Abstract
Malignant brain tumors are highly heterogeneous tumors with a poor prognosis and a high morbidity and mortality rate in both children and adults. The cancer stem cell (CSC, also named tumor‐initiating cell) model states that tumor growth is driven by a subset of CSCs. This model explains some of the clinical observations of brain tumors, including the almost unavoidable tumor recurrence after initial successful chemotherapy and/or radiotherapy and treatment resistance. Over the past two decades, strategies for the identification and characterization of brain CSCs have improved significantly, supporting the design of new diagnostic and therapeutic strategies for brain tumors. Relevant studies have unveiled novel characteristics of CSCs in the brain, including their heterogeneity and distinctive immunobiology, which have provided opportunities for new research directions and potential therapeutic approaches. In this review, we summarize the current knowledge of CSCs markers and stemness regulators in brain tumors. We also comprehensively describe the influence of the CSCs niche and tumor microenvironment on brain tumor stemness, including interactions between CSCs and the immune system, and discuss the potential application of CSCs in brain‐based therapies for the treatment of brain tumors.
Keywords: brain tumors, cancer stem cells, cell of origin, clinical implications, immune system, stemness regulators, targeted therapies, tumor microenvironment
During tumorigenesis, the stemness of brain cancer stem cells is determined by diverse intrinsic and extrinsic forces that function simultaneously or independently over time. Intrinsic regulators include epigenetic regulators, transcription regulators, kinases, secretory molecules, metabolism regulators, other regulators and signaling pathways, while extrinsic regulators include interaction with the microenvironment, including niche factors and stromal cell
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1. INTRODUCTION
Malignant brain tumors include primary tumors that originate from cells within the brain and metastatic tumors that spread to the brain from cancerous cells that originated in other parts of the body. 1 Around half of malignant brain tumors are glioblastomas (GBMs), and 30% are diffusely infiltrating lower‐grade gliomas. Other malignant brain tumors include primary central nervous system lymphoma, malignant ependymomas, malignant meningiomas, and medulloblastoma (MB). 1 , 2 , 3 , 4 Although many cancer therapies have been developed over the past few decades, few drugs have been approved by the United States Food and Drug Administration (US FDA) for the treatment of brain tumors due to the difficulties in crossing the blood‒brain barrier (BBB). The prognosis for brain tumors has barely improved in recent decades. The current standard of medical care is maximal surgical resection with adjuvant chemotherapy and radiation therapy. One study reported that the median survival for the most aggressive GBM patients was only 14.6 months, 5 and the 5‐year overall survival (OS) was <5%. 6 Due to its high mortality rate and the limitations of existing treatment options, brain tumors is recognized as a public health problem.
Brain tumors is also a highly heterogeneous tumor. It is composed of a variety of cells with different molecular characteristics and different sensitivities to treatment. This heterogeneity not only underlies treatment resistance but also has broad implications for cancer therapy and biomarker discovery. There is now compelling evidence that intratumoral heterogeneity is driven by a subset of cells with stem or progenitor cell characteristics, termed cancer stem cells (CSCs). CSCs are a small population that is thought to be preserved by self‐renewal and has the ability to produce more differentiated progenies that make up the bulk of the tumor mass. 7 However, the cell of origin for CSC generation has not been definitively identified, and almost certainly varies between different malignancies and possibly even between individual tumors of the same histology. 8 In addition to providing a driving force for tumor growth, CSCs are considered to be the source of tumor recurrence and treatment resistance. 9 , 10 , 11 Therefore, some commonalities of CSCs, such as self‐renewal, tumor initiation, tumor heterogeneity, and drug resistance, and some differences, such as origin, marker expression, differentiation potential, and tumor aggressiveness, can be observed in brain tumors.
This review summarizes the current knowledge of CSCs markers in the context of brain tumors and discusses the specific origin of brain CSCs, and, furthermore, focuses on intrinsic regulators of cancer stemness and effects of the tumor microenvironment in brain tumors. We also emphasis on the CSCs–immune system interactions, and the therapies targeting CSCs in brain that have potential value in the application development field.
2. THE ORIGIN OF CSCs
Carcinogenesis is a multistage process involving multiple mechanisms that mainly includes three stages. 12 The first stage involves the irreversible conversion of a single normal cell into a premalignant or an initiated cell. The second step involves the amplification of a single initiated clone by mitogenesis, inhibition of apoptosis, or both. The third step involves a single initiated cell within the clone of promoted initiated cells accumulating other changes needed to confer the cell with all the hallmarks of cancer. To explain carcinogenesis, there are two opposing hypotheses for the origin of cancers. One hypothesis claims that an adult stem cell is target cell for initiating the carcinogenic process, whereas the other states that a somatic differentiated cell can dedifferentiate or be reprogrammed to regain cancer‐related properties. However, a major question remains: what causes normal cells to become cancerous? Regarding brain tumors, the cells of origin for CSCs include (1) adult neural stem cells (NSCs) acquire oncogenic mutations and (2) mature glial cells or restricted neural progenitor cells (usually terminally differentiated after successive divisions) that dedifferentiate to acquire unregulated stem cell‐like properties. 13 , 14 , 15 , 16
2.1. NSCs acquire oncogenic mutations to transform into CSCs
Many studies have reported that the introduction of oncogenic mutations in NSCs can induce cancer formation. However, the mechanism by which NSCs transform into CSCs and lead to tumor formation is still unclear. Studies have shown that various conditions, including tissue damage, radiation therapy, and exposure to toxins (such as smoking), can cause mutations in certain genes. Prolonged continuous division of stem cells also increases the chance of accumulating mutations. Mutations in oncogenes may cause NSCs to transform into CSCs. Wang et al. 17 showed that introduction of GBM‐associated mutations in tumor suppressors (tumor protein p53 [TP53]/neurofibromatosis type 1 [NF1]/phosphatase and tensin homolog [PTEN] or TP53/NF1) into human NSCs generates CSC populations and induces brain tumors. In addition, harmful external signals can deactivate or enhance certain signaling pathways in NSCs, thereby leading to the transformation of NSCs into CSCs. For example, GBM extracellular vesicles, which play an important role in the tumor microenvironment, can promote the transformation of NSCs in cancerous cells. The mechanism may be related to several key genes, such as S100 calcium binding protein B, C‐X‐C motif chemokine ligand 14 (CXCL14), EGF‐containing fibulin extracellular matrix (ECM) protein 1, stimulator of chondrogenesis 1, GLI pathogenesis‐related 1, high‐mobility group AT‐hook 1, and CD44, and dysregulated signaling. 18 Abnormal expression of epigenetic molecules in NSCs can also lead to the formation of CSCs. Landskron et al. 19 demonstrated that high expression of the lncRNA cherub in NSCs leads to the formation of CSCs.
2.2. Dedifferentiation of glial cells or neural progenitor cells from CSCs
Studies have shown that chromatin‐related regulators can induce the formation of CSCs. Sequencing studies have identified a high frequency of histone H3 mutations in childhood glioma. 20 , 21 The gene mainly affected is histone 3 variant H3.3, and the K27M substitution is the most common alteration. In neural progenitor cells derived from human embryonic stem cells, H3.3K27M expression synergizes with p53 loss and platelet‐derived growth factor receptor alpha activation to lead to neoplastic transformation. Further investigation revealed that the mechanism may be related to the expression of the H3.3K27M mutant leading to a developmental resetting of neural precursor to a more primitive stem cell state. 22 However, the role of H3.3 in adult GBM appears to be different. In adult GBM, H3.3 is suppressed in self‐renewing GBM cells, and its overexpression antagonizes self‐renewal and promotes differentiation, 23 suggesting that the mechanism by which glioma stem cells (GSCs) are formed in adult GBM is different from that in childhood glioma. Furthermore, lacking PTEN and TP53 in Olig1/2‐expressing intermediate lineage progenitors induces activation of oncogenic pathways, including PI3K and HIPPO–YAP signaling, thereby promoting malignant transformation and gliomagenesis. 24
In addition, members of the inhibitor of differentiation (ID) family (ID1–ID4), which are cell fate determinants, can also induce the formation of CSCs. For example, ID3 overexpression imparts GSC features to primary astrocytes derived from Ink4a/Arf‐deficient mice. 25 Overexpression of ID4 drives astrocytes into a neural stem‐like cell state by activating Notch signaling. 26 Although many studies have reported that the dedifferentiation of glial cells or neural progenitor cells can induce the formation of CSCs, the molecular mechanism of the dedifferentiation of glial cells or neural progenitor cells into CSCs is still unclear.
3. MARKERS OF CSCs IN BRAIN TUMOR
Much of the early research on brain CSCs focused on identifying brain CSC markers derived from cell‐sorting assays and xenotransplantation experiments in immunodeficient mice (Figure 1 and Table 1). Although one should not overly rely on markers to identify CSCs, this early study undoubtedly laid the groundwork for current research on brain cancer stemness. Some candidate markers for identifying brain CSCs include oligodendrocyte transcription factor 2 (Olig2), SRY‐box transcription factor 2 (SOX2), nestin, S100 calcium‐binding protein A4 (S100A4), CD133, fucosyltransferase 4 (CD15), integrin α6, CD44, A2B5, CD24, Musashi, and CD105. 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 However, most of these markers are also expressed in NSCs. Therefore, several studies have specifically analyzed brain CSCs‐specific markers. For example, glycerol‐3‐phosphate dehydrogenase 1 (GPD1) specifically marks dormant brain CSCs. GPD1 is specifically expressed in brain CSCs and not in NSCs. 52 Dihydropyrimidinase‐related protein 5 (DRP5) was specifically upregulated in the proneural‐subtype GSCs and plays a key role in maintaining GSC properties. 53 SOX9 is limited to rare and quiescent cells in high‐risk MB with MYC amplification. Dormant SOX9‐positive cells promote MYC‐driven recurrence of MB. 54
TABLE 1.
Name | Non‐brain tumor cell types often associated with this marker | Function | Experimental evidence | References |
---|---|---|---|---|
Intracellular markers | ||||
Olig2 | Oligodendrocyte progenitor cells and motor neurons | A essential regulator of ventral neuroectodermal progenitor cell fate | Lineage‐tracing, lineage‐ablation studies, single‐cell sequencing | 27, 28, 29, 30 |
Musashi | Glial and neuronal progenitor cells | mRNA binding protein that promotes down regulation of 26S proteasome. Inhibition of mRNA translation | NA | 50 |
SOX2 | Embryonic stem cells and neural tubes | A member of the family of transcriptional cofactors that plays a role in maintaining pluripotency | Lineage‐tracing | 31, 32, 33, 34 |
Nestin | Neuronal stem cells | Proliferation/migration | FACS | 35, 36 |
S100A4 | Glial cells, satellite cells and neurons | An intracellular calcium‐binding protein that interacts to other proteins to enhance apoptosis, cell motility and angiogenesis | FACS, lineage‐ablation studies | 37 |
Cell surface markers | ||||
CD133 | Hematopoietic, neural stem cells, adult ependymal cells, and endothelial precursor cells | A transmembrane glycoprotein that maintains lipid composition in cell membranes | FACS, xenotransplantation | 38, 39 |
CD15 | Embryonic and adult neural stem/progenitor cells | A Cluster of differentiation antigen and carbohydrate adhesion molecule regulate cell proliferation, self‐renewal, and multilineage differentiation | FACS, magnetic bead sorting, xenotransplantation | 40, 41, 42 |
Integrin α6 | Neural stem cell | A member of the integrin family of extracellular matrix receptors for laminin and platelets | FACS, xenotransplantation | 43, 44 |
CD44 | Mesenchymal cells | A glycoprotein involves in cell migration and self‐renewal | FACS, xenotransplantation | 45 |
A2B5 | Oligodendrocyte progenitor cells | A ganglioside marker that identifies subpopulations of nerve cells in the central nervous system | FACS, xenotransplantation | 46, 47 |
CD24 | Differentiating neuroblasts | A cell adhesion glycosylphosphatidylinositol anchor protein that plays an important role in neural migration, neurite outgrowth and neurogenesis | FACS | 48, 49 |
CD105 | Mesenchymal stem cells | A type I transmembrane protein belonging to the transforming growth factor beta receptor family that involves angiogenesis | FACS, xenotransplantation | 51 |
NA, not available; FACS, fluorescence‐activated cell sorting.
It is noteworthy, some brain CSC markers are known to be associated with more aggressive brain tumor and with worse patient survival. For example, the prognostic significance was identified for CD133 and nestin in the majority of studies, and the coexpression of CD133 and nestin was shown to have better prognostic value than the single markers alone. 55 High levels of Musashi‐1 were found to be associated with poor survival in WHO grade III disease, although the conclusion was made based on very few patients. 56 However, the diversity and application value of CSC markers in the complex heterogeneous tumor microenvironment requires more systematic and in‐depth research.
4. INTRINSIC REGULATORS OF CANCER STEMNESS IN BRAIN TUMOR
The acquisition of uncontrolled self‐renewal is only the first step in the development of cancer. Malignantly transformed cells require the ability to self‐renew as the cancer grows. Many intrinsic and extrinsic regulators are known to be important for maintaining the uncontrolled self‐renewal and tumor‐initiating potential of CSCs (Figure 2).
4.1. Epigenetic regulators
As a well‐recognized cancer hallmark, epigenetic alterations are driven by epigenetic regulators. That a wide range of epigenetic regulators can be influenced by driver mutations in hierarchically organized cancers provides important direct evidence for a role of epigenetic dysregulation in the formation of CSCs. 57 Given that epigenetic regulators is important for the maintenance of NSCs, it is not surprising that many chromatin‐associated proteins are essential for maintenance of the CSCs state as well as tumorigenesis. Helicase, lymphoid specific (HELLS), a chromatin‐remodeling factor, is preferentially expressed in GSCs. Targeting HELLS disrupts GSCs proliferation, survival, and self‐renewal by inducing replication stress and DNA damage, thereby inhibiting GBM growth. 58 Plant homeodomain finger‐containing protein 20 (PHF20) can interact with poly(ADP‐ribose) polymerase 1 (PARP1) and directly binds to promoter regions of stemness genes to regulate the levels of OCT4 and SOX2, thereby sustaining stem cell‐like phenotype of neuroblastoma. 59 In addition, the catalytic subunit brahma related gene 1 (BRG1) of the SWI/SNF complex can maintain the stemness of glioma‐initiating cells by inhibiting the STAT3/TXNIP pathway, resulting in the resistance of glioma‐initiating cells to the chemotherapeutic drugs temozolomide (TMZ) and carmustine. 60 The polycomb repressive complex 1 (PRC1) subunit nervous system polycomb 1 (NSPc1) and the PRC2 subunit enhancer of zeste 2 (EZH2) have been found to inhibit GSCs self‐renewal and proliferation by reducing the expression of RDH16 and CD133, respectively. 61 , 62 In addition, it has been reported that some histone deacetylase (HDAC) inhibitors, such as the HDAC 3 inhibitor RGFP966, suberoylanilide hydroxamic acid, Domatinostat, and HDAC 6 inhibitors, can inhibit the proliferation and self‐renewal of GSCs and promote their dedifferentiation, suggesting that HDACs could be targets for drug therapy against glioma. 63 , 64 , 65 , 66
Noncoding RNAs (ncRNAs) are a group of RNAs that do not have coding functions. A large number of studies have proven that the expression of ncRNAs is heterogeneous in tumors. Some ncRNAs are specifically expressed in CSCs and participate in their functional regulation. There are many studies of the maintenance of brain stemness by miRNAs. MiRNAs can regulate brain CSCs stemness by regulating stemness‐related genes or transcription factors. For example, miR‐296‐5p modulates SOX2 expression, 67 miR‐338‐5p binds to the FOXD1 3′‐UTR, 68 miR‐let‐7b downregulates E2F2 expression, 69 miR‐486‐5p targets PTEN and FoxO1, 70 and miR‐584‐5p targets eIF4E3. 71 MiRNA can also directly or indirectly regulate the signaling pathways associated with brain CSCs self‐renewal; for example, WNT‐β‐catenin signaling is regulated by the effects of miR‐139 on FZD3 and β‐catenin as well as by the effects of miR‐504 on FZD7. 72 , 73 Several lncRNAs have been found to be critical for stemness regulation in the brain. The lncRNA FOXD2 adjacent opposite strand RNA 1 (FOXD2‐AS1) is significantly upregulated in GSCs. Silencing LncRNA FOXD2‐AS1 impairs stemness and proliferation of GSCs, while promotes GSCs apoptosis and differentiation by inhibiting NOTCH signaling. 74 Similarly, silencing of the lncRNA highly upregulated in liver cancer (lncRNA HULC) inhibited the stemness and proliferation of GSCs and promoted the apoptosis and differentiation of GSCs, thereby inhibiting the occurrence and development of glioma. 75 In addition, the lncRNA Miat is required for maintenance of a treatment‐resistant stem‐like phenotype in MB. Absence of Miat leads to differentiation of tumorigenic stem‐cell like MB cells and differentiation of tumorigenic stem‐cell like MB cells into a non‐tumorigenic state. 76 Most recently, circular RNAs has also been demonstrated to regulate pluripotency and tumor cell growth in brain tumor, such as circNDC80, circNCAPG, circRPPH1, and circKPNB1. 77 , 78 , 79 , 80 Taken together, these findings suggest that ncRNAs not only affect the function of non‐CSCs but also regulate the function of CSCs. Studying the effects of these ncRNAs on CSCs can provide a better understanding of brain tumor initiation and progression.
In addition to the abovementioned epigenetic regulators, m6A‐regulated proteins have also recently been linked to the maintenance of stemness in CSCs. For example, methyltransferase 3, N6‐adenosine‐methyltransferase complex catalytic subunit (METTL3) increases GSCs stemness by mediating m6A modification of SOX2 mRNA, thus maintaining SOX2 stability. 81 YTH N6‐methyladenosine RNA binding protein 2 (YTHDF2) is essential for GSCs maintenance because it stabilizes MYC mRNA. 82 Notably, most proteins involved in CSCs maintenance are usually not mutated so that cancer cells can avoid differentiation and maintain their malignant properties.
4.2. Transcription regulators
In addition to octamer‐binding transcription factor 4 (OCT4), SOX2, Nanog homeobox (Nanog), proto‐oncogene, bHLH transcription factor (c‐MYC), and KLF transcription factor 4 (KLF4), which are well‐known regulators of CSCs, some of the less‐studied transcription factors have also been reported to have a role in the maintenance of stem cell‐like features in brain tumor. Transcription factor Yin Yang 1 (YY1) can increase the m6A modification level of MYC mRNA by enhancing the methylase activity of METTL3, thereby promoting the self‐renewal of GSCs. 83 CCAAT/enhancer‐binding protein delta (CEBPD) is proposed to be oncogenic given its relationship with drug resistance. CEBPD can increase the protein levels of SOX2, OCT4, and Nanog, thereby promoting GSCs formation and further contributing to TMZ resistance. 84
In addition, snail family transcriptional repressor 1 (snail) promotes bone morphogenetic protein (BMP) signaling and subsequent cell differentiation and inhibits the survival and self‐renewal of GSCs by decreasing TGFβ1 expression and its downstream signaling. 85 TGF‐β1 signaling is also controlled by the transcription factor paired‐related homeobox 1 (Prrx1), which directly binds to the promoter regions of the TGF‐β1 gene, upregulates the expression of TGF‐β1, and ultimately activates the TGF‐β/smad pathway, thereby increasing stemness acquisition in non‐stem tumor cells and maintaining stemness in GSCs. 86 A recent single‐cell sequencing study revealed that the transcriptional coactivators YAP/TAZ act as the main roadblock of GSCs differentiation and that their inhibition irreversibly locks differentiated GBM cells into a nontumorigenic state, preventing GSCs plasticity and regeneration. 87 The transcription factor orthodenticle homeobox 2 (OTX2) inhibits differentiation and promotes self‐renewal and tumor initiation of MB stem/progenitor cells through semaphorin signaling. 88 , 89
4.3. Metabolism regulators
Research has shown that brain CSCs undergo a unique pattern of metabolic reprogramming that is critical for maintaining their stemness. 90 Indeed, cancer cells undergo changes in metabolism, such as enhanced anaerobic glycolysis, because of upregulation of the transcription of genes related to glycolysis. 91 , 92 Metabolic reprogramming targeting CSCs may be a promising treatment for brain tumor. 93 , 94 The cooperative interplay between the major mitochondrial deacetylase sirtuin‐3 (SIRT3) and the mitochondrial chaperone TNF receptor‐associated protein 1 (TRAP1) in GSCs has been found to increase the respiratory capacity mitochondrial and reduce the generation of reactive oxygen species. This metabolic regulation endows GSCs with metabolic plasticity and maintains stemness. Inactivation of SIRT3 or TRAP1 disrupts their interdependent regulatory mechanisms, resulting in metabolic alterations, loss of stemness, and inhibition of tumor formation by GSCs. 95 Another protein located on mitochondria, voltage‐dependent anion channel 2 (VDAC2), was reported to be critical for the metabolic switch between GSCs and non‐stem tumor cells because it affects phenotype. Disrupting VDAC2 expression in non‐stem tumor cells promoted the activation of glycolytic metabolism, thus potentiating the acquisition of GSC properties. Forced expression of VDAC2 in GSCs suppressed glycolytic activity and disrupted GSC features. 96 Combined metabolomic and genomic analyses revealed that phosphoribosyl pyrophosphate synthetase 1, which is a purine synthase and catalyzes the first step of de novo purine synthesis, promotes GSCs self‐renewal, growth and tumor formation in vivo. 97 Another independent study has also shown that purine synthesis inhibition reduces GBM stemness through attenuated mitochondrial respiration and mitochondrial spare respiratory capacity. 98
The brain CSC phenotype is also associated with the modulation of lipid synthesis by fatty acid synthase (FASN) and acyl‐CoA synthetase VL3 (ACSVL3). FASN, a key lipogenic enzyme, controls de novo synthesis of lipids. Inhibition of FASN reduces the expression of the GSC markers SOX2, nestin and fatty acid binding protein and increases the expression of glial fibrillary acidic protein, suggesting that FASN has a key role in the maintenance of GSCs stemness. 99 ACSVL3 has been reported to be up‐regulated in malignant brain tumor tissues and is involved in tumorigenesis. Downregulating ACSVL3 decreased the expression of markers and regulators associated with stem cell self‐renewal, including CD133, Musashi‐1, SOX2, and aldehyde dehydrogenase, suggesting that ACSVL3 participates in the maintenance of GSCs and affects the tumor‐initiating capacity of GSCs. 100
In addition, recent research has shown that isocitrate dehydrogenase (IDH) mutations have a significant impact on brain CSCs. 101 IDH, an important metabolic enzyme in the tricarboxylic acid cycle, has been found to mutate frequently in brain tumors. Mutant IDH enzyme activity results in the conversion of α‐KG into 2‐hydroxyglutarate, which can promote hypermethylation of CpG islands and altered histone methylation. 102 , 103 , 104 The global epigenomic reprogramming induced by IDH mutation cancer leads to differentiation arrest, upregulation of stem cell‐associated pathways and the development of a CD24‐positive cell population in gliomas. 101 , 103 , 105 , 106 , 107 , 108 Although recent studies have shed light on the research about IDH mutation and CSCs, many questions remain unanswered. For example, it is not clear how IDH mutations affect the differentiation and self‐renewal capacities of brain CSCs, or how these mutations alter the metabolic and epigenetic profiles of these cells. Overall, the interaction between IDH mutations and brain CSCs is complex and multifaceted, and further research is needed to fully understand the mechanisms involved.
4.4. Kinases
Kinases have attracted growing interest from researchers for their therapeutic potential. The cell cycle‐regulated kinase aurora kinase A (AURKA) has been reported to interact directly with AXIN, disrupt the AXIN/GSK3β/β‐catenin complex, and stabilize β‐catenin, thus activating Wnt signaling to promote the self‐renewal of glioma‐initiating cells. 109 Blockade of AURKA signaling with alisertib induces significant antitumor activity in bevacizumab‐resistant patient‐derived orthotopic models of GBM. 110 DNA‐dependent protein kinase catalytic subunit (DNA‐PKcs) was found to be preferentially expressed in GSCs. DNA‐PKcs can phosphorylate SOX2 at S251, which stabilizes SOX2, thereby promoting GSCs maintenance. Pharmacological inhibition of DNA‐PKcs attenuates GBM growth and sensitizes GBM to radiotherapy. 111
In addition to protein kinases that regulate the cell cycle, other kinases have also been reported to affect the stemness of GSCs. Bruton's tyrosine kinase (BTK), a nonreceptor tyrosine kinase, plays a key role in GBM tumorigenesis and GSCs maintenance/generation by regulating CD133 and Akt/mTOR signaling. Inhibition of BTK by ibrutinib reduces GBM formation and affects the stem cell phenotype. 112 Nonreceptor tyrosine kinase bone marrow X‐linked maintains the self‐renewal and tumorigenic potential of GSCs through activating STAT3 signaling. 113 STAT3 signaling is also regulated by the receptor tyrosine kinase Mer to maintain GSCs self‐renewal. 114 In addition, the serine/threonine kinase maternal embryonic leucine‐zipper kinase can bind to and phosphorylated EZH2, and the interaction of the two proteins can regulate the self‐renewal of sonic hedgehog subtype MB. 115 Taken together, these findings demonstrate the important role of kinases in maintaining the uncontrolled self‐renewal of brain CSCs.
4.5. Secretory molecules
Some secreted molecules have also been reported to regulate CSC stemness. For instance, interleukin‐33 (IL‐33), activate the JNK signaling pathway through ST2 and increase the expression of key transcription factors that control stemness processes. 116 The secreted protein Wnt‐induced signaling protein 1 (WISP1) maintains GSCs through integrin α6β1‐Akt signaling in an autocrine manner. 117 BMP4 suppresses GSCs proliferation by downregulating cyclin D1 levels and promotes GSCs apoptosis by inducing Bax and inhibiting Bcl‐2. 118 Another research team found that BMP4 can affect the lineage selection and phenotypic plasticity of GSCs. 119 In addition, a series of studies have reported that vascular endothelial growth factor (VEGF) promotes the self‐renewal and growth of GSCs by mediating STAT3 activation 120 and augmenting VEGF receptor 2 (VEGFR2) signaling cascades. 121 , 122 VEGFR2 inhibition reduces the self‐renewal capacity of GSCs, forming tubules and promoting vascularization and the establishment of vasculogenic mimicry. 123
4.6. Other regulators
In addition to the abovementioned epigenetic regulators, transcriptional regulators, metabolic regulators, kinases, and secretory factors, many regulators that cannot be broadly classified into the above groups play an important role in the maintenance of brain CSCs stemness. For example, ID4 enhances SOX2 protein expression by inhibiting miR‐9*, thereby conferring stemness and chemotherapy resistance to glioma cells and GSCs. 124 The expression of fas cell surface death receptor (CD95) is correlated with stemness in GBM tumors and cells and serves as a prognostic biomarker. The combination of TMZ with a CD95 inhibitor significantly abrogates tumor sphere formation. 125 Inhibition of the T‐type calcium channel calcium voltage‐gated channel subunit alpha1 H inhibits GSCs growth by inhibiting the pro‐survival AKT/mTOR pathway and stimulating the pro‐apoptotic survivin and BAX pathways. 126
4.7. Signaling pathways
Despite the fact that we have described a range of regulators that regulate brain tumor stemness, it is clear that many of them converge into commonly altered signaling pathways. These signaling pathways include the Wnt‐β‐catenin and Notch pathways. Wnt‐β‐catenin signaling is promoted by overexpression of solute carrier family 34 member 2, overexpression of human tripartite motif 59, and inhibition of period circadian clock 2. 127 , 128 , 129 Notch signaling is promoted by overexpression of transient receptor potential melastatin‐related 7, ligand of numb protein 1, and lysine demethylase 5B. 130 , 131 , 132 In addition, cyclophilin A and arsenite‐resistance protein 2 have also been demonstrated to increase the stemness properties of GSCs by activating WNT‐β‐catenin signaling. 133 , 134 STAT3 signaling is also frequently altered in brain CSCs and is required for brain CSCs to proliferate and maintain pluripotency. 135 CD109 physically interacts with glycoprotein 130 to promote IL‐6/STAT3 pathway activation, which drives GSCs plasticity and chemoresistance. 136 Similar findings were observed in GBM; RBPJ can increase GBM cell proliferation, invasion, stemness, and tumor initiating ability by enhancing the activation of the IL‐6/STAT3 pathway. 137 In addition, insulin‐like growth factor 1 receptor regulates CSC‐like properties in NB cells via the activation of the STAT3/AKT pathway. 138
5. EFFECTS OF THE TUMOR MICROENVIRONMENT IN BRAIN TUMOR
Stem cells of normal tissues exist in a specific microenvironment called the stem cell niche, which consists of a variety of stromal cells (such as immune cells and mesenchymal), vascular networks, components of the ECM, and soluble factors. Similar to normal stem cells, CSCs also appear to depend on a similar environment, termed the CSC niche, which maintains the unique ability of CSCs to self‐renew and produce more differentiated progenitors while remaining undifferentiated themselves. 139 , 140 , 141 In this section, we focus on the most important factors involved in CSCs–stroma interactions (Figure 3). These factors include hypoxia, acidosis, ECM stiffness, and endothelial cells (ECs).
5.1. CSCs and hypoxia
Hypoxia is a common characteristic of the tumor microenvironment that promotes the proliferation of cancer cells by overcoming the limitations of blood supply. Hypoxia is known to promote CSC stemness. 142 , 143 Earlier studies have found that hypoxia increases the expression of CD133, SOX2, OCT4, and nestin in CD133‐positive GBM cells and increases the self‐renewal capacity of CD133‐positive GBM cells. 144 Another study showed that hypoxia increases the expression of OCT4 by inducing the expression of the demethylases TET1 and TET3, thereby promoting the stemness of glioma cells. 145 Hypoxia can also promote GSCs proliferation and maintain stem cells characteristics via activating Notch1 and OCT3/4, thus affecting the biological characteristics of glioma cells. 146 In addition, hypoxia‐inducible factor 1 alpha (HIF‐1α) and HIF2α were found to be critical for the function of CSCs. 146 , 147 , 148 , 149 Stabilization of HIF1α leads to expansion of the GSCs population in tumors. Conversely, silencing HIF1α abolishes the self‐renewal capacity of GSCs and results in reduced tumorigenic potential in vivo. 150 HIF1α/HIF2α induce the dedifferentiation of glioma cells into CSCs through SOX2 under hypoxic conditions, thereby promoting chemoresistance of glioma cells. 151 Other evidence also supports that differentiated GBM cells undergo dedifferentiation under hypoxic conditions to generate GSCs. 152 Simultaneous knockdown of HIF1α and HIF2α inhibits cell cycle arrest but promotes the proliferation and chemosensitization of GBM cells while reducing their stemness. 152 Taken together, these findings demonstrate that hypoxia and HIFs exert an important influence in maintaining the GSCs phenotype through various mechanisms.
5.2. CSCs and acidosis
One of the hallmarks of the brain tumor microenvironment is low pH. Normal brain tissue has been reported to have a pH of approximately 7.1, and solid tumors, including GBM, have an average extracellular pH of 6.8. 142 Acidosis can act synergistically with hypoxia to upregulate HIFs and GSCs maintenance in glioma through HSP90. 153 Genetic or pharmacological inactivation of HSP90 suppresses the increase in HIF levels and abrogates the self‐renewal and tumorigenic properties of acidosis‐induced CSCs. 153 Acidic stress can also promote the GSCs phenotype independently of hypoxia, but the mechanism may still involve HIF2α expression. For example, low pH leads to the expression of HIF2α and HIF target genes, promoting the CSC phenotype. 154 Importantly, acid stress can also affect cellular metabolism. It has been shown that GSCs cultured under low pH conditions exhibit increased de novo purine nucleotide biosynthesis. 155 In addition, in an acidic microenvironment, 25‐hydroxy vitamin D3‐24‐hydroxylase (CYP24A1) is elevated to catalyze the rapid degradation of vitamin D, which in turn inhibits the expression of stem cell markers and attenuates the acidosis‐induced increase in self‐renewal ability and mitochondrial respiration of GSCs. 156
5.3. CSCs and ECM stiffness
As an important component of the tumor microenvironment, the ECM is mainly composed of glycoproteins, glycosaminoglycans, and proteoglycans. It is both an extracellular scaffold and a dynamic compartment where components are constantly deposited, degraded, or remodeled. Changes in the ECM are not only critical for tissue structure but also affect several biological mechanisms. Indeed, an increasing number of studies have reported that the ECM stiffness of the tumor microenvironment plays an important role in regulating CSCs during tumorigenesis. 157 CD133+ glioma cells express increased levels of A disintegrin and metalloproteinase 17 (ADAM17) and a disintegrin and metalloproteinase domain‐like protein decysin 1 (ADAMDEC1), two metalloproteinases that degrade ECM proteins and promote stemness in CSCs. 158 , 159 The ECM marker laminin α2 is expressed in the perivascular GSC niche, where it contributes to the maintenance of GSCs and protects GSCs from radiation‐induced damage. 160 3D porous scaffolds composed of different ECMs have been found to enrich GSCs and increase the expression of GSC biomarkers. 161 Culturing glioma cells on stiff polyacrylamide hydrogels increased their proliferation and CD133 expression. 162 Greater matrix stiffness significantly upregulated BCL9L expression, thereby activating Wnt/β‐catenin signaling and ultimately enhancing the stemness of glioma cells. 162
5.4. CSCs and ECs
Brain CSCs are enriched in the perivascular niche where ECs are crucial to control CSC stemness. 163 , 164 It has been reported that ECs are responsible for regulating the growth and self‐renewal and maintaining the stemness of brain tumor cells through intracellular signaling pathways such as the Hedgehog and Notch pathways. 165 , 166 , 167 , 168 , 169 ECs can also regulate the survival, growth, and self‐renewal of brain CSCs by secreting factors such as IL‐8 and bFGF, thereby promoting tumor growth. 163 , 170 , 171 , 172 , 173 , 174 ECs have also been found to promote GSCs growth and self‐renewal to enhance GBM invasiveness by releasing extracellular vesicles. 175 In turn, brain CSCs can encourage ECs to form blood vessels through multiple mechanisms, providing essential nutrients for the growth of brain tumor. 176 , 177 , 178 , 179 Interestingly, brain CSCs can generate blood vessels by transdifferentiation into ECs and pericytes. 180 , 181 , 182
6. BRAIN CSCs–IMMUNE SYSTEM INTERACTIONS
Studies have begun to clarify the relationship between brain CSCs and immune cells. 183 , 184 CSCs can indirectly promote tumor development by impairing immune surveillance within the tumor microenvironment. In addition, CSCs themselves can evade the immune system by altering their immunogenicity to avoid immune‐mediated rejection in vivo. In this section, we will discuss the interaction between brain CSCs and immune cells (Figure 4).
6.1. CSCs and tumor‐associated macrophages
In studies of brain CSCs and immunity, tumor‐associated macrophages (TAMs) are one of the most well‐studied immune cell types. In the brain tumor TME, TAMs include tissue‐resident microglia and bone marrow‐derived infiltrating macrophages 185 that aggregate in perivascular and necrotic areas in response to ischemia. 186 , 187 On one hand, GSCs‐secreted periostin (POSTN) promotes TAM recruitment and supports the tumor‐promoting M2 subtype. 188 WISP1, which is preferentially expressed and secreted by GSCs, stimulates M2 TAM polarization through the integrin α6β1–Akt pathway. 117 On the other, TAMs produce pleiotropin (PTN) in a reciprocal manner, which stimulates the maintenance of GSCs through the receptor PTPRZ1, thereby promoting the malignant growth of GBM. 189 , 190 TAM also produces chemokine (C‐C motif) ligand 8 (CCL8), which promotes GBM cell invasion and stemness through ERK1/2 signaling. 191 Further study of interaction found that IL‐11 secreted by GBM‐associated microglia/macrophages can activate STAT3–MYC signaling in GBM cells, thereby inducing stem cell states that confer enhanced tumorigenicity and resistance to the standard‐of‐care chemotherapy TMZ. 192 Small extracellular vesicles released by TAMs were also found to transfer miR‐221‐3p, miR‐22‐3p, and miR‐27a‐3p to GSCs, and these miRNAs promoted several mesenchymal characteristics of proneural GSCs by targeting CHD7, in turn promoting chemoresistance of GSCs. 193 However, in addition to the classical role of TAMs in promoting tumor growth, increasing evidence shows that these cells have antitumor activity in the immunosuppressive tumor microenvironment. For example, CD47 has been identified as a do not eat me signal in lung and pancreatic cancers; CD47‐expressing lung and pancreatic CSCs escape phagocytosis of macrophages. 194 , 195 Given that CD47 is also highly expressed on GSCs and is associated with poor clinical outcomes, it is also possible that GSCs escape macrophage clearance. Treatment with an anti‐CD47 antibody led to increased macrophage‐mediated phagocytosis of glioma cells and GSCs and had no obvious side effects on normal cells. 196 However, the efficacy and mechanism of this treatment need to be further explored in vivo.
6.2. CSCs and myeloid‐derived suppressor cells
Myeloid‐derived suppressor cells (MDSCs) are myeloid‐derived immature cells with immunosuppressive capabilities. Immunosuppressive MDSCs are found in the brains of GBM patients and are in close proximity to self‐renewing CSCs. Secretion of migration inhibitory factor (MIF) by CSCs promotes MDSC‐mediated immunosuppression in a CXCR2‐dependent manner, thereby promoting GBM immune evasion. 197 Another study showed that GSCs‐derived exosomes inhibited T‐cell immune responses by acting on monocyte maturation rather than directly interacting with T cells. 198
6.3. CSCs and dendritic cells
Dendritic cells (DCs) capture, process, and present antigens to T lymphocytes to generate tumor‐specific immune responses. GSCs upregulate CD39 expression, which in turn reduces the extracellular ATP concentration around GSCs to maintain an immunosuppressive microenvironment. 199 The combination of doxorubicin and CD39 inhibition increases the extracellular ATP concentration around GSCs, thereby recruiting DCs to phagocytose damaged GSCs and activating T cells to kill target cells. 199 However, studies on the interaction of GSCs with DCs have largely focused on developing vaccines. 200 , 201 , 202 , 203
6.4. CSCs and mast cells
Mast cells (MCs) are granulocytes that play a crucial role in various inflammatory conditions, including cancer. Currently, the role of MCs in cancer is still controversial, their support or inhibition of tumor progression depends on the type and malignant degree of the cancer. 204 MCs infiltrate human and mouse glioma in response to multiple signals in a glioma grade‐dependent manner. 205 Further studies found that MCs activated by glioma cells reduce the proliferation, migration and self‐renewal capacity of glioma cell, and decrease the expression of stemness markers but in turn the differentiation of promote glioma cell. 206 Specifically, MCs exert these effects via down‐modulation of GSK3β expression and suppression of STAT3 activation. 206
6.5. CSCs and natural killer cells
Natural killer (NK) cells are a subtype of cytotoxic lymphocytes that plays an important role in the innate immune system and can directly identify and kill cancer cells. NK cells have been found to recognize and kill GBM cells with stem‐like properties. 207 This targeted killing is related to the fact that GSCs do not express protective HLA class I molecules but express various ligands of activating NK receptors that trigger optimal NK cell cytotoxicity. 207 IDH‐mutant GSCs were found to have reduced NK group 2D (NKG2D) ligand expression and were thus resistant to NK cell‐mediated lysis. Decitabine‐mediated hypomethylation increases NKG2D ligand expression in IDH‐mutant GSCs and restores NK‐mediated killing of IDH‐mutant GSCs. 208 One study has established that GSCs are more susceptible to NK cell lysis than differentiated cells due to killer immunoglobulin‐like receptor‐human leukocyte antigen ligand mismatch and activation receptor–ligand interactions. 209 Another study found that GSCs promote NK cell dysfunction by regulating the αv integrin/TGF‐β axis. Targeting the αv integrin/TGF‐β axis enhances NK cell killing of GSCs and suppresses tumor growth. 210 In addition, blocking the PD‐1/B7H1 pathway encourages mouse NK cells to kill GSCs, and PD‐1‐inhibited NK cells can be a viable approach for immunotherapy against GBM. 211
6.6. CSCs and tumor‐infiltrating lymphocytes
Cytotoxic T lymphocytes (CTLs) are key players in cancer immunotherapy. CTLs mediate tumor cell killing by recognizing major histocompatibility class I (MHC‐I) molecules on the tumor cell surface. However, abnormalities in MHC‐I expression are frequently seen in various malignancies. 212 , 213 Downregulation or deficiency of the expression of MHC‐I molecules and antigen processing machinery (APM) components in GSCs reduces T‐cell function and increases evasion of systemic immune surveillance. 214 Increased expression of MHC‐I and APM components enhanced CTL‐mediated GSCs killing and the antitumor effect of a tumor lysate vaccine. 214 GSCs can also indirectly influence brain tumor growth by regulating the activity of regulatory T cells (Tregs). Tregs are T cells with immunosuppressive effects that not only inhibit effector T cells activation by presenting surface antigens 215 but also suppress other immune cells functions by secreting cytokines (TGF‐β, IL‐10, etc.) and induce other T cells to transform into Tregs. 216 , 217 Studies have shown dense infiltration of Tregs in glioma, where they induce the expression of the stemness‐related genes CD133, nestin, SOX2, and so on by the NF‐κB‐IL6‐STAT3 signaling pathway, thereby increasing cancer stemness and promoting tumor growth. 210 Blockade of the IL‐6 receptor with tocilizumab inhibits Treg‐induced cancer stemness and tumor growth in a glioma xenograft model. 210 Furthermore, Iwata et al. 218 found that inducible T‐cell co‐stimulator ligand (ICOSLG) was preferentially upregulated in mesenchymal GSCs in a TNF‐α/NK‐kB‐dependent manner. The expression of ICOSLG in mesenchymal GSCs mediates Treg cell expansion and IL‐10 production, thereby promoting GBM progression. Knockout of ICOSLG significantly reduced GBM tumor growth in immunocompetent mice. 218
7. THERAPIES TARGETING CSCS IN BRAIN
In order to obtain more effective treatments, novel approaches to target brain CSCS are underway. These therapeutic approaches include targeting CSC surface markers, targeting intrinsic and extrinsic regulators of CSCs and targeting immunotherapy of CSCs (Figure 5 and Table 2).
TABLE 2.
Drug name | Target | Combination | Phase (O‐III) | Sample size | ClinicalTrials.gov identifier | Current status |
---|---|---|---|---|---|---|
Alisertib | AURKA | Hyperfractionated radiation therapy + stereotactic radiosurgery | Phase I | 17 | NCT02186509 | Completed, Has results |
BBI608 | STAT3 | TMZ | Phase I/II | 34 | NCT02315534 | Completed, Has results |
Pamiparib | PARP1 | TMZ + radiation | Phase I/II | 116 | NCT03150862 | Completed, Has results |
Asunercept | CD95L | Phase I | 10 | NCT02853565 | Completed | |
Regorafenib | Angiogenesis | Lomustine | Phase II | 119 | NCT02926222 | Completed, Has results |
Bevacizumab | VEGF | Standard radiotherapy + durvalumab | Phase II | 159 | NCT02336165 | Completed, Has results |
Bevacizumab | VEGF | GM‐CSF + cyclophosphamide + ERC1671 | Phase II | 84 | NCT01903330 | Recruiting |
Allogeneic GSC lysate DC vaccine | Allogeneic GSC lysate | TMZ, field radiation | Phase I | 39 | NCT02010606 | Completed |
Autologous GSC lysate DC vaccine | Autogeneic glioma stem‐like cells (A2B5+) lysate | Surgery + chemotherapy + radiotherapy | Phase II | 100 | NCT01567202 | Recruiting |
AV‐GBM‐1 | Autologous tumor‐associated antigens | Phase II | 55 | NCT03400917 | Active, not recruiting | |
Tumor stem cell derived mRNA‐ transfected DC vaccine | Tumor stem cell‐derived mRNA | Phase I/II | 20 | NCT00846456 | Completed | |
ATTAC‐II | pp65 | Td + saline | Phase II | 175 | NCT02465268 | Recruiting |
IL13Ra2 CAR T | IL13Ra2 | Ipilimumab + nivolumab | Phase I | 60 | NCT04661384 | Recruiting |
Nivolumab | PD‐L1 | Ipilimumab | Phase III | 529 | NCT02017717 | Active, not recruiting, Has results |
Nivolumab | PD‐L1 | TMZ + radiotherapy | Phase III | 560 | NCT02617589 | Completed |
Nivolumab | PD‐L1 | TZM + radiotherapy | Phase III | 716 | NCT02667587 | Active, not recruiting, Has results |
Nivolumab and ipilimumab | PD‐L1 and CTLA‐4 | TMZ | Phase I | 32 | NCT02311920 | Completed |
Nivolumab, ipilimumab, and bevacizumab | PD‐L1, CTLA‐4, and angiogenesis | Hypofractionated stereotactic irradiation | Phase I | 22 | NCT02829931 | Completed |
PNOC025 | CD47 | Phase I | 24 | NCT05169944 | Recruiting |
TMZ, temozolomide; GM‐CS, granulocyte‐macrophage colony‐stimulating factor; Td, tetrodotoxin. Data sources—ClinicalTrials.gov (https://clinicaltrials.gov/ct2/home).
7.1. Targeting CSC surface markers
The role of CD133 as a brain CSC marker has been extensively studied. Lentivirus‐mediated silencing of CD133 in human GBM neurospheres has been reported to impair neurosphere cell self‐renewal and tumorigenicity, 219 implying that CD133 can be used as a therapeutic target in GBM. In a study of CD133+ xenograft‐carrying immunodeficient mice, treatment with carbon nanotubes conjugated to an anti‐CD133 monoclonal antibody followed by near‐infrared laser irradiation efficiently targeted and destroyed GBM CSCs in vitro and in vivo. 220 Polymer‐micellar nanoparticles (NPs) composed of poly(lactic‐co‐glycolic) acid and poly(styrene‐b‐ethylene oxide) were developed by a double emulsion technique loading TMZ and/or idasanutlin, and these NPs targeted the CD133 antigen expressed on the surfaces of GSCs and killed a subpopulation of CSCs. 221 In addition, a dual‐targeting immunoliposome encapsulating TMZ (Dual‐LP‐TMZ) was developed by using angiopep‐2 and an anti‐CD133 monoclonal antibody for BBB transcytosis and specific delivery to GSCs, respectively. Dual‐LP‐TMZ increased the cytotoxicity of GSCs in vitro and significantly decreased brain tumor size in vivo. 222 Notably, our current understanding of brain CSCs is largely influenced by NSC biology. NSCs and CSCs share many identified markers, such as CD133 and integrin 6, so eradication of CSCs in brain tumor by targeting these markers may also lead to a reduction in NSCs or neural tissue cells, which may affect brain function.
7.2. Targeting intrinsic and extrinsic regulators of CSCs
Drugs that target brain CSCs‐associated self‐renewal pathways are not discussed in this section because they have been thoroughly reviewed elsewhere. 223 , 224 , 225 , 226 At present, many inhibitors targeting the regulation of CSC factors have been successfully developed and applied in clinical research. Vorinostat, a potent oral HDAC inhibitor, has been shown to be a potent sensitizer to standard radiotherapy and TMZ in preclinical studies and has the potential to increase the cytotoxic activity of radiotherapy and TMZ in GBM. 227 , 228 Clinical trials of HDAC inhibitors, including valproic acid, SAHA, and panobinostat, are ongoing in patients with various cancers. Alisertib (MLN8237), an oral selective AURKA inhibitor, synergizes with TMZ to inhibit the growth of GBM and increase the effect of ionizing radiation on GBM tumor stem‐like cells. 229 A phase I clinical trial of alisertib combined with fractionated stereotactic re‐irradiation therapy (FSRT) (NCT02186509) showed that FSRT combined with alisertib is safe and well tolerated in recurrent high‐grade glioma. 230 BTK is highly expressed in clinical glioma samples, and is a prognostic marker and molecular therapeutic target for glioma. Preclinical data obtained from GBM cell lines and primary tumors showed that ibrutinib (a targeted BTK blocker) has strong antitumor activity. 112 , 231 A recently completed phase I‐II clinical trial (NCT02315534) tested the combination of BBI608 (a STAT3 inhibitor) and TMZ in patients with relapsed or advanced GBM with encouraging results. The combination of BBI608 with TMZ has the potential to target GSCs. The DNA repair enzyme PARP1 is highly expressed in primary GBM patient samples and expressed at significantly lower levels in normal neurons from controls and GBM patients. 232 Inhibition of PARP1 restores GSCs sensitivity to TMZ, 233 enhances glioma‐initiating cell sensitivity to radiation, and inhibits glioma‐initiating cell growth, self‐renewal, and DNA damage repair. In vivo combination treatment with a PARP inhibitor and radiation attenuated radiation‐induced glioma‐initiating cell enrichment and suppressed the tumor‐initiating CSC phenotype. 234 , 235 In preclinical studies, the combination of pamiparib (PARP1 inhibitor) and TMZ overcame TMZ resistance and showed significant tumor suppression. 236 The combination of pamiparib and TMZ is currently being evaluated in a clinical trial (NCT03150862).
CD95 maintains the stem‐like and nonclassical EMT programs of GBM, 125 and a phase I clinical trial (NCT02853565) in newly diagnosed Asian patients showed that asunercept (which selectively binds to CD95 ligand (CD95L) and disrupts CD95/CD95L signaling) added to standard radiotherapy/TMZ was safe and well tolerated, with encouraging efficacy when administered at 400 mg/week. 237 Mibefradil is a selective T‐type calcium channel blocker that inhibits the growth of glioma cells and increases the sensitivity of GSCs to chemotherapy. A phase I clinical trial showed that mibefradil was well tolerated in patients with high‐grade glioma. 238
Various small molecules (such as 17‐AAG) and analogs of naturally occurring compounds (such as clofoctol and luliconazole) are able to suppress brain CSCs growth. Apigenin (a flavonoid compound present in a variety of edible plants and health foods), 239 baicalein (an aromatic tropolone found in Chamaecyparis taiwanensis), 240 epigallocatechin gallate (a bioactive polyphenol in green tea) 241 and saccharina japonica (a member of the Phaeophyceae (brown algae) family) 242 have all been separately demonstrated to target GSCs by attenuating HIF‐1α‐mediated glycolysis, targeting Nrf2 regulation, decreasing P‐glycoprotein inhibition and degrading EGFR/EGFR variant III, respectively.
7.3. Targeting vascular niche of CSCs
Conventional approaches for cancer therapy have been developed without highlighting the tumor microenvironment, so a new focus targeting cancer therapy is to limit cancer progression by targeting the unique microenvironment of CSCs. Disruption of the perivascular niche may be a key approach to target CSCs. Directly targeting ECs, which make up tumor blood vessels, is an alternative approach for destabilizing CSCs function. 243 Numerous clinical trials evaluating antiangiogenic therapies have been reported with mixed results (75 clinical trials, 53 of which involved bevacizumab). Most antiangiogenic therapies (such as cilengitide, cediranib, or bevacizumab) have not demonstrated significant improvement in OS and quality of life in patients. 244 This limited efficacy may be related to VEGF‐independent angiogenesis, the inefficient delivery of antiangiogenic factors to tumor. 245 Various attempts have been made to develop innovative therapies based on antiangiogenic factors that target angiogenesis via different mechanisms of action. Recently, regorafenib (NCT02926222), a kinase inhibitor that regulates neoangiogenesis, has shown encouraging results when used as monotherapy for recurrent GBM. 246
Recently, antiangiogenic therapies have been proposed in combination with immunotherapies, such as the Gliovac study (vaccine‐based therapy plus bevacizumab) (NCT01903330) and Durvalumab (immune checkpoint inhibitors (ICIs) plus bevacizumab) (NCT02336165). Although there have not yet been any successful phase III trials of combined anti‐VEGF therapy and immunotherapy for brain tumors, the combination strategies targeting brain TME remains an attractive approach.
7.4. CSC‐directed immunotherapy
The brain tumor microenvironment is highly immunosuppressive because of its weak immunogenicity and the immunosuppressive properties of many cells, including CSCs, cancer cells, and immunosuppressive tumor‐infiltrating immune cells. 247 , 248 Therefore, immunotherapy may be a promising avenue for the treatment of brain tumor. Approaches include the use of CSC‐derived materials as antigen sources to produce DC vaccines, using genetically engineered chimeric antigen receptor (CAR) T cells to generate CSC‐specific T cells, and using monoclonal antibodies with direct inhibitory effects and/or the ability to induce antibody‐dependent cellular cytotoxicity to target CSC‐associated cell surface markers.
7.4.1. DC vaccines
CD133 is a tumor stem‐like cell antigen that may elicit strong immune responses in patients with malignant glioma. 249 Phase I studies have confirmed that DC vaccines with GSC‐related antigens are safe in patients with recurrent glioma. 249 A phase I study of an autologous DC vaccine pulsed with allogeneic stem‐like cell line lysate in patients with newly diagnosed or recurrent GBM has produced promising results (NCT02010606). In the study, cytotoxic T‐cell reactions were induced in some vaccinated patients. 250 In addition, the efficacy of autologous DCs loaded with autogeneic glioma stem‐like cells (A2B5+) administered as a vaccination in adults with GBM multiforme is being assessed in a phase II study (NCT01567202). Other groups are utilizing patient surgical specimens to culture GSCs and train autologous DCs (NCT03400917). In addition to GSC lysate, mRNA from patient‐derived GSCs can be used to generate personalized vaccines. One phase I trial (NCT00846456) demonstrated the safety of this approach as well as a nearly 2.9 times longer progression‐free survival (PFS) than that achieved with matched controls. 251 Additionally, the phosphoprotein pp65, a product of human cytomegalovirus, is an intriguing DC vaccine target. In a small clinical trial, a pp65 DC vaccine and a dose‐enhanced TMZ cycle were combined, and pp65‐specific cellular responses were evaluated (NCT00639639). Preliminary findings showed that the OS was more than doubled and the PFS was tripled when compared with historical controls. 252 Of note, four patients remained progression‐free 59–64 months after diagnosis. Phase II of this trial (NCT02465268) is currently ongoing.
7.4.2. CAR T cells
CAR T cells targeting several brain CSCs ‐specific antigens have been developed, such as CAR T cells targeting the CD133 epitope AC133. These AC133‐specific CAR T cells can recognize and eradicate patient‐derived AC133(+) GSCs and improved OS in treated mice. 253 , 254 In addition, CAR T cells can also be used to target non‐CSC‐specific peptides that are also upregulated in brain CSCs, such as IL‐13 receptor α2 (IL13Rα2). Intracranial delivery of the IL13Rα2‐directed CD8+ CAR T‐cell clones into the resection cavity in three patients with recurrent disease was well tolerated. 255 A phase I clinical trial of L13Rα2‐CAR T cells as treatment for patients with leptomeningeal disease from MB, GBM or ependymoma is ongoing (NCT04661384).
7.4.3. Antibodies
Antibodies have been utilized for cancer treatment for two decades and have greatly contributed to tumor immuno‐oncology by inducing direct cell killing and regulating cellular immune response. 256 Monoclonal antibodies called ICIs have been developed to enhance the activity of T cells by blocking negative regulatory pathways mediated by surface receptors known as immune checkpoints. 257 , 258 Among the various immune checkpoints being studied, programmed cell death protein 1 (PD‐1) and cytotoxic T lymphocyte associated antigen 4 (CTLA‐4) are the most commonly studied molecules. 259 The CheckMate‐143 (NCT02017717) phase I clinical trial evaluates the effectiveness and safety of nivolumab (PD‐1 inhibitor) alone or in combination with ipilimumab (CTLA‐4 inhibitor) in recurrent GBM. Interestingly, nivolumab monotherapy has a higher median OS than nivolumab plus ipilimumab; and moreover, higher adverse events is observed only when the combination is administered. These findings suggest a requirement for further investigation. In the CheckMate‐143 phase III clinical trial, the use of the PD‐1 antibody nivolumab does not improve survival compared with the VEGF inhibitor bevacizumab. 260 Of note, nivolumab may be beneficial for patients with MGMT promoter methylation and without baseline corticosteroid use. 260 Therefore, subsequent studies evaluate nivolumab in patients without and with methylated MGMT promoter. 261 The results from the CheckMate‐498 Phase III trial showed that nivolumab does not confer a survival advantage over TMZ in patients without MGMT promoter methylation (NCT02617589). 261 Similarly, in the checkmate‐548 trial assessing standard‐of‐care plus nivolumab or placebo in patients with newly diagnosed GBM with MGMT promoter methylation, no significant improvement in survival is observed (NCT02667587). 262 However, it is worth noting that patients with PD‐L1 expression levels greater than 5% in this study show a trend toward improved PFS. Additionally, clinical trials (NCT02311920, NCT02829931) assessing ipilimumab therapies have been completed, but the results have not yet been published.
In addition to CTLA‐4 and PD‐1 blockade, monoclonal antibodies targeting other checkpoint molecules, such as CD47 antibody, have been investigated in clinical trials for brain tumors. It was previously found that anti‐CD47 antibody treatment increased the phagocytosis of GSCs by macrophages. 196 Therefore, using anti‐CD47 monoclonal antibodies to enhance phagocytosis may be another promising strategy to target CSCs. Currently, the safety of magrolimab, a first‐in‐class anticancer therapeutic agent targeting the CD47‐signal receptor protein‐alpha (SIRP‐alpha) axis, is being tested in children and adults with recurrent or progressive malignant brain tumors (NCT05169944).
At present, the efficacy of ICIs in brain tumors has been disappointing, possibly related to the excessive presence of MDSCs and Tregs and insufficient tumor‐infiltrating lymphocytes, leading to poor downstream checkpoint‐blocking effects.
7.5. Therapeutic resistance of CSCs
Single‐cell sequencing and epigenetic analysis methods reveal new insights into CSCs diversity, plasticity, dynamic cell states, redundant escape mechanisms, and enhanced adaptability to harsh microenvironments, which are critical to understanding CSCs resistance to current cancer therapies. Currently, conventional therapy focuses on dividing cells, and CSCs have been thought to be in a dormant or quiescent phase after tumor formation. 263 The relative quiescent of CSCs enable CSCs to survive chemotherapy and radiotherapy, evade the immune system, and promote tumor progression or recurrence. For example, quiescent CSCs are resistant to TMZ treatment in a genetically engineered mouse model of glioma. However, after diphtheria toxin‐mediated ablation of CSCs, tumor sensitivity to TMZ therapy is enhanced. 9 In targeted therapy with response receptor tyrosine kinase inhibitors, GSCs can reversibly transition to a slow cycling, quiescent state through high expression of histone lysine demethylase 6A /B and Notch signaling, thus transiting GSCs to a less sensitive state in the treatment response. 264 These slow‐cycling cells are identified in GBM patients before treatment, supporting the notion that quiescent CSC populations are preexisting, and show cellular plasticity through their ability to switch between cellular states.
On the other hand, preclinical studies have demonstrated that CSCs can lead to radiotherapy and chemotherapy resistance by activating DNA damage repair mechanisms. 265 Many of the signaling pathways essential for stemness maintenance of CSCs also promote DNA damage repair. For example, NOTCH signaling mediates radioresistance in GSCs through upregulation of the pro‐survival pathways PI3K/AKT and Bcl‐2. 266 Other resistance mechanisms include enhanced protection against reactive oxygen species and upregulation of drug efflux pumps. 267 , 268
In conclusion, antiproliferative treatment regimens lead to eradication of most dividing tumor cells, but leave quiescent CSCS resistant to treatment. These cells replenish new tumor cells by producing transient populations of hyperproliferative cells that act as a reservoir to repopulate the tumor.
8. CLINICAL IMPLICATIONS
Despite advances in the understanding of brain CSCs, many factors remain to be studied, including the origin cells of brain CSCs and the factors driving brain CSCs phenotypic plasticity, and the lack of knowledge regarding these factors complicates the identification and eradication of brain CSCs. As already discussed, it is difficult to identify the cell population responsible for malignant transformation in brain tumors. Several studies have discovered that brain CSCs originate from NSCs, mature glial cells, or restricted neural progenitor cells. However, in performing both CSC and tumor cell‐of‐origin studies, it has been found that CSCs can also originate through the dedifferentiation of bulk tumor cells. Indeed, any cell in the glial lineage can be the target of oncogenic transformation and obtain common CSC features associated with tumorigenesis by activating various cell‐type‐specific signaling pathways, which contributes to the phenotypic and genetic heterogeneity of brain tumors. Improving the understanding of CSC plasticity and enhancing the recognition of subpopulations of non‐CSC that can be converted to CSCs will help to dissect tumor heterogeneity and find CSC‐specific therapeutics.
At present, a major limitation of therapies against brain CSCs is their target, which primarily consists of stemness‐associated intracellular signaling and/or transcriptional factors that are shared with NSCs. Additionally, existing therapies targeting signaling in brain CSCs lack specificity, emphasizing the need for the design of new inhibitors. Therefore, it is crucial to search for new potential biomarkers that can easily be translated into the clinic. The identification of putative new CSC biomarkers and novel and unique pathways that are active in this subset of cells have significant clinical relevance. In particular, targeting cell surface CSC markers is a promising strategy as they represent accessible targets for monoclonal antibodies or drugs, which allows easy regulation of CSC signaling.
Numerous studies have shown that brain CSCs can promote immune evasion and enhance the expansion of protumorigenic immune phenotypes. 117 , 216 , 217 Multiple approaches targeting the interactions between the immune system factors and CSCs are actively being studied. In addition, various anti‐CSC immunotherapies are presently in clinical development. Research into the interplay between tumor microenvironments and brain CSCs has shown that phenotypes of stem cells vary considerably within the tumor and that brain CSCs subpopulations may have differential sensitivity to immunotherapeutic approaches. 269 These findings have provided a foundation for seeking multiple modalities of immunotherapey based on the relative permissiveness of brain CSCs populations. DC vaccination may be the most promising form of immunotherapy against high‐grade glioma. Approximately 30 clinical trials investigating DC vaccines against high‐grade glioma are ongoing. 270 Although preclinical and clinical studies have demonstrated that DC vaccines can train cytotoxic T cells to target brain CSCs without deleterious off‐target effects, these vaccines are not approved by the US FDA. At present, there are not yet drugs available to eliminate this cancer‐driving cell population, but the numerous strategies being pursued to target brain CSCs are promising and worth investigating.
9. CONCLUSIONS
To date, there are no effective therapies that have substantially impacted the clinical outcomes of patients with malignant brain tumors. However, the identification of CSCs and their crucial role in tumor progression and resistance to therapy has opened up new avenues for the discovery of novel therapeutic targets. Researchers have been investigating the potential targets of antitumor drugs targeting CSCs by studying brain CSCs surface markers, such as CD44 and CD133. Additionally, intracellular regulatory factors that are associated with the proliferation of brain CSCs and the maintenance of their stem‐like properties have also been successively elucidated. Aberrant expression of these intracellular regulatory factors is closely associated with tumor relapse and metastasis. Investigating these factors and their inhibitors provides a theoretical foundation and impetus for the development of antibrain tumor drugs targeting brain CSCs. Despite the maturation of theories related to brain CSCs, several questions remain controversial and require resolution to systematically and effectively translate mechanistic insights into novel therapeutic interventions. First, the effectiveness of isolation and identification of CSCs using surface markers are controversial. This is because these markers are not exclusive to the CSC subpopulation of brain tumor cells, and brain CSCs and normal stem cells share similar markers, making it difficult to distinguish them from each other during treatment. Therefore, it is challenging to demonstrate a satisfying targeting effect. Further studies are necessary to investigate more specific markers and develop more targeted therapies against brain CSCs. Second, cell‐intrinsic molecular mechanisms that regulate brain CSCs have been identified, which at least partially overlap with the mechanisms responsible for maintaining normal brain homeostasis, thus, not all the regulatory factors that contribute to CSCs are suitable targets for therapeutic intervention. Third, stromal and immune cells within CSC niches play a critical role in establishing a structural and functional barrier to protect CSCs against external attack; however, most studies investigating the interaction between CSCs and their niche mainly rely on 2D cell culture, which may not accurately represent the complex 3D microenvironment of CSCs in vivo. Finally, the majority of oncological investigations related to CSCs are conducted in immune‐deficient mice, which lack the biological complexity associated with the infiltration of immune cells and their specific actions in the TME in human patients.
In summary, brain CSCs have been identified as critical drivers of the recurrence and metastasis that are major lethal causes of brain cancer patients. Research in this area has focused on exploiting the therapeutic potential of molecular mechanisms regulating stemness, but rigorous testing and validation of targets will be necessary. As investigations into stemness‐associated signal transduction continue, we anticipate that CSC theories will become more refined and provide a more authoritative basis for drug discovery and clinical treatment, thereby improving the survival and efficacy of brain tumor patients.
AUTHOR CONTRIBUTIONS
S. Y. L. wrote the manuscript. K. S. L. participated on the writing of the manuscript, corrected the manuscript, and contributed with critical discussion. Q. L. conceived the original idea, corrected and finalized the manuscript, and contributed with critical discussion. All authors read and approved the final manuscript.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
ETHICS STATEMENT
Not applicable.
ACKNOWLEDGMENTS
We thank BioRender for helping us in our drawing process.This work was supported by Guangdong Basic and Applied Basic Research Foundation (2021A1515010716), by Tradtional Foundation of Chinese Medicine Bureau of Guangdong Province (20211458), and by Guangdong Provincial Medical Science and Technology Research Fund Project (A2023486, A2022125).
Lin S, Li K, Qi L. Cancer stem cells in brain tumors: From origin to clinical implications. MedComm. 2023;4:e341. 10.1002/mco2.341
Contributor Information
Kaishu Li, Email: 2021695049@gzhmu.edu.cn.
Ling Qi, Email: qiling1718@gzhmu.edu.cn.
DATA AVAILABILITY STATEMENT
Not applicable.
REFERENCES
- 1. Miller KD, Ostrom QT, Kruchko C, et al. Brain and other central nervous system tumor statistics, 2021. CA Cancer J Clin. 2021;71(5):381‐406. [DOI] [PubMed] [Google Scholar]
- 2. Schaff LR, Mellinghoff IK. Glioblastoma and other primary brain malignancies in adults: a review. JAMA. 2023;329(7):574‐587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Ostrom QT, Price M, Neff C, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2015–2019. Neuro‐oncology. 2022;24(5):v1‐v95. Suppl. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Cohen AR. Brain tumors in children. N Engl J Med. 2022;386(20):1922‐1931. [DOI] [PubMed] [Google Scholar]
- 5. Bao Z, Wang Y, Wang Q, et al. Intratumor heterogeneity, microenvironment, and mechanisms of drug resistance in glioma recurrence and evolution. Front Med. 2021;15(4):551‐561. [DOI] [PubMed] [Google Scholar]
- 6. Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz‐Sloan JS. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2011–2015. Neuro‐oncology. 2018;20(4):iv1‐iv86. suppl. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kreso A, Dick JE. Evolution of the cancer stem cell model. Cell Stem Cell. 2014;14(3):275‐291. [DOI] [PubMed] [Google Scholar]
- 8. Clara JA, Monge C, Yang Y, Takebe N. Targeting signalling pathways and the immune microenvironment of cancer stem cells—a clinical update. Nat Rev Clin Oncol. 2020;17(4):204‐232. [DOI] [PubMed] [Google Scholar]
- 9. Chen J, Li Y, Yu TS, et al. A restricted cell population propagates glioblastoma growth after chemotherapy. Nature. 2012;488(7412):522‐526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Mayani H, Chavez‐Gonzalez A, Vazquez‐Santillan K, Contreras J, Guzman ML. Cancer stem cells: biology and therapeutic implications. Arch Med Res. 2022;53(8):770‐784. [DOI] [PubMed] [Google Scholar]
- 11. Garcia‐Mayea Y, Mir C, Masson F, Paciucci R, LL ME. Insights into new mechanisms and models of cancer stem cell multidrug resistance. Semin Cancer Biol. 2020;60:166‐180. [DOI] [PubMed] [Google Scholar]
- 12. Trosko JE. On the potential origin and characteristics of cancer stem cells. Carcinogenesis. 2021;42(7):905‐912. [DOI] [PubMed] [Google Scholar]
- 13. Mauffrey P, Tchitchek N, Barroca V, et al. Progenitors from the central nervous system drive neurogenesis in cancer. Nature. 2019;569(7758):672‐678. [DOI] [PubMed] [Google Scholar]
- 14. Almenglo C, Caamano P, Fraga M, Devesa J, Costoya JA, Arce VM. From neural stem cells to glioblastoma: a natural history of GBM recapitulated in vitro. J Cell Physiol. 2021;236(11):7390‐7404. [DOI] [PubMed] [Google Scholar]
- 15. Azzarelli R, Simons BD, Philpott A. The developmental origin of brain tumours: a cellular and molecular framework. Development. 2018;145(10):dev162693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Cao Y. Tumorigenesis as a process of gradual loss of original cell identity and gain of properties of neural precursor/progenitor cells. Cell Biosci. 2017;7:61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Wang X, Zhou R, Xiong Y, et al. Sequential fate‐switches in stem‐like cells drive the tumorigenic trajectory from human neural stem cells to malignant glioma. Cell Res. 2021;31(6):684‐702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Wang J, Liu J, Sun G, et al. Glioblastoma extracellular vesicles induce the tumour‐promoting transformation of neural stem cells. Cancer Lett. 2019;466:1‐12. [DOI] [PubMed] [Google Scholar]
- 19. Landskron L, Steinmann V, Bonnay F, et al. The asymmetrically segregating lncRNA cherub is required for transforming stem cells into malignant cells. eLife. 2018;7:e31347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Wu G, Broniscer A, McEachron TA, et al. Somatic histone H3 alterations in pediatric diffuse intrinsic pontine gliomas and non‐brainstem glioblastomas. Nat Genet. 2012;44(3):251‐253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Schwartzentruber J, Korshunov A, Liu XY, et al. Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma. Nature. 2012;482(7384):226‐231. [DOI] [PubMed] [Google Scholar]
- 22. Funato K, Major T, Lewis PW, Allis CD, Tabar V. Use of human embryonic stem cells to model pediatric gliomas with H3.3K27M histone mutation. Science. 2014;346(6216):1529‐1533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Gallo M, Coutinho FJ, Vanner RJ, et al. MLL5 orchestrates a cancer self‐renewal state by repressing the histone variant H3.3 and globally reorganizing chromatin. Cancer Cell. 2015;28(6):715‐729. [DOI] [PubMed] [Google Scholar]
- 24. Verma R, Chen X, Xin D, et al. Olig1/2‐expressing intermediate lineage progenitors are predisposed to PTEN/p53‐loss‐induced gliomagenesis and harbor specific therapeutic vulnerabilities. Cancer Res. 2023;83(6):890‐905. [DOI] [PubMed] [Google Scholar]
- 25. Jin X, Yin J, Kim SH, et al. EGFR‐AKT‐Smad signaling promotes formation of glioma stem‐like cells and tumor angiogenesis by ID3‐driven cytokine induction. Cancer Res. 2011;71(22):7125‐7134. [DOI] [PubMed] [Google Scholar]
- 26. Jeon HM, Jin X, Lee JS, et al. Inhibitor of differentiation 4 drives brain tumor‐initiating cell genesis through cyclin E and notch signaling. Genes Dev. 2008;22(15):2028‐2033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Ligon KL, Huillard E, Mehta S, et al. Olig2‐regulated lineage‐restricted pathway controls replication competence in neural stem cells and malignant glioma. Neuron. 2007;53(4):503‐517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Trepant AL, Bouchart C, Rorive S, et al. Identification of OLIG2 as the most specific glioblastoma stem cell marker starting from comparative analysis of data from similar DNA chip microarray platforms. Tumour Biol. 2015;36(3):1943‐1953. [DOI] [PubMed] [Google Scholar]
- 29. Kupp R, Shtayer L, Tien AC, et al. Lineage‐restricted OLIG2‐RTK signaling governs the molecular subtype of glioma stem‐like cells. Cell Rep. 2016;16(11):2838‐2845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Zhang L, He X, Liu X, et al. Single‐cell transcriptomics in medulloblastoma reveals tumor‐initiating progenitors and oncogenic cascades during tumorigenesis and relapse. Cancer Cell. 2019;36(3):302‐318. e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Schmitz M, Temme A, Senner V, et al. Identification of SOX2 as a novel glioma‐associated antigen and potential target for T cell‐based immunotherapy. Br J Cancer. 2007;96(8):1293‐1301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Gangemi RM, Griffero F, Marubbi D, et al. SOX2 silencing in glioblastoma tumor‐initiating cells causes stop of proliferation and loss of tumorigenicity. Stem Cells. 2009;27(1):40‐48. [DOI] [PubMed] [Google Scholar]
- 33. Alonso MM, Diez‐Valle R, Manterola L, et al. Genetic and epigenetic modifications of SOX2 contribute to the invasive phenotype of malignant gliomas. PLoS One. 2011;6(11):e26740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Vanner RJ, Remke M, Gallo M, et al. Quiescent SOX2(+) cells drive hierarchical growth and relapse in sonic hedgehog subgroup medulloblastoma. Cancer Cell. 2014;26(1):33‐47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Jin X, Jin X, Jung JE, Beck S, Kim H. Cell surface Nestin is a biomarker for glioma stem cells. Biochem Biophys Res Commun. 2013;433(4):496‐501. [DOI] [PubMed] [Google Scholar]
- 36. Li P, Du F, Yuelling LW, et al. A population of Nestin‐expressing progenitors in the cerebellum exhibits increased tumorigenicity. Nat Neurosci. 2013;16(12):1737‐1744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Chow KH, Park HJ, George J, et al. S100A4 is a biomarker and regulator of glioma stem cells that is critical for mesenchymal transition in glioblastoma. Cancer Res. 2017;77(19):5360‐5373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Hemmati HD, Nakano I, Lazareff JA, et al. Cancerous stem cells can arise from pediatric brain tumors. Proc Natl Acad Sci USA. 2003;100(25):15178‐15183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Singh SK, Hawkins C, Clarke ID, et al. Identification of human brain tumour initiating cells. Nature. 2004;432(7015):396‐401. [DOI] [PubMed] [Google Scholar]
- 40. Mao XG, Zhang X, Xue XY, et al. Brain tumor stem‐like cells identified by neural stem cell marker CD15. Transl Oncol. 2009;2(4):247‐257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Read TA, Fogarty MP, Markant SL, et al. Identification of CD15 as a marker for tumor‐propagating cells in a mouse model of medulloblastoma. Cancer Cell. 2009;15(2):135‐147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Ward RJ, Lee L, Graham K, et al. Multipotent CD15+ cancer stem cells in patched‐1‐deficient mouse medulloblastoma. Cancer Res. 2009;69(11):4682‐4690. [DOI] [PubMed] [Google Scholar]
- 43. Lathia JD, Gallagher J, Heddleston JM, et al. Integrin alpha 6 regulates glioblastoma stem cells. Cell Stem Cell. 2010;6(5):421‐432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Corsini NS, Martin‐Villalba A. Integrin alpha 6: anchors away for glioma stem cells. Cell Stem Cell. 2010;6(5):403‐404. [DOI] [PubMed] [Google Scholar]
- 45. Anido J, Saez‐Borderias A, Gonzalez‐Junca A, et al. TGF‐beta receptor inhibitors target the CD44(high)/Id1(high) glioma‐initiating cell population in human glioblastoma. Cancer Cell. 2010;18(6):655‐668. [DOI] [PubMed] [Google Scholar]
- 46. Tchoghandjian A, Baeza N, Colin C, et al. A2B5 cells from human glioblastoma have cancer stem cell properties. Brain Pathol. 2010;20(1):211‐221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Ogden AT, Waziri AE, Lochhead RA, et al. Identification of A2B5+CD133− tumor‐initiating cells in adult human gliomas. Neurosurgery. 2008;62(2):505‐514. discussion 514–5. [DOI] [PubMed] [Google Scholar]
- 48. Robson JP, Remke M, Kool M, et al. Identification of CD24 as a marker of Patched1 deleted medulloblastoma‐initiating neural progenitor cells. PLoS One. 2019;14(1):e0210665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Hansford LM, McKee AE, Zhang L, et al. Neuroblastoma cells isolated from bone marrow metastases contain a naturally enriched tumor‐initiating cell. Cancer Res. 2007;67(23):11234‐11243. [DOI] [PubMed] [Google Scholar]
- 50. Dahlrot RH, Hansen S, Herrstedt J, Schroder HD, Hjelmborg J, Kristensen BW. Prognostic value of Musashi‐1 in gliomas. J Neuro‐oncol. 2013;115(3):453‐461. [DOI] [PubMed] [Google Scholar]
- 51. Li J, Ek F, Olsson R, Belting M, Bengzon J. Glioblastoma CD105(+) cells define a SOX2(‐) cancer stem cell‐like subpopulation in the pre‐invasive niche. Acta Neuropathol Commun. 2022;10(1):126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Rusu P, Shao C, Neuerburg A, et al. GPD1 specifically marks dormant glioma stem cells with a distinct metabolic profile. Cell Stem Cell. 2019;25(2):241‐257. [DOI] [PubMed] [Google Scholar]
- 53. Park MG, Seo S, Ham SW, Choi SH, Kim H. Dihydropyrimidinase‐related protein 5 controls glioblastoma stem cell characteristics as a biomarker of proneural‐subtype glioblastoma stem cells. Oncol Lett. 2020;20(2):1153‐1162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Borgenvik A, Holmberg KO, Bolin S, et al. Dormant SOX9‐positive cells facilitate MYC‐driven recurrence of medulloblastoma. Cancer Res. 2022;82(24):4586‐4603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Dahlrot RH, Hermansen SK, Hansen S, Kristensen BW. What is the clinical value of cancer stem cell markers in gliomas? Int J Clin Exp Pathol. 2013;6(3):334‐348. [PMC free article] [PubMed] [Google Scholar]
- 56. Dahlrot RH. The prognostic value of clinical factors and cancer stem cell‐related markers in gliomas. Danish Med J. 2014;61(10):B4944. [PubMed] [Google Scholar]
- 57. Lu J, Xu J, Li J, et al. FACER: comprehensive molecular and functional characterization of epigenetic chromatin regulators. Nucleic Acids Res. 2018;46(19):10019‐10033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Zhang G, Dong Z, Prager BC, et al. Chromatin remodeler HELLS maintains glioma stem cells through E2F3 and MYC. JCI Insight. 2019;4(7):e126140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Long W, Zhao W, Ning B, et al. PHF20 collaborates with PARP1 to promote stemness and aggressiveness of neuroblastoma cells through activation of SOX2 and OCT4. J Mol Cell Biol. 2018;10(2):147‐160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Ganguly D, Sims M, Cai C, Fan M, Pfeffer LM. Chromatin remodeling factor BRG1 regulates stemness and chemosensitivity of glioma initiating cells. Stem Cells. 2018;36(12):1804‐1815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Hu PS, Xia QS, Wu F, et al. NSPc1 promotes cancer stem cell self‐renewal by repressing the synthesis of all‐trans retinoic acid via targeting RDH16 in malignant glioma. Oncogene. 2017;36(33):4706‐4718. [DOI] [PubMed] [Google Scholar]
- 62. Orzan F, Pellegatta S, Poliani PL, et al. Enhancer of Zeste 2 (EZH2) is up‐regulated in malignant gliomas and in glioma stem‐like cells. Neuropathol Appl Neurobiol. 2011;37(4):381‐394. [DOI] [PubMed] [Google Scholar]
- 63. Liang H, Wang Q, Wang D, et al. RGFP966, a histone deacetylase 3 inhibitor, promotes glioma stem cell differentiation by blocking TGF‐beta signaling via SMAD7. Biochem Pharmacol. 2020;180:114118. [DOI] [PubMed] [Google Scholar]
- 64. Yang W, Liu Y, Gao R, Yu H, Sun T. HDAC6 inhibition induces glioma stem cells differentiation and enhances cellular radiation sensitivity through the SHH/Gli1 signaling pathway. Cancer Lett. 2018;415:164‐176. [DOI] [PubMed] [Google Scholar]
- 65. Rampazzo E, Manfreda L, Bresolin S, et al. Histone deacetylase inhibitors impair glioblastoma cell motility and proliferation. Cancers. 2022;14(8):1897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Nakagawa‐Saito Y, Saitoh S, Mitobe Y, et al. HDAC class I inhibitor domatinostat preferentially targets glioma stem cells over their differentiated progeny. Int J Mol Sci. 2022;23(15):8084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Lopez‐Bertoni H, Lal B, Michelson N, et al. Epigenetic modulation of a miR‐296‐5p:hMGA1 axis regulates SOX2 expression and glioblastoma stem cells. Oncogene. 2016;35(37):4903‐4913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Ma XL, Shang F, Ni W, Zhu J, Luo B, Zhang YQ. MicroRNA‐338‐5p plays a tumor suppressor role in glioma through inhibition of the MAPK‐signaling pathway by binding to FOXD1. J Cancer Res Clin Oncol. 2018;144(12):2351‐2366. [DOI] [PubMed] [Google Scholar]
- 69. Song H, Zhang Y, Liu N, et al. Let‐7b inhibits the malignant behavior of glioma cells and glioma stem‐like cells via downregulation of E2F2. J Physiol Biochem. 2016;72(4):733‐744. [DOI] [PubMed] [Google Scholar]
- 70. Lopez‐Bertoni H, Kotchetkov IS, Mihelson N, et al. A SOX2:miR‐486‐5p axis regulates survival of GBM cells by inhibiting tumor suppressor networks. Cancer Res. 2020;80(8):1644‐1655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Abdelfattah N, Rajamanickam S, Panneerdoss S, et al. MiR‐584‐5p potentiates vincristine and radiation response by inducing spindle defects and DNA damage in medulloblastoma. Nat Commun. 2018;9(1):4541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Li SZ, Ren KX, Zhao J, et al. miR‐139/PDE2A‐Notch1 feedback circuit represses stemness of gliomas by inhibiting Wnt/beta‐catenin signaling. Int J Biol Sci. 2021;17(13):3508‐3521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Liu Q, Guan Y, Li Z, et al. miR‐504 suppresses mesenchymal phenotype of glioblastoma by directly targeting the FZD7‐mediated Wnt‐beta‐catenin pathway. J Exp Clin Cancer Res. 2019;38(1):358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Wang Y, Cheng Y, Yang Q, Kuang L, Liu G. Overexpression of FOXD2‐AS1 enhances proliferation and impairs differentiation of glioma stem cells by activating the NOTCH pathway via TAF‐1. J Cell Mol Med. 2022;26(9):2620‐2632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Li YP, Liu Y, Xiao LM, et al. Induction of cancer cell stemness in glioma through glycolysis and the long noncoding RNA HULC‐activated FOXM1/AGR2/HIF‐1alpha axis. Lab Investig. 2022;102(7):691‐701. [DOI] [PubMed] [Google Scholar]
- 76. Peng KL, Vasudevan HN, Lockney DT, et al. Miat and interacting protein Metadherin maintain a stem‐like niche to promote medulloblastoma tumorigenesis and treatment resistance. Proc Natl Acad Sci USA. 2022;119(37):e2203738119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Wang Y, Wang B, Zhou F, Lv K, Xu X, Cao W. CircNDC80 promotes glioblastoma multiforme tumorigenesis via the miR‐139‐5p/ECE1 pathway. J Transl Med. 2023;21(1):22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Li H, Jiang Y, Hu J, et al. The U2AF65/circNCAPG/RREB1 feedback loop promotes malignant phenotypes of glioma stem cells through activating the TGF‐beta pathway. Cell Death Dis. 2023;14(1):23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Xu J, Zhang G, Hu J, et al. UPF1/circRPPH1/ATF3 feedback loop promotes the malignant phenotype and stemness of GSCs. Cell Death Dis. 2022;13(7):645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Jiang Y, Zhao J, Liu Y, et al. CircKPNB1 mediates a positive feedback loop and promotes the malignant phenotypes of GSCs via TNF‐alpha/NF‐kappaB signaling. Cell Death Dis. 2022;13(8):697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Visvanathan A, Patil V, Arora A, et al. Essential role of METTL3‐mediated m(6)A modification in glioma stem‐like cells maintenance and radioresistance. Oncogene. 2018;37(4):522‐533. [DOI] [PubMed] [Google Scholar]
- 82. Dixit D, Prager BC, Gimple RC, et al. The RNA m6A reader YTHDF2 maintains oncogene expression and is a targetable dependency in glioblastoma stem cells. Cancer Discov. 2021;11(2):480‐499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. You J, Tao B, Peng L, et al. Transcription factor YY1 mediates self‐renewal of glioblastoma stem cells through regulation of the SENP1/METTL3/MYC axis. Cancer Gene Ther. 2022;30(5):683‐693. [DOI] [PubMed] [Google Scholar]
- 84. Wang SM, Lin WC, Lin HY, Chen YL, Ko CY, Wang JM. CCAAT/Enhancer‐binding protein delta mediates glioma stem‐like cell enrichment and ATP‐binding cassette transporter ABCA1 activation for temozolomide resistance in glioblastoma. Cell Death Discov. 2021;7(1):8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Caja L, Tzavlaki K, Dadras MS, et al. Snail regulates BMP and TGFbeta pathways to control the differentiation status of glioma‐initiating cells. Oncogene. 2018;37(19):2515‐2531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Chen Z, Chen Y, Li Y, et al. Prrx1 promotes stemness and angiogenesis via activating TGF‐beta/smad pathway and upregulating proangiogenic factors in glioma. Cell Death Dis. 2021;12(6):615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Castellan M, Guarnieri A, Fujimura A, et al. Single‐cell analyses reveal YAP/TAZ as regulators of stemness and cell plasticity in Glioblastoma. Nat Cancer. 2021;2(2):174‐188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Zagozewski J, Shahriary GM, Morrison LC, et al. An OTX2‐PAX3 signaling axis regulates Group 3 medulloblastoma cell fate. Nat Commun. 2020;11(1):3627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Stromecki M, Tatari N, Morrison LC, et al. Characterization of a novel OTX2‐driven stem cell program in Group 3 and Group 4 medulloblastoma. Mol Oncol. 2018;12(4):495‐513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Folmes CD, Dzeja PP, Nelson TJ, Terzic A. Metabolic plasticity in stem cell homeostasis and differentiation. Cell Stem Cell. 2012;11(5):596‐606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Nakano I. Therapeutic potential of targeting glucose metabolism in glioma stem cells. Expert Opin Therap Targets. 2014;18(11):1233‐1236. [DOI] [PubMed] [Google Scholar]
- 92. Flavahan WA, Wu Q, Hitomi M, et al. Brain tumor initiating cells adapt to restricted nutrition through preferential glucose uptake. Nat Neurosci. 2013;16(10):1373‐1382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Agnihotri S, Zadeh G. Metabolic reprogramming in glioblastoma: the influence of cancer metabolism on epigenetics and unanswered questions. Neuro‐oncology. 2016;18(2):160‐172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Harland A, Liu X, Ghirardello M, Galan MC, Perks CM, Kurian KM. Glioma stem‐like cells and metabolism: potential for novel therapeutic strategies. Front Oncol. 2021;11:743814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Park HK, Hong JH, Oh YT, et al. Interplay between TRAP1 and sirtuin‐3 modulates mitochondrial respiration and oxidative stress to maintain stemness of glioma stem cells. Cancer Res. 2019;79(7):1369‐1382. [DOI] [PubMed] [Google Scholar]
- 96. Zhou K, Yao YL, He ZC, et al. VDAC2 interacts with PFKP to regulate glucose metabolism and phenotypic reprogramming of glioma stem cells. Cell Death Dis. 2018;9(10):988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Wang X, Yang K, Xie Q, et al. Purine synthesis promotes maintenance of brain tumor initiating cells in glioma. Nat Neurosci. 2017;20(5):661‐673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Singh SX, Yang R, Roso K, et al. Purine synthesis inhibitor L‐alanosine impairs mitochondrial function and stemness of brain tumor initiating cells. Biomedicines. 2022;10(4):751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Yasumoto Y, Miyazaki H, Vaidyan LK, et al. Inhibition of fatty acid synthase decreases expression of stemness markers in glioma stem cells. PLoS One. 2016;11(1):e0147717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Sun P, Xia S, Lal B, et al. Lipid metabolism enzyme ACSVL3 supports glioblastoma stem cell maintenance and tumorigenicity. BMC Cancer. 2014;14:401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Haddock S, Alban TJ, Turcan S, et al. Phenotypic and molecular states of IDH1 mutation‐induced CD24‐positive glioma stem‐like cells. Neoplasia. 2022;28:100790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Turcan S, Makarov V, Taranda J, et al. Mutant‐IDH1‐dependent chromatin state reprogramming, reversibility, and persistence. Nat Genet. 2018;50(1):62‐72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Lu C, Ward PS, Kapoor GS, et al. IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature. 2012;483(7390):474‐478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Turcan S, Rohle D, Goenka A, et al. IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype. Nature. 2012;483(7390):479‐483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Duncan CG, Barwick BG, Jin G, et al. A heterozygous IDH1R132H/WT mutation induces genome‐wide alterations in DNA methylation. Genome Res. 2012;22(12):2339‐2355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Tirosh I, Venteicher AS, Hebert C, et al. Single‐cell RNA‐seq supports a developmental hierarchy in human oligodendroglioma. Nature. 2016;539(7628):309‐313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Venteicher AS, Tirosh I, Hebert C, et al. Decoupling genetics, lineages, and microenvironment in IDH‐mutant gliomas by single‐cell RNA‐seq. Science. 2017;355(6332):eaai8478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Chaligne R, Gaiti F, Silverbush D, et al. Epigenetic encoding, heritability and plasticity of glioma transcriptional cell states. Nat Genet. 2021;53(10):1469‐1479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Xia Z, Wei P, Zhang H, et al. AURKA governs self‐renewal capacity in glioma‐initiating cells via stabilization/activation of beta‐catenin/Wnt signaling. Mol Cancer Res. 2013;11(9):1101‐1111. [DOI] [PubMed] [Google Scholar]
- 110. Kurokawa C, Geekiyanage H, Allen C, et al. Alisertib demonstrates significant antitumor activity in bevacizumab resistant, patient derived orthotopic models of glioblastoma. J Neuro‐oncol. 2017;131(1):41‐48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Fang X, Huang Z, Zhai K, et al. Inhibiting DNA‐PK induces glioma stem cell differentiation and sensitizes glioblastoma to radiation in mice. Sci Transl Med. 2021;13(600):eabc7275. [DOI] [PubMed] [Google Scholar]
- 112. Wei L, Su YK, Lin CM, et al. Preclinical investigation of ibrutinib, a Bruton's kinase tyrosine (Btk) inhibitor, in suppressing glioma tumorigenesis and stem cell phenotypes. Oncotarget. 2016;7(43):69961‐69975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Guryanova OA, Wu Q, Cheng L, et al. Nonreceptor tyrosine kinase BMX maintains self‐renewal and tumorigenic potential of glioblastoma stem cells by activating STAT3. Cancer Cell. 2011;19(4):498‐511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Eom H, Kaushik N, Yoo KC, et al. MerTK mediates STAT3‐KRAS/SRC‐signaling axis for glioma stem cell maintenance. Artif Cells Nanomed Biotechnol. 2018;46(sup2):87‐95. [DOI] [PubMed] [Google Scholar]
- 115. Liu H, Sun Q, Sun Y, et al. MELK and EZH2 cooperate to regulate medulloblastoma cancer stem‐like cell proliferation and differentiation. Mol Cancer Res. 2017;15(9):1275‐1286. [DOI] [PubMed] [Google Scholar]
- 116. Lin L, Li Y, Liu M, Li Q, Liu Q, Li R. The Interleukin‐33/ST2 axis promotes glioma mesenchymal transition, stemness and TMZ resistance via JNK activation. Aging. 2020;12(2):1685‐1703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Tao W, Chu C, Zhou W, et al. Dual Role of WISP1 in maintaining glioma stem cells and tumor‐supportive macrophages in glioblastoma. Nat Commun. 2020;11(1):3015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Zhou Z, Sun L, Wang Y, et al. Bone morphogenetic protein 4 inhibits cell proliferation and induces apoptosis in glioma stem cells. Cancer Biother Radiopharm. 2011;26(1):77‐83. [DOI] [PubMed] [Google Scholar]
- 119. Videla Richardson GA, Garcia CP, Roisman A, et al. Specific preferences in lineage choice and phenotypic plasticity of glioma stem cells under BMP4 and Noggin influence. Brain Pathol. 2016;26(1):43‐61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Almiron Bonnin DA, Havrda MC, Lee MC, et al. Secretion‐mediated STAT3 activation promotes self‐renewal of glioma stem‐like cells during hypoxia. Oncogene. 2018;37(8):1107‐1118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Xu C, Wu X, Zhu J. VEGF promotes proliferation of human glioblastoma multiforme stem‐like cells through VEGF receptor 2. TheScientificWorldJournal. 2013;2013:417413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Hamerlik P, Lathia JD, Rasmussen R, et al. Autocrine VEGF‐VEGFR2‐Neuropilin‐1 signaling promotes glioma stem‐like cell viability and tumor growth. J Exp Med. 2012;209(3):507‐520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Yao X, Ping Y, Liu Y, et al. Vascular endothelial growth factor receptor 2 (VEGFR‐2) plays a key role in vasculogenic mimicry formation, neovascularization and tumor initiation by Glioma stem‐like cells. PLoS One. 2013;8(3):e57188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Jeon HM, Sohn YW, Oh SY, et al. ID4 imparts chemoresistance and cancer stemness to glioma cells by derepressing miR‐9*‐mediated suppression of SOX2. Cancer Res. 2011;71(9):3410‐3421. [DOI] [PubMed] [Google Scholar]
- 125. Drachsler M, Kleber S, Mateos A, et al. CD95 maintains stem cell‐like and non‐classical EMT programs in primary human glioblastoma cells. Cell Death Dis. 2016;7:e2209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Zhang Y, Cruickshanks N, Yuan F, et al. Targetable T‐type calcium channels drive glioblastoma. Cancer Res. 2017;77(13):3479‐3490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Chen J, Wang P, Cai R, Peng H, Zhang C, Zhang M. SLC34A2 promotes neuroblastoma cell stemness via enhancement of miR‐25/Gsk3beta‐mediated activation of Wnt/beta‐catenin signaling. FEBS Open Bio. 2019;9(3):527‐537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128. Chen G, Chen W, Ye M, Tan W, Jia B. TRIM59 knockdown inhibits cell proliferation by down‐regulating the Wnt/beta‐catenin signaling pathway in neuroblastoma. Biosci Rep. 2019;39(1):BSR20181277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Ma D, Hou L, Xia H, et al. PER2 inhibits proliferation and stemness of glioma stem cells via the Wnt/beta‑catenin signaling pathway. Oncol Rep. 2020;44(2):533‐542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Wan J, Guo AA, King P, et al. TRPM7 induces tumorigenesis and stemness through notch activation in glioma. Front Pharmacol. 2020;11:590723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Baisiwala S, Hall RR 3rd, Saathoff MR, et al. LNX1 modulates Notch1 signaling to promote expansion of the glioma stem cell population during temozolomide therapy in glioblastoma. Cancers. 2020;12(12):3505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Kuo YT, Liu YL, Adebayo BO, et al. JARID1B expression plays a critical role in chemoresistance and stem cell‐like phenotype of neuroblastoma cells. PLoS One. 2015;10(5):e0125343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Hu B, Emdad L, Kegelman TP, et al. Astrocyte elevated gene‐1 regulates beta‐catenin signaling to maintain glioma stem‐like stemness and self‐renewal. Mol Cancer Res. 2017;15(2):225‐233. [DOI] [PubMed] [Google Scholar]
- 134. Yin J, Kim SS, Choi E, et al. ARS2/MAGL signaling in glioblastoma stem cells promotes self‐renewal and M2‐like polarization of tumor‐associated macrophages. Nat Commun. 2020;11(1):2978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Sherry MM, Reeves A, Wu JK, Cochran BH. STAT3 is required for proliferation and maintenance of multipotency in glioblastoma stem cells. Stem Cells. 2009;27(10):2383‐2392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Filppu P, Tanjore Ramanathan J, Granberg KJ, et al. CD109‐GP130 interaction drives glioblastoma stem cell plasticity and chemoresistance through STAT3 activity. JCI Insight. 2021;6(9):e141486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Zhang G, Tanaka S, Jiapaer S, et al. RBPJ contributes to the malignancy of glioblastoma and induction of proneural‐mesenchymal transition via IL‐6‐STAT3 pathway. Cancer Sci. 2020;111(11):4166‐4176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Wang XH, Wu HY, Gao J, Wang XH, Gao TH, Zhang SF. IGF1R facilitates epithelial‐mesenchymal transition and cancer stem cell properties in neuroblastoma via the STAT3/AKT axis. Cancer Manag Res. 2019;11:5459‐5472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Borovski T, De Sousa EMF, Vermeulen L, Medema JP. Cancer stem cell niche: the place to be. Cancer Res. 2011;71(3):634‐639. [DOI] [PubMed] [Google Scholar]
- 140. Tanabe S. Microenvironment of cancer stem cells. Adv Exp Med Biol. 2022;1393:103‐124. [DOI] [PubMed] [Google Scholar]
- 141. Ju F, Atyah MM, Horstmann N, et al. Characteristics of the cancer stem cell niche and therapeutic strategies. Stem Cell Res Ther. 2022;13(1):233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Boyd NH, Tran AN, Bernstock JD, et al. Glioma stem cells and their roles within the hypoxic tumor microenvironment. Theranostics. 2021;11(2):665‐683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143. Colwell N, Larion M, Giles AJ, et al. Hypoxia in the glioblastoma microenvironment: shaping the phenotype of cancer stem‐like cells. Neuro‐oncology. 2017;19(7):887‐896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. McCord AM, Jamal M, Shankavaram UT, Lang FF, Camphausen K, Tofilon PJ. Physiologic oxygen concentration enhances the stem‐like properties of CD133+ human glioblastoma cells in vitro. Mol Cancer Res. 2009;7(4):489‐497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. Prasad P, Mittal SA, Chongtham J, Mohanty S, Srivastava T. Hypoxia‐mediated epigenetic regulation of stemness in brain tumor cells. Stem Cells. 2017;35(6):1468‐1478. [DOI] [PubMed] [Google Scholar]
- 146. Zeng F, Chen H, Zhang Z, et al. Regulating glioma stem cells by hypoxia through the Notch1 and OCT3/4 signaling pathway. Oncol Lett. 2018;16(5):6315‐6322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Nigim F, Cavanaugh J, Patel AP, et al. Targeting hypoxia‐inducible factor 1alpha in a new orthotopic model of glioblastoma recapitulating the hypoxic tumor microenvironment. J Neuropathol Exp Neurol. 2015;74(7):710‐722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Qiang L, Wu T, Zhang HW, et al. HIF‐1alpha is critical for hypoxia‐mediated maintenance of glioblastoma stem cells by activating Notch signaling pathway. Cell Death Different. 2012;19(2):284‐294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Bhagat M, Palanichamy JK, Ramalingam P, et al. HIF‐2alpha mediates a marked increase in migration and stemness characteristics in a subset of glioma cells under hypoxia by activating an OCT4/SOX2‐Mena (INV) axis. Int J Biochem Cell Biol. 2016;74:60‐71. [DOI] [PubMed] [Google Scholar]
- 150. Soeda A, Park M, Lee D, et al. Hypoxia promotes expansion of the CD133‐positive glioma stem cells through activation of HIF‐1alpha. Oncogene. 2009;28(45):3949‐3959. [DOI] [PubMed] [Google Scholar]
- 151. Wang P, Gong S, Liao B, et al. HIF1alpha/HIF2alpha induces glioma cell dedifferentiation into cancer stem cells through Sox2 under hypoxic conditions. J Cancer. 2022;13(1):1‐14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Wang P, Yan Q, Liao B, et al. The HIF1alpha/HIF2alpha‐miR210‐3p network regulates glioblastoma cell proliferation, dedifferentiation and chemoresistance through EGF under hypoxic conditions. Cell Death Dis. 2020;11(11):992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Filatova A, Seidel S, Bogurcu N, Graf S, Garvalov BK, Acker T. Acidosis acts through HSP90 in a PHD/VHL‐Independent manner to promote HIF function and stem cell maintenance in glioma. Cancer Res. 2016;76(19):5845‐5856. [DOI] [PubMed] [Google Scholar]
- 154. Hjelmeland AB, Wu Q, Heddleston JM, et al. Acidic stress promotes a glioma stem cell phenotype. Cell Death Different. 2011;18(5):829‐840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. Xu X, Wang L, Zang Q, et al. Rewiring of purine metabolism in response to acidosis stress in glioma stem cells. Cell Death Dis. 2021;12(3):277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156. Hu P, Li S, Tian N, et al. Acidosis enhances the self‐renewal and mitochondrial respiration of stem cell‐like glioma cells through CYP24A1‐mediated reduction of vitamin D. Cell Death Dis. 2019;10(1):25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Tian BR, Lin WF, Zhang Y. Effects of biomechanical forces on the biological behavior of cancer stem cells. J Cancer. 2021;12(19):5895‐5902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Chen X, Chen L, Zhang R, et al. ADAM17 regulates self‐renewal and differentiation of U87 glioblastoma stem cells. Neurosci Lett. 2013;537:44‐49. [DOI] [PubMed] [Google Scholar]
- 159. Jimenez‐Pascual A, Hale JS, Kordowski A, et al. ADAMDEC1 maintains a growth factor signaling loop in cancer stem cells. Cancer Discov. 2019;9(11):1574‐1589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Lathia JD, Li M, Hall PE, et al. Laminin alpha 2 enables glioblastoma stem cell growth. Ann Neurol. 2012;72(5):766‐778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Wang X, Dai X, Zhang X, Li X, Xu T, Lan Q. Enrichment of glioma stem cell‐like cells on 3D porous scaffolds composed of different extracellular matrix. Biochem Biophys Res Commun. 2018;498(4):1052‐1057. [DOI] [PubMed] [Google Scholar]
- 162. Tao B, Song Y, Wu Y, et al. Matrix stiffness promotes glioma cell stemness by activating BCL9L/Wnt/beta‐catenin signaling. Aging. 2021;13(4):5284‐5296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Calabrese C, Poppleton H, Kocak M, et al. A perivascular niche for brain tumor stem cells. Cancer Cell. 2007;11(1):69‐82. [DOI] [PubMed] [Google Scholar]
- 164. Hira VV, Ploegmakers KJ, Grevers F, et al. CD133+ and Nestin+ glioma stem‐like cells reside around CD31+ arterioles in niches that express SDF‐1alpha, CXCR4, osteopontin and cathepsin K. J Histochem Cytochem. 2015;63(7):481‐493. [DOI] [PubMed] [Google Scholar]
- 165. Hovinga KE, Shimizu F, Wang R, et al. Inhibition of notch signaling in glioblastoma targets cancer stem cells via an endothelial cell intermediate. Stem Cells. 2010;28(6):1019‐1029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166. Zhu TS, Costello MA, Talsma CE, et al. Endothelial cells create a stem cell niche in glioblastoma by providing NOTCH ligands that nurture self‐renewal of cancer stem‐like cells. Cancer research. 2011;71(18):6061‐6072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Wang Y, Wang Y, Chen H, Liang Q. Endothelial cells promote formation of medulloblastoma stem‐like cells via Notch pathway activation. J Mol Neurosci. 2017;63(2):152‐158. [DOI] [PubMed] [Google Scholar]
- 168. Yan GN, Yang L, Lv YF, et al. Endothelial cells promote stem‐like phenotype of glioma cells through activating the Hedgehog pathway. J Pathol. 2014;234(1):11‐22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169. Kumar S, Bar‐Lev L, Sharife H, et al. Identification of vascular cues contributing to cancer cell stemness and function. Angiogenesis. 2022;25(3):355‐371. [DOI] [PubMed] [Google Scholar]
- 170. Galan‐Moya EM, Le Guelte A, Lima Fernandes E, et al. Secreted factors from brain endothelial cells maintain glioblastoma stem‐like cell expansion through the mTOR pathway. EMBO Rep. 2011;12(5):470‐476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171. Galan‐Moya EM, Treps L, Oliver L, et al. Endothelial secreted factors suppress mitogen deprivation‐induced autophagy and apoptosis in glioblastoma stem‐like cells. PLoS One. 2014;9(3):e93505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. McCoy MG, Nyanyo D, Hung CK, et al. Endothelial cells promote 3D invasion of GBM by IL‐8‐dependent induction of cancer stem cell properties. Scientific Rep. 2019;9(1):9069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Fessler E, Borovski T, Medema JP. Endothelial cells induce cancer stem cell features in differentiated glioblastoma cells via bFGF. Mol Cancer. 2015;14:157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Adnani L, Kassouf J, Meehan B, et al. Angiocrine extracellular vesicles impose mesenchymal reprogramming upon proneural glioma stem cells. Nat Commun. 2022;13(1):5494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Li D, Tian Y, Hu Y, et al. Glioma‐associated human endothelial cell‐derived extracellular vesicles specifically promote the tumourigenicity of glioma stem cells via CD9. Oncogene. 2019;38(43):6898‐6912. [DOI] [PubMed] [Google Scholar]
- 176. Lucero R, Zappulli V, Sammarco A, et al. Glioma‐derived miRNA‐containing extracellular vesicles induce angiogenesis by reprogramming brain endothelial cells. Cell Rep. 2020;30(7):2065‐2074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177. Jiang J, Lu J, Wang X, et al. Glioma stem cell‐derived exosomal miR‐944 reduces glioma growth and angiogenesis by inhibiting AKT/ERK signaling. Aging. 2021;13(15):19243‐19259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178. Folkins C, Shaked Y, Man S, et al. Glioma tumor stem‐like cells promote tumor angiogenesis and vasculogenesis via vascular endothelial growth factor and stromal‐derived factor 1. Cancer Res. 2009;69(18):7243‐7251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179. Chen J, Liu G, Wang X, et al. Glioblastoma stem cell‐specific histamine secretion drives pro‐angiogenic tumor microenvironment remodeling. Cell Stem Cell. 2022;29(11):1531‐1546. [DOI] [PubMed] [Google Scholar]
- 180. Jin Z, Zhan T, Tao J, et al. MicroRNA‐34a induces transdifferentiation of glioma stem cells into vascular endothelial cells by targeting Notch pathway. Biosci, Biotechnol Biochem. 2017;81(10):1899‐1907. [DOI] [PubMed] [Google Scholar]
- 181. Cheng L, Huang Z, Zhou W, et al. Glioblastoma stem cells generate vascular pericytes to support vessel function and tumor growth. Cell. 2013;153(1):139‐152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Pezzolo A, Parodi F, Corrias MV, Cinti R, Gambini C, Pistoia V. Tumor origin of endothelial cells in human neuroblastoma. J Clin Oncol. 2007;25(4):376‐383. [DOI] [PubMed] [Google Scholar]
- 183. Zhai Y, Li G, Li R, et al. Single‐cell RNA‐sequencing shift in the interaction pattern between glioma stem cells and immune cells during tumorigenesis. Front Immunol. 2020;11:581209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Silver DJ, Sinyuk M, Vogelbaum MA, Ahluwalia MS, Lathia JD. The intersection of cancer, cancer stem cells, and the immune system: therapeutic opportunities. Neuro‐oncology. 2016;18(2):153‐159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Hambardzumyan D, Gutmann DH, Kettenmann H. The role of microglia and macrophages in glioma maintenance and progression. Nat Neurosci. 2016;19(1):20‐27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186. Muller S, Kohanbash G, Liu SJ, et al. Single‐cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment. Genome Biol. 2017;18(1):234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. Carmona‐Fontaine C, Deforet M, Akkari L, Thompson CB, Joyce JA, Xavier JB. Metabolic origins of spatial organization in the tumor microenvironment. Proc Natl Acad Sci USA. 2017;114(11):2934‐2939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188. Zhou W, Ke SQ, Huang Z, et al. Periostin secreted by glioblastoma stem cells recruits M2 tumour‐associated macrophages and promotes malignant growth. Nat Cell Biol. 2015;17(2):170‐182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189. Shi Y, Ping YF, Zhou W, et al. Tumour‐associated macrophages secrete pleiotrophin to promote PTPRZ1 signalling in glioblastoma stem cells for tumour growth. Nat Commun. 2017;8:15080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Knudsen AM, Halle B, Cedile O, et al. Surgical resection of glioblastomas induces pleiotrophin‐mediated self‐renewal of glioblastoma stem cells in recurrent tumors. Neuro‐oncology. 2022;24(7):1074‐1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191. Zhang X, Chen L, Dang WQ, et al. CCL8 secreted by tumor‐associated macrophages promotes invasion and stemness of glioblastoma cells via ERK1/2 signaling. Lab Investig. 2020;100(4):619‐629. [DOI] [PubMed] [Google Scholar]
- 192. Li J, Kaneda MM, Ma J, et al. PI3Kgamma inhibition suppresses microglia/TAM accumulation in glioblastoma microenvironment to promote exceptional temozolomide response. Proc Natl Acad Sci USA. 2021;118(16):e2009290118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Zhang Z, Xu J, Chen Z, et al. Transfer of microRNA via macrophage‐derived extracellular vesicles promotes proneural‐to‐mesenchymal transition in glioma stem cells. Cancer Immunol Res. 2020;8(7):966‐981. [DOI] [PubMed] [Google Scholar]
- 194. Cioffi M, Trabulo S, Hidalgo M, et al. Inhibition of CD47 effectively targets pancreatic cancer stem cells via dual mechanisms. Clin Cancer Res. 2015;21(10):2325‐2337. [DOI] [PubMed] [Google Scholar]
- 195. Liu L, Zhang L, Yang L, et al. Anti‐CD47 antibody as a targeted therapeutic agent for human lung cancer and cancer stem cells. Front Immunol. 2017;8:404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Li F, Lv B, Liu Y, et al. Blocking the CD47‐SIRPalpha axis by delivery of anti‐CD47 antibody induces antitumor effects in glioma and glioma stem cells. Oncoimmunology. 2018;7(2):e1391973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Otvos B, Silver DJ, Mulkearns‐Hubert EE, et al. Cancer stem cell‐secreted macrophage migration inhibitory factor stimulates myeloid derived suppressor cell function and facilitates glioblastoma immune evasion. Stem cells. 2016;34(8):2026‐2039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Domenis R, Cesselli D, Toffoletto B, et al. Systemic T cells immunosuppression of glioma stem cell‐derived exosomes is mediated by monocytic myeloid‐derived suppressor cells. PLoS One. 2017;12(1):e0169932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199. Liu B, Cao Y, Li Y, et al. Glioma stem cells upregulate CD39 expression to escape immune response through SOX2 modulation. Cancers. 2022;14(3):783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Pellegatta S, Finocchiaro G. Dendritic cell vaccines for cancer stem cells. Methods Mol Biol. 2009;568:233‐247. [DOI] [PubMed] [Google Scholar]
- 201. Do ASS, Amano T, Edwards LA, Zhang L, De Peralta‐Venturina M, Yu JS. CD133 mRNA‐loaded dendritic cell vaccination abrogates glioma stem cell propagation in humanized glioblastoma mouse model. Mol Ther Oncolytics. 2020;18:295‐303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202. Zhu S, Lv X, Zhang X, et al. An effective dendritic cell‐based vaccine containing glioma stem‐like cell lysate and CpG adjuvant for an orthotopic mouse model of glioma. Int J Cancer. 2019;144(11):2867‐2879. [DOI] [PubMed] [Google Scholar]
- 203. Yao Y, Luo F, Tang C, et al. Molecular subgroups and B7‐H4 expression levels predict responses to dendritic cell vaccines in glioblastoma: an exploratory randomized phase II clinical trial. Cancer Immunol Immunother. 2018;67(11):1777‐1788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204. Marichal T, Tsai M, Galli SJ. Mast cells: potential positive and negative roles in tumor biology. Cancer Immunol Res. 2013;1(5):269‐279. [DOI] [PubMed] [Google Scholar]
- 205. Roy A, Attarha S, Weishaupt H, et al. Serglycin as a potential biomarker for glioma: association of serglycin expression, extent of mast cell recruitment and glioblastoma progression. Oncotarget. 2017;8(15):24815‐24827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Attarha S, Roy A, Westermark B, Tchougounova E. Mast cells modulate proliferation, migration and stemness of glioma cells through downregulation of GSK3beta expression and inhibition of STAT3 activation. Cell Signal. 2017;37:81‐92. [DOI] [PubMed] [Google Scholar]
- 207. Castriconi R, Daga A, Dondero A, et al. NK cells recognize and kill human glioblastoma cells with stem cell‐like properties. J Immunol. 2009;182(6):3530‐3539. [DOI] [PubMed] [Google Scholar]
- 208. Zhang X, Rao A, Sette P, et al. IDH mutant gliomas escape natural killer cell immune surveillance by downregulation of NKG2D ligand expression. Neuro‐oncology. 2016;18(10):1402‐1412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209. Haspels HN, Rahman MA, Joseph JV, Gras Navarro A, Chekenya M. Glioblastoma stem‐like cells are more susceptible than differentiated cells to natural killer cell lysis mediated through killer immunoglobulin‐like receptors‐human leukocyte antigen ligand mismatch and activation receptor‐ligand interactions. Front Immunol. 2018;9:1345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Shaim H, Shanley M, Basar R, et al. Targeting the alphav integrin/TGF‐beta axis improves natural killer cell function against glioblastoma stem cells. J Clin Investig. 2021;131(14):e142116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. Huang BY, Zhan YP, Zong WJ, et al. The PD‐1/B7‐H1 pathway modulates the natural killer cells versus mouse glioma stem cells. PLoS One. 2015;10(8):e0134715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Dersh D, Holly J, Yewdell JW. A few good peptides: mHC class I‐based cancer immunosurveillance and immunoevasion. Nat Rev Immunol. 2021;21(2):116‐128. [DOI] [PubMed] [Google Scholar]
- 213. Dhatchinamoorthy K, Colbert JD, Rock KL. Cancer immune evasion through loss of MHC class I antigen presentation. Front Immunol. 2021;12:636568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214. Yang W, Li Y, Gao R, Xiu Z, Sun T. MHC class I dysfunction of glioma stem cells escapes from CTL‐mediated immune response via activation of Wnt/beta‐catenin signaling pathway. Oncogene. 2020;39(5):1098‐1111. [DOI] [PubMed] [Google Scholar]
- 215. McCoy KD, Le Gros G. The role of CTLA‐4 in the regulation of T cell immune responses. Immunol Cell Biol. 1999;77(1):1‐10. [DOI] [PubMed] [Google Scholar]
- 216. Camara NO, Sebille F, Lechler RI. Human CD4+CD25+ regulatory cells have marked and sustained effects on CD8+ T cell activation. Eur J Immunol. 2003;33(12):3473‐3483. [DOI] [PubMed] [Google Scholar]
- 217. Cantini G, Pisati F, Mastropietro A, et al. A critical role for regulatory T cells in driving cytokine profiles of Th17 cells and their modulation of glioma microenvironment. Cancer Immunol Immunother. 2011;60(12):1739‐1750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218. Iwata R, Hyoung Lee J, Hayashi M, et al. ICOSLG‐mediated regulatory T‐cell expansion and IL‐10 production promote progression of glioblastoma. Neuro‐oncology. 2020;22(3):333‐344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Brescia P, Ortensi B, Fornasari L, Levi D, Broggi G, Pelicci G. CD133 is essential for glioblastoma stem cell maintenance. Stem Cells. 2013;31(5):857‐869. [DOI] [PubMed] [Google Scholar]
- 220. Wang CH, Chiou SH, Chou CP, Chen YC, Huang YJ, Peng CA. Photothermolysis of glioblastoma stem‐like cells targeted by carbon nanotubes conjugated with CD133 monoclonal antibody. Nanomedicine. 2011;7(1):69‐79. [DOI] [PubMed] [Google Scholar]
- 221. Smiley SB, Yun Y, Ayyagari P, et al. Development of CD133 targeting multi‐drug polymer micellar nanoparticles for glioblastoma ‐ in vitro evaluation in glioblastoma stem cells. Pharm Res. 2021;38(6):1067‐1079. [DOI] [PubMed] [Google Scholar]
- 222. Kim JS, Shin DH, Kim JS. Dual‐targeting immunoliposomes using angiopep‐2 and CD133 antibody for glioblastoma stem cells. J Control Release. 2018;269:245‐257. [DOI] [PubMed] [Google Scholar]
- 223. Shahcheraghi SH, Tchokonte‐Nana V, Lotfi M, Lotfi M, Ghorbani A, Sadeghnia HR. Wnt/beta‐catenin and PI3K/Akt/mTOR signaling pathways in glioblastoma: two main targets for drug design: a review. Curr Pharm Des. 2020;26(15):1729‐1741. [DOI] [PubMed] [Google Scholar]
- 224. Paul MR, Zage PE. Overview and recent advances in the targeting of medulloblastoma cancer stem cells. Expert Rev Anticancer Ther. 2021;21(9):957‐974. [DOI] [PubMed] [Google Scholar]
- 225. Vieira de Castro J, Goncalves CS, Hormigo A, Costa BM. Exploiting the complexities of glioblastoma stem cells: insights for cancer initiation and therapeutic targeting. Int J Mol Sci. 2020;21(15):5278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226. Tarasov VV, Svistunov AA, Chubarev VN, et al. Feasibility of targeting glioblastoma stem cells: from concept to clinical trials. Curr Top Med Chem. 2019;19(32):2974‐2984. [DOI] [PubMed] [Google Scholar]
- 227. Chinnaiyan P, Vallabhaneni G, Armstrong E, Huang SM, Harari PM. Modulation of radiation response by histone deacetylase inhibition. Int J Radiat Oncol. 2005;62(1):223‐229. biology, physics. [DOI] [PubMed] [Google Scholar]
- 228. Kim MS, Blake M, Baek JH, Kohlhagen G, Pommier Y, Carrier F. Inhibition of histone deacetylase increases cytotoxicity to anticancer drugs targeting DNA. Cancer Res. 2003;63(21):7291‐7300. [PubMed] [Google Scholar]
- 229. Hong X, O'Donnell JP, Salazar CR, et al. The selective Aurora‐A kinase inhibitor MLN8237 (alisertib) potently inhibits proliferation of glioblastoma neurosphere tumor stem‐like cells and potentiates the effects of temozolomide and ionizing radiation. Cancer Chemother Pharmacol. 2014;73(5):983‐990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230. Song A, Andrews DW, Werner‐Wasik M, et al. Phase I trial of alisertib with concurrent fractionated stereotactic re‐irradiation for recurrent high grade gliomas. Radiother Oncol. 2019;132:135‐141. [DOI] [PubMed] [Google Scholar]
- 231. Wang J, Liu X, Hong Y, et al. Ibrutinib, a Bruton's tyrosine kinase inhibitor, exhibits antitumoral activity and induces autophagy in glioblastoma. J Exp Clin Cancer Res. 2017;36(1):96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232. Galia A, Calogero AE, Condorelli R, et al. PARP‐1 protein expression in glioblastoma multiforme. Eur J Histochem. 2012;56(1):e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233. Tentori L, Ricci‐Vitiani L, Muzi A, et al. Pharmacological inhibition of poly(ADP‐ribose) polymerase‐1 modulates resistance of human glioblastoma stem cells to temozolomide. BMC Cancer. 2014;14:151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234. Venere M, Hamerlik P, Wu Q, et al. Therapeutic targeting of constitutive PARP activation compromises stem cell phenotype and survival of glioblastoma‐initiating cells. Cell Death Differ. 2014;21(2):258‐269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235. Lesueur P, Chevalier F, El‐Habr EA, et al. Radiosensitization effect of talazoparib, a parp inhibitor, on glioblastoma stem cells exposed to low and high linear energy transfer radiation. Scientific Rep. 2018;8(1):3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236. Xiong Y, Guo Y, Liu Y, et al. Pamiparib is a potent and selective PARP inhibitor with unique potential for the treatment of brain tumor. Neoplasia. 2020;22(9):431‐440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237. Wei KC, Hsu PW, Tsai HC, et al. Safety and tolerability of asunercept plus standard radiotherapy/temozolomide in Asian patients with newly‐diagnosed glioblastoma: a phase I study. Scientific Rep. 2021;11(1):24067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Holdhoff M, Ye X, Supko JG, et al. Timed sequential therapy of the selective T‐type calcium channel blocker mibefradil and temozolomide in patients with recurrent high‐grade gliomas. Neuro‐oncology. 2017;19(6):845‐852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239. Zhao Y, Huang H, Jia CH, et al. Apigenin increases radiosensitivity of glioma stem cells by attenuating HIF‐1alpha‐mediated glycolysis. Med Oncol. 2021;38(11):131. [DOI] [PubMed] [Google Scholar]
- 240. Ouyang WC, Liao YW, Chen PN, Lu KH, Yu CC, Hsieh PL. Hinokitiol suppresses cancer stemness and oncogenicity in glioma stem cells by Nrf2 regulation. Cancer Chemother Pharmacol. 2017;80(2):411‐419. [DOI] [PubMed] [Google Scholar]
- 241. Yang L, Guo H, Dong L, Wang L, Liu C, Wang X. Tanshinone IIA inhibits the growth, attenuates the stemness and induces the apoptosis of human glioma stem cells. Oncol Rep. 2014;32(3):1303‐1311. [DOI] [PubMed] [Google Scholar]
- 242. Kim SY, Kim JY, Avril T, et al. Challenges in glioblastoma research: focus on the tumor microenvironment. Trends Cancer. 2023;9(1):9‐27. [DOI] [PubMed] [Google Scholar]
- 243. Bikfalvi A, da Costa CA, Avril T, et al. Challenges in glioblastoma research: focus on the tumor microenvironment. Trends Cancer. 2023;9(1):9‐27 [DOI] [PubMed] [Google Scholar]
- 244. Clavreul A, Pourbaghi‐Masouleh M, Roger E, Menei P. Int J Nanomed. 2019;14:2497‐2513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245. Martin JD, Seano G, Jain RK. Normalizing function of tumor vessels: progress, opportunities, and challenges. Annu Rev Physiol. 2019;81:505‐534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246. Lombardi G, De Salvo GL, Brandes AA, et al. Regorafenib compared with lomustine in patients with relapsed glioblastoma (REGOMA): a multicentre, open‐label, randomised, controlled, phase 2 trial. Lancet Oncol. 2019;20(1):110‐119. [DOI] [PubMed] [Google Scholar]
- 247. Di Tomaso T, Mazzoleni S, Wang E, et al. Immunobiological characterization of cancer stem cells isolated from glioblastoma patients. Clin Cancer Res. 2010;16(3):800‐813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248. Wei J, Barr J, Kong LY, et al. Glioblastoma cancer‐initiating cells inhibit T‐cell proliferation and effector responses by the signal transducers and activators of transcription 3 pathway. Mol Cancer Ther. 2010;9(1):67‐78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249. Hua W, Yao Y, Chu Y, et al. The CD133+ tumor stem‐like cell‐associated antigen may elicit highly intense immune responses against human malignant glioma. J Neuro‐oncol. 2011;105(2):149‐157. [DOI] [PubMed] [Google Scholar]
- 250. Hu JL, Omofoye OA, Rudnick JD, et al. A phase I study of autologous dendritic cell vaccine pulsed with allogeneic stem‐like cell line lysate in patients with newly diagnosed or recurrent glioblastoma. Clin Cancer Res. 2022;28(4):689‐696. [DOI] [PubMed] [Google Scholar]
- 251. Vik‐Mo EO, Nyakas M, Mikkelsen BV, et al. Therapeutic vaccination against autologous cancer stem cells with mRNA‐transfected dendritic cells in patients with glioblastoma. Cancer Immunol Immunother. 2013;62(9):1499‐1509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 252. Batich KA, Reap EA, Archer GE, et al. Long‐term survival in glioblastoma with cytomegalovirus pp65‐targeted vaccination. Clin Cancer Res. 2017;23(8):1898‐1909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253. Zhu X, Prasad S, Gaedicke S, Hettich M, Firat E, Niedermann G. Patient‐derived glioblastoma stem cells are killed by CD133‐specific CAR T cells but induce the T cell aging marker CD57. Oncotarget. 2015;6(1):171‐184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 254. Vora P, Venugopal C, Salim SK, et al. The rational development of CD133‐targeting immunotherapies for glioblastoma. Cell Stem Cell. 2020;26(6):832‐844. e6. [DOI] [PubMed] [Google Scholar]
- 255. Brown CE, Badie B, Barish ME, et al. Bioactivity and safety of IL13Ralpha2‐redirected chimeric antigen receptor CD8+ T cells in patients with recurrent glioblastoma. Clin Cancer Res. 2015;21(18):4062‐4072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256. Zinn S, Vazquez‐Lombardi R, Zimmermann C, Sapra P, Jermutus L, Christ D. Advances in antibody‐based therapy in oncology. Nat Cancer. 2023;4(2):165‐180. [DOI] [PubMed] [Google Scholar]
- 257. Shen S, Chen L, Liu J, et al. Current state and future of co‐inhibitory immune checkpoints for the treatment of glioblastoma. Cancer Biol Med. 2020;17(3):555‐568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 258. Zhang N, Wei L, Ye M, Kang C, You H. Treatment progress of immune checkpoint blockade therapy for glioblastoma. Front Immunol. 2020;11:592612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259. Preusser M, Lim M, Hafler DA, Reardon DA, Sampson JH. Prospects of immune checkpoint modulators in the treatment of glioblastoma. Nat Rev Neurol. 2015;11(9):504‐514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 260. Reardon DA, Brandes AA, Omuro A, et al. Effect of nivolumab vs bevacizumab in patients with recurrent glioblastoma: the CheckMate 143 Phase 3 randomized clinical trial. JAMA Oncol. 2020;6(7):1003‐1010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261. Omuro A, Reardon DA, Sampson JH, et al. Nivolumab plus radiotherapy with or without temozolomide in newly diagnosed glioblastoma: results from exploratory phase I cohorts of CheckMate 143. Neurooncol Adv. 2022;4(1):vdac025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262. Lim M, Weller M, Idbaih A, et al. Phase III trial of chemoradiotherapy with temozolomide plus nivolumab or placebo for newly diagnosed glioblastoma with methylated MGMT promoter. Neuro‐oncology. 2022;24(11):1935‐1949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263. Schmidt‐Kittler O, Ragg T, Daskalakis A, et al. From latent disseminated cells to overt metastasis: genetic analysis of systemic breast cancer progression. Proc Natl Acad Sci USA. 2003;100(13):7737‐7742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264. Liau BB, Sievers C, Donohue LK, et al. Adaptive chromatin remodeling drives glioblastoma stem cell plasticity and drug tolerance. Cell Stem Cell. 2017;20(2):233‐246. e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265. Schulz A, Meyer F, Dubrovska A, Borgmann K. Cancer stem cells and radioresistance: dNA repair and beyond. Cancers. 2019;11(6):862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266. Wang J, Wakeman TP, Lathia JD, et al. Notch promotes radioresistance of glioma stem cells. Stem Cells. 2010;28(1):17‐28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267. Alcantara Llaguno S, Parada LF. Cancer stem cells in gliomas: evolving concepts and therapeutic implications. Curr Opin Neurol. 2021;34(6):868‐874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 268. Prager BC, Bhargava S, Mahadev V, Hubert CG, Rich JN. Glioblastoma stem cells: driving resilience through chaos. Trends Cancer. 2020;6(3):223‐235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 269. Prager BC, Xie Q, Bao S, Rich JN. Cancer stem cells: the architects of the tumor ecosystem. Cell Stem Cell. 2019;24(1):41‐53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 270. Eagles ME, Nassiri F, Badhiwala JH, et al. Dendritic cell vaccines for high‐grade gliomas. Ther Clin Risk Manag. 2018;14:1299‐1313. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
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