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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.743814</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Glioma Stem-Like Cells and Metabolism: Potential for Novel Therapeutic Strategies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Harland</surname>
<given-names>Abigail</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1404607"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1434016"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ghirardello</surname>
<given-names>Mattia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1412441"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Galan</surname>
<given-names>M. Carmen</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1433821"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Perks</surname>
<given-names>Claire M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/24401"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kurian</surname>
<given-names>Kathreena M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/132009"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Brain Tumour Research Centre, Bristol Medical School, University of Bristol</institution>, <addr-line>Bristol</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Galan Research Group, School of Chemistry, University of Bristol</institution>, <addr-line>Bristol</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>IGFs and Metabolic Endocrinology Group, Bristol Medical School, Translational Health Sciences, Southmead Hospital, University of Bristol</institution>, <addr-line>Bristol</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nadia Judith Jacobo-Herrera, Instituto Nacional de Ciencias M&#xe9;dicas y Nutrici&#xf3;n Salvador Zubir&#xe1;n (INCMNSZ), Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Suojun Zhang, Huazhong University of Science and Technology, China; Qiang Huang, Second Affiliated Hospital of Soochow University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Abigail Harland, <email xlink:href="mailto:ah15974@bristol.ac.uk">ah15974@bristol.ac.uk</email>; Kathreena M. Kurian, <email xlink:href="mailto:kathreena.kurian@bristol.ac.uk">kathreena.kurian@bristol.ac.uk</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>&#x2020;These authors share senior authorship</p>
</fn>
<fn fn-type="other" id="fn003">
<p>This article was submitted to Cancer Metabolism, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>743814</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Harland, Liu, Ghirardello, Galan, Perks and Kurian</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Harland, Liu, Ghirardello, Galan, Perks and Kurian</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Glioma stem-like cells (GSCs) were first described as a population which may in part be resistant to traditional chemotherapeutic therapies and responsible for tumour regrowth. Knowledge of the underlying metabolic complexity governing GSC growth and function may point to potential&#xa0;differences between GSCs and the tumour bulk which could be harnessed clinically. There is an increasing interest in the direct/indirect targeting or reprogramming of GSC metabolism as a potential novel therapeutic&#xa0;approach in the adjuvant or recurrent setting to help overcome resistance which may be mediated by GSCs. In this review&#xa0;we will discuss stem-like models, interaction between metabolism and GSCs, and potential current and future strategies for overcoming GSC resistance.</p>
</abstract>
<kwd-group>
<kwd>cancer stem cell (CSC)</kwd>
<kwd>therapeutic strategies</kwd>
<kwd>cancer metabolism</kwd>
<kwd>glioma stem-like cell</kwd>
<kwd>metabolic reprogramming</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="217"/>
<page-count count="22"/>
<word-count count="10486"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Innovative treatment approaches to Glioblastoma (GBM) have thus far been unsuccessful in part due to therapeutic resistance, resulting in disease recurrence (<xref ref-type="bibr" rid="B1">1</xref>). GBM is the most common intrinsic brain tumour in adults and is classed as the highest grade (IV) astrocytoma by the World Health Organisation (WHO) (<xref ref-type="bibr" rid="B2">2</xref>). Characteristic infiltration into surrounding structures of the brain as well as central necrotic regions can be identified using histopathological studies (<xref ref-type="bibr" rid="B2">2</xref>). Post diagnosis, GBM has a survival time of just 12-18 months in response to current chemoradiation protocols following surgical resection as outlined in the Stupp protocol (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). In addition, only around 5% of patients survive longer than 5 years post-diagnosis (<xref ref-type="bibr" rid="B5">5</xref>). Previously, GBMs have been categorised based on whether they derive from lower grade lesions, first defined by Scherer in the 1940s (<xref ref-type="bibr" rid="B2">2</xref>). The rapid and <italic>de novo</italic> development of aggressive lesions is defined as primary GBM, accounting for approximately 95% of cases and thought to develop in part from a defined set of oncogenic mutations (<xref ref-type="bibr" rid="B6">6</xref>). In contrast, secondary GBM cases have been identified as evolving from lower grade astrocytoma precursors, often distinguished by the presence of the isocitrate dehydrogenase 1 (<italic>IDH1</italic>) mutation and given a more favourable prognosis due to more frequent diagnosis in younger patients (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>To gain insight into the molecular drivers of GBM, studies have extensively profiled tumours, reporting both genetic and epigenetic mutations believed to play a part in tumour initiation and progression including loss of heterozygosity (LOH) 10q, amplification of epidermal growth factor receptor (EGFR), deletion of <italic>p16INK4a</italic> and mutations in tumour protein 53 (<italic>TP53</italic>) and phosphatase and tensin homolog (<italic>PTEN</italic>) (<xref ref-type="bibr" rid="B6">6</xref>). Reports from The Cancer Genome Atlas (TCGA) have also provided insight for grade IV tumours, providing a comprehensive understanding of genetic, expression and epigenetic aberrations (<xref ref-type="bibr" rid="B8">8</xref>). Clustering GBM data for gene expression, survival and treatment response has identified distinct neoplasm subtypes. The classification of these phenotypic profiles varies between research groups but include: proneural (PN), proliferative, sometimes split into neural (N) and classical (C) and mesenchymal (MES) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Complicating matters further, data inclusive of intratumoural heterogeneity through genomic multisampling, has revealed the presence of multiple co-existing subtypes within the same patient tumour (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>In addition, the recognition that many cancers are defined by common hallmarks such as abnormal metabolic function, pioneered by Hanahan and Weinberg (2011), has provided the possibility that the differences between tumour and normal cells could be defined as therapeutic targets (<xref ref-type="bibr" rid="B12">12</xref>). Experimentally observed metabolic differences in GBM studies are thought to be a combined result of oncogenic drivers, the tumour microenvironment (TME) and the presence of distinct cell populations such as GSCs (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Despite controversial beginnings, the acceptance of a cell type with characteristics distinct from the tumour bulk conferring resistance to standard treatment has led to a widespread belief that the eradication of&#xa0;GSCs would hinder tumour initiation, reestablishment and&#xa0;greatly improve patient outcome (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Therefore, there is an increasing aim to understand the apparent intrinsic metabolic plasticity of these cells and their ability to adapt and&#xa0;compensate for extreme environmental stressors such as toxic chemotherapeutics (<xref ref-type="bibr" rid="B17">17</xref>). Furthermore, it is becoming increasingly clear from the field of cancer research that the combination of multiple therapies may be the most promising approach to overcome heterogenic treatment responses of different cells (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The objective of this review is to investigate experimental evidence for GSC metabolic flexibility and particularly bioenergetic capacity in comparison with normal and tumour bulk cells. Due to the pressing need for increasing GBM survival beyond such dismal figures, this review also aims to give an overview of the rationale behind new metabolic strategies (both experimental and clinical) for GBM treatment, with a focus on the GSC population. </p>
</sec>
<sec id="s2">
<title>GSCs and Cancer Stem-Like Cell Models</title>
<p>Cancer Stem Cells (CSCs), (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>- stem cell/hierarchical model) in some cases are thought to derive from the mutation of non-neoplastic stem cells, recapitulating certain stem cell properties and the potential to reconstitute a tumour through unidirectional symmetric self-renewal of the CSC pool and asymmetric divisions to generate&#xa0;the differentiated tumour bulk (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). However, contradictory experimental evidence has led to a contrasting model (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>- stochastic/clonal evolution model)&#xa0;in which the selective oncogenic mutation of any somatic cell could progressively accumulate mutations that produce a stem-like phenotype, forming several CSCs clones&#xa0;which have selective growth and evolutionary advantages over others (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). These linear models have since been hybridised (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>-plasticity model) with the suggestion that all the cells forming the tumour bulk have the potential to become CSCs through a dedifferentiation process (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> The cancer stem cell/hierarchical model: The CSC benefits from inherent stem cell features to support malignancy; unlimited clonal expansion and self-renewal. The self-maintaining CSC population(s) are believed to differentiate in a reversible manner, producing different tumoral populations of faster proliferating cells with limited lifespan. A hierarchy is set up in which CSCs define a biologically distinct subdivision of a tumour, giving rise to further behaviourally and functionally heterogenous, non-tumorigenic cells of the tumour bulk. <bold>(B)</bold> The stochastic/clonal evolution model: Following neoplastic induction <italic>via</italic> oncogenic mutation, rapid proliferation, in combination with cumulative mutation acquisition would give rise to variants with additional selective advantages. In this model, any malignant cell is assumed as having an equal probability for tumour initiation due to identical biological features and the stochastic nature of mutation acquisition, as well as the unpredictable influence of external cues on behavioural shifts. Therefore, tumour initiating ability cannot be isolated or enriched for. <bold>(C)</bold> The plasticity model: A more flexible model, &#x2018;merging&#x2019; the two previous models. Possible incorporation for bidirectional interconversion between cellular potencies, including the retrodifferentiation of non-cancer stem cells to reacquire stem characteristics.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743814-g001.tif"/>
</fig>
<p>Singh et&#xa0;al. first described the concept of brain tumour initiating cells based on experimental data suggesting that only the Prominin 1/CD133+ population within GBM had the ability to initiate brain tumours in non-obese, diabetic/severe combined immunodeficiency (NOD/SCID) mice, compared with the CD133- negative population (<xref ref-type="bibr" rid="B13">13</xref>). Their group proposed that this glioma stem-like population may follow the unidirectional stem cell/hierarchical model of cell division described above, also reviewed by Singh et&#xa0;al. (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B28">28</xref>). More recent evidence for this finding includes studies by Lan et&#xa0;al. in which lineage tracing and lentiviral DNA barcoding of NOD/SCID/IL2r&#x3b3;<sup>null</sup> mice implanted with GSC clones revealed the retention of a proliferative hierarchy (<xref ref-type="bibr" rid="B20">20</xref>). By contrast, subsequent studies have shown that the CD133-population also have brain tumour initiating properties, suggestive of potential non-hierarchical phenotypic alterations (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>).&#xa0;Although the field recognises the challenge of identifying a single specific glioma stem marker (originally thought to be CD133) or combination of markers to define a specific developmental duration, it&#x2019;s possible&#xa0;that stochastic marker expression such as CD133, CD15 and CD44 could confer a survival advantage (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). In this way, the plasticity model looks to be a more accurate description of the development and behaviour of these cells, giving rise to the vast&#xa0;heterogeneity observed within a GBM tumour (<xref ref-type="bibr" rid="B33">33</xref>). Suva&#xa0;et&#xa0;al. demonstrated that neurodevelopmental transcription factors: sex determining region Y box 2 (SOX2), oligodendrocyte transcription factor (OLIG2), POU domain class 3 transcription factor 2 (POU3F2) and spalt like transcription factor 2 (SALL2) can be used to artificially reprogramme single cell primary glioblastoma cultures to a stem-like state, provides evidence for central nervous system (CNS) cell susceptibility to hierarchical reversal (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Furthermore, other groups have used mathematical modelling to predict stem cell marker combinations which may reflect&#xa0;plasticity during glioblastoma growth and dictate phenotypic heterogeneity within the stem cell population (<xref ref-type="bibr" rid="B14">14</xref>). Collectively, this evidence has led to novel interpretations of the GBM energetic landscape consisting of intrinsic diverse transcriptional and epigenetic microstates as well as plasticity in response to extrinsic cues as one of the most challenging concepts to overcome for treatment success (represented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Schematic showing the microstate transitions within the GSC population (within the circled dotted line) due to enhanced transcriptional and epigenetic potential, underpinned by extrinsic cues. Double headed arrows represent dynamic transitioning between GSC states, resulting in cellular reprogramming of metabolic, apoptotic and cell cycle programs. Non-tumorigenic subpopulations emerge due to the reversible differentiation and feedback of GSC states (double-headed curly arrows). Factors affecting transition state, subpopulation size and dynamic fluxing between states include external cues such as therapeutic intervention, cell-cell/cell-environmental interactions and spatial tissue characteristics. Intrinsic changes manifest as subpopulations with distinct genetic/chromosomal aberrations and epigenetic&#xa0;programmes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743814-g002.tif"/>
</fig>
</sec>
<sec id="s3">
<title>Altered Metabolism in GSCs</title>
<p>Cellular metabolic reprogramming is considered a novel emerging hallmark of cancer as evidenced by Hanahan and Weinberg&#x2019;s &#x2018;Hallmarks of Cancer: The Next Generation&#x2019; (2011) (<xref ref-type="bibr" rid="B12">12</xref>). The identification of malignant metabolic alterations conferring advantages for cellular growth and resistance has now become a major research aim, as reviewed by Tennant et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>). Experimental studies evidencing GSC superior resistance against current therapeutics have led to the suggestion that inherent metabolic plasticity allows these cells to adapt and compensate, and in some cases initiate the conversion of tumour bulk cells towards a stem-like phenotype to adopt this resistance (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>) (See <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> for a schematic representation of GSC metabolism). Therefore, it is important to consider that GSCs may be metabolically diverse from both normal somatic cells as well as cells of the tumour bulk, that have been well studied for malignant transformation of these processes.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Schematic showing some of the major metabolic pathways for GSC bioenergetic function and potential adaptability. The import of both glucose and glutamine are emphasised as the major nutrients available for cellular uptake though their respective transporters. Glucose is imported through the cellularly expressed glucose transporter, in this case either GLUT1 or GLUT3 and is enzymatically processed in the cytoplasm to pyruvate. Glycolytic processing can yield intermediate precursors largely subject to processing <italic>via</italic> the PPP &#x2013; a major nucleotide synthesis pathway. Complete glycolytic processing to pyruvate is determined by the final enzymatic step - conversion of PEP by PKM2, yielding either lactate for export through MCT4 or pyruvate for mitochondrial entrance and processing <italic>via</italic> TCA and OXPHOS. In addition, Glutamine is imported <italic>via</italic> the ASCT2 transporter and enzymatically converted to glutamate <italic>via</italic> GLS. The reverse reaction is catalysed by GS. Direct conversion of Glutamate to cytoplasmic glutathione can take place <italic>via</italic> GCL, however, indirect conversion can also take place <italic>via</italic> xCT export, coupled to cystine import. Glutamate can be processed further to synthesise amino acids and lipids but can similarly be used for TCA anaplerosis <italic>via</italic> mitochondrial import and conversion to &#x3b1;KG by the transaminases <italic>GPT</italic>&#xa0;and&#xa0;<italic>GOT</italic> or GLUD. Black arrows represent glycolysis and glutaminolysis. Blue curly arrows represent the shuttling of intermediates from glycolysis and glutaminolysis and their processing by subsequent enzyme-catalysed reactions. Blue dashed arrows represent mitochondrial import/export. Magenta arrows represent the reactions that take place as a result of IDH1/2 mutations. &#x3b1;KG, &#x3b1;-ketoglutarate; ECT, Electron transport chain; FBP1, Fructose-1,6 bisphosphatase 1; G3P, Glyceraldehyde-3-phosphate; GCL, Glutamate-cysteine ligase; GLS, Glutaminase; GLUD1, Glutamate dehydrogenase; GLUT1/3, Glucose transporters 1/3; GOT, Glutamic oxaloacetic transaminase; GPT, Glutamate pyruvic transaminase; GS, Glutamine synthetase; HK2, hexokinase 2; IDH, Isocitrate dehydrogenase; LDHA, lactate dehydrogenase A; MCT4, Monocarboxylate transporter 2; OXPHOS, Oxidative phosphorylation; P, Phosphate; PC, Pyruvate carboxylase; PDH, Pyruvate dehydrogenase; PDK1- Pyruvate dehydrogenase kinase 1 PEP- Phophoenolpyruvate; PFK, Phosphofructokinase; PKM2, Pyruvate kinase M2, TCA, The citric acid cycle.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743814-g003.tif"/>
</fig>
<p>In normal cells when oxygen is abundant, differentiated mammalian cells fully oxidise extracellularly imported glucose in a highly efficient series of reactions. Glucose uptake is regulated through glucose transporters (GLUTs) into the cellular cytoplasm where it can then be processed to pyruvate through multiple enzyme-catalysed reactions. Pyruvate can be shuttled into the mitochondrial matrix for entrance into the tricarboxylic acid cycle (TCA) and oxidative phosphorylation (OXPHOS), yielding approximately 30/32 adenosine triphosphate (ATP) molecules for every molecule of glucose imported (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>However, the early investigations into metabolic energy alterations in tumours by Otto Warburg and Carl and Gerty Cori in the 1920s revealed the paradoxical observation that cancer cells preferentially respire using glycolytic lactate production despite the presence of oxygen; later known as &#x2018;The Warburg effect&#x2019; (<xref ref-type="bibr" rid="B41">41</xref>). This phenomenon, also referred to as the process of &#x2018;aerobic glycolysis&#x2019; <italic>i.e.</italic> using anaerobic glycolysis in an oxidative environment, only yields approximately two molecules of (ATP) per glucose molecule. The finding has since precipitated widespread acceptance that increased glucose uptake is a shared cancer trait and can be exploited by positron emission tomography (PET) to inform clinical diagnosis of malignancy (<xref ref-type="bibr" rid="B42">42</xref>). PET measurements of glucose and oxygen processing in 14 patients with high grade tumours reported by Vlassenko et&#xa0;al. showed increased aerobic glycolysis that was associated with significant tumour proliferation and aggression, correlating with poor patient survival (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Since rapid cell division requires large concentrations of cytoplasmic macromolecular precursors for building new cells, it is believed that reducing glucose processing at pyruvate as described by Warburg, facilitates the diversion of carbon through alternative biosynthetic processes (<xref ref-type="bibr" rid="B44">44</xref>). The pentose phosphate pathway (PPP) is mainly responsible for nucleotide biosynthesis and rapid flux has been described as a major driver of proliferation for the &#x2018;Warburg phenotype&#x2019; (<xref ref-type="bibr" rid="B45">45</xref>). In fact, PPP functioning was shown by De Preter et&#xa0;al. to be instrumental in a range of malignancies such as SiHa human cervix squamous cell carcinoma using pharmacological inhibition and enzymatic siRNA knock down of the pathway, resulting in a dramatic decrease in proliferation (<xref ref-type="bibr" rid="B45">45</xref>). A combination of studies has also been instrumental in understanding that fine tuning between glycolytic and PPP flux can lead to phenotypic balancing in GSCs, with a hypoxia driven metabolic switch to non-oxidative glucose processing causing an initial reduction in PPP enzyme expression, provoking cell migration (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Moreover, investigations of cells exposed to long-term hypoxia showed that PPP enzymes vital for proliferation can become upregulated, mirroring the phenotype of oxygenated GSCs from hypoxic culture, carried out by Kathagen et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>). In addition to the PPP, <sup>13</sup>C nuclear magnetic resonance (NMR) spectroscopic analysis of patient high grade glioma samples obtained by Maher et&#xa0;al. revealed additional glucose shuttling into other enzymatic reactions for cellular glutamate, glutamine and glycine pool replenishment (<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Key regulators of the Warburg phenotype have been investigated. Pyruvate kinase (PK) - the final control point in the glycolysis pathway, exhibits pivotal roles in sensing cellular metabolic state and functioning as a rate-limiting enzyme (<xref ref-type="bibr" rid="B50">50</xref>). In addition, the unequal expression of isoforms (PK-M1 and PK-M2) has been described for cancers including GBM, imperative for dictating the energetic fate of glucose (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Isoform expression analysis by Mukherjee et&#xa0;al. revealed a much greater PK-M1 expression in the normal brain, contrasting with PK-M2 in grade I-IV astrocytoma specimens. In addition to this disparity, PK-M2 mRNA showed 3-5 times higher expression in GBM compared to grade I-III gliomas, indicating that dramatic increases in expression could enhance tumour severity (<xref ref-type="bibr" rid="B52">52</xref>). Constitutively active PK-M2 exists as a tetramer, favouring the production of pyruvate and TCA cycle processing for the production of ATP through OXPHOS (<xref ref-type="bibr" rid="B53">53</xref>). However, this enzyme is also susceptible to post-translational modification and allosteric regulation by fructose 1,6-bisphosphate (FBP) making it unstable and likely to exist as a dimer with lower affinity for phosphoenolpyruvate (PEP), promoting glycolytic intermediate accumulation (<xref ref-type="bibr" rid="B53">53</xref>). In fact, PKM2 has been used as a biomarker for GBM malignant growth in studies by both Witney et&#xa0;al. and Beinat et&#xa0;al. in which PET imaging with the experimental radiotracer 1-((2-fluoro- 6-[<sup>18</sup>F]fluorophenyl)sulfonyl)-4-((4-methoxyphenyl)sulfonyl)piperazine ([<sup>18</sup>F]DASA- 23) was used to assess the glycolytic response of cells to a range of current treatments (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). The effectiveness of this radiotracer for diagnosis of suspected GBM cases is currently being investigated in a phase I clinical trial (trial identifier: NCT03539731).</p>
</sec>
<sec id="s4">
<title>Oncogenic Drivers of Aerobic Glycolysis in GBM</title>
<p>Classically, oncogenic events have been examined for their role in the dynamic alteration of cellular metabolism and due to the ground-breaking description of the Warburg effect, the focus of many studies has been key drivers of this malignant process. There is an abundance of studies that illustrate a correlation between malignancy and increasing concentrations of glycolytic biosynthetic machinery such as GLUT1/3 and glycolytic enzymes for accelerated pathway flux (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>For GBM, common driver and tumour-suppressor genetic alterations include phosphoinisitide 3-kinase (PI3K) mutations for uncontrolled signalling, driving the continual activation of protein kinase B/Akt and leading to high rates of glucose import (<xref ref-type="bibr" rid="B58">58</xref>). Characteristic to GBM, upstream activation of PI3K often takes place through epidermal growth factor receptor (EGFR) <italic>via</italic> amplification or mutation as well as loss of PTEN antagonism (<xref ref-type="bibr" rid="B59">59</xref>). Crucially, PI3K/Akt signalling can be activated downstream of a wide array of growth factor receptors including platelet-derived growth factor receptor (PDGFR) &#x2013; normally implicated in the mediation of tumoral proliferation predominantly in the PN GBM subtype (<xref ref-type="bibr" rid="B60">60</xref>). In contrast, the PDGFR has also been shown to regulate glycolysis in GSCs independently of proliferation (<xref ref-type="bibr" rid="B60">60</xref>). Constitutive Akt activation has been repeatedly implicated in tumoral glucose &#x2018;addiction&#x2019;, often being termed the main instigator of the aerobic switch, involved in elevated GLUT expression, membrane translocation and the regulation of carbon biosynthetic shuttling (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>In addition, changes in hexokinase (HK) expression have been reported in GBM studies such as those by Wolf et&#xa0;al., showing that higher GBM grades express higher levels of HK2 leading to the promotion of cell survival and growth (<xref ref-type="bibr" rid="B61">61</xref>). Moreover, siRNA knockdown of HK2 using intracranial xenografts conferred increased tumour invasion but less ability to proliferate and carry out angiogenesis (<xref ref-type="bibr" rid="B61">61</xref>). Furthermore, transcription and growth factor studies in hepatocellular carcinoma cell lines have helped delineate signalling events that can give rise to HK2 expression, including cyclic adenosine monophosphate (cAMP), glucagon, mutant p53, insulin growth factor (IGF), hypoxia inducible factor-1&#x3b1; (HIF-1&#x3b1;) during hypoxia and Myc signalling (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). PI3K/Akt signalling has also been shown to stimulate HK2-mediated cell survival <italic>via</italic> mitochondrial translocation and interaction with voltage-dependent anion channels in HeLa cells, preventing the binding of bcl-2-like protein 4 (BAX), and increasing the release of cytochrome C (<xref ref-type="bibr" rid="B64">64</xref>). A depleted level of HK2 antagonism by downregulation of miR-143 in GSCs has been established to increase the self-renewal potential of these cells in studies by Zhao et al. Lentiviral miR-143 transfection of GSCs by the group showed decreased tumorigenicity even under hypoxic culture, suggesting that loss of miR-143 is instrumental for GSC progression, favourably implicating miR-134 upregulation as a therapeutic target (<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>c-Myc has also been frequently described as another major driver of aerobic glycolysis, with overexpression causing the downstream upregulation of HK2, PKM2 and lactate dehydrogenase A (LDHA) in studies by Tateishi et&#xa0;al. (<xref ref-type="bibr" rid="B66">66</xref>). The mechanistic target of rapamycin complex 2 (mTORC2), a downstream nutrient sensor of Akt involved in the control of lipid and protein synthesis has also been shown to activate Myc in the absence of upstream Akt (<xref ref-type="bibr" rid="B67">67</xref>). Furthermore, the retrospective analysis of patients with brain metastases by Neider et&#xa0;al. showed elevated LDH levels, with additional studies in GBM showing that tumour derived LDH5 can confer immune escape by impeding the recognition of the tumour by natural killer cells (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>). Additionally, higher LDH-A expression in studies by Kim et&#xa0;al. using U87 GBM cells was shown to be associated with faster tumour growth kinetics, mirroring that of astrocytes (<xref ref-type="bibr" rid="B70">70</xref>). Moreover, the small molecule inhibition of LDH-A by Daniele et&#xa0;al. promoted cellular apoptosis in U87 cells as well as an induction of GSC differentiation of neurospheres (<xref ref-type="bibr" rid="B71">71</xref>).</p>
<p>Lastly, inherently characteristic to GBM categorisation, mutant IDH1/2 has a significant impact on tumoural prognosis (<xref ref-type="bibr" rid="B72">72</xref>). Wild type IDH catalyses the recognised TCA conversion of isocitrate to &#x3b1;-ketoglutarate (&#x3b1;-KG) and is predominantly associated with primary/<italic>de novo</italic> cases of GBM (<xref ref-type="bibr" rid="B73">73</xref>). &#x3b1;-KG can function as a co-factor for enzymes such as dioxygenases and histone demethylases involved in epigenetic modification (<xref ref-type="bibr" rid="B74">74</xref>). However, mutant IDH has been observed in more than 90% of secondary GBM cases, catalysing the conversion of isocitrate to the clinically recognised oncometabolite D-2-hydroxyglutarate (D-2-HG) (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B75">75</xref>). D-2-HG is involved in the competitive inhibition of the &#x3b1;-KG dependent dioxygenases, leading to alterations in global deoxyribonucleic acid (DNA) hypermethylation [including O<sup>6</sup>-methylguanine-DNA methyltransferase (<italic>MGMT</italic>) promoter methylation] and differentiation suppression (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B76">76</xref>). In addition, IDH1 mutant glioma is associated with the CpG island methylator phenotype (CIMP) first described for colorectal cancer, and in GBM (G-CIMP) is associated with the PN molecular subtype (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>). This mutation is clinically associated with a higher frequency of occurrence in younger patients and largely correlates with longer overall survival time (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B80">80</xref>).</p>
</sec>
<sec id="s5">
<title>GSC Metabolic Resilience</title>
<sec id="s5_1">
<title>Glucose Oxidation</title>
<p>In one of the first assessments of CSC metabolic states, Vlashi et&#xa0;al. studied the oxygen consumption rate and external acidification rate of GSC neurospheres derived from three independent GBM samples, compared with differentiated progenies cultured as monolayers (<xref ref-type="bibr" rid="B81">81</xref>). The group found that GSCs exhibited lower glucose uptake rates, lower lactate production, higher ATP levels and were therefore less glycolytic. Moreover, the group proposed that differentiation could induce a switch from a dominant use of OXPHOS for ATP production to glycolytic dependency (<xref ref-type="bibr" rid="B81">81</xref>). By contrast, GSCs derived in the same way from U87 tumours by Zhou et&#xa0;al. showed no significant difference in ATP levels in hypoxic versus normoxic conditions (<xref ref-type="bibr" rid="B82">82</xref>). When assessed under exclusive normoxia, elevated GSC lactate production was observed as well as a 4-fold increase in glucose uptake, suggestive of predominant glycolysis (<xref ref-type="bibr" rid="B82">82</xref>). Rationalisation of this result with findings from other GSC studies include the increased expression of neuronal GLUT3 by these cells for higher affinity glucose uptake, with GLUT3 knockdown in studies by Flavahan et&#xa0;al. conferring a significant decrease in the growth of GSCs (<xref ref-type="bibr" rid="B83">83</xref>).&#xa0;In addition, Zhou et&#xa0;al. showed that GSCs derived from two GBM surgical specimens expressed lower levels of voltage-dependent anion channel 2 (VDAC2) than the differentiated phenotype, believed to be essential for preservation of stem cell features, tumorigenicity and phosphofructokinase (PFKP) mediated glycolysis (<xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>By collectively interpreting contrasting results from the GSC studies discussed, more detailed analysis reveals additional complexity, suggestive of heterogenous metabolic phenotypes within a single tumour (<xref ref-type="bibr" rid="B85">85</xref>). For example, Hoang-Minh et&#xa0;al.&#x2019;s separation using CellTrace dyes and metabolic characterisation of GBM cell cycling speeds relative to bioenergetic strategy indicated that slow cycling cell (SCC) tumour populations, believed to be enriched in GSCs, were shown to survive predominantly using OXPHOS and lipid metabolism (<xref ref-type="bibr" rid="B86">86</xref>). SCCs derived from primary human GBM cell lines also displayed elevated chemoresistance and invasive capacity (<xref ref-type="bibr" rid="B86">86</xref>). Furthermore, a multitude of studies have recorded GSC metabolic subtype disparity, in which Gene Set Variation Analysis (GSVA) of TCGA GBM subtypes reveal that MES GBMs predominantly correlate with glycolytic pathways (<xref ref-type="bibr" rid="B87">87</xref>). Moreover, the metabolic enzyme analyses of MES GBM have revealed preferential glycolytic enzyme expression such as aldehyde dehydrogenase 1A3 (ALDH1A3) (<xref ref-type="bibr" rid="B87">87</xref>).&#xa0;This metabolic heterogeneity has been further highlighted by Duraj et&#xa0;al.&#x2019;s application of 4 different metabolic drugs (metformin (MF), dichloroacetate, sodium oxamate and diazo-5-oxo-L-norleucine) to three GSC types, shown to exhibit different drug sensitivities due to initial cellular glycolytic/oxidative tendencies (<xref ref-type="bibr" rid="B88">88</xref>).</p>
<p>The employment of updated techniques to directly quantify metabolites for metabolic flux analysis <italic>in vitro</italic> and <italic>in vivo</italic> has also catalysed an increased acceptance for metabolic plasticity, challenging the categorisation of discrete malignant metabolic phenotypes pioneered by Warburg&#xa0; (<xref ref-type="bibr" rid="B89">89</xref>). In more contemporary studies, Shibao et&#xa0;al. derived isogenic glioma initiating cells (GICs) from neural stem cells (NSCs) expressing the H-Ras<sup>V12</sup> oncoprotein and showed that orthotopic primary tumour initiation was independent of initial cellular metabolic state and glycolytic enzyme expression (<xref ref-type="bibr" rid="B90">90</xref>). Furthermore, clonally derived GSCs from the same GIC 14 days post <italic>in vivo</italic> initiation showed tumour sustenance of metabolic diversity, thought to demonstrate the possibility for coexistence of GSCs with different bioenergetic strategies within the same tumour, relative to their environmental niche (<xref ref-type="bibr" rid="B90">90</xref>). Transcriptional up/downregulation of the glycolytic enzymes HK2, PKM2, LDHA and PDK1 were also recorded following the observation that cells were able to glycolytically compensate on exposure to hypoxia, and vice versa using OXPHOS after glycolytic inhibition, indicative of cellular metabolic coping mechanisms for continued biosynthesis (<xref ref-type="bibr" rid="B90">90</xref>). </p>
</sec>
<sec id="s5_2">
<title>Glutamate Metabolism</title>
<p>Regardless of the potential that the Warburg hypothesis brought for glycolytic inhibitor targeting, cancer cell survival and resistance remains a barrier to therapeutic success. As time has passed, the elucidation of a tangled cellular metabolic network has precipitated increasing futility of unimodal targeting strategies excluding tumoral heterogeneity and TME remodelling. Therefore, it is important to consider how the glycolytic pathway fits into a larger picture of cellular metabolism (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) and thus, isolated targeting of this pathway may be increasingly misjudging the tangled network of cell coping mechanisms. DeBerardinis et&#xa0;al. noted that simply observing a heavy cellular reliance on aerobic glycolysis may be accessory to a temporary metabolic strategy, facilitating the production of proliferative precursors as opposed to a complete impairment of the oxidative pathway (<xref ref-type="bibr" rid="B91">91</xref>). The group also illustrated that the catabolism of glutamine in addition to other carbon sources such as acetate shown by Mashimo et&#xa0;al. may be an imperative feature of Warburg&#x2019;s observed cancer cell phenotype, &#x2018;picking up&#x2019; the burden of TCA anaplerosis and nicotinamide adenine dinucleotide phosphate (NADPH) synthesis for continued cell maintenance (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>Glutamine is an abundant plasma nutrient essential for cellular catabolic regulation, flux and processing of carbon, nitrogen and reducing equivalents (<xref ref-type="bibr" rid="B91">91</xref>). Integrating results from the study of GBM, other cancers and neurodegenerative disorders, a crucial balance between glutamine synthesis and catabolism has been recognised (<xref ref-type="bibr" rid="B93">93</xref>). Glutamine uptake by the alanine/serine/cysteine transporter 2 (ASCT2) transporter is followed by cytoplasmic glutaminase (GLS) conversion to glutamate and subsequent fate processing dependent upon cell requirements. Glutamate can be directly processed to the antioxidant glutathione <italic>via</italic> glutamate-cysteine ligase (GCL) enzymatic combination with intracellular cysteine or exported though through xCT (cysteine/glutamate transporter) subject to cysteine import (<xref ref-type="bibr" rid="B94">94</xref>). The GBM xCT mediated export of glutamate has been shown to confer tumoural invasive expansion of rat striata implanted glioma cell clones with staining showing neuronal degeneration and inflammation of the surrounding TME (<xref ref-type="bibr" rid="B95">95</xref>). Moreover, immunoprecipitation analysis of three glioma cell lines and two primary human GBM cells by Tsuchihashi et&#xa0;al., revealed the control of xCT surface expression was subject to direct interaction with the EGFR intracellular domain, a mechanism which has since been further delineated by the group&#xa0; (<xref ref-type="bibr" rid="B96">96</xref>, <xref ref-type="bibr" rid="B97">97</xref>). Glutamate is also instrumental for non-essential amino acid synthesis as well as purine and pyrimidine nucleotide precursors (<xref ref-type="bibr" rid="B94">94</xref>). Furthermore, glutaminolysis for the continued TCA flux and maintenance of biosynthetic intermediates has been a prominent feature in the study of cancer transformation.</p>
<p>In the healthy brain glutamine production <italic>via</italic> the glutamine synthetase (GS) catalytic condensation of glutamate and ammonia exclusively by astrocytes can be cooperatively utilised by neuronal GLS for glutamate hydrolysis and subsequent neurotransmission; termed &#x2018;the glutamine-glutamate cycle&#x2019; (<xref ref-type="bibr" rid="B98">98</xref>). The ammonia utilised by GS is a product of amino acid breakdown and this enzyme is therefore essential for detoxification as well as uncontrolled neurotransmission through clearing glutamate from the synaptic cleft. However, importantly astrocytic <italic>de novo</italic> glutamate synthesis for neurotransmitter pool maintenance is dependent upon the enzyme pyruvate carboxylase (PC) and has been used as a specific marker of astrocytes. PC shuttling of glucose-derived pyruvate into the TCA for glutamate synthesis is subsequently converted to glutamine through GS.</p>
<p>An unmistakable metabolic adaptation drawn from glioma studies including GBM is an &#x2018;addiction&#x2019; to glutamine for survival and growth, particularly in hostile conditions. <italic>In vitro</italic> experiments by Wise et&#xa0;al. using the paediatric GBM cell line SF188 revealed glutamine growth dependence, such that removal of glutamine from the culture medium inhibited cell survival despite the presence of glucose (<xref ref-type="bibr" rid="B99">99</xref>). This finding is well established for other cells including cancer with many early studies reporting cell survival in glutamine and nucleoside supplemented culture media in the absence of any sugar (<xref ref-type="bibr" rid="B100">100</xref>&#x2013;<xref ref-type="bibr" rid="B102">102</xref>). Furthermore, inhibition of the established oncogenic drivers of glucose addiction PI3K and Akt by Wise et&#xa0;al. showed no effect on glutaminolysis mediation, precipitating the finding that elevated <italic>MYC</italic> expression resulted in upregulation of glutamine dependence genes (<xref ref-type="bibr" rid="B99">99</xref>). Myc was shown to stimulate increased <italic>SLC1A5</italic> (ASCT2) transcription for higher rates of uptake and glutamine mediated TCA anaplerosis, essential for the replenishment of precursors for growth limiting macromolecule synthesis (<xref ref-type="bibr" rid="B99">99</xref>). This data implied the possibility that anaplerotic nutrient use was driven by discrete oncogenic systems. Other studies to further analyse high <italic>MYC</italic> expression and nutrient dependence in a range of human cell lines including human lung fibroblasts and human lymphoblastoid cells have found that Myc dependent miR-23a and miR-23b transcriptional repression upregulates GLS expression as well as sensitising cells to apoptosis during glutamine deprivation (<xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B104">104</xref>). </p>
</sec>
<sec id="s5_3">
<title>Anaplerotic Balancing</title>
<p>Besides studies implicating glutamine as an extremely important molecule for TCA anaplerosis and cell survival, it is important to recognise that a balance exists between glucose, glutamine, and other cellular respiratory substrates. As mentioned for astrocytic systems, glucose can be catabolised to pyruvate and diverted away from PDH mediated entrance into the TCA, instead being carboxylated to oxaloacetate by PC. Nonetheless, observations consistent with the Warburg effect have rarely implicated glucose as the predominant precursor for neoplasm anaplerosis, supported by findings from metabolic flux experiments in well established &#x201c;glutamine addicted&#x201d; SF188 paediatric GBM cells with negligible PC activity (<xref ref-type="bibr" rid="B91">91</xref>). In fact, <italic>in vitro</italic> SF188 metabolic flux analysis has shown near exclusive nutrient favouring, with DeBerardinis et&#xa0;al. stating that cells derive up to 90% of anaplerotic oxaloacetate production from glutamine (<xref ref-type="bibr" rid="B91">91</xref>). Nonetheless, studies in human lung cancer tissue and hepatocellular carcinoma cell lines <italic>in vivo</italic> and <italic>in vitro</italic> respectively have evidenced preferential PC anaplerosis mediation, resulting in different sensitivities to experimental nutrient withdrawal (<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>). As a result, some GBM experimental designs have since focussed on delineating neoplasm anaplerotic carbon source flexibility during nutrient deprivation. This is of clinical importance due to the potential for therapeutic confounding resulting from cellular complementation and survival mechanisms using alternative pathways (<xref ref-type="bibr" rid="B105">105</xref>). Accordingly, further analysis using GLS suppression in SF188 and adult LN229 GBM cell lines by Cheng et&#xa0;al. have since revealed that despite limited growth, cells are able to compensate using other GLS independent amidotransferase-catalysed glutamate generating pathways as well as glucose-derived carbon incorporation into TCA intermediates through PC (<xref ref-type="bibr" rid="B105">105</xref>). The additionally observed upregulation of PC after glutamine deprivation led the group to conclude: &#x201c;PC is dispensable for growth of glutamine-replete glioblastoma cells, but required when glutamine supply is limited&#x2019;&#x2019; (<xref ref-type="bibr" rid="B105">105</xref>).</p>
<p>Further to studies using single cell lines, the use of patient derived primary GBM samples has since been imperative for the delineation of tumoural metabolic heterogeneity. Metabolic analysis of 14 patient GBMs by Oizel et&#xa0;al. revealed phenotypic disparity and clustering as two distinct groups (<xref ref-type="bibr" rid="B107">107</xref>). One group exhibited substrate flexibility including glutamine utilisation for TCA directed nicotinamide adenine dinucleotide (NADH) formation, as well as higher expression of <italic>SLC1A5</italic>, <italic>GLS</italic> and Glutamic-Oxaloacetic Transaminase 1 (<italic>GOT</italic>) (<xref ref-type="bibr" rid="B107">107</xref>). The other exhibited glucose dependency for survival and growth. Substrate removal and substitution experiments revealed that the metabolically flexible phenotype was essential for maintaining cell proliferation when glucose was removed (<xref ref-type="bibr" rid="B107">107</xref>). In addition, the long-term inhibition of glutamine metabolism using the inhibitor, epigallocatechin gallate allowed cells to use glucose mediated TCA flux (<xref ref-type="bibr" rid="B107">107</xref>). Data such as these have been essential for recognising the concurrent existence of cells with different substrate sensitivities within a whole tumour. Later, the group combined metabolic analysis with molecular subtyping data, revealing that cells with higher substrate flexibility and metabolic adaptation potential could be categorised as MES, whilst glucose dependent cells represented one of the other subtypes. Further extension of experiments to the U87 cell line associated with GSC features, conformed to the MES subtype and thus, exhibited glutamine-mediated anaplerotic shuttling (<xref ref-type="bibr" rid="B107">107</xref>). The MES subtype has been heavily implicated for hypoxic survival and represents a subset of GBM (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). These findings correlate with experimental data from Flavahan et&#xa0;al. using patient derived GSCs confirmed by assessing self-renewal, proliferation and expression of stem cell markers to show the association of high GLUT3 expression with GSCs in the PN subtype (<xref ref-type="bibr" rid="B83">83</xref>). However, earlier isotopic analysis studies using <sup>13</sup>C mass spectrometry of isolated GSCs in neurospheres cultured from GBM orthotopic mouse models by Marin-Valencia et&#xa0;al. displayed rapid consumption of glucose for PC mediated anaplerosis and mitochondrial oxidation in addition to <italic>de novo</italic> glutamate production (<xref ref-type="bibr" rid="B108">108</xref>). Corresponding transcription data revealed the low expression of GLS in contrast to PC and GS levels, accessory to the observation that glucose-derived glutamate was used to maintain a large intracellular pool of glutamine, mediated by GS (<xref ref-type="bibr" rid="B108">108</xref>). Corroborating data from other studies have shown that GBM cells with high GS expression showed little to no reliance on extracellular glutamine uptake for growth preservation <italic>via</italic> glutaminolysis, but instead a dependence on <italic>de novo</italic> glutamine synthesis for intracellular pool replenishment (<xref ref-type="bibr" rid="B109">109</xref>). Assumptions based on this data have since exclusively defined GSCs as displaying high GS levels, contrary to data from Oizel at al. in which molecular subtyping is believed to be the more dominant driver of metabolic phenotype, with both GS-positive and GS-negative GSCs described (<xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B109">109</xref>) Molecular subtyping of the GSCs studied by Marian-Valencia et&#xa0;al. would have revealed whether this data correlated with finding by Oizel et&#xa0;al., such that these cells showed subtyping distinct from the MES phenotype.</p>
<p>Nonetheless, combining these study outcomes, a distinction has been made between GBM cells displaying low GS levels as being mainly reliant on glutamine for TCA anaplerosis, with the ability to switch to largely glucose as a main substrate under glutamine repression (<xref ref-type="bibr" rid="B107">107</xref>). In contrast, GBM cells with high GS levels frequently defined as GSCs are believed to rely upon PC-mediated anaplerosis as a major source of glutamate GS mediated glutamine pool replenishment. In this way, these cells show major similarities to untransformed astrocytic systems in which PC and GS activities are required for glucose-derived glutamine pool maintenance, with little reliance on external glutamine uptake for cell proliferation. In studies by Tardito et&#xa0;al. proportionate protein levels were recorded for astrocytes and GS-positive GBM cells (<xref ref-type="bibr" rid="B109">109</xref>). The heavy reliance on <italic>de novo</italic> glutamate production as observed in GSCs with high GS expression, is believed to be an abundant source of nucleotide precursors for sustained purine biosynthesis (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>).</p>
</sec>
<sec id="s5_4">
<title>GSCs as Astrocytic &#x2018;Parasites&#x2019;/Metabolic Adaptability and the TME</title>
<p>Metabolic crosstalk between GBM cells and the stroma in the context of plastic substrate utilisation is essential for transformed cell survival during chaotic TME dynamics. In addition, studies evidencing the ability of subpopulations of tumour cells to adapt during nutrient restriction has led to investigations of cancer-stromal alliances in a range of cancers for survival (<xref ref-type="bibr" rid="B110">110</xref>&#x2013;<xref ref-type="bibr" rid="B112">112</xref>). Tardito et&#xa0;al. reported low kinetic uptake of glutamine from the blood by GS-negative GBM cells and the healthy brain (<xref ref-type="bibr" rid="B109">109</xref>). Since GS-negative GBM cells have shown high glutamine uptake for anaplerotic pathways, orthotopic mouse models of GS-negative GBM revealed that other GS expressing tumour cells as well as astrocytes were a major source of the amino acid. Moreover, co-culture of astrocytes and GS negative LN18 GBM cells revealed growth sustenance based on astrocytic glutamine production in the absence of media supplementation (<xref ref-type="bibr" rid="B109">109</xref>). This data shows that subject to transformation, glutamine excreted into the TME for endogenous neuronal transmission, can instead support the growth of malignant cells that require a supply of metabolic nutrients. Furthermore, Kallenberg et&#xa0;al.&#x2019;s magnetic resonance spectroscopy data illustrated a higher concentration of glutamine in the hemispheres of GBM patients relative to healthy controls, reported as a marker for early tumour infiltration (<xref ref-type="bibr" rid="B113">113</xref>). In addition, cross section staining for astrocytes and GS level of human derived GBM xenografts display a symbiotic positioning of astrocytes surrounding GS-negative GBM cells (<xref ref-type="bibr" rid="B109">109</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Clinical Relevance &#x2013; Metabolic Targeting</title>
<sec id="s6_1">
<title>Glycolysis Inhibition &#x2013; Targeting the Warburg Phenotype</title>
<p>The widespread acceptance of the Warburg effect as well as experimental evidence supporting this metabolic shift in GBM tumours has been instrumental for the emergence of glycolytic targeting strategies. Glucose uptake inhibition has been dominated by the use of GLUT1 antagonists such as indinavir and ritonavir, shown <italic>in vitro</italic> to reduce GBM cell proliferation including in GSC cell lines (<xref ref-type="bibr" rid="B114">114</xref>). However, despite the synergistic effect of ritonavir when combined with chemotherapeutics <italic>in vitro</italic>, both compounds are unable to effectively cross the blood brain barrier (BBB), and therefore not able to reach effective concentrations in the brain (<xref ref-type="bibr" rid="B114">114</xref>). Alternatives have included compounds such as 2-fluoro-6-(<italic>m</italic>-hydroxybenzoyloxy) phenyl&#xa0;<italic>m</italic>-hydroxybenzoate (WZB117), displaying successful <italic>in vitro</italic> inhibition of GSC self-renewal ability (<xref ref-type="bibr" rid="B115">115</xref>). However, despite the beneficial effects observed for the inhibition of this transporter, the robustness of the targeting strategy has been challenged due to widespread GLUT1 expression in the human brain and therefore potential for off target effects (<xref ref-type="bibr" rid="B116">116</xref>). Consequently, GLUT3 has since emerged as a more promising target with protein expression analysis by Flavahan et&#xa0;al. showing elevated levels of the transporter in GSCs (<xref ref-type="bibr" rid="B83">83</xref>). Moreover, studies by Cosset et&#xa0;al. have interrogated GLUT3 expression further, showing that targeting with therapeutics may specifically inhibit classical/proneural cells within GBM tumours (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>Other glycolytic inhibition strategies have included the suppression of HK2 with antifungals, as well as use of the glucose analogue 2-deoxy-D-glucose (2-DG) for competitive inhibition of cellular glucose uptake, and overall reduction in glycolysis (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B119">119</xref>). The depletion in ATP production resulting from 2-DG treatment has been shown to promote cellular endoplasmic reticulum (ER) stress, followed by the unfolded protein response (UPR), similarly observed as an effect post radiotherapy (<xref ref-type="bibr" rid="B119">119</xref>). It is believed that GSCs have a greater ability to escape this stress with superior autophagic pathway promotion and reestablishment of ER homeostasis (<xref ref-type="bibr" rid="B120">120</xref>). Therefore, currently, there are efforts to promote tumour apoptosis by preventing autophagic and UPR mediated ER homeostasis reestablishment, with some groups finding that blocking ER stress altogether and the downstream protective mechanisms could enhance the cytotoxic effects of small therapeutic compounds such as shikonin (<xref ref-type="bibr" rid="B121">121</xref>). An increasingly established downstream effector of the UPR is 78-kDa glucose-regulated protein (GRP78) -&#xa0;a member of the heat shock protein family, instrumental for downstream activation of ER homeostasis regulators as well as observed cell surface translocation, characteristic of invasive cancers (<xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B122">122</xref>). Whilst the translocation of GRP78 from the ER to the cell surface is not well understood, it is believed that GRP78 may also regulate cellular interactions with the surrounding TME (<xref ref-type="bibr" rid="B123">123</xref>).</p>
</sec>
<sec id="s6_2">
<title>The Ketogenic Diet</title>
<p>Further to treatment strategies requiring administration of small molecule inhibitors, the modification of patient dietary nutrient intake has become a potentially effective approach for diverting tumour metabolism, such as short-term starvation shown by <italic>in&#xa0;vitro</italic> colon cancer studies for apoptosis induction (<xref ref-type="bibr" rid="B124">124</xref>). The dietary reduction of serum glucose concentrations involves restricting carbohydrate consumption, traditionally implemented by following a 4:1 fat to protein and carbohydrate ratio (commercially available as KetoCal<sup>&#xae;</sup>) that is well tolerated in patient studies for targeting GBM energy metabolism (<xref ref-type="bibr" rid="B125">125</xref>&#x2013;<xref ref-type="bibr" rid="B127">127</xref>). As a result, multiple clinical trials are either complete or ongoing evaluating the safety/tolerance and effectiveness of the ketogenic diet (KD) as an adjuvant to current treatment in GBM: NCT01865162, NCT023939378, NCT04691960, NCT02302235, NCT00575146, NCT03451799, NCT01754350, NCT03075514, NCT03278249, NCT01535911, NCT04730869, NCT02286167. This dietary limitation forces the liver to metabolically adapt, using fats to produce ketone bodies which can be used as an alternative fuel source for cellular energy metabolism; originally pioneered for the beneficial reduction in seizures in epileptic children (<xref ref-type="bibr" rid="B128">128</xref>). Furthermore, Otto Warburg&#x2019;s description of tumoural exploitation of aerobic glycolysis provided initial rationale for the approach in GBM, suggested as an effective strategy to slow tumour growth and reduce ability of cells to exhibit a Warburg phenotype (<xref ref-type="bibr" rid="B129">129</xref>). As such, the efficacy of this treatment has been shown by Abdelwahab et al&#x2019;s. use of a bioluminescent mouse model of malignant glioma to confer increased survival (<xref ref-type="bibr" rid="B127">127</xref>). Moreover, the retrospective statistical analysis of patient data suggests that postoperative hyperglycaemia is associated with poor survival; an effect that could be suppressed by lowering glucose levels during treatment (<xref ref-type="bibr" rid="B130">130</xref>&#x2013;<xref ref-type="bibr" rid="B132">132</xref>).</p>
<p>Despite studies demonstrating efficacy of the KD for increased GBM survival, Sperry et&#xa0;al. have explored GBM intratumoural heterogeneity to reveal that populations of tumour cells could in fact thrive using ketone bodies and upregulated fatty acid oxidation for survival, therefore mitigating the effectiveness of the KD (<xref ref-type="bibr" rid="B133">133</xref>). However, the authors highlight that the KD in combination with additional metabolic inhibition of enzymes such as carnitine palmitoyltransferase 1A (CPT1A) &#x2013; the rate-limiting enzyme for fatty acid oxidation, or implementation of additional calorie restriction to exacerbate the effect of serum glucose reduction could increase the efficacy of the KD, as evidenced by Shelton et&#xa0;al. in GBM (<xref ref-type="bibr" rid="B133">133</xref>, <xref ref-type="bibr" rid="B134">134</xref>). Tumour survival <italic>via</italic> the exploitation of pathways that circumvent low glucose concentrations such as glutaminolysis have also become a concern for implementation of the KD as an effective treatment (<xref ref-type="bibr" rid="B135">135</xref>). Moreover, despite the maintenance of low glutamine levels in the healthy brain <italic>via</italic> the glutamine-glutamate cycle, studies by Takano et&#xa0;al. have shown that glioma glutamate secretion into the surrounding brain could be readily recycled by tumours for sustained energy metabolism and growth (<xref ref-type="bibr" rid="B95">95</xref>). Therefore, strategies implementing the calorie restricted KD in combination with&#xa0;6-diazo-5-oxo-L-norleucine (DON) &#x2013; a gluatminolysis antagonist has been tested <italic>in vivo</italic> GBM mouse models by Mukherjee et&#xa0;al. conferring increased survival and tumour cell apoptosis (<xref ref-type="bibr" rid="B135">135</xref>).</p>
<p>Besides a reduction in glycolytic flux resulting from the KD, other downstream cellular responses have been investigated by Ji&#xa0;et&#xa0;al. using GSCs derived from both patients and cell lines (<xref ref-type="bibr" rid="B136">136</xref>). Culture medium high in &#x3b2;-hydroxybutyrate for mimicking the effects of the KD resulted in reduced GSC proliferation and tumorigenicity as well as revealing the possibility for the induction of damaging morphological and functional mitochondrial alterations (<xref ref-type="bibr" rid="B136">136</xref>). In addition, studies by Seyfried et&#xa0;al. using <italic>in vivo</italic> astrocytoma models exposed to restricted standard and KDs showed alterations in metabolic modulators such as a reduction of IGF-I (<xref ref-type="bibr" rid="B137">137</xref>). Both IGF-I, the IGF1 receptor (IGF-1R) and associated signalling network have been linked with tumour survival in a range of cancers, with experimental data showing the presence of the receptor providing protection from apoptosis following cytotoxic treatment (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>). Moreover, the IGFR1 exhibits elevated expression in GBM cells when compared with normal brain cells and is therefore believed to be a marker of reduced patient survival and inhibition of tumour cell apoptosis (<xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B141">141</xref>). In fact, Zhang et&#xa0;al. carried out <italic>in vitro</italic> culture studies comparing control U87 GBM cells to those overexpressing the IGF-R1, revealing that in response to hydrogen peroxide exposure, the cells with higher IGF-R1 could inhibit apoptosis. In addition, increasing concentrations of IGF1 or overexpression of the IGF-1R resulted in Akt phosphorylation, believed to increase PI3K/Akt pathway activation and subsequent apoptosis suppression (<xref ref-type="bibr" rid="B140">140</xref>).</p>
</sec>
<sec id="s6_3">
<title>Peroxisome Proliferator-Activated Receptors and Differentiation Induction</title>
<p>The 2010 retrospective review of high-grade glioma patients by Grommes et&#xa0;al. exposed that diabetic patients receiving treatment with PPAR&#x3b3; agonists (Thiazolidinediones) had a median survival increase of 13 months in comparison to those not taking this medication (<xref ref-type="bibr" rid="B142">142</xref>). Despite analysis of the data defining this result as not significant due to small sample size, expression data showing elevated levels of PPAR&#x3b3; in malignancies such as colon, duodenal, lung, prostate, thyroid, primary and metastatic breast cancer has provoked an increased interest in the clinical relevance of this receptor family, of which there are 3 mammalian members: PPAR&#x3b1;, PPAR&#x3b2;/&#x3b4; and PPAR&#x3b3; (<xref ref-type="bibr" rid="B143">143</xref>&#x2013;<xref ref-type="bibr" rid="B148">148</xref>). The PPARs are part of the nuclear receptor superfamily and function as ligand-inducible transcription factors which under normal conditions bind dietary fats as well as regulating both adipocyte and macrophage biology (<xref ref-type="bibr" rid="B149">149</xref>).</p>
<p>PPAR agonists have therefore gained traction with studies by Keshamouni et&#xa0;al. demonstrated that treatment of non-small cell lung cancer (NSCLC) patient tumours with the PPAR&#x3b3; ligand troglitazone conferred anti-proliferative effects due to G0/G1 cell cycle arrest and reduction in cyclin D/E expression (<xref ref-type="bibr" rid="B145">145</xref>). The same cell cycle arrest has also been recorded in GBM tissue samples using the PPAR&#x3b3; ligand pioglitazone by Zang et&#xa0;al., with other research groups showing that this ligand could additionally stimulate &#x3b2;-catenin mediated apoptosis of GBM cell lines (<xref ref-type="bibr" rid="B150">150</xref>, <xref ref-type="bibr" rid="B151">151</xref>). Interestingly, Chearwae and Bright (<xref ref-type="bibr" rid="B152">152</xref>) treated neurospheres generated from commercial GBM cell lines with the PPAR&#x3b3; agonists 15-deoxy-&#x394;<sup>12,14</sup>-prostaglandin J<sub>2</sub>&#xa0;(15d-PGJ2)&#xa0;or all-<italic>trans</italic>&#xa0;retinoic acid to induce apoptosis and inhibit neurosphere formation and expansion through Tyk2-Stat3 inhibition (<xref ref-type="bibr" rid="B152">152</xref>). The notion that these ligands exert effects though the Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway has been complemented by studies by Mo et&#xa0;al. using PPAR&#x3b3; ligands in mouse embryonic stem cells (<xref ref-type="bibr" rid="B153">153</xref>). Since STAT3 is crucial for the self-renewal of GSCs, the potential downstream inhibition of this pathway could be important for sensitisation to chemotherapeutics such as temozolomide (TMZ), as shown by Villalva et&#xa0;al. (<xref ref-type="bibr" rid="B154">154</xref>).</p>
<p>Further to the delineation of different populations of GBM cells with distinct cycling kinetics by Hoang-Minh et&#xa0;al., enhanced cytotoxic resistance of slow-cycling populations have been described by studies performed in colon and breast tumour cells by Moore et&#xa0;al. despite being successful against the more proliferative tumour bulk (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B155">155</xref>). Therefore, the induction of differentiation in stem populations has become a promising therapeutic strategy for cellular sensitisation to standard chemo and radiotherapy for GBM (Stupp protocol) (<xref ref-type="bibr" rid="B4">4</xref>). Pestereva et&#xa0;al. used imatinib to inhibit the PDGFR and stem cell factor receptor (c-Kit), with encouraging reductions of stem cells markers and tumorigenicity of tissue derived GSCs (<xref ref-type="bibr" rid="B156">156</xref>). There is also promise that PPAR&#x3b3; agonists could be useful for inducing differentiation of GSCs within tumours due to indications that ciglitazone and 15d-PGJ2&#xa0;caused altered expression of stemness genes such as <italic>SOX2</italic> and <italic>NANOG</italic> (<xref ref-type="bibr" rid="B157">157</xref>). This was again tested in mouse derived NSCs cultured as neurospheres by Kanakasabai et&#xa0;al. with stem cell gene expression analysis before and after treatment with iglitazone or 15d-PGJ2&#xa0;revealing a downregulation of stem and differentiation associated genes (<xref ref-type="bibr" rid="B158">158</xref>). However, despite the potential benefits of this approach, studies by Caren et&#xa0;al. have highlighted the importance of ensuring terminal GSC differentiation in a stable manner, due to the variable responses of cells to bone morphogenic protein (BMP) therapies. Therefore, studies are required to investigate the mechanisms used by cells to evade patterns of commitment, making them vulnerable to dedifferentiation (<xref ref-type="bibr" rid="B159">159</xref>).</p>
<p>In addition to the potential beneficial effect of PPAR&#x3b3; agonists on GBM, the elevated expression of PPAR&#x3b1; recorded in GBM tissue by Haynes et&#xa0;al. has been complemented by data demonstrating tumour growth suppression following the use of agonists such as gemfibrozil (<xref ref-type="bibr" rid="B160">160</xref>, <xref ref-type="bibr" rid="B161">161</xref>). This beneficial effect has also been observed in NSCLC cells, where induction of PPAR&#x3b1; inhibited growth and angiogenesis, as well as leading to apoptosis in ovarian cancer cells when combined with PPAR&#x3b3; induction (<xref ref-type="bibr" rid="B162">162</xref>, <xref ref-type="bibr" rid="B163">163</xref>). However, a compelling aspect of PPAR&#x3b1; is that it is imperative for ketogenesis due to transcriptionally regulating 3-hydroxy-3-methylglutaryl-CoA (HMGCS) &#x2013; the rate-limiting enzyme for the conversion of acetyl-CoA to &#x3b2;-hydroxybutyrate and acetoacetate (<xref ref-type="bibr" rid="B164">164</xref>, <xref ref-type="bibr" rid="B165">165</xref>). Therefore, PPAR&#x3b1; can also downregulate IGF/Akt signalling discussed for the KD as well as GLUT1 and 4 receptors, essential for supressing the Warburg phenotype (<xref ref-type="bibr" rid="B166">166</xref>&#x2013;<xref ref-type="bibr" rid="B168">168</xref>).</p>
</sec>
<sec id="s6_4">
<title>Mitochondrial Targeting</title>
<p>Further to studies revealing that GBMs undergo glucose oxidation, the discovery of mitochondrial aberrations including electron transport chain (ETC) components and mitochondrial reserve capacity have provided insight into additional GBM survival mechanisms (<xref ref-type="bibr" rid="B169">169</xref>). Mitochondrial DNA (mtDNA) profiling has revealed mutations in complex I, III and IV of the ETC, affecting the balance between OXPHOS and aerobic glycolysis (<xref ref-type="bibr" rid="B170">170</xref>, <xref ref-type="bibr" rid="B171">171</xref>). GBM patient tumour tissue analysis by Lloyd et&#xa0;al. revealed that at least one mitochondrial DNA (mtDNA) mutation is present in 43% of patients (<xref ref-type="bibr" rid="B171">171</xref>). Further to this, large scale mtDNA alterations, ETC remodelling, and enzyme activity modulation has been shown to be critical for TMZ resistance in both cell lines and human GBM specimens, with chemoresistance largely driven by cytochrome C oxidase (COX) (<xref ref-type="bibr" rid="B172">172</xref>). Moreover, subject to research by Oliva et&#xa0;al., COX subunit-IV (COX-IV) was shown mainly to be associated with COX isoform I (COX-IV-I) for cellular nutrient sensing and modulation of energy production in TMZ resistant cells (<xref ref-type="bibr" rid="B172">172</xref>). This finding was later extended to GSCs, with COX-IV-I displaying cooperation with downstream targets to enhance tumorigenicity and self-renewal (<xref ref-type="bibr" rid="B173">173</xref>). Consequently, ETC pharmacological and genomic intervention has been further investigated, with results suggesting TMZ sensitisation following COX-IV-I targeting (<xref ref-type="bibr" rid="B174">174</xref>, <xref ref-type="bibr" rid="B175">175</xref>).</p>
<p>Furthermore, the anti-diabetic biguanide drug, MF, has been analysed as a promising therapeutic strategy for decreasing cancer proliferation and inducing apoptosis subject to nutrient availability. Investigations in colon cancer cells have revealed that MF reversibly inhibits the function of ETC complex I subject to the presence of membrane potential and glucose (<xref ref-type="bibr" rid="B176">176</xref>, <xref ref-type="bibr" rid="B177">177</xref>). Other studies have revealed that in the absence of glucose, MF can induce cellular apoptosis as well as a possible selective effect on CSCs (<xref ref-type="bibr" rid="B177">177</xref>&#x2013;<xref ref-type="bibr" rid="B181">181</xref>). Further to this, phenformin -&#xa0;a MF analogue with elevated potency, was used by Jiang et&#xa0;al. <italic>in vitro</italic> and for <italic>in&#xa0;vivo</italic> tumour mouse models, revealing multiple beneficial effects including a reduction in GSC self-renewal and overall prolonged mouse survival (<xref ref-type="bibr" rid="B182">182</xref>). However, since biguanide use is associated with lactic acidosis induction, combining MF with the inhibition of PDK by dichloroacetate (DCA) by Haugrud et&#xa0;al. conferred a cell survival advantage, both reducing lactate production and inhibition of oxidative metabolism in breast cancer cells (<xref ref-type="bibr" rid="B182">182</xref>, <xref ref-type="bibr" rid="B183">183</xref>). GBM oxidative stress induction has also been described for other compounds such as the anthelmintic drug Ivermectin, similarly shown to induce apoptosis <italic>via</italic> ETC complex I inhibition as well as targeting angiogenesis and the Akt/mTOR pathway in GSC cell lines (<xref ref-type="bibr" rid="B184">184</xref>). Interestingly, this drug also induces apoptosis in human microvascular endothelial cells (HBMEC), thus breaking an important protective and synergistic relationship believed to be critical for GBM niche maintenance (<xref ref-type="bibr" rid="B184">184</xref>).</p>
</sec>
<sec id="s6_5">
<title>Combination Strategies</title>
<p>Further to the identification of isolated metabolic targets, the combination of existing GBM chemoradiation protocols with agonists/antagonists of multiple signalling pathways such as sonic hedgehog (Shh), murine double minute 2 (MDM2), p53, PI3K/mTOR, EGFRvIII, poly(ADP-ribose) polymerase 1 (<italic>PARP1</italic>), cyclin-dependent kinase 4/6 (CDK4/6) have exhibited cytotoxic sensitisation efficacy of GBM models (<xref ref-type="bibr" rid="B185">185</xref>&#x2013;<xref ref-type="bibr" rid="B191">191</xref>). Further experimental combinatorial strategies include the use of impridone compounds for inhibiting both glycolysis and OXPHOS <italic>via</italic> Akt/ERK dual inhibition, c-Myc degradation and apoptosis in GSCs (<xref ref-type="bibr" rid="B192">192</xref>). In addition, Yuan et&#xa0;al. effectively used the glycolytic inhibitor 3-bromo-2-oxopropionate-1-propyl ester (3-BrOP) and the alkylating chemotherapeutic carmustine/BCNU in GSCs that were initially highly glycolytic, causing major ATP depletion and abrogation of DNA repair capacity (<xref ref-type="bibr" rid="B193">193</xref>). Furthermore, the development of the arsenic-based mitochondrial toxin, 4-(N-(S-penicillaminylacetyl)amino) phenylarsonous acid (PENAO) by Shen et&#xa0;al. to trigger mitochondrial apoptosis had better efficacy when used with DCA for dual targeting of glucose metabolism (<xref ref-type="bibr" rid="B194">194</xref>). Other combinations of drugs undergoing clinical development for GBM have also been tested with existing compounds such as Navitoclax/ABT-263 (a Bcl-2/Bcl-xL inhibitor) with encouraging <italic>in vivo</italic> low toxicity and suppression of tumour growth (<xref ref-type="bibr" rid="B195">195</xref>). Moreover, studies using chemotherapeutics with both MF and phenformin have shown beneficial effects tumour growth inhibition, with Jiang et&#xa0;al. using phenformin and TMZ <italic>in vivo</italic> for prolonged mouse survival (<xref ref-type="bibr" rid="B182">182</xref>).</p>
<p>However, the epidemiological identification of existing drugs with anti-tumour effects is not restricted to the biguanides, many repurposed compounds are currently under scrutiny in clinical trials in combination with existing chemoradiation protocols (see <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Moreover, clinical trials to test the coordinated blocking of multiple different cell survival pathways has become an attractive strategy, with efforts to use multiple repurposed compounds that will work synergistically for the greatest therapeutic benefit. In 2016, the CUSP9v3 trial (identifier: NCT027703780) started, combining TMZ with Aprepitant, Minocycline, Disulfiram, Celecoxib,&#xa0;Sertraline, Captopril, Itraconazole, Ritonavir and Auranofin in additive treatment cycles for the treatment of recurrent GBM cases; a strategy originally proposed in 2013 by Kast et&#xa0;al. (<xref ref-type="bibr" rid="B216">216</xref>, <xref ref-type="bibr" rid="B217">217</xref>). Although the results have not been released at the time of writing this review, experimental studies to test the robustness of the CUSP9 strategy have been published, including Skaga et&#xa0;al.&#x2019;s investigations using 15 GSC cultures, derived from 15 patient GBMs including relapsed tumours (<xref ref-type="bibr" rid="B18">18</xref>). The group found that the combination of drugs was significantly more effective than when used alone, as well as increasing the therapeutic benefit of TMZ for sphere eradication in most of the cell lines, with the highest resistance in a proneural population (<xref ref-type="bibr" rid="B18">18</xref>). In addition to testing compound efficacy with conventional therapy, it has come to light that patient tumour profiling prior to therapeutic application may give a greater therapeutic benefit. Recently, the antiproliferative effects of four different compounds: MF, dichloroacetate (DCA), sodium oxamate (SOD) and diazo-5-oxo-L-norleucine (DON) were tested on 4 GSC subpopulations with different initial oxidative/glycolytic metabolism tendencies&#xa0;by Duraj et&#xa0;al. (<xref ref-type="bibr" rid="B88">88</xref>). The group found that GSC inhibitor sensitivity differed relative to Warburg-like/OXPHOS phenotype, and Seahorse XF to determine glycolytic/mitochondrial ATP production shifts following treatment. The authors suggest that predictive metabolic shifts despite initial bioenergetic plasticity following treatment, could be used as &#x201c;metabolic priming&#x201d; (<xref ref-type="bibr" rid="B88">88</xref>). In this way, the malignant cells could be pushed towards exhibiting a phenotype with enhanced sensitivity to subsequent small molecular inhibitors, chemo- or radiotherapy.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Repurposed drugs currently in clinical trials for the assessment of efficacy against GBM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Repurposed drug</th>
<th valign="top" align="center">Mechanism of action</th>
<th valign="top" align="center">Indication of therapeutic benefit for GSCs</th>
<th valign="top" align="center">References</th>
<th valign="top" align="center">Trial identifier</th>
<th valign="top" align="center">Therapeutic combination</th>
<th valign="top" align="center">Tumour inclusion criteria</th>
<th valign="top" align="center">Reported results</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Metformin (antidiabetic)</td>
<td valign="top" align="left">-&#x2193; mitochondrial ATP production, &#x2193; oxygen consumption, &#x2191; lactate and glycolytic ATP production<break/>-&#x2191;AMPK, &#x2193; STAT3 &amp; Akt/PKB<break/>-&#x2193; SOX2 expression in TMZ-resistant glioma cells. (yang)<break/>-mTOR pathway inhibition<break/>-Inhibition of complex I of the ETC.<break/>-&#x2193; superoxide dismutase (SOD) activity<break/>&#x2191; caspase 3 activity.</td>
<td valign="top" align="left">-Inhibition of STAT3 phosphorylation<break/>-&#x2193; neurosphere formation.<break/>-&#x2193; proliferation <italic>via</italic> chloride intracellular channel-1 (CLIC1) inhibition. G1 arrest.<break/>&#x2191;AMPK, &#x2191;FOXO3 &#x2013; promotion of differentiation.</td>
<td valign="top" align="left">Leidgens et&#xa0;al. (<xref ref-type="bibr" rid="B196">196</xref>); Yang et&#xa0;al. (<xref ref-type="bibr" rid="B197">197</xref>); Gritti et&#xa0;al. (<xref ref-type="bibr" rid="B198">198</xref>); Owen et&#xa0;al. (<xref ref-type="bibr" rid="B199">199</xref>); Xiong et&#xa0;al. (<xref ref-type="bibr" rid="B200">200</xref>); Sato et&#xa0;al. (<xref ref-type="bibr" rid="B201">201</xref>)</td>
<td valign="top" align="left"> NCT02780024</td>
<td valign="top" align="left">Metformin + radiation + TMZ.</td>
<td valign="top" align="left">Newly diagnosed GBM.</td>
<td valign="top" align="left">Estimated completion date December 2021.</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT03243851</td>
<td valign="top" align="left">Metformin + low dose TMZ.</td>
<td valign="top" align="left">Progressive or recurrent Glioblastoma.</td>
<td valign="top" align="left">No published results.</td>
</tr>
<tr>
<td valign="top" align="left">Chloroquine (antimalarial)</td>
<td valign="top" align="left">-Inhibition of autophagy.<break/>-Induction of p53-dependent apoptosis.<break/>Experimental indication of mitochondrial cristae damage and DNA break repair prevention (triple negative breast cancer stem cells).</td>
<td valign="top" align="left">-Inhibition of the PI3K/Akt pathway for sensitisation to radiation-induced apoptosis.<break/>-Inhibition of autophagy and promotion of apoptosis.<break/>-&#x2191; radio sensitisation.<break/>Induction of p63-dependent G1 arrest.</td>
<td valign="top" align="left">Firat et&#xa0;al. (<xref ref-type="bibr" rid="B202">202</xref>); Kim et&#xa0;al. (<xref ref-type="bibr" rid="B203">203</xref>); Lee et&#xa0;al. (<xref ref-type="bibr" rid="B204">204</xref>); Ye et&#xa0;al. (<xref ref-type="bibr" rid="B205">205</xref>); Liang et&#xa0;al. (<xref ref-type="bibr" rid="B206">206</xref>)</td>
<td valign="top" align="left"> NCT00224978</td>
<td valign="top" align="left">Chloroquine + conventional chemotherapy: caumustine and radiotherapy.</td>
<td valign="top" align="left">Tumour restricted to one brain hemisphere. First or second recurrence or relapse.</td>
<td valign="top" align="left">Median survival after surgery = 24 months for chloroquine-treated patients &amp; 11 months for controls.</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT02432417</td>
<td valign="top" align="left">Chloroquine + chemoradiation</td>
<td valign="top" align="left">
<italic>de novo</italic> GBM.</td>
<td valign="top" align="left">N/A. Estimated completion date January 2024.</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT02378532</td>
<td valign="top" align="left">Chloroquine + radiation +TMZ.</td>
<td valign="top" align="left">Newly diagnosed GBM, histopathological conformation of MGMT and EGFRvIII status.</td>
<td valign="top" align="left">44 adverse events recorded possibly/likely due to chloroquine including seizure and vomiting. Median overall survival = 8.1 months (EGFRvIII negative) &amp; 13.4 months (EGFRvIII positive. 7 patients alive a median 9 month follow up. Maximum tolerated dose was established as 200mg daily chloroquine combined with RT and concurrent TMZ for newly diagnosed GBM.</td>
</tr>
<tr>
<td valign="top" align="left">Mefloquine (antimalarial)</td>
<td valign="top" align="left">Proposed cytotoxicity by inhibition of autophagy in glioma cells.</td>
<td valign="top" align="left"/>
<td valign="top" align="left">Golden et&#xa0;al. (<xref ref-type="bibr" rid="B207">207</xref>)</td>
<td valign="top" align="left"> NCT01430351</td>
<td valign="top" align="left">Mefloquine + TMZ (arm 2 of study)<break/>+ metformin (arm 6)<break/>+ memantine (arm 4)<break/>+ metformin &amp; memantine (arm 7).</td>
<td valign="top" align="left">Histologically proven supratentorial glioblastoma.</td>
<td valign="top" align="left">Mefloquine induction of Abnormal ECG (2 patients) &amp; QTc interval prolongation (1 patient). Possible induction of grade 1 sinus bradycardia (1 patient). Established final mefloquine dose - 250 mg 3 times weekly.</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Median OS = 21 months (95% CI, 16.2&#x2010;29.7 months), 2&#x2010;year survival rate = 43% (95% CI, 34%&#x2010;56%).</td>
</tr>
<tr>
<td valign="top" align="left">Atorvastatin (statin)</td>
<td valign="top" align="left">-Mevalonate pathway inhibition (leukaemia).<break/>-Inhibition of protein prenylation <italic>via</italic> upstream HMG-CoA reductase inhibition.<break/>-Suppression of Ras and downstream signalling pathways including Erk enhancement of TMZ efficacy.</td>
<td valign="top" align="left">-Apoptotic induction, &#x2193; migration and invasion of spheroids (U87).</td>
<td valign="top" align="left">Bayat et&#xa0;al. (<xref ref-type="bibr" rid="B208">208</xref>); Peng et&#xa0;al. (<xref ref-type="bibr" rid="B209">209</xref>)</td>
<td valign="top" align="left"> NCT02029573</td>
<td valign="top" align="left">Atorvastatin + TMZ + radiation.</td>
<td valign="top" align="left">Histologically proven newly diagnosed GBM malignant GBM or variants. No prior chemotherapy or radiotherapy.</td>
<td valign="top" align="left">Interim analysis reported treatment safety, PFS-6 rate was 67% with median 9.1 months PFS. No published results from completed trial.</td>
</tr>
<tr>
<td valign="top" align="left">Celecoxib (NSAID)</td>
<td valign="top" align="left">-P53 dependent Induction of DNA damage and inhibition of DNA synthesis.<break/>Indications of G1 cell cycle arrest and autophagy.</td>
<td valign="top" align="left">-Regulation of chemokine axes (CCL2/CCR2 and CXCL10/CXCR3). Decrease of mRNA expression to viability of GSCs.<break/>-&#x2193; of PD-L1 <italic>via</italic> FKBP5.</td>
<td valign="top" align="left">Kang et&#xa0;al. (<xref ref-type="bibr" rid="B210">210</xref>); Shono et&#xa0;al. (<xref ref-type="bibr" rid="B211">211</xref>); Yamaguchi et&#xa0;al. (<xref ref-type="bibr" rid="B212">212</xref>)</td>
<td valign="top" align="left"> NCT00112502</td>
<td valign="top" align="left">Randomisation of 8 treatment arms. Combination of TMZ + thalidomide and/or celecoxib.</td>
<td valign="top" align="left">Histologically confirmed supratentorial GBM. Must have undergone biopsy, subtotal, or gross total tumour resection. Must have undergone radiotherapy within 5 weeks prior.</td>
<td valign="top" align="left">PFS for treatment arms combined was 11.6 months. Overall, 6-month PFS rate = 73%. Arms containing celecoxib showed a median PFS of 8.3 months compared with 7.4.</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left"> NCT00068770</td>
<td valign="top" align="left">Two treatment arms:<break/>1.p450 inhibitor + celecoxib + radiotherapy.<break/>2.No p450 inhibitor + Celecoxib + radiotherapy.</td>
<td valign="top" align="left">Histologically confirmed GBM. No prior chemotherapy, radiotherapy, endocrine therapy, immunotherapy, or biological agents for malignancy. Recovered from surgery.</td>
<td valign="top" align="left">Study ended early, unethical to continue due to other trial data indicating the therapeutic benefit of including TMZ in treatment plan.</td>
</tr>
<tr>
<td valign="top" align="left">Disulfiram (alcohol addiction)</td>
<td valign="top" align="left">-Inhibition of ALDH.<break/>-Suppression of proteasomal activity.<break/>-&#x2191;ROS, activation of JNK &amp; p38, inhibition of NF-&#x3ba;B in GBM cells.<break/>-Proposed modulation of apoptosis <italic>via</italic> Bcl2 family mediation.<break/>-Inhibition of PLK1 expression.<break/>-Inhibition of MGMT, &#x2191; alkylating DNA damage.</td>
<td valign="top" align="left">-Inhibition of chymotrypsin-like proteasomal activity, elevated effect with copper addition.<break/>-Inhibition of the ubiquitin-proteasome pathway.<break/>-Inhibition of self-renewal.<break/>-Enhancement of TMZ treatment activity in stem-cell like populations of GBM.</td>
<td valign="top" align="left">Hothi et&#xa0;al. (<xref ref-type="bibr" rid="B213">213</xref>); Triscott et&#xa0;al. (<xref ref-type="bibr" rid="B214">214</xref>); Paranjpe et&#xa0;al. (<xref ref-type="bibr" rid="B215">215</xref>)</td>
<td valign="top" align="left"> NCT02678975</td>
<td valign="top" align="left">Disulfiram + copper + chemotherapy.</td>
<td valign="top" align="left">Previous diagnosis of glioblastoma (histologically verified) and presenting with a first progression/recurrence documented by MRI.</td>
<td valign="top" align="left">No published results.</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT01907165</td>
<td valign="top" align="left">Disulfiram + copper + TMZ.</td>
<td valign="top" align="left">Histologically confirmed GBM. Received or in the process of completing definitive radiotherapy with concurrent TMZ.</td>
<td valign="top" align="left">1-year PFS = 57%, &amp; 1-year OS = 69%. No significant difference in PFS/OS according to Disulfiram dose, surgical extent, or MGMT methylation status.<break/>Better PFS &amp; OS in GBMs with IDH1&#xa0;(n = 6),&#xa0;BRAF&#xa0;(n = 2), or&#xa0;NF1&#xa0;(n = 1) mutations than without: 1-year PFS: 100% <italic>vs</italic> 22%, respectively, p = 0.001; 1-year OS: 100% <italic>vs</italic> 42%, respectively, p = 0.006&gt;
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT02715609</td>
<td valign="top" align="left">Preoperative treatment: Disulfiram + copper gluconate.<break/>Post-surgery: standard radiation + TMZ + concurrent Disulfiram/copper gluconate.</td>
<td valign="top" align="left">Dose escalation cohort: Diagnosis of GBM or its histological variants<break/>Dose expansion cohort: diagnosis of GBM (or its histological variants) with IDH, BRAF, or NF1 mutations. Confirmation of these mutations may be either by immunohistochemistry or next generation sequencing.</td>
<td valign="top" align="left">N/A. Estimated completion date December 15, 2023.</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"> NCT03034135</td>
<td valign="top" align="left">Disulfiram/copper gluconate + TMZ, 6-month course.</td>
<td valign="top" align="left">Histologically confirmed GBM, Radiotherapy completed with concurrent TMZ at least 12 weeks prior to start of study treatment. Or pathological verification of recurrent tumour at least 4 weeks after radiotherapy with concurrent TMZ. Exclusion of IDH mutants or secondary GBMs.</td>
<td valign="top" align="left">OOR = 0%, but 14% had clinical benefit. Median PFS = 1.7 months &amp; median OS = 7.1 months. 1patient displayed dose limiting toxicity. Disulfiram concluded to have limited activity and was unable to recapitulate TMZ sensitivity in patients tested.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The potential mechanisms of these inhibitors against GSCs based on experimental studies are also included. The clinical trial identifiers are given as well as any published results from these studies.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s7">
<title>Conclusion</title>
<p>Mechanisms for conferring resistance to current GBM treatments have been described for GSCs including quiescence, slow cell cycling, upregulated expression of drug efflux proteins, enhanced DNA repair capacity, drug resistance and advanced plasticity. Attempting to overcome these molecular blockades has heightened the importance of delineating the metabolic phenotypes that are adopted by these cells; with shifts before, during and after standard treatment believed to be imperative for tumour reestablishment. metabolic inhibition strategies have recently gained traction, requiring a detailed knowledge of the metabolome and adaptability potential of cells following targeted pathway inhibition. However, it&#x2019;s important to highlight that a metabolic treatment regimen designed to solely target GSCs may not improve GBM prognosis. For example, GSC differentiation induction strategies must ensure stable and terminal GSC differentiation as well as coordinated blocking of the reverse process. As highlighted by <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, dedifferentiation of differentiated tumour bulk cells could result in the formation of new GSCs. Therefore, even if complete clearance of the GSC population could be achieved through metabolic targeting, this outcome may only be temporary, highlighting the limitations of this singular approach. In this way, metabolic regimens to target GSCs can be explored as an effective supplement for combinatorial use with current and emerging treatment strategies to ensure complete therapeutic coverage of heterogenic GBM tumours.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>AH was responsible for article structure, figure design and building, drafting the introduction and main body of text. XL, MG, and MCG provided critical revision of the article and figures. CP provided critical revision of the article and figures, joint supervising author. KK was responsible for the article conception, drafting the article abstract and providing critical revision of the article and figures, joint supervising author. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>AH funded by Southmead Hospital Charity, North Bristol Trust Registered Charity No: 1055900. XL is funded by Cancer Research UK (grant number C30758/A2979).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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