Abstract
Arsenic, a widespread environmental toxicant and unexpectedly effective chemotherapeutic agent, has complex and significant effects on cellular homeostasis. Autophagy, a conserved lysosomal degradation process, plays a key role in arsenic's dual functions as a carcinogen and a treatment. While current reviews have documented interactions between arsenic and autophagy, this review introduces a new conceptual model: the “Autophagy Switch.” We propose that the cellular choice between autophagy-assisted survival and autophagy-dependent death is not simply black and white but exists within a dynamic balance called the Arsenic Contextual Triad—comprising chemical form, exposure pattern (dose and duration), and the cell’s oncogenic background. We compile evidence showing how this switch influences outcomes across the cancer spectrum, from promoting skin cancer through p62/Nrf2 feedback loops to breaking down oncogenic factors like PML-RARα and BCR-ABL in leukemia. Additionally, we critically assess the therapeutic potential of targeting this switch, emphasizing how drugs that either inhibit or promote autophagy can work together with arsenic trioxide (ATO) to combat drug resistance in solid tumors such as glioblastoma and ovarian cancer. By shifting from simple descriptions to a detailed mechanistic and contextual understanding, this review offers a valuable guide for future research aiming to harness the autophagy switch for cancer prevention and personalized treatment.
Keywords: Autophagy, Autophagy switch, Arsenic exposure, Carcinogenesis, Oxidative stress
Graphical Abstract
The Arsenic Contextual Triad and Autophagy Switch.This figure creates a conceptual, data-inspired plot showing how the three factors of the “Arsenic Contextual Triad” influence the autophagic outcome. The color of the points indicates whether the outcome is primarily pro-survival (green), transitional/mixed (yellow), or pro-death (red). The size of the points represents the third variable in the triad: Cellular Stress/Oncogenic Context. A smoothed trend line shows the theoretical transition. Annotated zones clearly label the conceptual spaces where the “Autophagy Switch” favors survival or death. This figure visually encapsulates the core novel thesis of the manuscript.
Highlights
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Arsenic exposure activates autophagy, influencing cancer initiation and progression.
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Autophagy functions as a dual switch, either promoting tumor survival or inducing cell death.
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Understanding the autophagy switch is critical for arsenic-related cancer risk assessment.
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Modulating autophagy offers promising strategies for targeted cancer therapy.
1. Introduction
Arsenic is a widespread environmental and industrial contaminant, frequently detected in groundwater and food sources worldwide. Human exposure predominantly occurs through ingestion of contaminated drinking water derived from natural geological sources. Populations in countries such as Bangladesh, India, Iran, China, Argentina, and Mexico are particularly affected, consuming water with elevated arsenic concentrations. Chronic exposure has been linked to a range of pathological outcomes, including dermatological abnormalities, cardiovascular disorders, hepatic injury, neurological dysfunction, and cancer [1], [2], [3].
Paradoxically, arsenic trioxide (ATO) has been recognized as a breakthrough treatment for acute promyelocytic leukemia (APL), achieving remarkable remission rates by targeting the PML-RARα oncoprotein. Clinical studies have demonstrated that ATO induces high complete remission rates and durable responses in both relapsed and newly diagnosed patients. Evidence from prospective trials and real-world studies shows that ATO-based regimens significantly improve event-free and overall survival compared with conventional therapies. In addition, meta-analyses and long-term follow-up studies confirm enhanced molecular remission, disease-free survival, and overall treatment outcomes in APL patients receiving ATO [4], [5], [6], [7], [8], [9]. Collectively, these findings support the characterization of ATO as a transformative therapy that has shifted APL from a highly fatal disease to one of the most curable forms of leukemia.
The mechanisms behind this duality are mainly linked to the induction of oxidative stress and apoptosis. Studies have shown that arsenic and its metabolites can induce oxidative DNA damage, alter DNA methylation patterns, promote genomic instability, and affect DNA repair, cell proliferation, and programmed cell death pathways. Lipid peroxidation, driven by reactive oxygen species (ROS), is recognized as a central mechanism in arsenic-mediated cellular injury and genotoxicity across both in vitro and in vivo models [10].
Emerging evidence indicates that arsenic toxicity is not limited to oxidative stress mechanisms. It is increasingly evident that another cellular process—autophagy—also plays a similarly essential and complex role. Autophagy, a complex intracellular recycling system, maintains cellular health by clearing damaged organelles and aggregated proteins. In cancer, its role is highly context-dependent, acting as a tumor suppressor by preventing genomic instability and as a tumor promoter by enhancing metabolic fitness under stress. Unlike apoptosis, autophagy may function protectively or contribute to cytotoxicity, depending on cell type and stress intensity. Numerous studies have explored arsenic-induced modulation of autophagy pathways, highlighting its dual role as both a toxicant and a potential therapeutic agent [11], [12].
Previous reviews on arsenic and autophagy have effectively summarized data from various studies. However, they often lack a unifying explanation for the contradictory outcomes—why autophagy sometimes protects cells from arsenic toxicity and other times causes cell death. We addressed that critical gap: arsenic does not simply induce or inhibit autophagy, but rather toggles a molecular switch that can be manipulated for therapeutic benefit. The present study aims to introduce and define the Arsenic Contextual Triad that controls the autophagy switch, summarize evidence across cancer types to show how this switch functions in both carcinogenesis and treatment, and critically evaluate the potential for targeting this switch, discussing current challenges and future directions for using autophagy modulation in arsenic-related diseases.
2. KEGG-style overview: macroautophagy in cancer under arsenic exposure
Macroautophagy is a highly conserved catabolic mechanism essential for maintaining cellular homeostasis by sequestering damaged organelles and aggregated proteins for lysosomal degradation. Three primary autophagic pathways have been characterized: macroautophagy (the predominant form), microautophagy, and chaperone-mediated autophagy. Macroautophagy is orchestrated by autophagy-related (ATG) proteins, which regulate key steps including membrane nucleation, phagophore expansion, and autophagosome maturation. According to KEGG pathway annotations, the process can be divided into initiation, nucleation, elongation/closure, and lysosomal fusion. Initiation is controlled by the ULK1 kinase complex, followed by vesicle nucleation mediated by the Beclin-1/class III PI3K complex, with microtubule-associated protein light chain 3 (LC3) playing a critical role during membrane elongation and autophagosome formation [13], [14], [15].
In cancer contexts, alterations in these canonical autophagy markers—whether through upregulation or downregulation following arsenic exposure—indicate that autophagy may significantly influence arsenic-associated cellular outcomes, including cell survival, programmed death, or therapeutic response (Fig. 1).
Fig. 1.
KEGG-style overview: Autophagy in cancer under arsenic exposure. Up regulated genes are indicated by green and the down regulated genes are indicated by red.
3. Integrating the role of the arsenic microbiome metabolite, DMA(III)
Most reviews focus on inorganic arsenic (iAs) and ATO. However, the human microbiome metabolizes arsenic into trivalent methylated species, such as dimethylarsinite (DMA(III)), which are highly toxic and genotoxic. Linking this to autophagy is an entirely novel perspective. A critical and largely overlooked aspect of arsenic biology is its biotransformation by the human microbiome. Gut microbiota convert inorganic arsenic into trivalent methylated species, most notably dimethylarsinite (DMA(III)), which displays potent toxicity and genotoxicity [16]. Recent evidence indicates that the microbiome can directly influence host autophagic responses [17]. Arsenic and its methylated metabolites, including DMA(III) and MMA(III), have been shown to induce oxidative stress and modulate key cellular pathways, including autophagy and apoptosis, in various tissues [18], [19]. Studies indicate that both direct arsenite exposure and microbiome-derived arsenic metabolites can disrupt autophagic regulation in adipose and muscle tissues, contributing to metabolic dysfunction and cellular stress [20], [21]. Trivalent methylated metabolites such as DMA(III) and MMA(III) are highly reactive and biologically active, with MMA(III) exhibiting greater toxicity and stronger inhibition of metabolic enzymes, such as pyruvate dehydrogenase, than inorganic arsenite [18], [22]. Emerging evidence points to a dynamic interplay between autophagic flux and the p62–NRF2 signaling axis as a key determinant of cellular responses to arsenic exposure. Disruption of autophagy can lead to p62 accumulation and sustained NRF2 activation, reshaping oxidative-stress signaling and influencing cell fate in a context-dependent manner. In parallel, trivalent arsenic metabolites such as DMA(III) may function as an “autophagy switch” in certain cell types by engaging P62/NRF2 signaling and modulating the mTOR/ULK1 pathway; although this pathway classically regulates autophagy initiation, arsenic-related stress can shift it toward impaired or dysregulated autophagic activity rather than complete inhibition. The P62/NRF2 axis may also contribute to the turnover of selected oncoproteins, yet its persistent activation can, in some tumor contexts, reduce sensitivity to therapy-induced apoptosis and support cellular adaptation and survival. Collectively, these findings suggest that environmental arsenic—potentially shaped by gut microbiota-driven biotransformation into reactive intermediates such as DMA(III)—can perturb autophagy homeostasis and cell-death signaling in a manner that is highly cell-type and exposure dependent, with outcomes ranging from stress adaptation to tumor progression [23], [24]. Evaluations on arsenic carcinogenesis highlight that methylated arsenic species retain high biological activity and may interfere with key signaling pathways, including those regulating oxidative stress and autophagy [23], [25], [19]. Moreover, arsenic exposure has been shown to disrupt autophagy regulation in metabolic tissues, supporting a possible link between arsenic metabolites and autophagy signaling. Uncovering this 'microbiome-arsenic-autophagy' axis could transform our understanding of individual susceptibility to arsenic-related diseases and the variable efficacy of ATO therapy, opening new possibilities for interventions targeting the gut microbiome (Fig. 2).
Fig. 2.
The interaction between arsenic, microbiome and autophagy.This schematic outlines a hypothesized oncogenic pathway. Environmental inorganic arsenic is metabolized by gut bacteria to DMA III, a key signaling molecule. In susceptible cells, DMA III flips an autophagic switch, initiating a P62/Nrf2 response. This response has a dual pro-tumor effect: it engages the mTOR/ULK1 pathway—which in this context suppresses protective autophagy—and enhances the degradation of specific oncoproteins, potentially altering cell survival signals. The integrated outcome is the suppression of therapeutic cell death pathways and the creation of a cellular environment conducive to tumor development and progression.
4. Immunomodulatory role of arsenic-induced autophagy (immunophagy)
The intersection of autophagy, arsenic, and the immune system is a nascent and high-impact field. ATO has been shown to have immunomodulatory effects, and autophagy is crucial for antigen presentation and immune cell function. Beyond its direct cytotoxic effects on cancer cells, arsenic trioxide modulates the tumor immune microenvironment (TIME). ATO can inhibit the differentiation and function of immunosuppressive myeloid-derived suppressor cells (MDSCs) [26]. Intriguingly, autophagy is a key regulator of MDSC survival and differentiation [27]. This presents a novel, unexplored mechanism: does ATO's anti-tumor immunity rely on autophagy-dependent reprogramming of the TIME. We hypothesize that ATO-induced autophagy in tumor cells enhances antigen presentation, while simultaneously triggering autophagic pathways in immune cells to dismantle immunosuppressive networks. Understanding this crosstalk could lead to powerful combinations of ATO with immune checkpoint inhibitors, leveraging immunophagic activation to overcome resistance to immunotherapy.
5. Introduce the concept of autophagic collapse or autosis
The term autophagic cell death is often used loosely. Introducing the specific, morphologically distinct process of autosis — a form of cell death triggered by excessive autophagy — offers a precise, mechanistic term and a new hypothesis for ATO's action in resistant cancers. While the term autophagic cell death is frequently invoked, its mechanistic definition is often unclear. We suggest that, under conditions of high, sustained autophagic flux induced by ATO, cells may undergo a specific form of cell death termed autosis. Autosis is a Na+ /K+ -ATPase-dependent form of cell death characterized by distinctive morphological features (e.g., ballooning of the perinuclear space) and is distinct from apoptosis and necrosis [28]. This idea shifts the therapeutic focus: instead of simply 'inducing autophagy,' the goal in resistant tumors like GBM could be to push the autophagic process beyond a point of salvage into autotic collapse. This model explains why late-stage autophagy inhibition (e.g., with chloroquine) can synergize with ATO—by blocking the completion of a prosurvival process, it traps the cell in an autophagic crisis. Future studies should examine autosis markers in ATO-treated cancer models, potentially identifying Na+ /K+ -ATPase as a new therapeutic target to enhance ATO's effectiveness.
6. Autophagy and disease in arsenic exposure
Alterations in autophagic flux have been observed in a wide range of pathological conditions following arsenic exposure, encompassing both malignant and non-malignant states. The impact of arsenic on autophagy is highly context-dependent, determined by factors such as exposure dose and duration, cell type, and the nature of intracellular stressors. Current evidence indicates that arsenic-induced autophagy can exert either cytoprotective or cytotoxic effects [29]. This review integrates these findings, highlighting the complex interplay between autophagy and cancer mechanisms in scenarios of environmental arsenic exposure or therapeutic administration of arsenic-based compounds (Fig. 3).
Fig. 3.
Autophagy alteration by arsenic exposure in cancerous diseases.
7. The autophagy switch in arsenic-induced carcinogenesis
Chronic, low-dose arsenic exposure can promote carcinogenesis, with autophagy serving as a key mediator in this process. In this context, the switch is often exploited to support cell survival and tumor initiation(Fig. 4).
Fig. 4.
Network Perturbation of Autophagy Pathways by Arsenic.This figure creates a node-and-edge network diagram based on the KEGG pathway, visually highlighting which parts of the autophagy machinery are most significantly targeted by arsenic, based on the literature synthesized in the review. It visually demonstrates that Arsenic Exposure is a central node that influences key regulators such as ROS and mTORC1, which, in turn, affect the core autophagy machinery (ULK1, Beclin-1, LC3). Crucially, it highlights critical, arsenic-specific interactions, including Arsenic - ROS (Induces), Arsenic - mTORC1 (Inhibits), ROS - Bcl-2 (Inhibits, thereby activating Beclin-1), and p62 - Nrf2 (Activates, illustrating the pro-survival feedback loop). The divergent outcomes of Cell Survival and Cell Death are clearly shown, with context-dependent pathways represented by dashed lines.
7.1. Leukemia
The autophagic response to arsenic trioxide (ATO) has been extensively studied in acute promyelocytic leukemia (APL), particularly in NB4 cells, where ATO promotes degradation of the oncogenic PML–RARA fusion protein via autophagy, contributing to therapeutic remission. The effectiveness of ATO in treating APL is closely related to autophagy. The drug promotes the autophagic degradation of the oncogenic PML-RARα fusion protein, a process that depends on p62 and ULK1 [30], [31], [32], [33], [34].
In HL-60 cells, findings are inconsistent: some studies report no autophagic induction under certain arsenical treatments, whereas others describe ATO-triggered cell death with high autophagic flux. In Raji (Burkitt lymphoma) cells, ATO induces dose- and time-dependent growth inhibition, G2/M arrest, apoptosis, and enhanced autophagic vacuolization, accompanied by p62 degradation, Beclin-1 upregulation, and Bcl-2 downregulation [33], [35], [36], [37].
Reactive oxygen species (ROS) act as upstream mediators; ROS scavengers reduce both autophagosome formation and cell death in models such as U937 and BM2 cells, indicating that ROS-dependent induction of apoptosis or autophagy depends on cell type. Mechanistically, arsenite stimulates mitochondrial superoxide production and inhibits aconitase, generating H₂O₂ that triggers autophagy and, under severe stress, mitochondrial permeability transition and apoptosis [38], [39].
In chronic myelogenous leukemia (CML), ATO triggers p62-dependent degradation of another oncoprotein, BCR-ABL. Here, autophagy plays a vital role in executing the therapy’s effects. K562 and K562-derived initiating cells (K562s) exhibit dose-dependent and divergent autophagic responses to ATO, influencing self-renewal, resistance, and senescence. ATO robustly induces autophagy in both drug-sensitive and drug-resistant K562 derivatives, with decreased Bcl-2, Beclin-1 accumulation, and autophagy-associated cell death[40].
Additional mechanisms include ubiquitin-mediated regulation of apoptosis inhibitors: FLIP_L downregulation correlates with ATO-induced autophagy, and Cbl-b E3 ligase mediates FLIP_L degradation via the ubiquitin–proteasome system. p62/SQSTM1 facilitates autophagic degradation of BCR-ABL; inhibition of autophagy, cathepsin B, p62, or Atg7 partially rescues BCR-ABL–expressing progenitors from ATO effects [41]. Realgar (As₄S₄) nanoparticles similarly reduce K562 cell proliferation and degrade BCR-ABL via combined autophagic and apoptotic mechanisms that involve PI3K/AKT/mTOR signaling. In AML models, ATO activates the MEK/ERK cascade to induce autophagy, and genetic or pharmacologic inhibition of autophagy attenuates its anti-leukemic effects. In Molt-4 cells, ATO upregulates Beclin-1, with Bax contributing to autophagy-associated cell death[42] (Table 1).
Table 1.
Summary of included studies in leukemia.
| Contaminant | Study model | Cell line | Tissue | Disease | Marker | Findings | Ref | |
|---|---|---|---|---|---|---|---|---|
| As2O3 | Cell line | NB4 | Peripheral blood | Acute promyelocytic leukemia | - |
|
Ren et al. [34] | |
| As2O3 | Cell line | NB4 EVAsR1 | Peripheral blood | Acute promyelocytic leukemia | LC3, P62 |
|
Ganesan et al. [31] | |
| HS-5 | Bone Marrow/Stroma | |||||||
| Mice | - | Transgenic mice | ||||||
| Bone marrow samples from APL patients | ||||||||
| As2O3 | Cell line | NB4 | Peripheral blood | Acute promyelocytic leukemia | LC3 II/LC3 I |
|
Fan et al. [30] | |
| As2O3 | Bone marrow (BM) mononuclear cells (MNC) | Acute promyelocytic leukemia | - |
|
Zaza et al. [43] | |||
| As2O3 | Cell line | NB4 | Peripheral blood | Acute promyelocytic leukemia | ULK1, p62, LC3 |
|
Isakson et al. [32] | |
| As2O3,PAOIII,AsV,DMAV | Cell line | HL-60 | Peripheral blood | Acute promyelocytic leukemia | MAP-LC3 |
|
Charoensuk et al. [35] | |
| Realgar-Indigo naturalis Formula (RIF) | Cell line | HL60-PMLA216V-RARα cell line | - | Acute promyelocytic leukemia | PI3K, mTOR, P-mTOR, AKT, p-AKT and p62 |
|
Li et al. [44] | |
| As2O3 | Cell line | HL-60 | Peripheral blood | Acute promyelocytic leukemia | LC-II |
|
Zhang et al. [45] | |
| As2O3 | Cell line | HL60 | Peripheral blood | Acute promyelocytic leukemia | LC3 |
|
LIANG, GAO [46] | |
| As2O3 | Cell lines | K562 | Bone Marrow | Chronic myelogenous leukemia | LC3, p62, Beclin1 |
|
Yang et al. [36] | |
| HL-60 | Peripheral blood | Acute promyelocytic leukemia | ||||||
| Childhood AML and ALL bone marrow samples | ||||||||
| Tetraarsenic hexaoxide (As4O6) | Cell line | U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | Beclin-1, LC-3 |
|
Han et al. [47] | |
| Sodium arsenite | Cell line | U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | LC3, p62 |
|
Guidarelli et al. [38] | |
| As2O3 | Cell line | U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | LC3 |
|
Ondrousková et al. [39] | |
| V mybtransformed chicken BM2 monoblasts | ||||||||
| As2O3 | Cell line | U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | BNIP3 LC3 |
|
Cavaliere et al. [48] | |
| Raji cells | Lymphoblast | Burkitt's lymphoma | ||||||
| As2O3 | Cell line | Raji cells | Lymphoblast | Burkitt's lymphoma | LC3-Ⅱ, Beclin-1, P62, Hsc70, LAMP-2A |
|
Li et al. [49] | |
| As2O3 | Cell line | Raji cells | Lymphoblast | Burkitt's lymphoma | P62,Beclin1,LC3 |
|
Li et al. [49] | |
| As2O3 Sodium arsenite (NaAsO2) |
Cell line | P3HR1 | Ascites | Burkitt's lymphoma | Beclin-1, LC3 |
|
Zebboudj et al. [50] | |
| Ramos (RA 1) cells | - | Burkitt's lymphoma | ||||||
| As2O3 | Cell lines | K562 | Bone Marrow | Chronic myelogenous leukemia | LC3 |
|
Wu et al. [51] | |
| KT1 | Peripheral blood | Chronic myelogenous leukemia | ||||||
| U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | ||||||
| As2O3 | Cell lines | U937 | Histiocytic lymphoma | Beclin-1 LC3 |
|
Haghi et al. [52] | ||
| As2O3 | Cell lines | K562 and its drug-resistant line K562/ADM cells | Chronic myelogenous leukemia | Beclin-1 LC3 |
|
Cheng et al. [53] | ||
| As2O3 | Cell lines | U937 | Pleura/Pleural Effusion, Lymphocyte, Myeloid | Histiocytic lymphoma | Beclin 1 Atg7 |
|
Goussetis et al. [54] | |
| KT1 | Peripheral blood | Chronic myelogenous leukemia | ||||||
| MEFs | Embryo Fibroblast | (Immortalized mouse embryonic fibroblasts) | ||||||
| Peripheral blood from patients with AML | ||||||||
| As2O3 | Cell line | K562 cells and their initiating cells (K562s). | Bone Marrow | Chronic myelogenous leukemia | LC3-B p62 |
|
Guo et al. [40] | |
| As2O3 | Cell line | The BCR-ABL expressing K562 human leukemia cell line | Chronic myelogenous leukemia | p62, Atg7, LC3 |
|
Goussetis et al. [42] | ||
| Realgar NPs | Cell line | K562 | Bone Marrow | Chronic myelogenous leukemia | LC3,P62 |
|
Shi et al. [55] | |
| As2O3 | Cell line | K562 | Bone Marrow | Chronic myelogenous leukemia | LC3 P62 |
|
Zhang et al. [41] | |
| Jurkat cells | Peripheral Blood | Acute T cell leukemia | ||||||
| As2O3 | Cell line | Molt-4 cells | - | Acute lymphoblastic leukemia | Beclin-1, |
|
Qian et al. [56] | |
7.2. Brain cancer
Glioblastoma (GBM) remains highly lethal despite multimodal therapy, with only modest improvements in median survival and persistently low 5-year survival rates. Tumor invasiveness and resistance to apoptosis-driven therapies contribute significantly to poor outcomes. The poor outlook of GBM is partly due to its resistance to apoptosis. ATO induces cell death characterized by excessive autophagic flux (potentially progressing to autosis) in GBM cells, a process enhanced by inhibitors of late-stage autophagy, such as chloroquine (CQ). This suggests that trapping cells with an overwhelmed, incomplete autophagy process is deadly. The stage at which autophagy is blocked is crucial—early inhibition offers protection, while late inhibition leads to cell death—highlighting the dynamic nature of the switch. Recent studies demonstrate that arsenic trioxide (ATO) induces autophagy-associated cell death in glioma models, often accompanied by upregulation of BNIP3, a pro-death BH3-only protein implicated in arsenite-mediated cytotoxicity [57], [58], [59].
Loss or mutation of key autophagy or tumor-suppressor genes, such as Beclin-1 and PTEN, is common in tumors. In PTEN-deficient, p53 wild-type U87MG cells, arsenite increases ROS, triggers autophagy, and promotes mitochondrial membrane permeabilization, indicating PTEN-independent autophagic mechanisms. Interestingly, arsenite selectively inhibits lysosomal cathepsin B, leading to accumulation of undegraded autophagolysosomal substrates and shifting cells toward apoptosis [60].
Stage-specific modulation of autophagy influences ATO cytotoxicity: early inhibition (e.g., 3-MA or Beclin-1 knockdown) reduces ATO toxicity, whereas blocking late autophagic flux (e.g., chloroquine or Rab7 knockdown) enhances cytotoxicity through vacuole accumulation and apoptosis. Rab7 is essential for late endosomal maturation, and Beclin-1 depletion attenuates both autophagy and apoptosis, abrogating the ATO–chloroquine synergy. Survivin overexpression, linked to glioma progression and poor prognosis, suppresses autophagy and apoptosis and modulates ATO sensitivity [61]. Combined therapies, such as ATO with ionizing radiation or autophagy modulators, enhance mitotic arrest and cell death in resistant gliomas [62]. Sub-cytotoxic cyclosporine A potentiates ATO-induced autophagy-associated death in U87MG cells via increased LC3-II and Beclin-1, and silencing DNA repair gene XPC sensitizes U87 cells to UV and ATO, concomitant with elevated autophagy and senescence (Table 2) [59].
Table 2.
Summary of included studies in brain disorders.
| Contaminant | Study model | Cell line | Tissue | Disease | Genes | Findings | Ref | ||
|---|---|---|---|---|---|---|---|---|---|
| As2O3 | Cell lines | U87 | Brain | Likely glioblastoma | LC3 |
|
Liu et al. [59] | ||
| As2O3 | Cell lines | U118-MG | Brain | Glioblastoma | LC3 |
|
Chiu et al. [62] | ||
| As2O3 | Cell line | U118-MG | Brain | Glioblastoma | LC3 Atg5 Atg5–12 Beclin1 |
|
Chiu et al. [61] | ||
| Mice | U118-MG tumor-model | Brain | Glioblastoma | ||||||
| As2O3 | Cell lines | U118MG | Brain | Glioblastoma | HSP-70 |
|
Cheng et al. [63] | ||
| As2O3 | Cell lines | U87 | Brain | Likely glioblastoma | Beclin 1 LC3 SQSTM1 |
|
Li et al. [64] | ||
| U251 | Brain | Glioblastoma | |||||||
| As2O3 | Cell lines | U87-MG | Brain | Likely glioblastoma | LC3 Lamp-1 |
|
Pucer et al. [60] | ||
| As2O3 | Cell lines | DBTRG-05MG | Brain | Glioblastoma | LC3 Atg7 |
|
Kuo et al. [65] | ||
| As2O3 | Cell lines | U87-MG | Brain | Likely glioblastoma | - |
|
Kanzawa et al. [66] | ||
| A172 | Brain | Glioblastoma | |||||||
| T98G | Brain | Glioblastoma multiforme | |||||||
| U373-MG | Brain | Glioblastoma | |||||||
| GB-1 | Brain | Glioma | |||||||
| U251-MG | Brain | Glioblastoma | |||||||
| As2O3 | Cell lines | U373-MG | Brain | Glioblastoma | LC3 BNIP3 BNIP3L |
|
Kanzawa et al. [67] | ||
| U87-MG | Brain | Likely glioblastoma | |||||||
| T98G | Brain | Glioblastoma multiforme | |||||||
| As2O3 | Cell lines | U-373 MG | Brain | Glioblastoma | Atg5 Beclin 1 BNIP3 Atg5-Atg12 LC3 II |
|
Gargini et al. [68] | ||
| U-87 MG | Brain | Glioblastoma | |||||||
| Mice | MCF7lis | Xenograft model | Glioma | ||||||
| Sodium arsenite | Rats | - | CNS | Neurotoxicity | LC3-II |
|
Teng et al. [69] | ||
| Primary cultured cortical neurons | |||||||||
| Sodium arsenite | Wistar rats | - | CNS | Neurotoxicity | LC3-II, Atg7, Atg12 |
|
BonakdarYazdi et al. [70] | ||
| Sodium arsenite | Primary cultured cortical neurons | CNS | Neurotoxicity | LC3-II, Atg7 |
|
Teng et al. [71] | |||
| Sodium arsenite | Cell line | SH-SY5Y cells | CNS | Neurotoxicity | LC3-I/II, P62 |
|
Cholanians et al. [72] | ||
| Mice | - | ||||||||
7.3. Ovarian cancer
Emerging evidence indicates that arsenic trioxide (ATO) induces dose-dependent autophagic vacuole formation in ovarian carcinoma cells; for instance, treatment with 4 µM ATO for 72 h triggered autophagy in approximately 30–50 % of cells [73], [74], [75]. ATO upregulates autophagy-promoting factors, including Beclin-1 and ATG5, in a time- and dose-dependent manner. Concurrently, it downregulates oncogenic or signaling molecules such as EVI1, TAK1, SMAD2/3, and TGFβRII, while increasing SnoN/SkiL levels. Notably, SnoN expression temporally parallels LC3-II accumulation, appearing early during cytoplasmic vacuolation prior to apoptosis. Functional assays show that Beclin-1 knockdown minimally affects autophagy, whereas silencing ATG5, ATG7, or hVps34 substantially suppresses ATO-induced autophagy. SnoN depletion reduces LC3-II and enhances PARP cleavage, suggesting a Beclin-1-independent autophagic pathway in ovarian carcinoma, with SnoN maintaining an autophagy-dependent survival program [73].
Given the central role of the PI3K/AKT/mTOR axis in ovarian tumorigenesis, mTOR inhibitors such as everolimus (Rad001) have limited efficacy as monotherapies. Remarkably, combining ATO with Rad001 produces synergistic cytotoxicity, associated with decreased p-AKT and increased autophagy markers (ATG5–ATG12 conjugate, LC3-II), highlighting a strategy to sensitize tumors to targeted therapy [76]. PENAO, an organoarsenical in phase-1 evaluation, exhibits variable activity across ovarian cancer histotypes; SKOV-3 cells demonstrate resistance due to PENAO-induced oxidative stress, upregulation of heme oxygenase-1, and a glycolytic metabolic shift. Co-treatment with an mTORC1 inhibitor reverses this adaptive response, restoring sensitivity and promoting cell death via combined autophagic and apoptotic mechanisms. These findings support dual-targeting of mitochondria and mTOR pathways in refractory epithelial ovarian cancers (Table 3) [77]
Table 3.
Summary of included studies in ovarian cancers.
| Contaminant | Study model | Cell line | Tissue | Disease | Marker | Findings | Ref | |
|---|---|---|---|---|---|---|---|---|
| As2O3 | Cell line | SKOV-3 | Ovary | Ovarian carcinoma | ATG5–ATG12 conjugate, LC3–2,p62 |
|
Liu et al. [76] | |
| Mice | Ovarian cancer xenograft | |||||||
| PENAO | SKOV-3 | Ovary | Ovarian carcinoma | LC3 |
|
Decollogne et al. [77] | ||
| OVCAR-3 | Ovary | Ovarian carcinoma | ||||||
| CH-1 | Ovary | Ovarian carcinoma | ||||||
| EFO27 | Ovary | Ovarian mucinous adenocarcinoma | ||||||
| Mice | - | Ovarian cancer xenograft | ||||||
| As2O3 | Cell lines | SKOV-3 | Ovary | Ovarian carcinoma | LC3, Beclin-1, ATG5, ATG7, hVps34, p62 |
|
Smith et al. [73] | |
| HEY | Ovary | Papillary cystadenocarcinoma of the ovary | ||||||
| OVCA429 | Ovary | Ovarian cystadenocarcinoma | ||||||
| As2O3 | Cell line | CHO AA8 | Ovary | - | - |
|
Izdebska et al. [78] | |
| Arsenite | Cell line | CHO | Ovary | - | p62 LC3 |
|
Christian et al. [79] | |
7.4. Prostate cancer
Arsenic trioxide (ATO) activates autophagic pathways in prostate carcinoma models [80]. Although mTOR inhibitors such as everolimus (Rad001) exhibit limited efficacy as single agents, co-treatment with ATO enhances cytotoxicity through concurrent activation of autophagy and apoptosis. This synergistic effect is associated with increased Beclin-1 mRNA stability and upregulation of autophagy effectors, including the ATG5–ATG12 conjugate and LC3-II. In vivo, the Rad001–ATO combination effectively suppresses tumor growth in prostate cancer xenografts, providing mechanistic rationale for combining arsenic derivatives with PI3K/AKT/mTOR pathway inhibitors [74].
Separately, silibinin modulates oxidative balance in arsenic-exposed human prostate cancer (PCa) cells, inhibiting proliferation and survival via induction of both autophagy and apoptosis. Silibinin downregulates cyclin-dependent kinases (CDK2, CDK4, CDK6) and cyclins (D1, D3, E), leading to G1 or G2/M cell cycle arrest and concurrent upregulation of CDK inhibitors p21 and p27. KML001 (sodium meta-arsenite, NaAsO₂), an orally bioavailable arsenic compound, triggers dose- and time-dependent apoptosis and autophagy in prostate cancer cells; co-treatment with the ROS scavenger N-acetylcysteine (NAC) attenuates LC3 accumulation and PARP cleavage, highlighting an ROS-mediated mechanism (Table 4) [81].
Table 4.
Summary of included studies in prostate carcinoma.
| Contaminant | Study model | Cell line | Tissue | Disease | Marker | Findings | Ref |
|---|---|---|---|---|---|---|---|
| As2O3 | Cell lines | LNCaP | Prostate | Prostate carcinoma | ATG5-ATG12 conjugate, Beclin1, LC3 |
|
Tai et al. [74] |
| PC3 | Prostate | Prostate carcinoma | |||||
| Mice | LNCaP xenograft model. | ||||||
| As2O3 | Cell line | PC3 | Prostate | Adenocarcinoma | Atg5, Beclin 1, BNIp3, Atg5-Atg12, LC3–2 |
|
Gargini et al. [68] |
| Sodium arsenite | Cell lines | DU145 | Prostate | Carcinoma | Beclin 1 |
|
Prajapati et al. [81] |
| 22Rv1 | Prostate | Carcinoma | |||||
| KML001 (NaAsO2, sodium metaarsenite,kominox) | Cell lines | PC3 | Prostate | Prostate carcinoma | LC3 |
|
You et al. [82] |
| DU145 | Prostate | Prostate carcinoma | |||||
| LNCaP | Prostate | Prostate carcinoma | |||||
| Mice | - | DU145 xenograft model | |||||
7.5. Skin cancer
Epidemiological and mechanistic evidence links arsenic exposure to skin carcinogenesis, although precise molecular pathways remain incompletely defined. In keratinocytes, arsenic trioxide (ATO) combined with BCNU (carmustine) enhances cytotoxicity via autophagy-associated cell death, and antioxidant treatment abrogates both ROS generation and autophagy, highlighting a redox-dependent mechanism [65]. The scaffold protein p62/SQSTM1 integrates signals from mTOR, MAPK, and NF-κB and plays a central role in Nrf2-mediated antioxidant responses. In HaCaT cells, arsenic induces p62 expression independently of autophagy, and chronic exposure in mice elevates epidermal p62 alongside increased proliferation. p62 knockdown reduces arsenic-driven Nrf2 activation and induces sustained p21 upregulation, modestly affecting apoptosis while significantly inhibiting proliferation, suggesting p62 as a potential target to prevent arsenic-induced skin tumorigenesis [83]. In this scenario, inhibiting the autophagy switch or fixing its impairment could serve as a promising chemopreventive strategy.
Comparative studies of realgar nanoparticles and ATO in melanoma cell lines (BOWES, A375) demonstrate dose-dependent cytotoxicity: lower doses enhance lysosomal activity and autophagy, whereas higher doses induce apoptosis. Realgar also modulates cell cycle progression, causing G2/M arrest, and alters phosphorylation of key signaling kinases (IκB, Akt, ERK1/2, p38, JNK), indicating perturbation of multiple pathways (Table 5) [84], [85], [86].
Table 5.
Summary of included studies in skin cancer.
| Contaminant | Study model | Cell line | Tissue | Disease | Marker | Findings | Ref |
|---|---|---|---|---|---|---|---|
| Sodium arsenic | Cell line | HaCaT | Immortalized human keratinocytes | - | p62, LC3 |
|
Shah et al. [83] |
| Mice | - | Skin | - | ||||
| As2O3 | Cell lines | A2058 | Skin | Melanoma | LC3 Atg7 |
|
Kuo et al. [65] |
| Realgar Nps, As2O3 | Cell lines | BOWES | Skin | Melanoma | LC3-II, p62 |
|
Pastorek et al. [84] |
| A375 | Skin | Malignant melanoma |
7.6. Other cancers
Over the past decade, accumulating genetic and mechanistic evidence has strengthened the link between autophagy dysregulation and tumorigenesis across diverse cancer types. Autophagy-promoting molecules are often associated with tumor-suppressive functions, whereas autophagy inhibitors frequently correlate with oncogenic processes. These findings indicate that autophagy contributes to multiple stages of cancer initiation, progression, and adaptation [86]. Given that tumor cells exploit autophagy to survive metabolic and environmental stresses, defining its precise roles is essential for translating mechanistic insights into effective therapeutic strategies. A comprehensive summary of studies examining autophagy in various cancer models is provided in Table 6.
Table 6.
Summary of included studies in other cancers.
| Contaminant | Study model | Cell line | Tissue | Disease | Marker | Findings | Ref | |
|---|---|---|---|---|---|---|---|---|
| As2O3 | Cell line | HT1080 | Connective tissue | Fibrosarcoma | LC3-I, LC3-II, p62, Beclin 1 |
|
Chiu et al. [87] | |
| Mice | HT1080 cells xenograft model | |||||||
| Arsenic sulfide (As2S2) |
Cell lines | 143B | Bone | Osteosarcoma | GFP-LC3 Beclin-1 |
|
Wang et al. [88] | |
| MG-63 | Bone | Osteosarcoma | ||||||
| HOS | Bone | Osteosarcoma | ||||||
| U2OS | Bone | Osteosarcoma | ||||||
| Mice | - | Osteosarcoma xenograft model | ||||||
| As2O3 | Cell lines | HOS | Bone | Osteosarcoma | Beclin 1, LC3, p62 |
|
Chiu et al. [89] | |
| As2O3 | Cell line | SW 1353 | Bone | Chondrosarcoma | LC3-I, LC3-II, p62 |
|
Jiao et al. [90] | |
| As2O3 | Cell line | Neonatal rat ventricular cardiomyocytes |
Cardiomyoblastoma | LC3 p62 |
|
Bessho et al. [91] | ||
| Arsenite | Cell lines | HeLa | Cervix | Adenocarcinoma | p62 LC3 |
|
Christian et al. [79] | |
| As2O3 | Cell lines | HT-29 | Colorectal adenocarcinoma | LC3 Atg7 |
|
Kuo et al. [65] | ||
| MCF-7 | Mammary gland /Breast | Adenocarcinoma | ||||||
| As2O3 | Cell lines | MDA-MB | Mammary gland/Breast | Breast carcinoma | Atg5 Beclin 1 BNIp3 Atg5-Atg12 LC3 II |
|
Gargini et al. [68], [86] | |
| HeLA | Cervix | Adenocarcinoma | ||||||
| MCF7 | Mammary gland /Breast |
Adenocarcinoma | ||||||
| Mice | MCF7lis | Xenograft Model | Breast cancer | |||||
| As2O3 | Cell line | MCF7 | Breast | Breast adenocarcinoma | - |
|
Martinez-Outschoorn et al. [86] | |
8. Therapeutic implications and future perspectives
The Autophagy Switch model has direct translational relevance. The goal is not to universally inhibit or promote autophagy, but to strategically modulate it based on context (Fig. 3). As seen with ATO and everolimus, targeting parallel pathways can trigger lethal autophagy in resistant cancers [74]. The opposing effects of early vs. late-stage autophagy inhibitors in GBM models underscore the need for precision. Biomarkers of autophagic flux are essential to determine the optimal therapeutic window. Tumors may resist ATO by upregulating protective autophagy. In such cases, combining ATO with autophagy inhibitors, such as hydroxychloroquine, could be beneficial. Conversely, in tumors where ATO fails to induce sufficient autophagy, sensitizing agents may be required [92], [93].
9. Future research directions
Future research and efforts may focus on developing arsenic-specific autophagy flux reporters for real-time in vivo tracking, defining the Switch thresholds that systematically determine the genetic and metabolic conditions guiding the survival-death decision, and exploring novel arsenic formulations such as nano-particle realgar and organoarsenicals like PENAO that may engage the autophagy switch differently than ATO, offering new therapeutic possibilities.
10. Discussion
This review integrates current evidence linking arsenic exposure and treatment to autophagy modulation across diverse disease contexts. Arsenic is a potent inducer of oxidative stress, driving DNA damage, lipid peroxidation, and apoptosis. While arsenic-induced apoptotic mechanisms are well characterized, the contribution of autophagy to arsenic toxicity or therapeutic efficacy has been less thoroughly explored. Impaired autophagy can cause cellular dysfunction and increase cancer susceptibility, whereas some anticancer interventions exploit autophagy as a cell-death pathway complementary to apoptosis [94].
Apoptosis and autophagy intersect at multiple nodes, sharing key effector proteins such as Bcl-XL, Bcl-2, ATG5, Beclin-1, and BNIP3, and converging on upstream signaling pathways including PI3K/Akt/mTOR, MAPK, STAT3, and NF-κB [89], [95]. Arsenic trioxide often suppresses Akt/mTOR activity, thereby relieving autophagic inhibition. Oxidative stress modulates regulators such as PTEN, p70S6K, and ERK1/2, contributing to autophagy induction. ROS target nucleic acids, proteins, and lipids, activating both apoptotic and autophagic programs via ROS–JNK signaling with concurrent Akt/mTOR suppression. In renal proximal tubular HK-2 cells, autophagy acts as an early adaptive response to arsenic-induced oxidative stress, subsiding once the oxidative burden is alleviated [89], [96], [97], [98].
The transcription factor Nrf2 plays a context-dependent role: while generally cytoprotective, prolonged As³ ⁺ exposure can shift Nrf2 signaling toward tumor-promoting activity. Accumulation of p62 due to impaired autophagy further enhances Nrf2 activation, favoring cell survival, proliferation, and carcinogenesis in transformed cells [99]. Collectively, these findings highlight autophagy’s involvement in diverse human cancers and disorders, emphasizing that therapeutic modulation of autophagy—whether stimulation or inhibition—must be carefully tailored to disease stage, tissue type, and timing of arsenic exposure or treatment.
11. Conclusion
Elucidating whether autophagy modulation meaningfully contributes to tumor suppression or oncogenesis in the context of arsenic exposure is of critical importance. As a key adaptive mechanism, autophagy enables tumor cells to withstand metabolic and environmental stress, underscoring the need for a nuanced understanding of autophagic dynamics to advance cancer research and inform therapeutic strategies [100]. Insights from the literature summarized in this review may guide clinicians in determining when autophagy activators or inhibitors could confer therapeutic benefit in arsenic-related pathologies. Moving forward, precise quantification of autophagic flux in clinically relevant models, alongside careful translation of experimental findings to human studies, will be essential for improving patient outcomes.
12. Abbreviations
Abbreviations used in this article include: Ambra1 (activating molecule in Beclin-1–regulated autophagy), Atg (autophagy-related genes), Bcl (B-cell leukemia/lymphoma), FIP200 (focal adhesion kinase family–interacting protein of approximately 200 kDa), LC3 (microtubule-associated protein 1 light chain 3), mTOR (mammalian or mechanistic target of rapamycin), PI3K (phosphatidylinositol 3-kinase), ULK1 (Unc-51-like autophagy activating kinase 1), and Vps (vacuolar protein sorting). Other abbreviations include Akt1 (thymoma viral proto-oncogene 1), Bad (BCL2-associated agonist of cell death), Bak1 (BCL2-antagonist/killer 1), Bax (BCL2-associated X protein), Bcl2 (B-cell leukemia/lymphoma 2), Bcl2l1 (BCL2-like 1), Becn1 (Beclin 1, autophagy-related), and Bid (BH3-interacting domain death agonist). Caspase family members such as Casp3 (caspase 3) and Casp8 (caspase 8) are also mentioned, along with Cdkn1b (cyclin-dependent kinase inhibitor 1B), Cdkn2a (cyclin-dependent kinase inhibitor 2 A), Cln3 (ceroid lipofuscinosis neuronal 3, juvenile form—Batten or Spielmeyer–Vogt disease), Gabarap (gamma-aminobutyric acid receptor–associated protein), Igf1 (insulin-like growth factor 1), Ins2 (insulin II), Mtor (mechanistic target of rapamycin, serine/threonine kinase), Nfkb1 (nuclear factor of kappa-light polypeptide gene enhancer in B-cells 1), Pten (phosphatase and tensin homolog), Rab24 (member of the RAB family, RAS oncogene–related protein 24), Rb1 (retinoblastoma 1), Sqstm1 (sequestosome 1), Tgfb1 (transforming growth factor beta 1), Tnf (tumor necrosis factor), and Trp53 (transformation-related protein 53, p53).
CRediT authorship contribution statement
Hamed Zeinvand-Lorestani: Writing – review & editing. Fakher Rahim: Writing – review & editing. Marzieh Zeinvand-Lorestani: Writing – review & editing, Writing – original draft, Data curation.
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.
Acknowledgment
The authors would like to express their sincere appreciation to the Iranian Research Organization for Science and Technology (IROST) for its valuable scientific support and for providing a conducive environment that facilitated the preparation of this review.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Handling Editor: L.H. Lash
Data availability
Data will be made available on request.
References
- 1.Demissie S., Mekonen S., Awoke T., Mengistie B. Assessing acute and chronic risks of human exposure to arsenic: a cross-sectional study in ethiopia employing body biomarkers. Environ. Health Insights. 2024;18 doi: 10.1177/11786302241257365. 11786302241257365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Liu S., Piao F., Sun X., Bai L., Peng Y., Zhong Y., Ma N., Sun W. Arsenic-induced inhibition of hippocampal neurogenesis and its reversibility. Neurotoxicology. 2012;33(5):1033–1039. doi: 10.1016/j.neuro.2012.04.020. [DOI] [PubMed] [Google Scholar]
- 3.Ratnaike R.N. Acute and chronic arsenic toxicity. Post. Med J. 2003;79(933):391–396. doi: 10.1136/pmj.79.933.391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Douer D., Tallman M.S. Arsenic trioxide: new clinical experience with an old medication in hematologic malignancies. J. Clin. Oncol. 2005;23(10):2396–2410. doi: 10.1200/JCO.2005.10.217. [DOI] [PubMed] [Google Scholar]
- 5.Ghavamzadeh A., Alimoghaddam K., Rostami S., Ghaffari S.H., Jahani M., Iravani M., Mousavi S.A., Bahar B., Jalili M. Phase II study of single-agent arsenic trioxide for the front-line therapy of acute promyelocytic leukemia. J. Clin. Oncol. 2011;29(20):2753–2757. doi: 10.1200/JCO.2010.32.2107. [DOI] [PubMed] [Google Scholar]
- 6.Gill H., Raghupathy R., Hou H.A., Cheng-Hong Tsai X., Tantiworawit A., Ooi M.G., Gan G.G., Wong C.L., Yim R., Chin L., Lee P., Li V.W.K., Au L., Zhang Q., Leung G.M.K., Wu T.K.Y., Lee C.Y.Y., Chng W.J., Tien H.F., Kumana C.R., Kwong Y.L. Acute Promyelocytic Leukemia Asian Consortium study of arsenic trioxide in newly diagnosed patients: impact and outcome. Blood Adv. 2025;9(4):862–876. doi: 10.1182/bloodadvances.2024014999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lengfelder E., Hofmann W.K., Nowak D. Impact of arsenic trioxide in the treatment of acute promyelocytic leukemia. Leukemia. 2012;26(3):433–442. doi: 10.1038/leu.2011.245. [DOI] [PubMed] [Google Scholar]
- 8.Powell B.L., Moser B., Stock W., Gallagher R.E., Willman C.L., Stone R.M., Rowe J.M., Coutre S., Feusner J.H., Gregory J., Couban S., Appelbaum F.R., Tallman M.S., Larson R.A. Arsenic trioxide improves event-free and overall survival for adults with acute promyelocytic leukemia: North American Leukemia Intergroup Study C9710. Blood. 2010;116(19):3751–3757. doi: 10.1182/blood-2010-02-269621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wang H., Chen X.Y., Wang B.S., Rong Z.X., Qi H., Chen H.Z. The efficacy and safety of arsenic trioxide with or without all-trans retinoic acid for the treatment of acute promyelocytic leukemia: a meta-analysis. Leuk. Res. 2011;35(9):1170–1177. doi: 10.1016/j.leukres.2011.06.002. [DOI] [PubMed] [Google Scholar]
- 10.Yan M., Wang H., Wei R., Li W. Arsenic trioxide: applications, mechanisms of action, toxicity and rescue strategies to date. Arch. Pharmacal Res. 2024;47(3):249–271. doi: 10.1007/s12272-023-01481-y. [DOI] [PubMed] [Google Scholar]
- 11.Ganie S.Y., Javaid D., Hajam Y.A., Reshi M.S. Arsenic toxicity: sources, pathophysiology and mechanism. Toxicol. Res. 2024;13(1) doi: 10.1093/toxres/tfad111. tfad111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bibha K., Akhigbe T.M., Hamed M.A., Akhigbe R.E. Metabolic derangement by Arsenic: a review of the mechanisms. Biol. Trace Elem. Res. 2024;202(5):1972–1982. doi: 10.1007/s12011-023-03828-4. [DOI] [PubMed] [Google Scholar]
- 13.Klionsky D.J. Autophagy: from phenomenology to molecular understanding in less than a decade. Nat. Rev. Mol. Cell Biol. 2007;8(11):931–937. doi: 10.1038/nrm2245. [DOI] [PubMed] [Google Scholar]
- 14.Maiuri M.C., Zalckvar E., Kimchi A., Kroemer G. Self-eating and self-killing: crosstalk between autophagy and apoptosis. Nat. Rev. Mol. Cell Biol. 2007;8(9):741–752. doi: 10.1038/nrm2239. [DOI] [PubMed] [Google Scholar]
- 15.Tanaka Y., Kume S., Kitada M., Kanasaki K., Uzu T., Maegawa H., Koya D. Autophagy as a therapeutic target in diabetic nephropathy. Exp. Diabetes Res. 2012 doi: 10.1155/2012/628978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Coryell M., McAlpine M., Pinkham N.V., McDermott T.R., Walk S.T. The gut microbiome is required for full protection against acute arsenic toxicity in mouse models. Nat. Commun. 2018;9(1):5424. doi: 10.1038/s41467-018-07803-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Levy M., Blacher E., Elinav E. Microbiome, metabolites and host immunity. Curr. Opin. Microbiol. 2017;35:8–15. doi: 10.1016/j.mib.2016.10.003. [DOI] [PubMed] [Google Scholar]
- 18.Stýblo M., Venkatratnam A., Fry R.C., Thomas D.J. Origins, fate, and actions of methylated trivalent metabolites of inorganic arsenic: progress and prospects. Arch. Toxicol. 2021;95(5):1547–1572. doi: 10.1007/s00204-021-03028-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Soto-Reyes E., Del Razo L.M., Valverde M., Rojas E. Role of the alkali labile sites, reactive oxygen species and antioxidants in DNA damage induced by methylated trivalent metabolites of inorganic arsenic. Biometals. 2005;18(5):493–506. doi: 10.1007/s10534-005-0858-7. [DOI] [PubMed] [Google Scholar]
- 20.Rehman K., Fu Y.J., Zhang Y.F., Wang Q.Q., Wu B., Wu Y., Zhou X.Y., Sun W.H., Sun T.F., Naranmandura H. Trivalent methylated arsenic metabolites induce apoptosis in human myeloid leukemic HL-60 cells through generation of reactive oxygen species. Metallomics. 2014;6(8):1502–1512. doi: 10.1039/c4mt00119b. [DOI] [PubMed] [Google Scholar]
- 21.Ro S.-H., Bae J., Jang Y., Myers J.F., Chung S., Yu J., Natarajan S.K., Franco R., Song H.-S. Arsenic toxicity on metabolism and autophagy in adipose and muscle tissues. Antioxidants. 2022;11:689. doi: 10.3390/antiox11040689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Petrick J.S., Jagadish B., Mash E.A., Aposhian H.V. Monomethylarsonous acid (MMAIII) and arsenite: LD50 in hamsters and in vitro inhibition of pyruvate dehydrogenase. Chem. Res. Toxicol. 2001;14(6):651–656. doi: 10.1021/tx000264z. [DOI] [PubMed] [Google Scholar]
- 23.Feng R., Liu J., Yang Z., Yao T., Ye P., Li X., Zhang J., Jiang H. Realgar-induced neurotoxicity: crosstalk between the autophagic flux and the p62-NRF2 feedback loop mediates p62 accumulation to promote apoptosis. Mol. Neurobiol. 2023;60(10):6001–6017. doi: 10.1007/s12035-023-03452-2. [DOI] [PubMed] [Google Scholar]
- 24.Wang Y., Zhao H., Shao Y., Liu J., Li J., Luo L., Xing M. Copper (II) and/or arsenite-induced oxidative stress cascades apoptosis and autophagy in the skeletal muscles of chicken. Chemosphere. 2018;206:597–605. doi: 10.1016/j.chemosphere.2018.05.013. [DOI] [PubMed] [Google Scholar]
- 25.Kitchin K.T. Recent advances in arsenic carcinogenesis: modes of action, animal model systems, and methylated arsenic metabolites. Toxicol. Appl. Pharm. 2001;172(3):249–261. doi: 10.1006/taap.2001.9157. [DOI] [PubMed] [Google Scholar]
- 26.Gao Q., Jiang J., Chu Z., Lin H., Zhou X., Liang X. Arsenic trioxide inhibits tumor-induced myeloid-derived suppressor cells and enhances T-cell activity. Oncol. Lett. 2017;13(4):2141–2150. doi: 10.3892/ol.2017.5679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Alissafi T., Hatzioannou A., Mintzas K., Barouni R.M., Banos A., Sormendi S., Polyzos A., Xilouri M., Wielockx B., Gogas H., Verginis P. Autophagy orchestrates the regulatory program of tumor-associated myeloid-derived suppressor cells. J. Clin. Invest. 2018;128(9):3840–3852. doi: 10.1172/JCI120888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Liu Y., Shoji-Kawata S., Sumpter R.M., Jr., Wei Y., Ginet V., Zhang L., Posner B., Tran K.A., Green D.R., Xavier R.J., Shaw S.Y., Clarke P.G., Puyal J., Levine B. Autosis is a Na+,K+-ATPase-regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia-ischemia. Proc. Natl. Acad. Sci. USA. 2013;110(51):20364–20371. doi: 10.1073/pnas.1319661110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kumar A., Raj V., Srivastava A., Ali M., Ghosh A.K., Rachamalla M., Kumar D. In: Autophagy and Metabolism. Kumar D., Asthana S., editors. Academic Press; 2022. Chapter 6 - Autophagy in arsenic exposed population and cancer patients; pp. 141–161. [Google Scholar]
- 30.Fan Y., Chen M., Meng J., Yu L., Tu Y., Wan L., Fang K., Zhu W. Arsenic trioxide and resveratrol show synergistic anti-leukemia activity and neutralized cardiotoxicity. PloS One. 2014;9(8) doi: 10.1371/journal.pone.0105890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ganesan S., Alex A.A., Chendamarai E., Balasundaram N., Palani H.K., David S., Kulkarni U., Aiyaz M., Mugasimangalam R., Korula A., Abraham A., Srivastava A., Padua R.A., Chomienne C., George B., Balasubramanian P., Mathews V. Rationale and efficacy of proteasome inhibitor combined with arsenic trioxide in the treatment of acute promyelocytic leukemia. Leukemia. 2016;30(11):2169–2178. doi: 10.1038/leu.2016.227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Isakson P., Bjørås M., Bøe S.O., Simonsen A. Autophagy contributes to therapy-induced degradation of the PML/RARA oncoprotein. Blood. 2010;116(13):2324–2331. doi: 10.1182/blood-2010-01-261040. [DOI] [PubMed] [Google Scholar]
- 33.Jimenez J.J., Chale R.S., Abad A.C., Schally A.V. Acute promyelocytic leukemia (APL): a review of the literature. Oncotarget. 2020;11(11):992–1003. doi: 10.18632/oncotarget.27513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ren Y., Xie Y., Chai L., Wang S., Cheng M. Autophagy modification augmented the treatment effects initiated by arsenic trioxide in NB4 cells. Med Oncol. 2011;28(1):231–236. doi: 10.1007/s12032-010-9430-6. [DOI] [PubMed] [Google Scholar]
- 35.Charoensuk V., Gati W.P., Weinfeld M., Le X.C. Differential cytotoxic effects of arsenic compounds in human acute promyelocytic leukemia cells. Toxicol. Appl. Pharm. 2009;239(1):64–70. doi: 10.1016/j.taap.2009.05.016. [DOI] [PubMed] [Google Scholar]
- 36.Yang L., Yang M., Zhang H., Wang Z., Yu Y., Xie M., Zhao M., Liu L., Cao L. S100A8-targeting siRNA enhances arsenic trioxide-induced myeloid leukemia cell death by down-regulating autophagy. Int J. Mol. Med. 2012;29(1):65–72. doi: 10.3892/ijmm.2011.806. [DOI] [PubMed] [Google Scholar]
- 37.Yang Y.-p, Liang Z.-q, Gao B., Jia Y.-l, Qin Z.-h. Dynamic effects of autophagy on arsenic trioxide-induced death of human leukemia cell line HL60 cells. Acta Pharmacol. Sin. 2008;29(1):123–134. doi: 10.1111/j.1745-7254.2008.00732.x. [DOI] [PubMed] [Google Scholar]
- 38.Guidarelli A., Carloni S., Balduini W., Fiorani M., Cantoni O. Mitochondrial ascorbic acid prevents mitochondrial O₂·⁻ formation, an event critical for U937 cell apoptosis induced by arsenite through both autophagic-dependent and independent mechanisms. Biofactors. 2016;42(2):190–200. doi: 10.1002/biof.1263. [DOI] [PubMed] [Google Scholar]
- 39.Ondrousková E., Soucek K., Horváth V., Smarda J. Alternative pathways of programmed cell death are activated in cells with defective caspase-dependent apoptosis. Leuk. Res. 2008;32(4):599–609. doi: 10.1016/j.leukres.2007.05.012. [DOI] [PubMed] [Google Scholar]
- 40.Guo Z., Meng M., Geng S., Du Z., Zheng Y., Yao J., Li Z., Han G., Lin H., Du G. The optimal dose of arsenic trioxide induced opposite efficacy in autophagy between K562 cells and their initiating cells to eradicate human myelogenous leukemia. J. Ethnopharmacol. 2017;196:29–38. doi: 10.1016/j.jep.2016.12.010. [DOI] [PubMed] [Google Scholar]
- 41.Zhang G., Liu J., Zhang Y., Qu J., Xu L., Zheng H., Liu Y., Qu X. Cbl-b-dependent degradation of FLIP(L) is involved in ATO-induced autophagy in leukemic K562 and gastric cancer cells. FEBS Lett. 2012;586(19):3104–3110. doi: 10.1016/j.febslet.2012.07.067. [DOI] [PubMed] [Google Scholar]
- 42.Goussetis D.J., Gounaris E., Wu E.J., Vakana E., Sharma B., Bogyo M., Altman J.K., Platanias L.C. Autophagic degradation of the BCR-ABL oncoprotein and generation of antileukemic responses by arsenic trioxide. Blood. 2012;120(17):3555–3562. doi: 10.1182/blood-2012-01-402578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Zaza A., Zardo G., Banella C., Tucci S., de Marinis E., Gentile M., Travaglini S., Divona M., Ottone T., Castelli G., Cerio A.M., Angelini D.F., Faraoni I., Palmieri R., Niscola P., Ammatuna E., Venditti A., Nervi C., Voso M.T., Catalano G., Noguera N.I. PML::RARα+ myeloid cells display metabolic alterations that can be targeted to treat resistant/relapse acute promyelocytic leukemias. Leukemia. 2025 doi: 10.1038/s41375-025-02738-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Li R., Xue C., Pan Y., Li G., Huang Z., Xu J., Zhang J., Chen X., Hou L. Research on different compound combinations of Realgar-Indigo naturalis formula to reverse acute promyelocytic leukemia arsenic resistance by regulating autophagy through mTOR pathway. J. Ethnopharmacol. 2024;326 doi: 10.1016/j.jep.2024.117778. [DOI] [PubMed] [Google Scholar]
- 45.Zhang F., Zhu F.-B., Li J.-J., Zhang P.-P., Zhu J.-F. Hyperoside enhances the suppressive effects of arsenic trioxide on acute myeloid leukemia cells. Int. J. Clin. Exp. Med. 2015;8(9):15290. [PMC free article] [PubMed] [Google Scholar]
- 46.LIANG Z. q, GAO B. Dynamic effects of autophagy on arsenic trioxide-induced death of human leukemia cell line HL60 cells. Acta Pharmacol. Sin. 2008;29(1):123–134. doi: 10.1111/j.1745-7254.2008.00732.x. [DOI] [PubMed] [Google Scholar]
- 47.Han M.H., Lee W.S., Lu J.N., Yun J.W., Kim G., Jung J.M., Kim G.-Y., Lee S.-J., Kim W.-J., Choi Y.H. Tetraarsenic hexoxide induces Beclin-1-induced autophagic cell death as well as caspase-dependent apoptosis in U937 human leukemic cells. Evid. Based Complement. Altern. Med. 2012;2012 doi: 10.1155/2012/201414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Cavaliere V., Lombardo T., Costantino S.N., Kornblihtt L., Alvarez E.M., Blanco G.A. Synergism of arsenic trioxide and MG132 in Raji cells attained by targeting BNIP3, autophagy, and mitochondria with low doses of valproic acid and vincristine. Eur. J. Cancer. 2014;50(18):3243–3261. doi: 10.1016/j.ejca.2014.09.012. [DOI] [PubMed] [Google Scholar]
- 49.Li C.-L., Wei H.-L., Chen J., Wang B., Xie B., Fan L.-L., Li L.-J. Arsenic trioxide induces autophagy and antitumor effects in Burkitt's lymphoma Raji cells. Oncol. Rep. 2014;32(4):1557–1563. doi: 10.3892/or.2014.3369. [DOI] [PubMed] [Google Scholar]
- 50.Zebboudj A., Maroui M.A., Dutrieux J., Touil-Boukoffa C., Bourouba M., Chelbi-Alix M.K., Nisole S. Sodium arsenite induces apoptosis and Epstein–Barr virus reactivation in lymphoblastoid cells. Biochimie. 2014;107:247–256. doi: 10.1016/j.biochi.2014.09.002. [DOI] [PubMed] [Google Scholar]
- 51.Wu E.J., Goussetis D.J., Beauchamp E., Kosciuczuk E.M., Altman J.K., Eklund E.A., Platanias L.C. Resveratrol enhances the suppressive effects of arsenic trioxide on primitive leukemic progenitors. Cancer Biol. Ther. 2014;15(4):473–478. doi: 10.4161/cbt.27824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Haghi A., Salami M., Mohammadi Kian M., Nikbakht M., Mohammadi S., Chahardouli B., Rostami S.H., Malekzadeh K. Effects of sorafenib and arsenic trioxide on U937 and KG-1 cell lines: apoptosis or autophagy? Cell J. 2020;22(3):253–262. doi: 10.22074/cellj.2020.6728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Cheng J., Wei H.-L., Chen J., Xie B. Antitumor effect of arsenic trioxide in human K562 and K562/ADM cells by autophagy. Toxicol. Mech. Methods. 2012;22(7):512–519. doi: 10.3109/15376516.2012.686534. [DOI] [PubMed] [Google Scholar]
- 54.Goussetis D.J., Altman J.K., Glaser H., McNeer J.L., Tallman M.S., Platanias L.C. Autophagy is a critical mechanism for the induction of the antileukemic effects of arsenic trioxide. J. Biol. Chem. 2010;285(39):29989–29997. doi: 10.1074/jbc.M109.090530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Shi D., Liu Y., Xi R., Zou W., Wu L., Zhang Z., Liu Z., Qu C., Xu B., Wang X. Caveolin-1 contributes to realgar nanoparticle therapy in human chronic myelogenous leukemia K562 cells. Int. J. Nanomed. 2016;11:5823. doi: 10.2147/IJN.S115158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Qian W., Liu J., Jin J., Ni W., Xu W. Arsenic trioxide induces not only apoptosis but also autophagic cell death in leukemia cell lines via up-regulation of Beclin-1. Leuk. Res. 2007;31(3):329–339. doi: 10.1016/j.leukres.2006.06.021. [DOI] [PubMed] [Google Scholar]
- 57.Abbas S., Singh S.K., Saxena A.K., Tiwari S., Sharma L.K., Tiwari M. Role of autophagy in regulation of glioma stem cells population during therapeutic stress. J. Stem Cells Regen. Med. 2020;16(2):80–89. doi: 10.46582/jsrm.1602012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Laribee R.N., Boucher A.B., Madireddy S., Pfeffer L.M. The STAT3-regulated autophagy pathway in glioblastoma. Pharmaceuticals. 2023;16(5) doi: 10.3390/ph16050671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Liu S.Y., Wen C.Y., Lee Y.J., Lee T.C. XPC silencing sensitizes glioma cells to arsenic trioxide via increased oxidative damage. Toxicol. Sci. 2010;116(1):183–193. doi: 10.1093/toxsci/kfq113. [DOI] [PubMed] [Google Scholar]
- 60.Pucer A., Castino R., Mirković B., Falnoga I., Slejkovec Z., Isidoro C., Lah T.T. Differential role of cathepsins B and L in autophagy-associated cell death induced by arsenic trioxide in U87 human glioblastoma cells. Biol. Chem. 2010;391(5):519–531. doi: 10.1515/BC.2010.050. [DOI] [PubMed] [Google Scholar]
- 61.Chiu H.W., Ho Y.S., Wang Y.J. Arsenic trioxide induces autophagy and apoptosis in human glioma cells in vitro and in vivo through downregulation of survivin. J. Mol. Med. 2011;89(9):927–941. doi: 10.1007/s00109-011-0763-1. [DOI] [PubMed] [Google Scholar]
- 62.Chiu H.W., Ho S.Y., Guo H.R., Wang Y.J. Combination treatment with arsenic trioxide and irradiation enhances autophagic effects in U118-MG cells through increased mitotic arrest and regulation of PI3K/Akt and ERK1/2 signaling pathways. Autophagy. 2009;5(4):472–483. doi: 10.4161/auto.5.4.7759. [DOI] [PubMed] [Google Scholar]
- 63.Cheng T.-J., Wang Y.-J., Kao W.-W., Chen R.-J., Ho Y.-S. Protection against arsenic trioxide-induced autophagic cell death in U118 human glioma cells by use of lipoic acid. Food Chem. Toxicol. 2007;45(6):1027–1038. doi: 10.1016/j.fct.2006.12.014. [DOI] [PubMed] [Google Scholar]
- 64.Li C., Liu Y., Liu H., Zhang W., Shen C., Cho K., Chen X., Peng F., Bi Y., Hou X. Impact of autophagy inhibition at different stages on cytotoxic effect of autophagy inducer in glioblastoma cells. Cell. Physiol. Biochem. 2015;35(4):1303–1316. doi: 10.1159/000373952. [DOI] [PubMed] [Google Scholar]
- 65.Kuo C.C., Liu T.W., Chen L.T., Shiah H.S., Wu C.M., Cheng Y.T., Pan W.Y., Liu J.F., Chen K.L., Yang Y.N., Chen S.N., Chang J.Y. Combination of arsenic trioxide and BCNU synergistically triggers redox-mediated autophagic cell death in human solid tumors. Free Radic. Biol. Med. 2011;51(12):2195–2209. doi: 10.1016/j.freeradbiomed.2011.09.023. [DOI] [PubMed] [Google Scholar]
- 66.Kanzawa T., Kondo Y., Ito H., Kondo S., Germano I. Induction of autophagic cell death in malignant glioma cells by arsenic trioxide. Cancer Res. 2003;63(9):2103–2108. [PubMed] [Google Scholar]
- 67.Kanzawa T., Zhang L., Xiao L., Germano I.M., Kondo Y., Kondo S. Arsenic trioxide induces autophagic cell death in malignant glioma cells by upregulation of mitochondrial cell death protein BNIP3. Oncogene. 2005;24(6):980–991. doi: 10.1038/sj.onc.1208095. [DOI] [PubMed] [Google Scholar]
- 68.Gargini R., García-Escudero V., Izquierdo M. Therapy mediated by mitophagy abrogates tumor progression. Autophagy. 2011;7(5):466–476. doi: 10.4161/auto.7.5.14731. [DOI] [PubMed] [Google Scholar]
- 69.Teng Y., Tai Y., Huang H., Lin A. Melatonin ameliorates arsenite-induced neurotoxicity: Involvement of autophagy and mitochondria. Mol. Neurobiol. 2015;52(2):1015–1022. doi: 10.1007/s12035-015-9250-y. [DOI] [PubMed] [Google Scholar]
- 70.BonakdarYazdi B., Khodagholi F., Shaerzadeh F., Sharifzadeh A., Ahmadi R., Sanati M., Mehdizadeh H., Payandehmehr B., Vali L., Jahromi M.M. The effect of arsenite on spatial learning: involvement of autophagy and apoptosis. Eur. J. Pharmacol. 2017;796:54–61. doi: 10.1016/j.ejphar.2016.12.023. [DOI] [PubMed] [Google Scholar]
- 71.Teng Y.-C., Jeng C.J., Huang H.-J., Lin A.M.-Y. Role of autophagy in arsenite-induced neurotoxicity: the involvement of α-synuclein. Toxicol. Lett. 2015;233(3):239–245. doi: 10.1016/j.toxlet.2015.01.018. [DOI] [PubMed] [Google Scholar]
- 72.Cholanians A.B., Phan A.V., Ditzel E.J., Camenisch T.D., Lau S.S., Monks T.J. From the cover: arsenic induces accumulation of α-synuclein: implications for synucleinopathies and neurodegeneration. Toxicol. Sci. 2016;153(2):271–281. doi: 10.1093/toxsci/kfw117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Smith D.M., Patel S., Raffoul F., Haller E., Mills G.B., Nanjundan M. Arsenic trioxide induces a beclin-1-independent autophagic pathway via modulation of SnoN/SkiL expression in ovarian carcinoma cells. Cell Death Differ. 2010;17(12):1867–1881. doi: 10.1038/cdd.2010.53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Tai S., Xu L., Xu M., Zhang L., Zhang Y., Zhang K., Zhang L., Liang C. Combination of Arsenic trioxide and Everolimus (Rad001) synergistically induces both autophagy and apoptosis in prostate cancer cells. Oncotarget. 2017;8(7):11206–11218. doi: 10.18632/oncotarget.14493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Tang S., Shen Y., Wei X., Shen Z., Lu W., Xu J. Olaparib synergizes with arsenic trioxide by promoting apoptosis and ferroptosis in platinum-resistant ovarian cancer. Cell Death Dis. 2022;13(9):826. doi: 10.1038/s41419-022-05257-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Liu N., Tai S., Ding B., Thor R.K., Bhuta S., Sun Y., Huang J. Arsenic trioxide synergizes with everolimus (Rad001) to induce cytotoxicity of ovarian cancer cells through increased autophagy and apoptosis. Endocr. Relat. Cancer. 2012;19(5):711–723. doi: 10.1530/ERC-12-0150. [DOI] [PubMed] [Google Scholar]
- 77.Decollogne S., Joshi S., Chung S.A., Luk P.P., Yeo R.X., Nixdorf S., Fedier A., Heinzelmann-Schwarz V., Hogg P.J., Dilda P.J. Alterations in the mitochondrial responses to PENAO as a mechanism of resistance in ovarian cancer cells. Gynecol. Oncol. 2015;138(2):363–371. doi: 10.1016/j.ygyno.2015.06.018. [DOI] [PubMed] [Google Scholar]
- 78.Izdebska M., Klimaszewska-Wiśniewska A., Lewandowski D., Nowak J.M., Gagat M., Grzanka A. Arsenic trioxide preferentially induces nonapoptotic cell deaths as well as actin cytoskeleton rearrangement in the CHO AA8 cell line. Post. Hig. Med Dosw. 2014;68:1492–1500. doi: 10.5604/17322693.1133098. [DOI] [PubMed] [Google Scholar]
- 79.Christian F., Anthony D.F., Vadrevu S., Riddell T., Day J.P., McLeod R., Adams D.R., Baillie G.S., Houslay M.D. p62 (SQSTM1) and cyclic AMP phosphodiesterase-4A4 (PDE4A4) locate to a novel, reversible protein aggregate with links to autophagy and proteasome degradation pathways. Cell. Signal. 2010;22(10):1576–1596. doi: 10.1016/j.cellsig.2010.06.003. [DOI] [PubMed] [Google Scholar]
- 80.Hashemi M., Hosseini A.S., Monjezi S., Hasany S., Binaei S., Nejat M., Melyani H., Bashandeh N., Matinahmadi A., Zayani Z., Orouei S., Bidooki S.H., Raesi R., Farahani N., Entezari M. In: Prostate Cancer: Molecular Events and Therapeutic Modalities. Sethi G., Ashrafizadeh M., Ebrahimi. N., editors. Springer Nature Singapore; Singapore: 2024. Prostate cancer, apoptosis, autophagy and ferroptosis: cell death mechanisms and their cross-talk; pp. 71–107. [Google Scholar]
- 81.Prajapati V., Kale R.K., Singh R.P. Silibinin combination with arsenic strongly inhibits survival and invasiveness of human prostate carcinoma cells. Nutr. Cancer. 2015;67(4):647–658. doi: 10.1080/01635581.2015.1019635. [DOI] [PubMed] [Google Scholar]
- 82.You D., Kim Y., Jang M.J., Lee C., Jeong I.G., Cho Y.M., Hwang J.J., Hong J.H., Ahn H., Kim C.-S. KML001 induces apoptosis and autophagic cell death in prostate cancer cells via oxidative stress pathway. PLOS ONE. 2015;10(9) doi: 10.1371/journal.pone.0137589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Shah P., Trinh E., Qiang L., Xie L., Hu W.Y., Prins G.S., Pi J., He Y.Y. Arsenic Induces p62 expression to form a positive feedback loop with Nrf2 in human epidermal keratinocytes: implications for preventing arsenic-induced skin cancer. Molecules. 2017;22(2) doi: 10.3390/molecules22020194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Pastorek M., Gronesova P., Cholujova D., Hunakova L., Bujnakova Z., Balaz P., Duraj J., Lee T.C., Sedlak J. Realgar (As4S4) nanoparticles and arsenic trioxide (As2O3) induced autophagy and apoptosis in human melanoma cells in vitro. Neoplasma. 2014;61(6):700–709. doi: 10.4149/neo_2014_085. [DOI] [PubMed] [Google Scholar]
- 85.Li J., Lv P., Xiao Z., Xiao J. Protective effects of bioactive compound-derived nanoparticle against diabetic retinopathy through the modulation of the NF-κB signaling pathway. ACS Omega. 2024;9(24):26267–26274. doi: 10.1021/acsomega.4c02066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Martinez-Outschoorn U.E., Goldberg A., Lin Z., Ko Y.H., Flomenberg N., Wang C., Pavlides S., Pestell R.G., Howell A., Sotgia F., Lisanti M.P. Anti-estrogen resistance in breast cancer is induced by the tumor microenvironment and can be overcome by inhibiting mitochondrial function in epithelial cancer cells. Cancer Biol. Ther. 2011;12(10):924–938. doi: 10.4161/cbt.12.10.17780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Chiu H.-W., Lin J.-H., Chen Y.-A., Ho S.-Y., Wang Y.-J. Combination treatment with arsenic trioxide and irradiation enhances cell-killing effects in human fibrosarcoma cells in vitro and in vivo through induction of both autophagy and apoptosis. Autophagy. 2010;6(3):353–365. doi: 10.4161/auto.6.3.11229. [DOI] [PubMed] [Google Scholar]
- 88.Wang G., Zhang T., Sun W., Wang H., Yin F., Wang Z., Zuo D., Sun M., Zhou Z., Lin B. Arsenic sulfide induces apoptosis and autophagy through the activation of ROS/JNK and suppression of Akt/mTOR signaling pathways in osteosarcoma. Free Radic. Biol. Med. 2017;106:24–37. doi: 10.1016/j.freeradbiomed.2017.02.015. [DOI] [PubMed] [Google Scholar]
- 89.Chiu H.W., Lin W., Ho S.Y., Wang Y.J. Synergistic effects of arsenic trioxide and radiation in osteosarcoma cells through the induction of both autophagy and apoptosis. Radiat. Res. 2011;175(5):547–560. doi: 10.1667/RR2380.1. [DOI] [PubMed] [Google Scholar]
- 90.Jiao G., Ren T., Guo W., Ren C., Yang K. Arsenic trioxide inhibits growth of human chondrosarcoma cells through G2/M arrest and apoptosis as well as autophagy. Tumor Biol. 2015;36(5):3969–3977. doi: 10.1007/s13277-015-3040-z. [DOI] [PubMed] [Google Scholar]
- 91.Bessho M., Aki T., Funakoshi T., Unuma K., Noritake K., Kato C., Uemura K. Rho-kinase inhibitor Y-27632 attenuates arsenic trioxide toxicity in H9c2 cardiomyoblastoma cells. Cardiovasc. Toxicol. 2013;13(3):267–277. doi: 10.1007/s12012-013-9206-2. [DOI] [PubMed] [Google Scholar]
- 92.Choi K.S. Autophagy and cancer. Exp. Mol. Med. 2012;44(2):109–120. doi: 10.3858/emm.2012.44.2.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Moomivand S., Nikbakht M., Majd A., Bikhof Torbati M., Mousavi S.A. Combining chemotherapy agents and autophagy modulators for enhanced breast cancer cell death. Adv. Pharm. Bull. 2024;14(4):908–917. doi: 10.34172/apb.42733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Deng Z.-t, Liang S.-f, Huang G.-k, Wang Y.-q, Tu X.-y, Zhang Y.-n, Li S., Liu T., Cheng B.-b. Autophagy plays a pro-apoptotic role in arsenic trioxide-induced cell death of liver cancer. J. Integr. Med. 2024;22(3):295–302. doi: 10.1016/j.joim.2024.03.011. [DOI] [PubMed] [Google Scholar]
- 95.Trocoli A., Djavaheri-Mergny M. The complex interplay between autophagy and NF-κB signaling pathways in cancer cells. Am. J. Cancer Res. 2011;1(5):629–649. [PMC free article] [PubMed] [Google Scholar]
- 96.Huang Y.C., Yu H.S., Chai C.Y. Roles of oxidative stress and the ERK1/2, PTEN and p70S6K signaling pathways in arsenite-induced autophagy. Toxicol. Lett. 2015;239(3):172–181. doi: 10.1016/j.toxlet.2015.09.022. [DOI] [PubMed] [Google Scholar]
- 97.Niu Z., Zhang W., Gu X., Zhang X., Qi Y., Zhang Y. Mitophagy inhibits proliferation by decreasing cyclooxygenase-2 (COX-2) in arsenic trioxide-treated HepG2 cells. Environ. Toxicol. Pharm. 2016;45:212–221. doi: 10.1016/j.etap.2016.06.006. [DOI] [PubMed] [Google Scholar]
- 98.Trachootham D., Alexandre J., Huang P. Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach? Nat. Rev. Drug Discov. 2009;8(7):579–591. doi: 10.1038/nrd2803. [DOI] [PubMed] [Google Scholar]
- 99.Lau A., Zheng Y., Tao S., Wang H., Whitman S.A., White E., Zhang D.D. Arsenic inhibits autophagic flux, activating the Nrf2-Keap1 pathway in a p62-dependent manner. Mol. Cell Biol. 2013;33(12):2436–2446. doi: 10.1128/MCB.01748-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Qi Y., Li H., Zhang M., Zhang T., Frank J., Chen G. Autophagy in arsenic carcinogenesis. Exp. Toxicol. Pathol. 2014;66(4):163–168. doi: 10.1016/j.etp.2014.01.004. [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
Data will be made available on request.





