Skip to main content
Cells logoLink to Cells
. 2020 Apr 16;9(4):992. doi: 10.3390/cells9040992

Hypoxia-Driven Immune Escape in the Tumor Microenvironment

Alyssa Vito 1,, Nader El-Sayes 1,, Karen Mossman 2,*
PMCID: PMC7227025  PMID: 32316260

Abstract

The tumor microenvironment is a complex ecosystem comprised of many different cell types, abnormal vasculature and immunosuppressive cytokines. The irregular growth kinetics with which tumors grow leads to increased oxygen consumption and, in turn, hypoxic conditions. Hypoxia has been associated with poor clinical outcome, increased tumor heterogeneity, emergence of resistant clones and evasion of immune detection. Additionally, hypoxia-driven cell death pathways have traditionally been thought of as tolerogenic processes. However, as researchers working in the field of immunotherapy continue to investigate and unveil new types of immunogenic cell death (ICD), it has become clear that, in some instances, hypoxia may actually induce ICD within a tumor. In this review, we will discuss hypoxia-driven immune escape that drives poor prognostic outcomes, the ability of hypoxia to induce ICD and potential therapeutic targets amongst hypoxia pathways.

Keywords: hypoxia, tumor microenvironment, immunogenic cell death, therapeutics

1. Introduction

Cancer is characterized by uncontrolled cell growth and rapid proliferation. The enhanced cellular kinetics with which cancer cells divide and grow inevitably causes nutrient depletion, as well as an influx of transcription factors and proteins responsible for the induction of hypoxia [1]. The increased proliferative capacity of malignant cells requires constant uptake of oxygen, which is a limiting factor in an oxygen-deprived environment. In response to low oxygen levels in tumors, transcriptional responses upregulate hypoxia-inducible factors (HIFs), transcriptional factors that control the expression of many angiogenic, metabolic and cell cycle genes [2]. While malignant cells are able to continue to grow and even thrive in the resultant hypoxic microenvironment, it creates inhospitable conditions for immune cells and dampens the response of key regulatory pathways, resulting in immunosuppression [3]. Interestingly, while it is well established in the literature that hypoxia contributes to a diminishing immune response [4,5,6], it has also been shown to simultaneously play an immunostimulatory role, as the consequential pro-inflammatory environment lends to cells dying in an immunogenic manner [7]. This paper discusses the complex and opposing roles of hypoxia signaling in driving immune escape, promoting tumor growth and metastatic potential, while also enhancing certain immunogenic features of the tumor microenvironment (TME).

The ability of the immune system to recognize malignant cells as foreign entities and clear them from the body has been the springboard for a wave of innovative immunotherapies that have revolutionized the way we think about treating cancer patients. As we focus on the development of new and improved therapies that can harness the potential of the immune system to detect and kill tumors, we also begin to better understand the multi-faceted biology and interactions associated with the TME. The TME is composed of immune cells, endothelial cells, fibroblasts and various signaling molecules such as chemokines [8]. The push and pull between pro- and anti-tumorigenic signaling pathways create a challenging environment to study, treat and fully understand. Add to this the individual characteristics of different cancer phenotypes and the goal of identifying overarching, unifying concepts that will apply to many cancers becomes even more difficult. Hypoxia has been shown to be universally associated with many tumor types as the natural metabolic profile of an evolving tumor is characterized by critical oxygen depletion, extracellular acidosis, elevated levels of adenosine and lactate and deprivation of essential nutrients [1]. Additionally, hypoxia contributes to intratumoral heterogeneity, metastatic progression, genetic instability, angiogenesis and the evolution of therapy-resistant clones [1,8]. For this reason, it is apparent why so many researchers have sought to target hypoxia pathways to mitigate immunosuppression and improve therapeutic outcomes.

2. Hypoxia Signaling and Metabolism

2.1. HIF Signaling Pathways

Hypoxia signaling in the TME involves complex pathways and processes. At the core, the cellular response to hypoxia is mediated by two master regulators that comprise a heterodimeric complex. This complex, formed by a constitutively expressed nuclear HIF-1β and a cytoplasmic oxygen-dependent HIF-α (HIF-1α, HIF-2α and HIF-3α), is further stabilized by a group of oxygen- and iron-dependent enzymes known as HIF-prolyl hydroxylase domain enzymes (PHD1-3) [9]. Under normative conditions, PHDs hydroxylate two prolyl residues of the HIF-α subunit, initiating binding of the Von Hippel-Lindau tumor-suppressor protein (pVHL) and subsequent ubiquitination and proteasomal degradation. However, under hypoxic conditions, PHDs are suppressed and HIF-α subunits translocate into the nucleus to bind with HIF-1β. The heterodimeric HIF-α:HIF-1β transcription factor complex then locates to the hypoxia-responsive elements (HREs) of its target genes, resulting in their transcriptional upregulation (Figure 1).

Figure 1.

Figure 1

Hypoxia-inducible factor (HIF) signaling pathway.

There are three HIF-α subunits: HIF-1α, HIF-2α and HIF-3α. Of the three subunits, HIF-1α and HIF-2α are the most well studied and share 48% of their amino acid sequence, with similar protein structures [10]. Interestingly, even with their extreme similarities, these two subunits are non-redundant to one another and have both overlapping and distinct target genes and mechanisms of regulation (Figure 2). In one study, Holmquist-Mengelbier et al. demonstrated that the difference between the two subunits lies not only in the genes in which they transcribe, but also in the conditions under which they are stabilized [11]. They propose a temporal shift in HIF utilization, where HIF-1α appears to be most active during the acute phase of hypoxic adaptation and HIF-2α dominates during later, chronic phases of hypoxia. Further to the genetic differences at the transcriptional level between the two subunits, HIF-2α has been identified as the endothelial Per-Arnt-SIM (EPAS1) domain, an endothelium-specific HIF-α isoform suggested to have a more specialized function. Peng and colleagues have shown that EPAS1 plays an important role in controlling vascular remodeling and that the protein level of EPAS1 is regulated by oxygen tension, where hypoxia induces stabilization of the protein [12]. Additionally, Bangoura et al. demonstrated that EPAS1 overexpression is directly correlated with tumor size, vascular endothelial growth factor (VEGF) expression and initiation of angiogenesis [13].

Figure 2.

Figure 2

Overlapping and distinct target genes and pathways for HIF-1a and HIF-2a.

2.2. Metabolic Changes in the TME under Hypoxic Conditions

It is well established that a hypoxic TME is characterized by increased concentrations of lactic acid, due to the “Warburg effect”—the metabolic shift occurring in highly proliferating cells that convert glucose to lactate, even in the presence of oxygen (aerobic glycolysis). During this process, cancer cells predominantly obtain their energy through the glycolytic pathway, rather than the tricarboxylic acid (TCA) cycle (Figure 3). This phenomenon seems inefficient at first glance, due to the fact that glycolysis only produces 2 ATP per molecule of glucose, whereas the TCA cycle is able to produce 36 ATP. However, the glycolytic pathway has significantly faster kinetics, meaning that it can produce a comparable amount of ATP during the same amount of time [14]. This metabolic reprogramming conserves nutrients for synthesis of nucleic acids, lipids and amino acids to support cellular growth, rather than being oxidized in the mitochondria for maximal output of ATP [15,16,17,18]. Further to this, a high rate of glycolysis leads to increased lactate production, which ultimately results in TME acidosis, altering the tumor stroma and increasing invasive potential.

Figure 3.

Figure 3

Cancer cell metabolism under hypoxic and normoxic conditions.

Studies have shown that oxygen can act as a direct regulator of PHD activity and that CO2 production during mitochondrial respiration through the TCA cycle can also suppress HIF activity [19]. While the exact mechanism for HIF suppression is not well elucidated, many studies suggest that acidification inhibits synthesis of the mammalian target of rapamycin (mTOR), a protein kinase that is a core regulator of cellular processes [20]. Indeed, hypoxia inhibits downstream signaling and mRNA translation initiation of mTOR, resulting in tumor progression and hypoxia tolerance in advanced tumor settings. Prolonged hypoxic exposure can also lead to endoplasmic reticulum (ER) stress, which activates the unfolded protein responses (UPR). Similar to mTOR signaling, this hypoxia-induced cascade results in several downstream effector pathways that function together to promote hypoxia tolerance. Ultimately, hypoxia-mediated signaling through mTOR and the UPR can have profound influences on gene expression and cellular behavior [9].

3. Hypoxia and the Immune System

In hypoxic regions in the TME, cancer cells are able to adapt and support cellular growth and proliferation through the production of metabolic intermediates that can act as precursors for biosynthetic pathways. However, these oxygen-deprived conditions have been shown to reduce activation levels of tumor-infiltrating lymphocytes (TILs), resulting in immunosuppression and evasion of immune detection [3]. Long proposed as a viable pathway to target for immunostimulatory therapies, many researchers have developed therapeutic pathways for blocking hypoxia-associated transcription factors. In particular, upregulation of HIF-1α has been heavily implicated in cancer biology [21] and is shown to affect varying aspects of the anti-tumor immune response, including the differentiation and function of immune cells within the TME [1]. There are many different immune cell populations that are key to mounting an effective anti-tumor immune response. Disruption of any of these cellular populations can shift or diminish the immune response, allowing tumors to evade detection and escape immune-mediated killing. In this section, we will review some key immune populations and how their functions are altered under hypoxic conditions (Table 1).

Table 1.

Changes in immune cell phenotypes and secretome during hypoxia.

Cell Type Changes in Function and Secretome References
DCs ↓ Antigen uptake [22,23]
↓ CD1a, CD40, CD80, CD83, CD86, MHC class II
Macrophages ↓ M1 phenotype [27,28,29]
↑ M2 phenotype
↓ IL-2
↑ IL-4, IL-10, IL-13
B cells ↑ Development [34,35]
↑ IL-10
T cells ↓ Cytotoxic function [41,44,48]
↑ Anergy
↑ Treg expansion
↑ Memory function
↑ Antibody production
↑ PD-1
NK cells ↓ Cytolytic activity [51,52]
↑ VEGF
MDSCs ↑ Differentiation and function [55,56,59]
↑ Recruitment to tumor site
↑ Extracellular remodeling

3.1. Dendritic Cells

Dendritic cells (DCs) represent a heterogenous population of immune cells that infiltrate the TME to process and present antigens to naïve T cells. While DCs are only one of many antigen-presenting cell types, they are a key link between the innate and acquired immune response, as they are involved in the initiation of both stages of immunity. While DC maturation is unaffected in hypoxic conditions, their differentiation and function are heavily altered. Giovarelli and colleagues have shown that hypoxia inhibits antigen uptake by DCs, changes the DC chemokine expression profile and has profound effects on DC differentiation, adaptation and activation in inflamed tissues such as tumors [22]. This is corroborated by another report demonstrating hypoxia-induced downregulation of a variety of DC differentiation and activation markers, including CD40, CD80 and MHC class II [23]. DCs are also key components of the immunostimulatory cascade and an integral part of generating an immunogenic cell death (ICD)-mediated anti-tumor immune response [24]. For this reason, environmental factors influencing DC function may also change the natural “immunogenicity” of a tumor and, in turn, shift the mechanism of cell killing to be tolerogenic in nature.

3.2. Macrophages

Macrophages represent key regulators of the complex relationship between the immune system and cancer. In particular, increased levels of tumor-associated macrophages (TAMs) has been implicated in immunosuppression, neovascularization, metastasis and poor responses to cancer therapies [25]. In contrast to these pro-tumorigenic functions, macrophages may also be essential mediators in immune defense, contributing to an effective anti-tumor immune response. These polarizing functions of a singular cell type can be attributed to the fact that macrophages have high levels of plasticity and, as such, their differentiation relies heavily on the microenvironment in which they are found [26]. There are two main types of tissue macrophages: classical M1 and the alternative M2 phenotype. In general, macrophage responses are shaped by the type, each with their own unique actions. Macrophages that are able to function as effector molecules for pathogen recognition and killing are generally M1-like, characterized by the generation of reactive oxygen species (ROS) and nitric oxide (NO), as well as the expression of high amounts of IL-2 and low levels of IL-10 [27]. Alternatively, cytokines such as IL-4, IL-13 and IL-10 can induce macrophages to effectively execute anti-inflammatory, pro-tumorigenic and pro-angiogenic (M2-like) features [27]. Upon assessment of TAMs found specifically in hypoxic niches within the tumor, researchers have found an aggressive M2 phenotype capable of mediating resistance to many anticancer therapies [28]. Similarly, clinical studies of the histological localization of TAMs have demonstrated a clear correlation between TAM infiltration in hypoxic/necrotic tumor niches and worse prognostic outcomes [29].

3.3. B Cells

The humoral immune response relies on the production of antibodies by B lymphocytes and their progeny, plasma cells. While B cells are primarily known for their crucial role in antibody production, they also stimulate the release of a variety of cytokines and contribute to immunomodulatory responses [30,31]. Defects in the B cell development process can lead to immunodeficiency, autoimmunity or malignancy. While not fully understood or well characterized, the significance of hypoxia-mediated channels, and specifically HIF-1α, to B cell developmental and signaling pathways is well established in the literature [32,33]. Studies have shown that HIF-1α is required for hypoxia-induced cell cycle arrest and the absence of HIF-1α in lymphoid tissues of chimeric mice causes disruption of B cell development [34]. HIF-1α also plays a key role in controlling B cell protective activity in autoimmune diseases and in driving IL-10 production [35].

Germinal centres (GCs) are well established and studied as the main sites where antigen-activated B cells expand and undergo hypermutation and selection [36]. This process plays a key role in the presentation of antigens on follicular DCs and associated responses to immunotherapy treatments. A recent study published by Jellusova et al. demonstrated that GC B cells increase glycolysis through HIF during metabolic adaptation to hypoxic conditions [37]. They further identified a metabolic sensor, glycogen synthase kinase 3 (Gsk3), as being required for the generation and maintenance of GC B cells, which require high glycolytic activity to support growth and proliferation in a hypoxic TME [37]. Caro-Maldonado and colleagues have shown that B cell-specific deletion of the glucose transporter Glut1 resulted in decreased B cell proliferation and impaired antibody production [38], further highlighting the need for increased glycolysis to maintain B cell activity in hypoxic microenvironments. In the context of malignant conditions, tumor-associated B cells have been identified as key drivers of the sustained inflammation necessary for therapeutic efficacy [39]. This emphasizes the importance for HIF-1α-B cell interactions in the TME. Overall, as the significance of B cells in mediating responses to immunotherapies gains increasing prominence in the literature, so too does the need to better understand the relationship between hypoxia factors and B cell developmental processes and functions.

3.4. T Cells

T cells are a type of lymphocyte that develop in the thymus gland and play a central role in the adaptive immune response. During the maturation process, T cells differentiate into CD4+ helper T cells and CD8+ cytotoxic T cells. Stimulation of CD4+ T cells in the TME causes further cell differentiation into the different subpopulations Th1, Th2, Th17 or Treg (regulatory T cells) [40]. The function of T cells in humoral immunity includes critical interactions between B cells and activated extrafollicular CD4+ T cells. Well established as a mainstay of GC architecture, hypoxia drives response mechanisms and T cell function in response to the generation of antibodies. In particular, depletion of HIF-1α from CD4+ T cells has been shown to reduce frequencies of antigen-specific GC B cells, follicular T helper (Tfh) cells and antigen-specific antibodies [41].

In a resting state, naïve T cells require low amounts of glucose, amino acids and fatty acids to sustain basic energy requirements. However, activated T cells require markedly increased energy to fuel the synthesis of macromolecules, intracellular mediators and effector cytokines. This increased energy consumption requires metabolic reprogramming in which active T cells increase glucose and glutamine catabolism for nucleotide and lipid synthesis, while oxidative phosphorylation is maintained for production of ATP [42]. Additionally, T cell receptor (TCR)-CD28 co-stimulation triggers the shift from naïve to effector T (Teff) cells partially through the mTOR pathway and activation of HIF-1α. This promotes glycolytic gene expression and post-translational modification that is an essential driver of aerobic glycolysis and amino acid metabolism in Teff cells [43]. Glycolic inadequacies during metabolic reprogramming can result in T cell anergy or the shunting of potential Teff cells to the Treg lineage [44].

Hypoxic TMEs and HIF-1α can directly affect the frequency of CD8+ T cells in the TME, leading to immunosuppression due to a lack of cytotoxic cells. Additionally, high lactate levels in the TME have been shown to suppress the mTOR pathway, inhibiting glycolysis and resulting in impaired T cell function [45]. Glycolysis inhibition is also associated with an increased expression of the inhibitory receptor programmed death-1 (PD-1), which is correlated with T cell exhaustion and non-responsiveness, aiding in tumor immune escape [46]. Interestingly, hypoxia can also contribute to an immunostimulatory function, as T cells that survive in hypoxic niches have actually been shown to display increased cytolytic activity [47]. HIF-1α has been shown to play a role in memory CD8+ T cells, which persist beyond the initial immune response, outlasting their terminally differentiated effector counterparts. Similar to naïve T cells, memory CD8+ cells are quiescent in nature. They can, however, traffic to a diverse range of tissues and mount a rapid response against future antigenic re-challenge. This increase in functional kinetics is characterized by an immediate metabolic transition towards a reliance on aerobic glycolysis, dependent on the phosphatidylinositol-3-kinase/protein kinase B (PI3K/Akt) signaling pathway. Interestingly, Sukumar and colleagues have shown that while inhibition of glycolysis (and, in turn, inhibition of HIF-1α expression) led to shortened effector function, it concomitantly enhanced the generation of memory cells and anti-tumor functionality [48].

3.5. Natural Killer (NK) Cells

NK cells are a class of cytotoxic innate lymphoid cells with potent anti-tumor activity. They possess a broad array of receptors that can recognize ligands induced by tumor formation, cellular stress and DNA damage [49]. Through these receptor recognitions, NK cells are able to direct their lytic machinery to target and eliminate malignant cells in the body. NK cells also release many pro-inflammatory cytokines and chemokines that can aid in amplifying an anti-tumor immune response [49]. In hypoxic niches, NK cells undergo significant metabolic reprogramming that alters their phenotypic and functional responses. Balsamo et al. have shown that hypoxia can downregulate expression and function of most NK cell receptors that are directly responsible for exerting cytolytic activity against tumor cells [50]. In an interesting study, Krzywinska and colleagues demonstrated that HIF-1α depletion impairs NK cell function and tumor growth. This finding was in direct correlation with decreased levels of VEGF, identifying NK cells as an inhibitor of angiogenesis in response to hypoxic conditions [51]. Further data has illustrated that activation of the PI3K/mTOR signaling pathway is critical for HIF-1α upregulation in NK cells, providing a molecular basis for reduced NK cell functions [52].

3.6. Myeloid-Derived Suppressor Cells (MDSCs)

One of the most well-studied yet poorly understood immune populations is that of MDSCs. MDSCs are bone marrow-derived myeloid progenitors and one of the largest contributors to immunosuppression in the TME. As well as directly suppressing T cells, NK cells and DCs, they also aid in evasion of immune detection. MDSCs normally differentiate into granulocytes, macrophages or DCs [53], but in abnormal pathological conditions such as cancer they have been shown to maintain their undifferentiated state and rapidly undergo expansion [54]. Corzo et al. detailed the role of hypoxia pathways in MDSCs and showed that HIF-1α is responsible for MDSC differentiation and function in the TME [55]. Additionally, hypoxia can enhance MDSC migration to the tumor site directly via HIF-1α-mediated chemokine production [56]. Chiu and colleagues eloquently demonstrated hypoxia as a central driver of MDSC accumulation in tumors through their secretion of various chemokines such as CCL26 [57]. In a follow-up study, Chiu and colleagues further showed that knockdown of CCL26 profoundly reduces MDSC recruitment, angiogenesis and tumor growth [58]. Hypoxia also aids in MDSC-driven metastasis by influencing the seeding of MDSCs in the pre-metastatic niche through secretion of lysyl oxidase [59]. This process is a key component in the development of metastatic lesions. This highlights the detrimental effects hypoxia can have in promoting these highly immunosuppressive, pro-tumorigenic cell types.

4. Hypoxia and Immunogenic Cell Death

Since the initial descriptions of cell death dating back to the mid-19th century [60], researchers have abandoned the singular postulation that cell death is a uniform, regulated process that serves only in the maintenance of homeostatic conditions and goes undetected by the immune system. Instead, as new, unique forms of cell death have been identified and described in the literature, researchers have begun to delve deeper into the associated biology of each type and, in particular, their quantifiable functional features [61,62,63]. A good example of this paradigm shift in classification is the streamlined and well-studied process of apoptosis. Though apoptosis has historically been thought to be an “immune-quiet” form of cell death, more investigation in recent years has shown that apoptotic cells can in fact be detected by the immune system and elicit an antigen-specific adaptive immune response [64,65,66,67].

ICD is a form of cell death characterized by the chronic release of damage-associated molecular patterns (DAMPs) in the TME [64,68]. Hallmarks of classic ICD include the release of immunomodulatory molecules such as high mobility group box 1 (HMGB1) and adenosine triphosphate (ATP) and surface expression of calreticulin (CR). The quantity of these DAMPs in the TME correlates closely with the “immunogenicity” of a tumor and, in turn, its ability to kill cells through bona fide ICD. Currently, the gold-standard strategy used to evaluate the ability of a specific stimulus to cause true ICD relies on vaccination assays [60,64]. In brief, cancer cells are exposed in vitro to the stimulus and dying cells are inoculated subcutaneously into the flank of immunocompetent mice, prior to tumor implantation with live cells of the same type. Mice are monitored for tumor growth and the number of mice that do not develop tumors is a direct reflection of the degree of immunogenicity of cell death induced by the chosen stimulus [60].

CR, a resident chaperon protein predominantly located in the endoplasmic reticulum (ER), is of particular interest when it comes to hypoxia. Han and colleagues recently showed that hypoxia induces cell surface exposure of CR in human and murine breast cancer cell lines, in an ER stress-dependent manner [7]. In line with these findings, Olin and colleagues hypothesized that reducing oxygen tension when culturing tumor cells would increase the efficacy of tumor cell lysate vaccines [69]. Indeed, upon vaccinating mice bearing orthotopic glioma and breast carcinoma with lysates cultured in 5% O2 (as opposed to the regular level of 20%), mice survived significantly longer, displayed enhanced antigen-specific T cell activation and increased cross-presentation of exogenous antigens. To our knowledge, this is the first paper to eloquently demonstrate the use of tissue culture oxygen levels as an “immunologic switch” to dictate the cellular and humoral immune responses elicited by tumor cell lysates [69]. As a follow up to their initial studies, Olin et al. further investigated the effects of physiological oxygen levels in the development of tumor vaccines, this time assessing DCs as a viable vaccination platform. They showed that gene expression patterns in primary glioma cultures established at 5% O2 more closely resembled patient tumors in situ and known immunogenic antigens were more highly expressed. Furthermore, DCs treated with tumor lysates generated from primary tumor cells cultured in 5% O2 showed improved antigen-presentation capabilities and increased CD8+ T cell tumoricidal activity [70]. In these novel reports, Olin and colleagues have inadvertently demonstrated that physiological oxygen levels induce ICD, as shown through the gold-standard vaccination assay.

Photodynamic therapy (PDT) has also been demonstrated to kill cancer cells through the manipulation of oxygen levels to generate ROS, which induces ER stress-mediated anti-tumor immunity and even the killing of distant metastatic lesions [71,72,73]. Conversely, many studies have shown low levels of oxygen in the TME to be a deterrent to efficacious outcomes with PDT [74,75]. In an effort to switch the effects of a hypoxic TME on PDT, Chen and colleagues developed a hybrid protein oxygen nanocarrier with chlorine e6 (a photosensitizer with anti-tumor activity) encapsulated (C@HPOC) for oxygen self-sufficient PDT. C@HPOC relieved tumor hypoxia, showed increased efficiency over PDT alone and increased infiltration of tumor-infiltrating CD8+ T cells. Additionally, in 4T1 murine breast tumor cells, C@HPOC-mediated PDT successfully enhanced ICD through the increased exposure of CR as well as secretion of HMGB1 and ATP [76].

Hypoxia can interfere with a variety of homeostatic regulators within cells, including the UPR and autophagy. Autophagy is of particular interest, as it contributes to the expression of ICD-associated damage-associated molecular patterns (DAMPs), such as CR [77,78]. The role of hypoxia in regulating the UPR and autophagy is quite controversial, with several reports indicating that hypoxia can inhibit or induce autophagy. Indeed, some reports find that hypoxia can induce autophagy in an mTOR-independent manner [79,80]. This supports the notion that hypoxia may potentiate ICD through autophagy-mediated release of DAMPs, DC maturation and the subsequent release of tumor-associated antigens [77]. On the other hand, some reports show that hypoxia prevents autophagy through inhibition of the mTOR pathway [81,82]. One study performed by Li et al. demonstrates enhanced CR expression upon inhibition of late-stage autophagy [83]. It will be important for future studies to elucidate the effects of hypoxia on autophagy within the TME and identify potential immunostimulatory effects that can be exploited for use as immunotherapies.

While hypoxia is generally associated with worse prognostic outcomes, selective studies have also shown that oxygen-deprived TMEs create the inflammatory setting conducive to cells dying via ICD. This finding, while not extensively studied in the literature, highlights the complexity of hypoxia-mediated changes in the TME and the importance of addressing the opposing pro- and anti-tumorigenic nature of hypoxia-driven pathways.

5. Hypoxia-Mediated Therapeutic Resistance

As seen with chemotherapy, resistance to immunotherapy can arise in many forms of cancer. Primary resistance can be seen in patients who do not respond to treatment, indicating the inability to generate a robust anti-tumor immune response. However, even when patients respond to therapy, acquired resistance can occur, in which patients relapse after a period of tumor regression. Both primary and acquired resistance can occur as a result of tumor cell intrinsic and extrinsic factors, as described by Sharma et al. [84]. Examples of tumor cell intrinsic factors include the ability of some cancer cells to alter pathways involved in antigen presentation, thereby preventing the initial priming of an anti-tumor response. The most straightforward example of tumor cell extrinsic factors comes in the form of immunosuppressive cells within the TME, including Tregs and MDSCs, which were discussed previously. In this section, we will discuss the role of hypoxia in mediating both primary and acquired forms of resistance to cancer immunotherapy, which can be either intrinsic or extrinsic to the cancer cells.

5.1. Hypoxia-Mediated Primary Resistance

As described above, one of the most prominent mechanisms of primary resistance to immunotherapy is the alteration of antigen presentation pathways. Indeed, downregulation of MHC class I (MHC-I) expression and other antigen presentation machinery is a common strategy developed by malignant cells to avoid detection by the immune system [85,86,87]. Several reports have demonstrated how hypoxia can mediate the downregulation of MHC-I in malignant cells [88,89,90]. In one such report, Marjit and colleagues show that the combination of hypoxia and glucose deprivation prevents interferon gamma (IFNγ)-mediated upregulation of MHC-I in B16F10 and TC1 murine cancer cells [91]. This is a result of disrupted IFNγ-mediated phosphorylation of signal transducer and activator of transcription 1 (STAT1), thereby preventing the transcription of its target molecules, including MHC-I and transporter associated with antigen processing 1 (TAP1). Furthermore, PI3K was highly activated under hypoxic/glucose-deprived conditions, and inhibition of PI3K using small molecule inhibitors restored antigen presentation and CD8+ T cell recognition of both B16F10 and TC1 cell lines [91]. Similar studies have demonstrated how hypoxia causes the downregulation of MHC-I, TAP1/2 and LMP7 in human renal carcinoma cells in a HIF-dependent manner [88]. Another well-known mechanism of primary resistance to immunotherapy is the upregulation of immune checkpoint molecules on tumor cells. One such immunosuppressive molecule, programmed death-ligand 1 (PD-L1), binds to the inhibitory programmed death 1 (PD-1) receptor on T cells and inhibits their activation and cytotoxic functions [92]. Interestingly, PD-L1 is now considered to be a target gene of HIF-1α and HIF-2α, indicating a crucial role of intratumoral hypoxia in the regulation of this immunosuppressive ligand [93,94,95,96]. One study demonstrated that PD-L1 levels decreased in 786-O human renal carcinoma cells upon HIF-2α siRNA knockdown. Furthermore, PD-L1 expression was highly upregulated in cells with HIF-2α overexpression [97]. This observation, however, is not limited to cancer cells within the TME. A study spearheaded by Noman et al. found that hypoxia significantly increases PD-L1 expression on MDSCs, macrophages, DCs and tumor cells in the TME [94]. This upregulation was shown to be dependent on HIF-1α, but not HIF-2α [94]. The discrepancies between studies indicate that the roles of HIF-1α and HIF-2α in mediating PD-L1 expression may depend on the cell type and type/location of the tumor. Future research should focus on delineating the role of these transcription factors in regulating PD-L1 expression in different tumor models. Another immune checkpoint molecule, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), is expressed on activated T cells and inhibits T cell activation when bound to its ligand, CD86, on antigen-presenting cells (APCs) such as DCs [98,99]. Similar to PD-L1, hypoxia has been shown to upregulate the expression of CD86 on DCs in a HIF-1α-dependent manner [100]. As mentioned previously, it is well known that hypoxia can shift the metabolic state within a tumor. Several reports have shown that cancer cells can adapt their metabolism to thrive under hypoxic conditions, allowing cancer cells to metabolically outcompete tumor-infiltrating T cells for glucose, resulting in the inhibition of T cell activity and increased cancer progression [101,102]. Indeed, the metabolic stress in the TME can negatively impact the immune functions of several immune cells in the tumor, including T cells, macrophages and MDSCs [9]. These studies imply that the HIF transcription factors may be suitable therapeutic targets for preventing immunosuppression in the TME, a concept that will be further discussed later in this review.

5.2. Hypoxia-Mediated Acquired Resistance

Resistance to immunotherapy can still arise in patients who briefly respond to therapy. This form of acquired resistance can often be attributed to tumor heterogeneity. In the case of immunotherapy, response against specific antigens exerts selective pressure towards antigen-loss cancer cells over time, a concept termed antigen escape [103]. This phenomenon has been observed in patients with triple-negative breast cancer (TNBC) during neoadjuvant chemotherapy (NAC), in which TNBC persisted after treatment in half of the patients. Upon further analysis using single-cell DNA and RNA sequencing, the data indicated that the resistant clones were pre-existing and adaptively selected by NAC [104]. Similar findings were seen in patients with stage IV melanoma treated with adoptive T-cell transfer [105], and even in murine models harboring B16 melanoma tumors [106]. As with other forms of resistance, there is accumulating evidence that hypoxia can potentiate intratumoral heterogeneity. The expression of genes involved in mismatch repair and homologous recombination are downregulated under hypoxic conditions [107,108,109]. This, in turn, can drive genomic instability and mutagenesis which can increase the probability of creating resistant clones [110,111,112]. Aside from generating resistant clones in the primary tumor, genomic instability can also result in the formation of metastasis. HIF-1α is heavily associated with metastasis formation and has been shown to drive several steps of metastasis, including epithelial-mesenchymal transition (EMT), invasion and extravasation [113]. One report investigating the invasion and metastasis of esophageal carcinoma Eca109 cells shows that HIF-1α inhibits the tumor suppressor E-cadherin and upregulates the expression of matrix metalloproteinase-2 (MMP-2), a protein involved in enabling the migration of cells from the primary tumor to sites of metastasis [114]. Another, similar study performed by Zhao et al. finds that the actin-binding protein LIM and SH3 domain protein 1 (LASP1) is upregulated by HIF-1α and is critical for metastasis formation of several human pancreatic cancer cell lines [114]. Angiogenesis is also essential for the dissemination and establishment of tumor metastases, since the ability of metastatic clusters to access blood vessels allows for their migration [115,116]. One of the key roles of HIF-1α includes its regulation of angiogenic factors such as vascular endothelial growth factor (VEGF). HIF-1α has been shown to drive VEGF-mediated angiogenesis within the TME in a variety of cancers, including ovarian, pancreatic and breast cancers [117,118,119,120]. Furthermore, HIF-1α-mediated proangiogenic signaling is not limited to cancer cells, and can occur in other cell types within the TME, including cancer-associated fibroblasts (CAFs) [121].

Based on the studies highlighted in this section, hypoxia and HIF transcription factors heavily contribute to different forms of resistance to immunotherapy (Figure 4). This is in line with studies that correlate high HIF expression with poor prognostic outcomes in several cancers [122,123,124]. Altogether, selective targeting of HIF in tumors is an attractive therapeutic approach that may bolster immunotherapeutic agents and prevent hypoxia-mediated resistance to immunotherapy.

Figure 4.

Figure 4

Hypoxia-mediated changes in the tumor microenvironment (TME) that can drive resistance to immunotherapy.

6. Hypoxia-Targeted Immunotherapies

6.1. Strategies for Targeting Hypoxia-Induced Pathways

The concept of targeting hypoxia-induced pathways as a cancer therapy is well established [125,126,127,128,129]. Indeed, several candidates for HIF inhibitors are currently being tested in phase I and phase II clinical trials as cancer therapeutics [130]. Most hypoxia-targeting therapies, however, are focused on disrupting metabolism and angiogenesis in the tumor to suppress tumor progression and the formation of metastasis [131,132]. Unfortunately, HIF inhibitors have poor selectivity, and so therapies often involve inhibition of downstream pathways or the use of hypoxia-activated prodrugs. In this section of the review, we will discuss the potential of targeting hypoxia-mediated pathways to potentiate cancer immunotherapy. As discussed previously, hypoxia has been shown to mediate many forms of resistance to immunotherapy. This provides good rationale for combinatorial approaches for immunotherapy and inhibition of HIF pathways.

Hypoxia can play an important role in the regulation of immunosuppressive molecules and the activation of immunosuppressive cells such as Tregs and MDSCs. Therefore, reducing hypoxia in the tumor may prevent suppression of an anti-tumor immune response. Indeed, a few promising pre-clinical studies support the potential for combinatorial therapies involving immunotherapy and hypoxia-based therapies. One such study includes the use of the hypoxia-activated prodrug, TH-302. This study demonstrates that TH-302 reduces hypoxia in a murine prostate tumor model, and can cure up to 80% of tumor-bearing mice when combined with immune checkpoint inhibitors [130]. Furthermore, the combination reduced MDSC density in the tumor by 50% [130]. Another example published in Nature Communications describes the HIF-1-mediated expression of ectoenzyme, ectonucleoside triphosphate diphosphohydrolase 2 (ENTPD2), which promotes the maintenance of MDSCs in a murine hepatocellular carcinoma model [130]. The combination of ENTPD2 inhibitors and immune checkpoint inhibitors significantly increased the infiltration of T cells into the tumor and prolonged survival of tumor-bearing mice, when compared to using immune checkpoint inhibitors alone [130]. Another group reduced intratumoral hypoxia using the type II diabetes drug, Metformin, and found that combination with PD-1 blockade improved anti-tumor T cell function and tumor clearance in B16 and MC38 murine tumor models [130].

Inhibition of HIF transcription factors can also be achieved by targeting the PI3K/AKT/mTOR pathways [133,134,135]. Molecular regulators of mTOR, such as Tuberous sclerosis complex 2 (TSC2) have been implicated in HIF-1α. TSC2 knockouts resulted in increased HIF-1α accumulation and the upregulation of HIF-induced genes such as VEGF. Interestingly, the mTOR inhibitor, rapamycin, reduced HIF-1α levels in TSC2 knockouts, although only partially reducing VEGF levels [134]. Other studies have found that the PI3K/AKT/mTOR pathways play a role in the regulation of PD-L1 in several murine cancer models, including non-small-cell lung cancer [136], colorectal cancer [137], pancreatic cancer [138] and breast cancer [139]. Furthermore, both rapamycin and the AKT inhibitor, MK-2206, inhibit the expression of PD-L1 in breast cancer cells [139], although it is unclear if this regulation occurs in a HIF-dependent manner. Other strategies include targeting factors downstream of HIF-1α, such as VEGF, to reduce immunosuppression and sensitize cells to immunotherapy [140]. One study in PNAS demonstrated that low doses of anti-VEGF2 antibody polarizes TAMs from their immunosuppressive M2 phenotype into an immunostimulatory M1 phenotype. This results in improved tumor infiltration of CD8+ and CD4+ T cells [141].

6.2. Considerations for Targeting Hypoxia-Induced Pathways

While targeting hypoxia-induced pathways in combination with immunotherapies is an attractive approach, it should be carefully considered, as some immunotherapies may benefit from the hypoxic conditions within the TME. Oncolytic viruses are gaining traction as a promising form of immunotherapy, with an FDA-approved oncolytic Herpes Simplex Virus-1 (HSV-1) already available as a first-line treatment for melanoma in North America. One study demonstrates that oncolytic HSV-1 replicates more efficiently in hypoxic tumors, and that oxygenation of subcutaneous tumors in mice results in reduced replication in the tumor [142]. This study is corroborated by a similar finding in which hypoxic conditions promoted the replication of oncolytic HSV-1 in otherwise resistant breast cancer cells [143]. Interestingly, the effect of hypoxia on therapeutic efficacy with oncolytic virotherapy depends on the virus. For example, oncolytic adenovirus replication is hampered under hypoxic conditions, while oncolytic HSV-1 replication is enhanced under hypoxic conditions. Oncolytic Vaccinia virus demonstrates improved cytotoxicity in hypoxic cancer cells, but has no increase in transgene expression [144]. Some studies have also demonstrated that inhibition of the mTOR pathway can also be detrimental for immunotherapy. Rapamycin and other mTOR inhibitors may have immunosuppressive effects on a variety of immune cells. This includes reduced activation and antigen presentation by dendritic cells [145,146,147], reduced CD8+ T cell infiltration into the tumor [148], and increased Treg expansion [149,150].

Therefore, pre-clinical data provides promising evidence for the potential of targeting hypoxia-induced pathways in combination with immunotherapy. However, such combinations must be carefully considered. It is pertinent that future research focuses on the effects of targeting hypoxia when combined with different forms of immunotherapy. While there is potential for reducing hypoxia-mediated resistance to immunotherapy, some therapies may be hampered in oxygenated tumors, resulting in reduced therapeutic efficacy.

7. Conclusions

The TME is a complex network composed of immune cells, endothelial cells, fibroblasts and various signaling molecules. While scientific literature and clinical studies predominantly address the immunosuppressive nature of hypoxia-driven pathways, they often fail to acknowledge the potential of the resultant inflammatory microenvironment to promote cells dying via bona fide ICD. In this review, we have objectively assessed the role of hypoxia in both pro- and anti-tumorigenic pathways and identified ways in which hypoxia-mediated therapeutic resistance may be overcome. Furthermore, we have highlighted current strategies for targeting hypoxia with immunotherapy treatments. Development of future immunotherapy platforms targeting hypoxia signaling pathways should take into consideration not only the immunosuppressive nature of hypoxia, but also the potential to increase ICD through hypoxia-mediated inflammation.

Acknowledgments

Research in the Mossman lab is funded by the Canadian Cancer Society Research Institute, the Canadian Institutes for Health Research and the Terry Fox Research Institute. A.V. holds a Vanier Canada Graduate Scholarship while N.E.-S. holds an Ontario Graduate Scholarship.

Author Contributions

A.V. and N.E.-S. conceived of and wrote the review. K.M. reviewed and edited the review. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Multhoff G., Vaupel P. Advances in Experimental Medicine and Biology. Vol. 1232. Springer; Berlin, Germany: 2020. Hypoxia compromises anti-cancer immune responses; pp. 131–143. [DOI] [PubMed] [Google Scholar]
  • 2.Krock B.L., Skuli N., Simon M.C. Hypoxia-Induced Angiogenesis: Good and Evil. Genes Cancer. 2011;2:1117–1133. doi: 10.1177/1947601911423654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chen L., Endler A., Shibasaki F. Hypoxia and angiogenesis: Regulation of hypoxia-inducible factors via novel binding factors. Exp. Mol. Med. 2009;41:849–857. doi: 10.3858/emm.2009.41.12.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Engel C., Brügmann G., Lambing S., Mühlenbeck L.H., Marx S., Hagen C., Horv D., Goldeck M., Ludwig J., Herzne A.M., et al. RIG-I Resists Hypoxia-Induced Immunosuppression and Dedifferentiation. Cancer Immunol. Res. 2017;5:455–467. doi: 10.1158/2326-6066.CIR-16-0129-T. [DOI] [PubMed] [Google Scholar]
  • 5.Zhao T., Ren H., Jia L., Chen J., Xin W., Yan F., Li J., Wang X., Gao S., Qian D., et al. Inhibition of HIF-1α by PX-478 enhances the anti-tumor effect of gemcitabine by inducing immunogenic cell death in pancreatic ductal adenocarcinoma. Oncotarget. 2015;6:2250–2262. doi: 10.18632/oncotarget.2948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hatfield S., Veszeleiova K., Steingold J., Sethuraman J., Sitkovsky M. Mechanistic justifications of systemic therapeutic oxygenation of tumors to weaken the hypoxia inducible factor 1α-mediated immunosuppression. Adv. Exp. Med. Biol. 2019;1136:113–121. doi: 10.1007/978-3-030-12734-3_8. [DOI] [PubMed] [Google Scholar]
  • 7.Han Y.K., Park G.Y., Bae M.J.I., Kim J.S., Jo W.S., Lee C.G. Hypoxia induces immunogenic cell death of cancer cells by enhancing the exposure of cell surface calreticulin in an endoplasmic reticulum stress-dependent manner. Oncol. Lett. 2019;18:6269–6274. doi: 10.3892/ol.2019.10986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tamura R., Tanaka T., Akasaki Y., Murayama Y., Yoshida K., Sasaki H. The role of vascular endothelial growth factor in the hypoxic and immunosuppressive tumor microenvironment: Perspectives for therapeutic implications. Med. Oncol. 2020;37:2. doi: 10.1007/s12032-019-1329-2. [DOI] [PubMed] [Google Scholar]
  • 9.Sormendi S., Wielockx B. Hypoxia pathway proteins as central mediators of metabolism in the tumor cells and their microenvironment. Front. Immunol. 2018;9:40. doi: 10.3389/fimmu.2018.00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Koh M.Y., Powis G. Passing the baton: The HIF switch. Trends Biochem. Sci. 2012;37:364–372. doi: 10.1016/j.tibs.2012.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Holmquist-Mengelbier L., Fredlund E., Löfstedt T., Noguera R., Navarro S., Nilsson H., Pietras A., Vallon-Christersson J., Borg Å., Gradin K., et al. Recruitment of HIF-1α and HIF-2α to common target genes is differentially regulated in neuroblastoma: HIF-2α promotes an aggressive phenotype. Cancer Cell. 2006;10:413–423. doi: 10.1016/j.ccr.2006.08.026. [DOI] [PubMed] [Google Scholar]
  • 12.Peng J., Zhang L., Drysdale L., Fong G.H. The transcription factor EPAS-1/hypoxia-inducible factor 2α plays an important role in vascular remodeling. Proc. Natl. Acad. Sci. USA. 2000;97:8386–8391. doi: 10.1073/pnas.140087397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bangoura G., Yang L.Y., Huang G.W., Wang W. Expression of HIF-2α/EPAS1 in hepatocellular carcinoma. World J. Gastroenterol. 2004;10:525–530. doi: 10.3748/wjg.v10.i4.525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Shestov A.A., Liu X., Ser Z., Cluntun A.A., Hung Y.P., Huang L., Kim D., Le A., Yellen G., Albeck J.G., et al. Quantitative determinants of aerobic glycolysis identify flux through the enzyme GAPDH as a limiting step. Elife. 2014;3:1–18. doi: 10.7554/eLife.03342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.DeBerardinis R.J., Lum J.J., Hatzivassiliou G., Thompson C.B. The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation. Cell Metab. 2008;7:11–20. doi: 10.1016/j.cmet.2007.10.002. [DOI] [PubMed] [Google Scholar]
  • 16.Levine A.J., Puzio-Kuter A.M. The control of the metabolic switch in cancers by oncogenes and tumor suppressor genes. Science. 2010;330:1340–1344. doi: 10.1126/science.1193494. [DOI] [PubMed] [Google Scholar]
  • 17.Cairns R.A., Harris I.S., Mak T.W. Regulation of cancer cell metabolism. Nat. Rev. Cancer. 2011;11:85–95. doi: 10.1038/nrc2981. [DOI] [PubMed] [Google Scholar]
  • 18.Koppenol W.H., Bounds P.L., Dang C.V. Otto Warburg’s contributions to current concepts of cancer metabolism. Nat. Rev. Cancer. 2011;11:325–337. doi: 10.1038/nrc3038. [DOI] [PubMed] [Google Scholar]
  • 19.Wielockx B., Meneses A. PHD2: From hypoxia regulation to disease progression. Hypoxia. 2016:53. doi: 10.2147/HP.S53576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Selfridge A.C., Cavadas M.A.S., Scholz C.C., Campbell E.L., Welch L.C., Lecuona E., Colgan S.P., Barrett K.E., Sporn P.H.S., Sznajder J.I., et al. Hypercapnia suppresses the HIF-dependent adaptive response to hypoxia. J. Biol. Chem. 2016;291:11800–11808. doi: 10.1074/jbc.M116.713941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pezzuto A., Carico E. Role of HIF-1 in Cancer Progression: Novel Insights. A Review. Curr. Mol. Med. 2018;18:343–351. doi: 10.2174/1566524018666181109121849. [DOI] [PubMed] [Google Scholar]
  • 22.Elia A.R., Cappello P., Puppo M., Fraone T., Vanni C., Eva A., Musso T., Novelli F., Varesio L., Giovarelli M. Human dendritic cells differentiated in hypoxia down-modulate antigen uptake and change their chemokine expression profile. J. Leukoc. Biol. 2008;84:1472–1482. doi: 10.1189/jlb.0208082. [DOI] [PubMed] [Google Scholar]
  • 23.Mancino A., Schioppa T., Larghi P., Pasqualini F., Nebuloni M., Chen I.H., Sozzani S., Austyn J.M., Mantovani A., Sica A. Divergent effects of hypoxia on dendritic cell functions. Blood. 2008;112:3723–3734. doi: 10.1182/blood-2008-02-142091. [DOI] [PubMed] [Google Scholar]
  • 24.Galluzzi L., Buqué A., Kepp O., Zitvogel L., Kroemer G. Immunogenic cell death in cancer and infectious disease. Nat. Rev. Immunol. 2017;17:97–111. doi: 10.1038/nri.2016.107. [DOI] [PubMed] [Google Scholar]
  • 25.Ostuni R., Kratochvill F., Murray P.J., Natoli G. Macrophages and cancer: From mechanisms to therapeutic implications. Trends Immunol. 2015;36:229–239. doi: 10.1016/j.it.2015.02.004. [DOI] [PubMed] [Google Scholar]
  • 26.Sica A., Mantovani A. Macrophage plasticity and polarization: In vivo veritas. J. Clin. Investig. 2012;122:787–795. doi: 10.1172/JCI59643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Henze A.T., Mazzone M. The impact of hypoxia on tumor-associated macrophages. J. Clin. Investig. 2016;126:3672–3679. doi: 10.1172/JCI84427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Hughes R., Qian B.Z., Rowan C., Muthana M., Keklikoglou I., Olson O.C., Tazzyman S., Danson S., Addison C., Clemons M., et al. Perivascular M2 macrophages stimulate tumor relapse after chemotherapy. Cancer Res. 2015;75:3479–3491. doi: 10.1158/0008-5472.CAN-14-3587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ohno S., Ohno Y., Suzuki N., Kamei T., Koike K., Inagawa H., Kohchi C., Soma G.I., Inoue M. Correlation of histological localization of tumor-associated macrophages with clinicopathological features in endometrial cancer. Anticancer Res. 2004;24:3335–3342. [PubMed] [Google Scholar]
  • 30.Hoffman W., Lakkis F.G., Chalasani G. B cells, antibodies, and more. Clin. J. Am. Soc. Nephrol. 2016;11:137–154. doi: 10.2215/CJN.09430915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Mauri C., Bosma A. Immune Regulatory Function of B Cells. Annu. Rev. Immunol. 2012;30:221–241. doi: 10.1146/annurev-immunol-020711-074934. [DOI] [PubMed] [Google Scholar]
  • 32.Krzywinska E., Stockmann C. Hypoxia, metabolism and immune cell function. Biomedicines. 2018;6:56. doi: 10.3390/biomedicines6020056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kojima H., Gu H., Nomura S., Caldwell C.C., Kobata T., Carmeliet P., Semenza G.L., Sitkovsky M.V. Abnormal B lymphocyte development and autoimmunity in hypoxia-inducible factor 1α-deficient chimeric mice. Proc. Natl. Acad. Sci. USA. 2002;99:2170–2174. doi: 10.1073/pnas.052706699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Goda N., Ryan H.E., Khadivi B., McNulty W., Rickert R.C., Johnson R.S. Hypoxia-Inducible Factor 1 Is Essential for Cell Cycle Arrest during Hypoxia. Mol. Cell. Biol. 2003;23:359–369. doi: 10.1128/MCB.23.1.359-369.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Meng X., Grötsch B., Luo Y., Knaup K.X., Wiesener M.S., Chen X.X., Jantsch J., Fillatreau S., Schett G., Bozec A. Hypoxia-inducible factor-1α is a critical transcription factor for IL-10-producing B cells in autoimmune disease. Nat. Commun. 2018;9 doi: 10.1038/s41467-017-02683-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Zhang Y., Garcia-Ibanez L., Toellner K.M. Regulation of germinal center B-cell differentiation. Immunol. Rev. 2016;270:8–19. doi: 10.1111/imr.12396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Jellusova J., Cato M.H., Apgar J.R., Ramezani-Rad P., Leung C.R., Chen C., Richardson A.D., Conner E.M., Benschop R.J., Woodgett J.R., et al. Gsk3 is a metabolic checkpoint regulator in B cells. Nat. Immunol. 2017;18:303–312. doi: 10.1038/ni.3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Caro-Maldonado A., Wang R., Nichols A.G., Kuraoka M., Milasta S., Sun L.D., Gavin A.L., Abel E.D., Kelsoe G., Green D.R., et al. Metabolic Reprogramming Is Required for Antibody Production That Is Suppressed in Anergic but Exaggerated in Chronically BAFF-Exposed B Cells. J. Immunol. 2014;192:3626–3636. doi: 10.4049/jimmunol.1302062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Griss J., Bauer W., Wagner C., Simon M., Chen M., Grabmeier-Pfistershammer K., Maurer-Granofszky M., Roka F., Penz T., Bock C., et al. B cells sustain inflammation and predict response to immune checkpoint blockade in human melanoma. Nat. Commun. 2019;10 doi: 10.1038/s41467-019-12160-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Masopust D., Schenkel J.M. The integration of T cell migration, differentiation and function. Nat. Rev. Immunol. 2013;13:309–320. doi: 10.1038/nri3442. [DOI] [PubMed] [Google Scholar]
  • 41.Cho S.H., Raybuck A.L., Blagih J., Kemboi E., Haase V.H., Jones R.G., Boothby M.R. Hypoxia-inducible factors in CD4+ T cells promote metabolism, switch cytokine secretion, and T cell help in humoral immunity. Proc. Natl. Acad. Sci. USA. 2019;116:8975–8984. doi: 10.1073/pnas.1811702116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tao J.H., Barbi J., Pan F. Hypoxia-inducible factors in T lymphocyte differentiation and function. A review in the theme: Cellular responses to hypoxia. Am. J. Physiol. - Cell Physiol. 2015;309:C580–C589. doi: 10.1152/ajpcell.00204.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Waickman A.T., Powell J.D. mTOR, metabolism, and the regulation of T-cell differentiation and function. Immunol. Rev. 2012;249:43–58. doi: 10.1111/j.1600-065X.2012.01152.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Frauwirth K.A., Thompson C.B. Regulation of T Lymphocyte Metabolism. J. Immunol. 2004;172:4661–4665. doi: 10.4049/jimmunol.172.8.4661. [DOI] [PubMed] [Google Scholar]
  • 45.Chen J.L.Y., Lucas J.E., Schroeder T., Mori S., Wu J., Nevins J., Dewhirst M., West M., Chi J.T. The genomic analysis of lactic acidosis and acidosis response in human cancers. PLoS Genet. 2008;4:e100293. doi: 10.1371/journal.pgen.1000293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Pauken K.E., Wherry E.J. Overcoming T cell exhaustion in infection and cancer. Trends Immunol. 2015;36:265–276. doi: 10.1016/j.it.2015.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Caldwell C.C., Kojima H., Lukashev D., Armstrong J., Farber M., Apasov S.G., Sitkovsky M.V. Differential Effects of Physiologically Relevant Hypoxic Conditions on T Lymphocyte Development and Effector Functions. J. Immunol. 2001;167:6140–6149. doi: 10.4049/jimmunol.167.11.6140. [DOI] [PubMed] [Google Scholar]
  • 48.Sukumar M., Liu J., Ji Y., Subramanian M., Crompton J.G., Yu Z., Roychoudhuri R., Palmer D.C., Muranski P., Karoly E.D., et al. Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function. J. Clin. Investig. 2013;123:4479–4488. doi: 10.1172/JCI69589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Parodi M., Raggi F., Cangelosi D., Manzini C., Balsamo M., Blengio F., Eva A., Varesio L., Pietra G., Moretta L., et al. Hypoxia modifies the transcriptome of human NK cells, modulates their immunoregulatory profile, and influences NK cell subset migration. Front. Immunol. 2018;9 doi: 10.3389/fimmu.2018.02358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Balsamo M., Manzini C., Pietra G., Raggi F., Blengio F., Mingari M.C., Varesio L., Moretta L., Bosco M.C., Vitale M. Hypoxia downregulates the expression of activating receptors involved in NK-cell-mediated target cell killing without affecting ADCC. Eur. J. Immunol. 2013;43:2756–2764. doi: 10.1002/eji.201343448. [DOI] [PubMed] [Google Scholar]
  • 51.Krzywinska E., Kantari-Mimoun C., Kerdiles Y., Sobecki M., Isagawa T., Gotthardt D., Castells M., Haubold J., Millien C., Viel T., et al. Loss of HIF-1α in natural killer cells inhibits tumour growth by stimulating non-productive angiogenesis. Nat. Commun. 2017;8 doi: 10.1038/s41467-017-01599-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Cluff E.R., Nolan J., Collins C., Varadaraj A., Rajasekaran N. Hypoxia-Inducible Factor-1α is upregulated in Natural Killer cells by Interleukin-2 and hypoxia via PI3K/mTOR signaling pathway. J. Immunol. 2019;202:194.37. [Google Scholar]
  • 53.Gabrilovich D.I., Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat. Rev. Immunol. 2009;9:162–174. doi: 10.1038/nri2506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Murdoch C., Muthana M., Coffelt S.B., Lewis C.E. The role of myeloid cells in the promotion of tumour angiogenesis. Nat. Rev. Cancer. 2008;8:618–631. doi: 10.1038/nrc2444. [DOI] [PubMed] [Google Scholar]
  • 55.Corzo C.A., Condamine T., Lu L., Cotter M.J., Youn J.I., Cheng P., Cho H.I., Celis E., Quiceno D.G., Padhya T., et al. HIF-1α regulates function and differentiation of myeloid-derived suppressor cells in the tumor microenvironment. J. Exp. Med. 2010;207:2439–2453. doi: 10.1084/jem.20100587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ye X.Z., Yu S.C., Bian X.W. Contribution of myeloid-derived suppressor cells to tumor-induced immune suppression, angiogenesis, invasion and metastasis. J. Genet. Genomics. 2010;37:423–430. doi: 10.1016/S1673-8527(09)60061-8. [DOI] [PubMed] [Google Scholar]
  • 57.Chiu D.K.C., Tse A.P.W., Xu I.M.J., Di Cui J., Lai R.K.H., Li L.L., Koh H.Y., Tsang F.H.C., Wei L.L., Wong C.M., et al. Hypoxia inducible factor HIF-1 promotes myeloid-derived suppressor cells accumulation through ENTPD2/CD39L1 in hepatocellular carcinoma. Nat. Commun. 2017;8:1–12. doi: 10.1038/s41467-017-00530-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Chiu D.K.C., Xu I.M.J., Lai R.K.H., Tse A.P.W., Wei L.L., Koh H.Y., Li L.L., Lee D., Lo R.C.L., Wong C.M., et al. Hypoxia induces myeloid-derived suppressor cell recruitment to hepatocellular carcinoma through chemokine (C-C motif) ligand 26. Hepatology. 2016;64:797–813. doi: 10.1002/hep.28655. [DOI] [PubMed] [Google Scholar]
  • 59.Erler J.T., Bennewith K.L., Nicolau M., Dornhöfer N., Kong C., Le Q.T., Chi J.T.A., Jeffrey S.S., Giaccia A.J. Lysyl oxidase is essential for hypoxia-induced metastasis. Nature. 2006;440:1222–1226. doi: 10.1038/nature04695. [DOI] [PubMed] [Google Scholar]
  • 60.Kepp O., Tartour E., Vitale I., Vacchelli E., Adjemian S., Agostinis P., Apetoh L., Aranda F., Barnaba V., Bloy N., et al. Consensus guidelines for the detection of immunogenic cell death. Oncoimmunology. 2014;3:e955691. doi: 10.4161/21624011.2014.955691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Galluzzi L., Vitale I., Abrams J.M., Alnemri E.S., Baehrecke E.H., Blagosklonny M.V., Dawson T.M., Dawson V.L., El-Deiry W.S., Fulda S., et al. Molecular definitions of cell death subroutines: Recommendations of the Nomenclature Committee on Cell Death 2012. Cell Death Differ. 2012;19:107–120. doi: 10.1038/cdd.2011.96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Klionsky D.J., Abeliovich H., Agostinis P., Agrawal D.K., Aliev G., Askew D.S., Baba M., Baehrecke E.H., Bahr B.A., Ballabio A., et al. Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy. 2008;4:151–175. doi: 10.4161/auto.5338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Tait S.W.G., Green D.R. Mitochondria and cell death: Outer membrane permeabilization and beyond. Nat. Rev. Mol. Cell Biol. 2010;11:621–632. doi: 10.1038/nrm2952. [DOI] [PubMed] [Google Scholar]
  • 64.Kroemer G., Galluzzi L., Kepp O., Zitvogel L. Immunogenic Cell Death in Cancer Therapy. Annu. Rev. Immunol. 2013;31:51–72. doi: 10.1146/annurev-immunol-032712-100008. [DOI] [PubMed] [Google Scholar]
  • 65.Krysko D.V., Garg A.D., Kaczmarek A., Krysko O., Agostinis P., Vandenabeele P. Immunogenic cell death and DAMPs in cancer therapy. Nat. Rev. Cancer. 2012;12:860–875. doi: 10.1038/nrc3380. [DOI] [PubMed] [Google Scholar]
  • 66.Casares N., Pequignot M.O., Tesniere A., Ghiringhelli F., Roux S., Chaput N., Schmitt E., Hamai A., Hervas-Stubbs S., Obeid M., et al. Caspase-dependent immunogenicity of doxorubicin-induced tumor cell death. J. Exp. Med. 2005;202:1691–1701. doi: 10.1084/jem.20050915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Cirone M., Renzo L.D., Lotti L.V., Conte V., Trivedi P., Santarelli R., Gonnella R., Frati L., Faggioni A. Activation of dendritic cells by tumor cell death. Oncoimmunology. 2012;1:1218–1219. doi: 10.4161/onci.20428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Zhou J., Wang G., Chen Y., Wang H., Hua Y., Cai Z. Immunogenic cell death in cancer therapy: Present and emerging inducers. J. Cell. Mol. Med. 2019;23:4854–4865. doi: 10.1111/jcmm.14356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Olin M.R., Andersen B.M., Zellmer D.M., Grogan P.T., Popescu F.E., Xiong Z., Forster C.L., Seiler C., SantaCruz K.S., Chen W., et al. Superior efficacy of tumor cell vaccines grown in physiologic oxygen. Clin. Cancer Res. 2010;16:4800–4808. doi: 10.1158/1078-0432.CCR-10-1572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Olin M.R., Andersen B.M., Litterman A.J., Grogan P.T., Sarver A.L., Robertson P.T., Liang X., Chen W., Parney I.F., Hunt M.A., et al. Oxygen is a master regulator of the immunogenicity of primary human glioma cells. Cancer Res. 2011;71:6583–6589. doi: 10.1158/0008-5472.CAN-11-1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Garg A.D., Krysko D.V., Verfaillie T., Kaczmarek A., Ferreira G.B., Marysael T., Rubio N., Firczuk M., Mathieu C., Roebroek A.J.M., et al. A novel pathway combining calreticulin exposure and ATP secretion in immunogenic cancer cell death. EMBO J. 2012;31:1062–1079. doi: 10.1038/emboj.2011.497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Garg A.D., Krysko D.V., Vandenabeele P., Agostinis P. Hypericin-based photodynamic therapy induces surface exposure of damage-associated molecular patterns like HSP70 and calreticulin. Cancer Immunol. Immunother. 2012;61:215–221. doi: 10.1007/s00262-011-1184-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Galluzzi L., Kepp O., Kroemer G. Enlightening the impact of immunogenic cell death in photodynamic cancer therapy. EMBO J. 2012;31:1055–1057. doi: 10.1038/emboj.2012.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Lucky S.S., Soo K.C., Zhang Y. Nanoparticles in photodynamic therapy. Chem. Rev. 2015;115:1990–2042. doi: 10.1021/cr5004198. [DOI] [PubMed] [Google Scholar]
  • 75.Chouaib S., Noman M.Z., Kosmatopoulos K., Curran M.A. Hypoxic stress: Obstacles and opportunities for innovative immunotherapy of cancer. Oncogene. 2017;36:439–445. doi: 10.1038/onc.2016.225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Chen Z., Liu L., Liang R., Luo Z., He H., Wu Z., Tian H., Zheng M., Ma Y., Cai L. Bioinspired hybrid protein oxygen nanocarrier amplified photodynamic therapy for eliciting anti-tumor immunity and abscopal effect. ACS Nano. 2018;12:8633–8645. doi: 10.1021/acsnano.8b04371. [DOI] [PubMed] [Google Scholar]
  • 77.Hou W., Zhang Q., Yan Z., Chen R., Zeh H.J., Kang R., Lotze M.T., Tang D. Strange attractors: DAMPs and autophagy link tumor cell death and immunity. Cell Death Dis. 2013;4:e966. doi: 10.1038/cddis.2013.493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Garg A.D., Dudek A.M., Agostinis P. Calreticulin surface exposure is abrogated in cells lacking, chaperone-mediated autophagy-essential gene, LAMP2A. Cell Death Dis. 2013;4:e826. doi: 10.1038/cddis.2013.372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Papandreou I., Lim A.L., Laderoute K., Denko N.C. Hypoxia signals autophagy in tumor cells via AMPK activity, independent of HIF-1, BNIP3, and BNIP3L. Cell Death Differ. 2008;15:1572–1581. doi: 10.1038/cdd.2008.84. [DOI] [PubMed] [Google Scholar]
  • 80.Bellot G., Garcia-Medina R., Gounon P., Chiche J., Roux D., Pouyssegur J., Mazure N.M. Hypoxia-Induced Autophagy Is Mediated through Hypoxia-Inducible Factor Induction of BNIP3 and BNIP3L via Their BH3 Domains. Mol. Cell. Biol. 2009;29:2570–2581. doi: 10.1128/MCB.00166-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Li Y., Wang Y., Kim E., Beemiller P., Wang C.Y., Swanson J., You M., Guan K.L. Bnip3 mediates the hypoxia-induced inhibition on mammalian target of rapamycin by interacting with Rheb. J. Biol. Chem. 2007;282:35803–35813. doi: 10.1074/jbc.M705231200. [DOI] [PubMed] [Google Scholar]
  • 82.Cam H., Easton J.B., High A., Houghton P.J. mTORC1 signaling under hypoxic conditions is controlled by atm-dependent phosphorylation of HIF-1α. Mol. Cell. 2010;40:509–520. doi: 10.1016/j.molcel.2010.10.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Li D.D., Xie B., Wu X.J., Li J.J., Ding Y., Wen X.Z., Zhang X., Zhu S.G., Liu W., Zhang X.S., et al. Late-stage inhibition of autophagy enhances calreticulin surface exposure. Oncotarget. 2016;7:80842–80854. doi: 10.18632/oncotarget.13099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Sharma P., Hu-Lieskovan S., Wargo J.A., Ribas A. Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy. Cell. 2017;168:707–723. doi: 10.1016/j.cell.2017.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Garrido F., Aptsiauri N., Doorduijn E.M., Garcia Lora A.M., van Hall T. The urgent need to recover MHC class I in cancers for effective immunotherapy. Curr. Opin. Immunol. 2016;39:44–51. doi: 10.1016/j.coi.2015.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Garrido F., Algarra I. MHC antigens and tumor escape from immune surveillance. Adv. Cancer Res. 2001;83:117–158. doi: 10.1016/s0065-230x(01)83005-0. [DOI] [PubMed] [Google Scholar]
  • 87.Seliger B., Cabrera T., Garrido F., Ferrone S. HLA class I antigen abnormalities and immune escape by malignant cells. Semin. Cancer Biol. 2002;12:3–13. doi: 10.1006/scbi.2001.0404. [DOI] [PubMed] [Google Scholar]
  • 88.Sethumadhavan S., Silva M., Philbrook P., Nguyen T., Hatfield S.M., Ohta A., Sitkovsky M.V. Hypoxia and hypoxia-inducible factor (HIF) downregulate antigen-presenting MHC class I molecules limiting tumor cell recognition by T cells. PLoS ONE. 2017;12:e0187314. doi: 10.1371/journal.pone.0187314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Murthy A., Gerber S.A., Koch C.J., Lord E.M. Intratumoral Hypoxia Reduces IFN-γ–Mediated Immunity and MHC Class I Induction in a Preclinical Tumor Model. ImmunoHorizons. 2019;3:149–160. doi: 10.4049/immunohorizons.1900017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Siemens D.R., Hu N., Sheikhi A.K., Chung E., Frederiksen L.J., Pross H., Graham C.H. Hypoxia increases tumor cell shedding of MHC class I chain-related molecule: Role of nitric oxide. Cancer Res. 2008;68:4746–4753. doi: 10.1158/0008-5472.CAN-08-0054. [DOI] [PubMed] [Google Scholar]
  • 91.Marijt K.A., Sluijter M., Blijleven L., Tolmeijer S.H., Scheeren F.A., Van Der Burg S.H., Van Hall T. Metabolic stress in cancer cells induces immune escape through a PI3K-dependent blockade of IFNγreceptor signaling. J. Immunother. Cancer. 2019;7:152. doi: 10.1186/s40425-019-0627-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Qin W., Hu L., Zhang X., Jiang S., Li J., Zhang Z., Wang X. The Diverse Function of PD-1/PD-L Pathway Beyond Cancer. Front. Immunol. 2019;10:152. doi: 10.3389/fimmu.2019.02298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Tawadros A.I.F., Khalafalla M.M.M. Expression of programmed death-ligand 1 and hypoxia-inducible factor-1α proteins in endometrial carcinoma. J. Cancer Res. Ther. 2018;14:S1063–S1069. doi: 10.4103/0973-1482.202891. [DOI] [PubMed] [Google Scholar]
  • 94.Noman M.Z., Desantis G., Janji B., Hasmim M., Karray S., Dessen P., Bronte V., Chouaib S. PD-L1 is a novel direct target of HIF-1α, and its blockade under hypoxia enhanced: MDSC-mediated T cell activation. J. Exp. Med. 2014;211:781–790. doi: 10.1084/jem.20131916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Cubillos-Zapata C., Avendaño-Ortiz J., Hernandez-Jimenez E., Toledano V., Casas-Martin J., Varela-Serrano A., Torres M., Almendros I., Casitas R., Fernández-Navarro I., et al. Hypoxia-induced PD-L1/PD-1 crosstalk impairs T-cell function in sleep apnoea. Eur. Respir. J. 2017;50 doi: 10.1183/13993003.00833-2017. [DOI] [PubMed] [Google Scholar]
  • 96.Jiang X., Wang J., Deng X., Xiong F., Ge J., Xiang B., Wu X., Ma J., Zhou M., Li X., et al. Role of the tumor microenvironment in PD-L1/PD-1-mediated tumor immune escape. Mol. Cancer. 2019;18:1–17. doi: 10.1186/s12943-018-0928-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Messai Y., Gad S., Noman M.Z., Le Teuff G., Couve S., Janji B., Kammerer S.F., Rioux-Leclerc N., Hasmim M., Ferlicot S., et al. Renal Cell Carcinoma Programmed Death-ligand 1, a New Direct Target of Hypoxia-inducible Factor-2 Alpha, is Regulated by von Hippel–Lindau Gene Mutation Status. Eur. Urol. 2016;70:623–632. doi: 10.1016/j.eururo.2015.11.029. [DOI] [PubMed] [Google Scholar]
  • 98.Sansom D.M. CD28, CTLA-4 and their ligands: Who does what and to whom? Immunology. 2000;101:169–177. doi: 10.1046/j.1365-2567.2000.00121.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Rowshanravan B., Halliday N., Sansom D.M. CTLA-4: A moving target in immunotherapy. Blood. 2018;131:58–67. doi: 10.1182/blood-2017-06-741033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Köhler T., Reizis B., Johnson R.S., Weighardt H., Förster I. Influence of hypoxia-inducible factor 1α on dendritic cell differentiation and migration. Eur. J. Immunol. 2012;42:1226–1236. doi: 10.1002/eji.201142053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Ho P.-C., Bihuniak J.D., Macintyre A.N., Staron M., Liu X., Amezquita R., Tsui Y.-C., Cui G., Micevic G., Perales J.C., et al. Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses. Cell. 2015;162:1217–1228. doi: 10.1016/j.cell.2015.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Chang C.-H., Qiu J., Buck M.D., Noguchi T., Curtis J.D., Chen Q., Gindin M., Gubin M.M., van der Windt G.J., Tonc E., et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression Graphical Abstract HHS Public Access. Cell. 2015;162:1229–1241. doi: 10.1016/j.cell.2015.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Vyas M., Müller R., Pogge von Strandmann E. Antigen Loss Variants: Catching Hold of Escaping Foes. Front. Immunol. 2017;8:175. doi: 10.3389/fimmu.2017.00175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Kim C., Gao R., Sei E., Brandt R., Hartman J., Hatschek T., Crosetto N., Foukakis T., Navin N.E. Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing. Cell. 2018;173:879–893.e13. doi: 10.1016/j.cell.2018.03.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Verdegaal E.M.E., de Miranda N.F.C.C., Visser M., Harryvan T., van Buuren M.M., Andersen R.S., Hadrup S.R., van der Minne C.E., Schotte R., Spits H., et al. Neoantigen landscape dynamics during human melanoma–T cell interactions. Nature. 2016;536:91–95. doi: 10.1038/nature18945. [DOI] [PubMed] [Google Scholar]
  • 106.Sanchez-Perez L., Kottke T., Diaz R.M., Ahmed A., Thompson J., Chong H., Melcher A., Holmen S., Daniels G., Vile R.G. Potent Selection of Antigen Loss Variants of B16 Melanoma following Inflammatory Killing of Melanocytes In vivo. Cancer Res. 2005;65:2009–2017. doi: 10.1158/0008-5472.CAN-04-3216. [DOI] [PubMed] [Google Scholar]
  • 107.Rodríguez-Jiménez F.J., Moreno-Manzano V., Lucas-Dominguez R., Sánchez-Puelles J.-M. Hypoxia Causes Downregulation of Mismatch Repair System and Genomic Instability in Stem Cells. Stem Cells. 2008;26:2052–2062. doi: 10.1634/stemcells.2007-1016. [DOI] [PubMed] [Google Scholar]
  • 108.Cowman S., Pizer B., See V. Downregulation of both mismatch repair and non-homologous end-joining pathways in hypoxic brain tumour cell lines. bioRxiv Cancer Biol. 2020 doi: 10.1101/2020.01.15.907584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Mihaylova V.T., Bindra R.S., Yuan J., Campisi D., Narayanan L., Jensen R., Giordano F., Johnson R.S., Rockwell S., Glazer P.M. Decreased Expression of the DNA Mismatch Repair Gene Mlh1 under Hypoxic Stress in Mammalian Cells. Mol. Cell. Biol. 2003;23:3265–3273. doi: 10.1128/MCB.23.9.3265-3273.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Kondo A., Safaei R., Mishima M., Niedner H., Lin X., Howell S.B. Hypoxia-induced enrichment and mutagenesis of cells that have lost DNA mismatch repair. Cancer Res. 2001;61:7603–7607. [PubMed] [Google Scholar]
  • 111.Luoto K.R., Kumareswaran R., Bristow R.G. Tumor hypoxia as a driving force in genetic instability. Genome Integr. 2013;4:5. doi: 10.1186/2041-9414-4-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Kumareswaran R., Ludkovski O., Meng A., Sykes J., Pintilie M., Bristow R.G. Chronic hypoxia compromises repair of DNA double-strand breaks to drive genetic instability. J. Cell Sci. 2012;125:189–199. doi: 10.1242/jcs.092262. [DOI] [PubMed] [Google Scholar]
  • 113.Liu Z.J., Semenza G.L., Zhang H. feng Hypoxia-inducible factor 1 and breast cancer metastasis. J. Zhejiang Univ. Sci. B. 2015;16:32–43. doi: 10.1631/jzus.B1400221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Jing S.W., Wang Y.D., Kuroda M., Su J.W., Sun G.G., Liu Q., Cheng Y.J., Yang C.R. HIF-1α contributes to hypoxia-induced invasion and metastasis of esophageal carcinoma via inibiting E-cadherin and promoting MMP-2 expression. Acta Med. Okayama. 2012;66:399–407. doi: 10.18926/AMO/48964. [DOI] [PubMed] [Google Scholar]
  • 115.Folkman J. Role of angiogenesis in tumor growth and metastasis. Semin. Oncol. 2002;29:15–18. doi: 10.1053/sonc.2002.37263. [DOI] [PubMed] [Google Scholar]
  • 116.Bielenberg D.R., Zetter B.R. The Contribution of Angiogenesis to the Process of Metastasis. Cancer J. (USA) 2015;21:267–273. doi: 10.1097/PPO.0000000000000138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Büchler P., Reber H.A., Büchler M., Shrinkante S., Büchler M.W., Friess H., Semenza G.L., Hines O.J. Hypoxia-inducible factor 1 regulates vascular endothelial growth factor expression in human pancreatic cancer. Pancreas. 2003;26:56–64. doi: 10.1097/00006676-200301000-00010. [DOI] [PubMed] [Google Scholar]
  • 118.Sivridis E., Giatromanolaki A., Gatter K.C., Harris A.L., Koukourakis M.I. Association of hypoxia-inducible factors 1α and 2α with activated angiogenic pathways and prognosis in patients with endometrial carcinoma. Cancer. 2002;95:1055–1063. doi: 10.1002/cncr.10774. [DOI] [PubMed] [Google Scholar]
  • 119.Oladipupo S., Hu S., Kovalski J., Yao J., Santeford A., Sohn R.E., Shohet R., Maslov K., Wang L.V., Arbeit J.M. VEGF is essential for hypoxia-inducible factor-mediated neovascularization but dispensable for endothelial sprouting. Proc. Natl. Acad. Sci. USA. 2011;108:13264–13269. doi: 10.1073/pnas.1101321108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Skinner H.D., Zheng J.Z., Fang J., Agani F., Jiang B.H. Vascular endothelial growth factor transcriptional activation is mediated by hypoxia-inducible factor 1α, HDM2, and p70S6K1 in response to phosphatidylinositol 3-kinase/AKT signaling. J. Biol. Chem. 2004;279:45643–45651. doi: 10.1074/jbc.M404097200. [DOI] [PubMed] [Google Scholar]
  • 121.De Francesco E.M., Lappano R., Santolla M.F., Marsico S., Caruso A., Maggiolini M. HIF-1α/GPER signaling mediates the expression of VEGF induced by hypoxia in breast cancer associated fibroblasts (CAFs) Breast Cancer Res. 2013;15:R64. doi: 10.1186/bcr3458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Han S., Huang T., Li W., Liu S., Yang W., Shi Q., Li H., Ren J., Hou F. Association between Hypoxia-Inducible Factor-2α (HIF-2α) Expression and Colorectal Cancer and Its Prognostic Role: A Systematic Analysis. Cell. Physiol. Biochem. 2018;48:516–527. doi: 10.1159/000491806. [DOI] [PubMed] [Google Scholar]
  • 123.Wierzbicki P.M., Klacz J., Kotulak-Chrzaszcz A., Wronska A., Stanislawowski M., Rybarczyk A., Ludziejewska A., Kmiec Z., Matuszewski M. Prognostic significance of VHL, HIF1A, HIF2A, VEGFA and p53 expression in patients with clear-cell renal cell carcinoma treated with sunitinib as first-line treatment. Int. J. Oncol. 2019;55:371–390. doi: 10.3892/ijo.2019.4830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Baba Y., Nosho K., Shima K., Irahara N., Chan A.T., Meyerhardt J.A., Chung D.C., Giovannucci E.L., Fuchs C.S., Ogino S. HIF1A overexpression is associated with poor prognosis in a cohort of 731 colorectal cancers. Am. J. Pathol. 2010;176:2292–2301. doi: 10.2353/ajpath.2010.090972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Burroughs S.K., Kaluz S., Wang D., Wang K., Van Meir E.G., Wang B. Hypoxia inducible factor pathway inhibitors as anticancer therapeutics. Future Med. Chem. 2013;5:553–572. doi: 10.4155/fmc.13.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Wigerup C., Påhlman S., Bexell D. Therapeutic targeting of hypoxia and hypoxia-inducible factors in cancer. Pharmacol. Ther. 2016;164:152–169. doi: 10.1016/j.pharmthera.2016.04.009. [DOI] [PubMed] [Google Scholar]
  • 127.Onnis B., Rapisarda A., Melillo G. Development of HIF-1 inhibitors for cancer therapy. J. Cell. Mol. Med. 2009;13:2780–2786. doi: 10.1111/j.1582-4934.2009.00876.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Li Y., Patel S.P., Roszik J., Qin Y. Hypoxia-driven immunosuppressive metabolites in the tumor microenvironment: New approaches for combinational immunotherapy. Front. Immunol. 2018;9:1. doi: 10.3389/fimmu.2018.01591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Yu T., Tang B., Sun X. Development of Inhibitors Targeting Hypoxia-Inducible Factor 1 and 2 for Cancer Therapy. Yonsei Med. J. 2017;58:489–496. doi: 10.3349/ymj.2017.58.3.489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Fallah J., Rini B.I. HIF Inhibitors: Status of Current Clinical Development. Curr. Oncol. Rep. 2019;21:1–10. doi: 10.1007/s11912-019-0752-z. [DOI] [PubMed] [Google Scholar]
  • 131.Carbajo-Pescador S., Ordoñez R., Benet M., Jover R., García-Palomo A., Mauriz J.L., González-Gallego J. Inhibition of VEGF expression through blockade of Hif1α and STAT3 signalling mediates the anti-angiogenic effect of melatonin in HepG2 liver cancer cells. Br. J. Cancer. 2013;109:83–91. doi: 10.1038/bjc.2013.285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Ban H.S., Kim B.K., Lee H., Kim H.M., Harmalkar D., Nam M., Park S.K., Lee K., Park J.T., Kim I., et al. The novel hypoxia-inducible factor-1α inhibitor IDF-11774 regulates cancer metabolism, thereby suppressing tumor growth. Cell Death Dis. 2017;8:e2843. doi: 10.1038/cddis.2017.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Laughner E., Taghavi P., Chiles K., Mahon P.C., Semenza G.L. HER2 (neu) Signaling Increases the Rate of Hypoxia-Inducible Factor 1 (HIF-1) Synthesis: Novel Mechanism for HIF-1-Mediated Vascular Endothelial Growth Factor Expression. Mol. Cell. Biol. 2001;21:3995–4004. doi: 10.1128/MCB.21.12.3995-4004.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Brugarolas J.B., Vazquez F., Reddy A., Sellers W.R., Kaelin W.G. TSC2 regulates VEGF through mTOR-dependent and -independent pathways. Cancer Cell. 2003;4:147–158. doi: 10.1016/S1535-6108(03)00187-9. [DOI] [PubMed] [Google Scholar]
  • 135.Hudson C.C., Liu M., Chiang G.G., Otterness D.M., Loomis D.C., Kaper F., Giaccia A.J., Abraham R.T. Regulation of Hypoxia-Inducible Factor 1 Expression and Function by the Mammalian Target of Rapamycin. Mol. Cell. Biol. 2002;22:7004–7014. doi: 10.1128/MCB.22.20.7004-7014.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Lastwika K.J., Wilson W., Li Q.K., Norris J., Xu H., Ghazarian S.R., Kitagawa H., Kawabata S., Taube J.M., Yao S., et al. Control of PD-L1 expression by oncogenic activation of the AKT-mTOR pathway in non-small cell lung cancer. Cancer Res. 2016;76:227–238. doi: 10.1158/0008-5472.CAN-14-3362. [DOI] [PubMed] [Google Scholar]
  • 137.Song M., Chen D., Lu B., Wang C., Zhang J., Huang L., Wang X., Timmons C.L., Hu J., Liu B., et al. PTEN Loss Increases PD-L1 Protein Expression and Affects the Correlation between PD-L1 Expression and Clinical Parameters in Colorectal Cancer. PLoS ONE. 2013;8:e65821. doi: 10.1371/journal.pone.0065821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Zhao L., Li C., Liu F., Zhao Y., Liu J., Hua Y., Liu J., Huang J., Ge C. A blockade of PD-L1 produced antitumor and antimetastatic effects in an orthotopic mouse pancreatic cancer model via the PI3K/Akt/mTOR signaling pathway. Onco. Targets. Ther. 2017;10:2115–2126. doi: 10.2147/OTT.S130481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Mittendorf E.A., Philips A.V., Meric-Bernstam F., Qiao N., Wu Y., Harrington S., Su X., Wang Y., Gonzalez-Angulo A.M., Akcakanat A., et al. PD-L1 expression in triple-negative breast cancer. Cancer Immunol. Res. 2014;2:361–370. doi: 10.1158/2326-6066.CIR-13-0127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Zhang X., Wang Y., Fan J., Chen W., Luan J., Mei X., Wang S., Li Y., Ye L., Li S., et al. Blocking CD47 efficiently potentiated therapeutic effects of anti-angiogenic therapy in non-small cell lung cancer. J. Immunother. Cancer. 2019;7:346. doi: 10.1186/s40425-019-0812-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Huang Y., Yuan J., Righi E., Kamoun W.S., Ancukiewicz M., Nezivar J., Santosuosso M., Martin J.D., Martin M.R., Vianello F., et al. Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy. Proc. Natl. Acad. Sci. USA. 2012;109:17561–17566. doi: 10.1073/pnas.1215397109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Aghi M.K., Liu T.C., Rabkin S., Martuza R.L. Hypoxia enhances the replication of oncolytic herpes simplex virus. Mol. Ther. 2009;17:51–56. doi: 10.1038/mt.2008.232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Pin R.H., Reinblatt M., Fong Y. Employing tumor hypoxia to enhance oncolytic viral therapy in breast cancer. Surgery. 2004;136:199–204. doi: 10.1016/j.surg.2004.04.016. [DOI] [PubMed] [Google Scholar]
  • 144.Guo Z.S. The impact of hypoxia on oncolytic virotherapy. Virus Adapt. Treat. 2011;3:71. doi: 10.2147/VAAT.S17832. [DOI] [Google Scholar]
  • 145.Hackstein H., Taner T., Logar A.J., Thomson A.W. Rapamycin inhibits macropinocytosis and mannose receptor-mediated endocytosis by bone marrow-derived dendritic cells. Blood. 2002;100:1084–1087. doi: 10.1182/blood.V100.3.1084. [DOI] [PubMed] [Google Scholar]
  • 146.Hackstein H., Taner T., Zahorchak A.F., Morelli A.E., Logar A.J., Gessner A., Thomson A.W. Rapamycin inhibits IL-4-induced dendritic cell maturation in vitro and dendritic cell mobilization and function in vivo. Blood. 2003;101:4457–4463. doi: 10.1182/blood-2002-11-3370. [DOI] [PubMed] [Google Scholar]
  • 147.Thomson A.W., Turnquist H.R., Raimondi G. Immunoregulatory functions of mTOR inhibition. Nat. Rev. Immunol. 2009;9:324–337. doi: 10.1038/nri2546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Chaoul N., Fayolle C., Desrues B., Oberkampf M., Tang A., Ladant D., Leclerc C. Rapamycin impairs antitumor CD8p T-cell responses and vaccine-induced tumor eradication. Cancer Res. 2015;75:3279–3291. doi: 10.1158/0008-5472.CAN-15-0454. [DOI] [PubMed] [Google Scholar]
  • 149.Battaglia M., Stabilini A., Roncarolo M.G. Rapamycin selectively expands CD4+CD25+FoxP3 + regulatory T cells. Blood. 2005;105:4743–4748. doi: 10.1182/blood-2004-10-3932. [DOI] [PubMed] [Google Scholar]
  • 150.Battaglia M., Stabilini A., Migliavacca B., Horejs-Hoeck J., Kaupper T., Roncarolo M.-G. Rapamycin Promotes Expansion of Functional CD4 + CD25 + FOXP3 + Regulatory T Cells of Both Healthy Subjects and Type 1 Diabetic Patients. J. Immunol. 2006;177:8338–8347. doi: 10.4049/jimmunol.177.12.8338. [DOI] [PubMed] [Google Scholar]

Articles from Cells are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES