm. Investig. 2024;14(4) [Google Scholar]
  • 230.Kabak E.C., et al. Microenvironmental regulation of dormancy in breast cancer metastasis:“an ally that changes allegiances”. Guide Breast Cancer Res. 2025:373–395. doi: 10.1007/978-3-031-70875-6_18. : From Cellular Heterogeneity and Molecular Mechanisms to Therapy. [DOI] [PubMed] [Google Scholar]
  • 231.Amissah H.A., Combs S.E., Shevtsov M. Tumor dormancy and reactivation: the role of heat shock proteins. Cells. 2024;13(13):1087. doi: 10.3390/cells13131087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Zingoni A., et al. The senescence journey in cancer immunoediting. Mol. Cancer. 2024;23(1):68. doi: 10.1186/s12943-024-01973-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Wieder R. Awakening of dormant breast cancer cells in the bone marrow. Cancers. 2023;15(11):3021. doi: 10.3390/cancers15113021. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Doustmihan A., et al. Molecular targets, therapeutic agents and multitasking nanoparticles to deal with cancer stem cells: anarrative review. J. Control. Release. 2023;363:57–83. doi: 10.1016/j.jconrel.2023.09.029. [DOI] [PubMed] [Google Scholar]
  • 235.Zhao L., et al. The relationship between mesenchymal stem cells and tumor dormancy. Front. Cell Dev. Biol. 2021;9 doi: 10.3389/fcell.2021.731393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Bartoszewska S., Collawn J.F., Bartoszewski R. The role of the hypoxia-related unfolded protein response (UPR) in the tumor microenvironment. Cancers. 2022;14(19):4870. doi: 10.3390/cancers14194870. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Schito L. Hypoxia-dependent angiogenesis and lymphangiogenesis in cancer. Hypoxia Cancer Metastasis. 2019:71–85. doi: 10.1007/978-3-030-12734-3_5. [DOI] [PubMed] [Google Scholar]
  • 238.Zhang Y.-H., et al. N-acetylcysteine improves autism-like behavior by recovering autophagic deficiency and decreasing Notch-1/Hes-1 pathway activity. Exp. Biol. Med. 2023;248(11):966–978. doi: 10.1177/15353702231179924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Shi Q., et al. Notch signaling pathway in cancer: from mechanistic insights to targeted therapies. Signal. Transduct. Target. Ther. 2024;9(1):128. doi: 10.1038/s41392-024-01828-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240.Engel J., et al. Prognostic and predictive impact of NOTCH1 in early breast cancer. Breast Cancer Res. Treat. 2024:1–12. doi: 10.1007/s10549-024-07444-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241.Abravanel D.L., et al. Notch promotes recurrence of dormant tumor cells following HER2/neu-targeted therapy. J. Clin. Invest. 2015;125(6):2484–2496. doi: 10.1172/JCI74883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Guo W., et al. Reactive oxygen species: acrosslink between plant and human eukaryotic cell systems. Int. J. Mol. Sci. 2023;24(17) doi: 10.3390/ijms241713052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Sarmiento-Salinas F.L., et al. Reactive oxygen species: role in carcinogenesis, cancer cell signaling and tumor progression. Life Sci. 2021;284 doi: 10.1016/j.lfs.2021.119942. [DOI] [PubMed] [Google Scholar]
  • 244.Grasset E.M., Barillé-Nion S., Juin P.P. Stress in the metastatic journey–the role of cell communication and clustering in breast cancer progression and treatment resistance. Dis. Model. Mech. 2024;17(3) doi: 10.1242/dmm.050542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Ouyang J., et al. Minimally invasive nanomedicine: nanotechnology in photo-/ultrasound-/radiation-/magnetism-mediated therapy and imaging. Chem. Soc. Rev. 2022;51(12):4996–5041. doi: 10.1039/d1cs01148k. [DOI] [PubMed] [Google Scholar]
  • 246.Wang J., et al. MicroRNA-193 pro-proliferation effects for bone mesenchymal stem cells after low-level laser irradiation treatment through inhibitor of growth family, member 5. Stem Cells Dev. 2012;21(13):2508–2519. doi: 10.1089/scd.2011.0695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Kushibiki T., et al. Regulation of miRNA expression by low-level laser therapy (LLLT) and photodynamic therapy (PDT) Int. J. Mol. Sci. 2013;14(7):13542–13558. doi: 10.3390/ijms140713542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Kashyap D., et al. Oncogenic and tumor-suppressive roles of MicroRNAs with special reference to apoptosis: molecular mechanisms and therapeutic potential. Mol. Diagn. Ther. 2018;22:179–201. doi: 10.1007/s40291-018-0316-1. [DOI] [PubMed] [Google Scholar]
  • 249.Inada E., et al. RNA analysis based on a small number of manually isolated fixed cells (RNA-snMIFxC) to profile stem cells from human deciduous tooth-derived dental pulp cells. Biol. Proced. Online. 2021;23:1–11. doi: 10.1186/s12575-021-00149-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Abou Zeid L. University of Guelph; 2021. Investigating the Effect of Hyperthermia and Hsp70 Overexpression on MicroRNA Biogenesis. [Google Scholar]
  • 251.Erbes T., et al. Hyperthermia-driven aberrations of secreted microRNAs in breast cancer in vitro. Int. J. Hyperth. 2016;32(6):630–642. doi: 10.3109/02656736.2016.1161832. [DOI] [PubMed] [Google Scholar]
  • 252.Chi L.H., et al. MicroRNA-21 is immunosuppressive and pro-metastatic via separate mechanisms. Oncogenesis. 2022;11(1):38. doi: 10.1038/s41389-022-00413-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Ortiz-Quintero B. Cell-free microRNAs in blood and other body fluids, as cancer biomarkers. Cell Prolif. 2016;49(3):281–303. doi: 10.1111/cpr.12262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Gezginci-Oktayoglu S., et al. Glucotoxicity suppresses function of pancreatic beta and duct cells via miR-335-targeted Runx2 and insulin-mediated mechanism. Protoplasma. 2024:1–12. doi: 10.1007/s00709-024-01997-0. [DOI] [PubMed] [Google Scholar]
  • 255.Kushibiki T. In: Cell Processing Technology. Current Human Cell Research and Applications. Morimoto Y., Nakahara T., editors. Springer; Singapore: 2024. Control of cell function by photobiomodulation. [DOI] [Google Scholar]
  • 256.Alves J.C. Laser therapy in veterinary regenerative medicine. Laser Ther. Vet. Med. Photobiomodul. 2025:458–469. [Google Scholar]
  • 257.Yousefi M., et al. Effect of photodynamic therapy on expression of HRAS, NRAS and caspase 3 genes at mRNA levels, apoptosis of head and neck squamous cell carcinoma cell line. Photodiagn. Photodyn. Ther. 2021;33 doi: 10.1016/j.pdpdt.2020.102142. [DOI] [PubMed] [Google Scholar]
  • 258.Xu Y., et al. The role of NF-κB/MIR155HG in regulating the stemness and radioresistance in breast cancer stem cells. Front. Biosci.-Landmark. 2025;30(1) doi: 10.31083/FBL25810. [DOI] [PubMed] [Google Scholar]
  • 259.Li A.-Y., et al. Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation. J. Cancer Res. Clin. Oncol. 2023;149(11):9105–9128. doi: 10.1007/s00432-023-04849-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Hammarlund E.U., Von Stedingk K., Påhlman S. Refined control of cell stemness allowed animal evolution in the oxic realm. Nat. Ecol. Evol. 2018;2(2):220–228. doi: 10.1038/s41559-017-0410-5. [DOI] [PubMed] [Google Scholar]
  • 261.Bach D., et al. Comprehensive analysis of alterations in the miRNome in response to photodynamic treatment. J. Photochem. Photobiol. B Biol. 2013;120:74–81. doi: 10.1016/j.jphotobiol.2013.01.012. [DOI] [PubMed] [Google Scholar]
  • 262.Borgia F., et al. Involvement of micrornas as a response to phototherapy and photodynamic therapy: aliterature review. Antioxidants. 2021;10(8):1310. doi: 10.3390/antiox10081310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Al-hassan A., Rezvani Z. miRNAs: potential as biomarkers and therapeutic targets for cancer. J. Biomed. Biochem. 2024;3(3):1–8. [Google Scholar]
  • 264.Panni S., Pizzolotto R. Integrated analysis of microRNA targets reveals new insights into transcriptional–Post-transcriptional regulatory cross-talk. Biology. 2025;14(1):43. doi: 10.3390/biology14010043. (Basel) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 265.Gawade K., Raczynska K.D. Imprinted small nucleolar RNAs: missing link in development and disease? Wiley Interdiscip. Rev. RNA. 2024;15(1) doi: 10.1002/wrna.1818. [DOI] [PubMed] [Google Scholar]
  • 266.Guo H., et al. MicroRNA-200c in cancer generation, invasion, and metastasis. Int. J. Mol. Sci. 2025;26(2):710. doi: 10.3390/ijms26020710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267.Zai H., et al. Lnc NBAT1 inhibits the proliferation and migration of liver cancer cells through the miR-21/PDCD4/AP-1 signaling axis. Appl. Biochem. Biotechnol. 2024:1–18. doi: 10.1007/s12010-024-05008-z. [DOI] [PubMed] [Google Scholar]
  • 268.Wong G.L. Villanova University; 2019. Investigating A Genome-Wide Role For Endogenous siRNAs in mRNA Quality Control in Caenorhabditis elegans. [Google Scholar]
  • 269.Nobrega M., et al. Comparative analysis of extracellular vesicles miRNAs (EV-miRNAs) and cell-free microRNAs (cf-miRNAs) reveals that EV-miRNAs are more promising as diagnostic and prognostic biomarkers for prostate cancer. Gene. 2025;939 doi: 10.1016/j.gene.2024.149186. [DOI] [PubMed] [Google Scholar]
  • 270.Lee S., et al. Angiogenesis-on-a-chip coupled with single-cell RNA sequencing reveals spatially differential activations of autophagy along angiogenic sprouts. Nat. Commun. 2024;15(1):230. doi: 10.1038/s41467-023-44427-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Aebisher D., et al. Molecular determinants for photodynamic therapy resistance and improved photosensitizer delivery in glioma. Int. J. Mol. Sci. 2024;25(16):8708. doi: 10.3390/ijms25168708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Shen R., et al. Polymer-modified lipid nanoparticles with microenvironment-responsive graded release for amplified photodynamic therapy through tumor vascular normalization. ACS Appl. Nano Mater. 2023;6(14):13352–13362. [Google Scholar]
  • 273.Katanasaka Y., et al. Cancer antineovascular therapy with liposome drug delivery systems targeted to BiP/GRP78. Int. J. Cancer. 2010;127(11):2685–2698. doi: 10.1002/ijc.25276. [DOI] [PubMed] [Google Scholar]
  • 274.Zhang J., Ali K., Wang J. Research advances of lipid nanoparticles in the treatment of colorectal cancer. Int. J. Nanomed. 2024:6693–6715. doi: 10.2147/IJN.S466490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 275.Willot Q., et al. Exploring the connection between autophagy and heat-stress tolerance in Drosophila melanogaster. Proc. R. Soc. B. 2023;290(2006) doi: 10.1098/rspb.2023.1305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 276.Albornoz A., et al. Autophagy in Health and Disease. Elsevier; 2022. Chaperone-mediated autophagy—Mechanisms and disease role; pp. 399–412. [Google Scholar]
  • 277.Cristofani R., et al. The role of HSPB8, a component of the chaperone-assisted selective autophagy machinery. Cancer Cells. 2021;10(2):335. doi: 10.3390/cells10020335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Aolymat I., Hatmal M.m.M., Olaimat A.N. The emerging role of heat shock factor 1 (HSF1) and heat shock proteins (HSPs) in ferroptosis. Pathophysiology. 2023;30(1):63–82. doi: 10.3390/pathophysiology30010007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Kim J.Y., et al. Heat shock protein 70 (HSP70) induction: chaperonotherapy for neuroprotection after brain injury. Cells. 2020;9(9):2020. doi: 10.3390/cells9092020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Wang Y.-l., et al. Role of the mTOR-autophagy-ER stress pathway in high fructose-induced metabolic-associated fatty liver disease. Acta Pharmacol. Sin. 2022;43(1):10–14. doi: 10.1038/s41401-021-00629-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Lu D., et al. FOXO3a-dependent up-regulation of HSP90 alleviates cisplatin-induced apoptosis by activating FUNDC1-mediated mitophagy in hypoxic osteosarcoma cells. Cell. Signal. 2023;101 doi: 10.1016/j.cellsig.2022.110500. [DOI] [PubMed] [Google Scholar]
  • 282.Ghai S., Shrestha R., Su K.-H. HSF1 at the crossroads of chemoresistance: from current insights to future horizons in cell death mechanisms. Front. Cell Dev. Biol. 2025;12 doi: 10.3389/fcell.2024.1500880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Rodríguez M.E., et al. Heat shock protein 27 modulates autophagy and promotes cell survival after photodynamic therapy. Photochem. Photobiol. Sci. 2019;18:546–554. doi: 10.1039/c8pp00536b. [DOI] [PubMed] [Google Scholar]
  • 284.Sun B., et al. HSP60 in cancer: apromising biomarker for diagnosis and a potentially useful target for treatment. J. Drug Target. 2022;30(1):31–45. doi: 10.1080/1061186X.2021.1920025. [DOI] [PubMed] [Google Scholar]
  • 285.Min S., et al. Heat shock protein 60 couples an oxidative stress-responsive p38/MK2 signaling and NF-κb survival machinery in cancer cells. Redox. Biol. 2022;51 doi: 10.1016/j.redox.2022.102293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286.Zhang H., et al. The alleviative effect of thyroid hormone on cold stress-induced apotosis via HSP70 and mitochondrial apoptosis signal pathway in bovine Sertoli cells. Cryobiology. 2022;105:63–70. doi: 10.1016/j.cryobiol.2021.11.181. [DOI] [PubMed] [Google Scholar]
  • 287.Zhao X.-Y., et al. Regulation and function of endoplasmic reticulum autophagy in neurodegenerative diseases. Neural Regen. Res. 2025;20(1):6–20. doi: 10.4103/NRR.NRR-D-23-00995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Lee J.-H., et al. Cell-penetrating peptide like anti-programmed Cell death-ligand 1 peptide conjugate-based self-assembled nanoparticles for immunogenic photodynamic therapy. ACS Nano. 2025 doi: 10.1021/acsnano.4c16128. [DOI] [PubMed] [Google Scholar]
  • 289.Meier P., et al. Immunogenic cell death in cancer: targeting necroptosis to induce antitumour immunity. Nat. Rev. Cancer. 2024;24(5):299–315. doi: 10.1038/s41568-024-00674-x. [DOI] [PubMed] [Google Scholar]
  • 290.Malladi S., et al. Metastatic latency and immune evasion through autocrine inhibition of WNT. Cell. 2016;165(1):45–60. doi: 10.1016/j.cell.2016.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291.Duan Z., et al. Mitochondria-targeting type-I photodynamic therapy based on phenothiazine for realizing enhanced immunogenic cancer cell death via mitochondrial oxidative stress. Int. J. Nanomed. 2025:125–139. doi: 10.2147/IJN.S494970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292.Kolarikova M., et al. Photodynamic therapy: innovative approaches for antibacterial and anticancer treatments. Med. Res. Rev. 2023;43(4):717–774. doi: 10.1002/med.21935. [DOI] [PubMed] [Google Scholar]
  • 293.Miller V., Bekeschus S. Redox Biology in Plasma Medicine. CRC Press; 2025. Plasma-induced immunogenic cancer-cell death; pp. 145–155. [Google Scholar]
  • 294.Yang D., et al. Application of photodynamic therapy in immune-related diseases. Photodiagn. Photodyn. Ther. 2021;34 doi: 10.1016/j.pdpdt.2021.102318. [DOI] [PubMed] [Google Scholar]
  • 295.Wei X., et al. Multidimensional profiling of functionalized photothermal nanoplatforms for synergistic cancer immunotherapy: design, strategy, and challenge. Coord. Chem. Rev. 2024;499 [Google Scholar]
  • 296.Salvagno C., et al. Decoding endoplasmic reticulum stress signals in cancer cells and antitumor immunity. Trends Cancer. 2022;8(11):930–943. doi: 10.1016/j.trecan.2022.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Dong R., et al. Role of oxidative stress in the occurrence, development, and treatment of breast cancer. Antioxidants. 2025;14(1):104. doi: 10.3390/antiox14010104. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Translational Oncology are provided here courtesy of Neoplasia Press

RESOURCES