Volume 14, Issue 1 pp. 40-51
REVIEW ARTICLE
Free Access

Biomarkers and therapeutic advances in glioblastoma multiforme

Andrew Octavian Sasmita, 

Andrew Octavian Sasmita

Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.

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Ying Pei Wong, 

Ying Pei Wong

Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.

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Anna Pick Kiong Ling, 

Corresponding Author

Anna Pick Kiong Ling

Division of Applied Biomedical Sciences & Biotechnology, School of Health Sciences, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.

Correspondence

Dr. Anna Pick Kiong Ling, Division of Applied Biomedical Sciences and Biotechnology, School of Health Sciences, International Medical University, 126 Jalan Jalil Perkasa 19, Bukit Jalil, 57000 Kuala Lumpur, Malaysia.

Email: [email protected]

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First published: 25 August 2017

Abstract

Glioblastoma multiforme (GBM) is a malignant tumor within the brain. Generally classified as primary and secondary with several different subtypes, ample molecular biomarkers have risen throughout the years which have garnered the attention of researchers. The advancements in genomics and proteomics have allowed researchers to gather prominent molecular biomarkers. All these biomarkers are gathered by means of biopsy or bodily fluid sample collection and are quantitatively analyzed by polymerase chain reaction coupled with other computational technologies. This review highlights the significance, regulation and prevalence of molecular biomarkers such as O6-methylguanine-DNA methyltransferase, epidermal growth factor receptor vIII, isocitrate dehydrogenase mutation and several others which expressed differently in different types and molecular subtypes of GBM. The discoveries and roles of GBM-specific microRNAs including miR-21 and miR-10b as biomarkers with promising prognostic values were also delineated. The role and mechanism of biomarkers in GBM tumorigenesis are essential in the development of therapy for patients suffering from the disease itself. Thus, this review also discusses the mechanisms, effects and limitations of therapy such as temozolomide, viral gene transfer, biomarker-based vaccines or even engineered T cells for more specific responses. Biomarkers have displayed a high value and could eventually be utilized as drug targets. It is hoped that by combining different aspects of the disease which present with different biomarkers could lead to the development of a robust, effective and innovative take on GBM therapy.

1 INTRODUCTION

Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. It arises from the neuroepithelial tissue group of the brain, astrocytoma, which is heterogeneous in nature and belongs to the most dangerous of the great cancer family of astrocytoma – grade IV astrocytoma.1, 2 This type of malignant tumor arises from the glial cells, astrocytes, which serve supporting roles within the nervous system. GBM, much like other cancers, flourishes under the immunosuppressed microenvironment surrounding the tumor3 and often presents with nonspecific signs and symptoms, ranging from headaches to personality changes.4 GBM, also known as grade IV glioma, comprises 50% of total glioma cases and affects males at a higher rate of incidence compared to females.5 GBM is currently divided into two main types, primary and secondary, in which the former comprising most GBM cases worldwide, while the latter are rarer in occurrence. The median survival timeline of GBM is 14–15 months, with a 10% probability of 5 years survival.6 The fact that approximately 50% of all GBM patients are of ages 65 and above shows a distinct correlation between age and the occurrence of the disease. With the advancements in molecular biology and genomics, GBM could also be divided into molecular subtypes, namely classical, mesenchymal, proneural and neural.7

The recurrent nature of GBM garners its resilience and researches done to reduce the risk of recurrence of GBM throughout the years have not yielded significant commercial results. Aside from being recurrent, the tumor cells of GBM take advantage of the brain which has high susceptibility to radiotherapy or other conventional efforts. The blood–brain barrier also remains as one of the determining factors of the efficiency of potential drugs or vaccines.3 Diagnostically, the gold standard for diagnosis of GBM is biopsy and histological observation, which could also distinguish different types of GBM based on its molecular characterization. The standard treatment for GBM patients diagnosed for the first time is tumor resection via surgery followed by radiotherapy and administration of temozolomide (TMZ).8 It remains impossible to cure GBM, which led patients to opt for other treatment options to alleviate GBM symptoms, such as dexamethasone.6 Despite molecular advancements, GBM remains at large and the need to discover highly accurate biomarkers for early diagnosis is ever increasing. The accumulation of huge datasets in the race of finding the most prominent combination to diagnose and distinguish different types of GBM has sparked motivations in the research world. The development of novel immunotherapeutic efforts has yielded several successes, which is a similar trend in the field of gene therapy.9

Clinical Significance

  • Updates of functional and potential biomarkers of GBM. This review highlights the promising biomarkers that have been studied intensively with prognostic, predictive or stratification values.
  • Compilation of recent advances in combating GBM. The dawn of gene therapy and immunotherapy opened up windows to look at treatment approaches other than, or to supplement conventional chemo-radiation therapies.
  • Guiding future researches in elucidation of pathogenesis and potential cure of GBM.

2 TYPES AND MOLECULAR SUBTYPES OF GBM

Primary GBM affects elderly patients at a much higher occurrence and develops de novo without any history of similar diseases of lower grade, often presenting no symptoms before gaining malignancy. Amounting to 90% of total GBM cases worldwide, primary GBM confers a worse prognosis compared to its secondary counterpart. This subset of GBM often shows molecular overexpression and amplification of epidermal growth factor receptor (EGFR), loss of heterozygosity (LOH) 10q, p16INK4A and phosphatase and tensin homolog (PTEN) mutations.2 Secondary GBM makes up 5% of known cases globally and often affects younger patients. Common molecular biomarkers which revolve around the development of secondary GBM include tumor protein 53 (TP53) mutations which are abundant in secondary GBM but not as commonly observed in its primary counterpart.2

Having been indescribable for some years, different subtypes of GBM have been refurbished over the years with advancements in molecular technology, namely classical, mesenchymal, proneural and neural GBM subtypes based on Verhaak classification.7 Apart from Verhaak classification, GBM can also be classified based on Phillips classification,10 which includes proliferative subtype, a subtype of GBM which is enriched with markers of neuronal stem cells (NSCs); and the Jiao classification, which focuses on differences in isocitrate dehydrogenase (IDH) mutations.11 Following these classifications, different major characteristics and molecular connections of each molecular subtype are listed in Figure 1. Generally, the major differences of each type include the EGFR amplification and LOH 10 in classical subtype. Lower level of expression of neurofibromatosis type 1 (NF1) and high expression of chitinase 3 like 1 and MET genes were observed in mesenchymal subtype,10 while altered platelet-derived growth factor alpha receptor (PDGFRA) and mutated IDH1 in proneural subtype were abundant. Finally, TP53 mutation, EGFR amplification and CDKN2A deletion are heavily associated within the neural subtype of GBM.7

Details are in the caption following the image
Molecular biomarkers correlation with different Verhaak subtypes of GBM. Diagram was constructed for this review article based on cumulative information gathered. All subtypes present similar molecular events as hallmark for GBM (e.g. Chromosome 7 amplification with LOH chromosome 10) at varying levels (Verhaak et al., 2010). Other classifications include Phillips (Phillips et al., 2006) and Jiao (Jiao et al., 2012) which focus on different markers and hallmarks of GBM events [Color figure can be viewed at wileyonlinelibrary.com]

The pathogenesis of GBM has been hypothesized to have implications related to the subventricular zone (SVZ).12 A density map of the various subtypes of GBM has been produced in Steed's study which showed the interesting regional occupancies of distinct molecular subtypes of GBM within the brain, aside from its relation to the SVZ. Proneural and neural subtypes were observed to harbor similar genetic profile to NSCs and are in proximity toward the SVZ, while the classical and mesenchymal subtypes tend to aggregate diffusely and further away from the SVZ.12 Another tumor density study with magnetic resonance images which were contrast enhanced showed that classical and mesenchymal GBM were observed to be located further away from the SVZ, while proneural and neural were found to be at proximity toward the SVZ.6 Tumors with contact to the SVZ also showed more rapid progression as compared to non-SVZ tumors (P = 0.003), thus decreasing overall patient survival.13 With relation to their subtypes, aggressive treatment has also been known to prolong survival of patients with classical and mesenchymal subtypes of GBM, but not neural and proneural.7 The evidences show strong correlations to the different pathogenesis of GBM, which may be an implication of tumor location in respect to SVZ based on more distinguished molecular pathways in addition to primary and secondary GBM.

3 MOLECULAR BIOMARKERS OF GLIOBLASTOMA MULTIFORME

The genetic alterations and protein expression profiles in GBM were observed via various computational methods of ample studies, leading to the establishment of a huge database of biomarkers of various classes. The effectiveness of a certain biomarker poses a very tough challenge in biomarker validation. As GBM is a malignant tumor at its maximum capacity, the accuracy of such tests is of utmost importance in correctly diagnosing GBM patients.6 The final goal would eventually be to develop potential remedies for this disease to reverse effects of cancerous growth or suppress the disease progression. In this section, only the major biomarkers studied in the field of GBM such as O6-methylguanine-DNA methyltransferase (MGMT), EGFR, PDGFRA and IDH are further discussed; although other relevant biomarkers such as NF1, VEGF, p16INK4A and many more harbor clinical significance.10 Table 1 given at the end of this section summarizes the highlights of each molecular biomarker.

Table 1. Summary of molecular biomarkers of GBM
Biomarker Source and analysis Significance Regulation and prevalence in GBM Functional relevance Related studies
MGMT
  • Source: Biopsy (nonnecrotic GBM tissue sample only)
  • Analysis: PCR with pyrosequencing and SYBR Green technology
Prognostic and predictive biomarker
  • Upregulated (+)
  • - Unmethylated promoter
  • - 64% in primary GBM; 25% in secondary GBM
Methylated MGMT promoter confers better prognosis upon chemoradiotherapy with TMZ adjuvant
  • Della et al.14
  • Morandi et al.17
  • Kim et al.18
  • Nakamura et al. (2001)
EGFR
  • Source: GBM cancer tissue biopsy
  • Analysis: PCR or transfected cell line study
Prognostic biomarker
  • Upregulated (+)
  • - Mutant form (EGFRvIII) present with amplified wild-type EGFR
  • - In 40–50% cases of GBM, mostly primary and classical GBM
EGFR mutation and amplification remodel landscape of GBM tumor cells via RTK/RAS/PI3K, FOXG1 or SOX9 pathways
  • Yoshimoto et al.23
  • Shinojima et al.24
  • Vogel et al.25
PDGFRA
  • Source: GBM cancer tissue biopsy
  • Analysis: PCR or mRNA in situ hybridization techniques
Prognostic biomarker
  • Upregulated (+)
  • - Mutant gain-of-function form (PDGFRAΔ8,9) present along amplified wild-type PDGFRA
  • - 40% cases in secondary and proneural GBM; 93% PDGFRA mutations occur with IDH mutation
PDGFRA mutation and amplification serve as potential drug target and localize within tumor cells only
  • Brennan et al.31
  • Ozawa et al.32
  • Motomura et al.33
  • Nazarenko et al.34
  • Cenciarelli et al.35
IDH
  • Source: GBM cancer tissue biopsy
  • Analysis: PCR, immunohistochemistry or spectroscopy
Prognostic biomarker
  • Upregulated (+)
  • - Mutation of IDH1 (70.9%) and IDH2 (3.1%) in diffuse gliomas
  • - 85% in secondary GBM; common in proneural subtype
Mutation catalyzes the production of 2-HG, leading to DNA hypermethylation and eventually gliomagenesis
  • Cohen et al.37
  • Turcan et al.40
  • Dang et al.41
  • Yan et al.42
LOH 10q
  • Source: GBM cancer tissue biopsy
  • Analysis: Utilize microsatellites and PCR amplification
Prognostic biomarker
  • Upregulated (+)
  • - 70% of total GBM; more in primary GBM (LOH 10q23)
  • - LOH 10q25ter accurate in diagnosing secondary GBM
  • - GBM subjects of ages >40 have more frequent LOH 10q (84.2%)
Deletion of PTEN, TP53 and NF1 which are tumor suppressor genes
  • Zhao et al.44
  • Kakkar et al.45
  • Hata et al.46
  • Ohgaki and Kleihues47
TP53
  • Source: GBM cancer tissue biopsy
  • Analysis: qRT-PCR
Prognostic biomarker
  • Upregulated (+)
  • - Mutants present in 90% of secondary GBM; 67% in proneural subtype
Regulates MVA pathway to promote tumorigenesis; negatively regulated by MDM2
  • Verhaak et al.7
  • Ohgaki and Kleihues47
  • Laezza et al.49
  • Verreault et al.50
CTC
  • Source: Bodily fluid (e.g. blood)
  • Analysis: Telomerase assay and immunostaining
Prognostic biomarker
  • Upregulated (+)
  • - Over 70% cases of GBM display upregulated CTCs
Distinguishes molecular subtypes and also radionecrosis from tumor progression
  • MacArthur et al.52
  • Muller et al.53
  • Gao et al.54

3.1 O6-methylguanine-DNA methyltransferase

Located in chromosomal position 10q26, the MGMT gene encodes proteins which would be consumed in DNA repair whereby alkyl groups are removed from guanine at its O6.14 MGMT expression is heavily modulated by various transcription factors, including nuclear factor kappa B and specificity protein 1, which would activate MGMT promoter to induce expression of more MGMT.15 The methylation of this gene has been shown in increasing the efficacy of an alkylating agent, TMZ, upon its use with chemoradiotherapy. As highlighted by Hegi and colleagues, MGMT promoter methylation has been known to provide better outcome in patients receiving TMZ, whereby median overall survival of cases with methylation being present is 18.2 months as opposed to the significantly lower 12.2 months of cases without methylation.16 A study reported survival of unmethylated and methylated groups of MGMT-positive GBM patients to show significant differences in overall survival upon TMZ-radiotherapy treatment, being 20 and 36 months, respectively.17 Other studies such as one conducted by Kim et al. showed similar survival results despite utilizing different DNA analysis techniques.18

Epidemiologically, the MGMT promoter methylation occurs more substantially (75%) in secondary GBM as it has been shown to have a strong correlation with TP53 mutation (92%), which is abundant in secondary GBM and only 36% of primary GBM cases.19 Despite the promoter methylation, some patients might exhibit staggeringly ample expression of MGMT mRNA, which led researchers to believe that although the MGMT promoter methylation serves a valuable predictive and prognostic biomarker value, individual differences still exist. The overall combination of low promoter methylation and high mRNA expression of MGMT would eventually lead to the development of TMZ resistance. Studies involving MGMT silencing via methods such as microRNAs (miRNAs) introduction have been proven to produce favorable prognosis through bypassing TMZ resistance, which is a bane in GBM cases.20, 21

There is currently no standard method of determination of MGMT promoter methylation, but it is a general rule that false negatives of the MGMT status could be due to DNA analysis from necrotic GBM tissue samples.14, 22 The most common method in observing the methylation status of MGMT in GBM patients is via nested polymerase chain reaction (PCR) or combinatorial PCR with MS technology, SYBR Green22 or even pyrosequencing in GBM patients.18

3.2 Epidermal growth factor receptor

The amplification of EGFR and the genetic rearrangement of EGFR (EGFRvIII) are common hallmarks of GBM (40–50%), especially in the classical subtype and primary GBM.23 EGFR is encoded by a gene of the same name and codes for a tyrosine kinase receptor specific to certain growth factors. The mutation of EGFR due to histone modifications on its gene enhancer at chromosome 7p12 leads to the formation of EGFRvIII.24 This mutation truncates exons 2 and 7 which leads to the absence of extracellular ligand binding site. These results were obtained from studies of EGFR as biomarkers are traditionally performed using transfected cell lines, and conventional cell lines tend to lose the EGFRvIII mutation or have their EGFR expression dampened to normal levels.25 EGFR mutation and amplification have been classified as prognostic biomarkers as they are abundant in GBM samples.

Due to the proliferative nature of cancer which is mainly controlled by the presence of key growth factors and the abundance of their receptors, EGFR can activate pathways essential for GBM tumor cells to flourish, such as the receptor tyrosine kinase/Ras/phosphoinositide 3-kinase (RTK/RAS/PI3K) pathway.26 The activation of this pathway leads to the decreased integrity of G1 to S checkpoint in the cell cycle, enabling excessive proliferation. Often presenting itself in patients with amplified wild-type EGFR, patients with EGFRvIII mutation show significantly lower survival (0.8 years) as compared to patients without the mutation (1.4 years).24 The abundance of EGFRvIII alongside wild-type EGFR has been showcased in a study which concluded the ability of EGFR to cross-phosphorylate with EGFRvIII upon activation of a specific ligand.27, 28

Commonly present in the classical GBM subtype and primary GBM, the increased production of this genetic product would lead to a worse prognosis in most GBM cases. Despite this, some studies have yielded results which proved otherwise, giving conflicting results by concluding that the nonheterogenous of EGFR present in GBM cases may limit the translational effectiveness of drugs targeting EGFR, including immunotherapy and small molecule inhibitors,29, 30 and thus not conferring significant differences between GBM cases with and without EGFR mutations. One of the proposed mechanisms of tumorigenesis due to EGFR activation (EGFRvIII) is the remodeling of the landscape of GBM tumor cells through activation of pathways such as FOXG1 and SOX9, other than the commonly observed RTK/RAS/PI3K pathway.31

3.3 Platelet-derived growth factor alpha receptor

Much like EGFR, PDGFRA is a receptor for specific growth factors which if overexpressed would lead to abnormal and uncontrolled cellular growth. Gliomas, including GBM, present different PGFR ligand types and various types of receptors discovered, the first ones being PDGFRA and PDGFRB. Presenting alterations within its expression and abundance, PDGFRA serves as a prognostic biomarker of GBM, especially for the proneural subtype.28, 32 PDGFRA gain is almost always present with the presence of IDH mutations (93%) which is coincidentally present at a much higher rate in secondary GBM.33

Based on an mRNA in situ hybridization techniques, PDGFRA has been found to selectively localize its protein structures within the tumor cells, while PDGFRB was mostly found in the vasculature surrounding the tumor cells.34 PDGFR proteins have been known to express themselves as early as low-grade diffuse astrocytoma and are expressed at a highly enhanced rate in high-grade secondary GBM tumors. Based on this early presentation of PDGFRA as biomarker, the overall survival of PDGFRA-positive patients is also the longest, some reaching over 10 years with a median of 8.8 years in total samples studied.33 A study observed a marked reduction of cell proliferation in PDGFRA tumor cells after conductance of RNA interference,35 suggesting that its expression levels could be altered and is a potential drug target (e.g. crenolanib and imatinib).36

3.4 Isocitrate dehydrogenase

IDH is a protein enzyme encoded by the IDH genes in chromosome 2 whose primary function is to catalyze the oxidative decarboxylation process within the Krebs cycle. In contrast to the wild-type enzymatic function, IDH mutants attain an alternative responsibility to catalyze the production of 2-hydroxyglutarate (2-HG), which is an oncometabolite. 2-HG would eventually compete with alpha-ketoglutarate in activating enzymes which support DNA demethylation, yielding a hypermethylation in the tumor cells and eventual tumorigenesis.37 This application of mutant IDH expression has been shown to intercalate itself with methylated MGMT to give a significantly favorable prognosis for GBM patients undergoing TMZ and radiation therapy.38 This also correlates with another study done in vivo and in vitro, whereby Western blot analysis yielded overexpression of wild-type IDH which does not affect the cell cycle, but resulted in more chemotherapy resistance, forming a link between the two.39 Wang's study also presented possible mechanisms of IDH mutation, IDHR132H, which led to cell cycle arrest and reduced proliferation of GBM samples.

Posing a strong correlation with PDGFRA alterations aside from MGMT, IDH1 and IDH2 mutations are heterozygous and the distinguishing factor between the two mutations is the codons where the mutations are; codon R132 for IDH1 mutation and codon R172 for IDH2 mutation.37 IDH mutations are commonly found in the proneural subtype of GBM and 85% of secondary GBM, while only present in 7% of primary GBM.40, 41 Due to it being prominent in secondary GBM, it is thought that the IDH mutations have a significant role in gliomagenesis. Within a study of 1010 individuals with diffuse gliomas, 70.9% possess the IDH1 mutation, while only 3.1% possess IDH2 mutation.42 Detection of such biomarker is available via immunohistochemistry or even spectroscopy. The major limitation of utilizing this biomarker is determining the fate of IDH mutation in progression of diffuse gliomas. Aside from acting on its own, the mutated IDH1 would cause eventual mutations in other genes, including the ATM gene and mTOR gene, the latter being a kinase closely associated with the GBM pathogenesis.40

3.5 Loss of heterozygosity of chromosome 10

LOH is commonly occurring in malignant tumor cells, which mostly affects the tumor suppressor genes and subsequently leading to decreased protection of bodily systems toward tumorigenesis.43 The analysis of LOH in GBM patients is done using microsatellites and lastly, PCR to amplify the gene products.

Within GBM, many chromosomes are affected with LOH, namely 9p, 10, 17p, 19q and 22, while LOH 1p and LOH 19q are molecular predictors of oligodendrocyte neoplasms that provide no prognostic or predictive significance in GBM biomarkers.44 LOH 10q (more specifically LOH 10q23) is the common hallmark of all GBM, having presented in 70% of total GBM cases, although mostly in primary GBM. An age correlation has also been made toward LOH 10q, whereby GBM subjects of ages 40 and above showcased a much more frequent LOH 10q (84.2%), while those of ages 40 and below only show 16.7%.45 Due to the uniformity of results observed in various studies, it is believed that LOH chromosome 10 is of a high value as a prognostic biomarker for both primary and secondary GBM, whereby a more specific LOH at 10q25qter is accurate in diagnosing secondary GBM.46

One of the tumor suppressor genes heavily affected by LOH 10q is PTEN, whereby it regulates the PI3K pathway and thus modulates the cellular proliferation.47 PTEN functions by inhibiting PIP3 and thus resulting in no proliferation and apoptosis. Other tumor suppressor genes which might affect include TP53 and NF1, each serving different functions in the tumorigenesis of GBM.

3.6 Tumor protein 53

TP53 gene encodes for a widely known tumor suppressor protein, p53. Dubbed as the guardian of the genome, p53 serves various roles in suppressing tumorigenesis. TP53 point mutations have been observed at a much higher rate in secondary GBM (90%) when compared to cases in primary GBM (30%), and in some cases, are absent in primary GBM.47, 48 This finding correlates with the fact that mutations leading up to GBM might occur early in the development of gliomas and accumulate as the tumor progresses. Based on its molecular subtype, proneural GBM has a high incidence of TP53 mutation, while the classical subtype seems to lack this altogether.7, 10 One proposed mechanism of TP53 mutation in aiding the progression of GBM is via the mevalonate (MVA) pathway regulation. Elevated activity of MVA pathway has been observed in R273H cells (mutant TP53) as compared to U343 cells (wild-type TP53).49 Based on qRT-PCR methods, the TP53 mutation was verified to be upregulated and is correlated with the MVA pathway activation due to the upregulation of enzymes known to promote tumorigenesis, namely MVA kinase and 3’-hydroxy-3’-methylglutaryl-coenzyme A reductase.

Mouse double minute 2 homolog (MDM2) is a strong negative regulator of the TP53 gene in regulating tumorigenesis. The use of inhibitors of MDM2 is efficacious in patients harboring TP53 mutations. RG7112, a type of MDM2 inhibitor, has shown some promise for clinical testing based on researches done in TP53-MDM2 amplified cell lines.50 Some pathways involving mTOR and Bcl-2 are interestingly conferring resistance to certain cancer drugs and thus this opens interesting avenues to delve into in TP53 mutation GBM.51

3.7 Circulating tumor cells

GBM, much like other cancers, portrays circulating tumor cells (CTCs) which might lead to eventual metastasis and spreading of the disease. CTCs of GBM may harbor prognostic values which could also serve monitoring roles in patients. Easily obtainable from bodily fluid such as blood samples and analyzed via telomerase assays or amplification of EGFR, CTC has been reported to occur at high prevalence in GBM, up to >75%.50-54 Despite no significant correlation being reported, CTC has been noted to be phenotypically similar to the subtypes of proneural and mesenchymal subtypes.55 The most interesting clinical value for GBM CTC would be its correlation to tumor progression52 and recurrence54 aside from distinguishing the different molecular subtypes of GBM. Intriguingly, CTC levels detected after chemo-radiation are also significantly lower compared to the levels prior to treatment, which might offer an invaluable insight in differentiating tumor progression from radionecrosis.

4 MICRORNA AS BIOMARKERS

MiRNAs are short RNA molecules which are noncoding and are often correlated with progression of cancerous cells. The role of miRNA in the development and progression of tumor cells is based on its pathway modulatory abilities in oncogenic and tumor suppressor genes. MiRNA samples are often collected from bodily fluids (e.g. urine and blood) and specifically the cerebrospinal fluid for profiling of GBM and many other nervous system diseases.55 The utilization of miRNA as molecular biomarkers has been reported to yield >90% specificity in detection of GBM itself.56 MiRNA is a useful biomarker in cancer detection due to its less-invasive approach, mainly gathered from bodily fluid and it also allows patient stratification over the usual prognostic or predictive ability of certain molecular biomarkers.57 Table 2 provides a summary of the miRNA discussed within this section.

Table 2. Summary on microRNA biomarkers of GBM
Biomarker Source and analysis Significance Regulation and prevalence in GBM Functional relevance Related studies
miR-21
  • Source: Bodily fluid (CSF, blood and urine)
  • Analysis: PCR
Prognostic and predictive biomarker; also allows patient stratification Upregulated (+)
  • Modulates PTEN, RECK, FasL and PDCD4 for GBM cells to proliferate
  • - Hypothesized to play a role in CSC differentiation with Fas ligand as its main target
  • Niyazi et al.58
  • Si et al.59
  • Sekar et al.60
miR-10b
  • Source: Bodily fluid (CSF, blood and urine)
  • Analysis: PCR
Prognostic and predictive biomarker
  • Upregulated (+)
  • - In most if not all GBM subtypes and GBM stem cells
Alternative splicing of RSRC1 and MBNL or by activation of caspases accompanied by inhibition of Bcl-2 pathway to induce excessive proliferation
  • Guessous et al.61
  • Teplyuk et al.62
  • Zhen et al.63
miR-15b
  • Source: Bodily fluid (CSF, blood and urine)
  • Analysis: PCR
Prognostic and predictive biomarker Downregulated (–) miR-15b downregulation correlates with cell cycle progression Sun et al.64
miR-137
  • Source: Bodily fluid (CSF, blood and urine)
  • Analysis: PCR
Prognostic and predictive biomarker Downregulated (–) miR-137 downregulation is hypothesized to be negative regulation of gene target, GLIPR-1 Bier et al.65
miR-181d
  • Source: Tumor tissue sample
  • Analysis: Microarray
Prognostic and predictive biomarker; possible treatment option Downregulated (–) miR-181d is inversely correlated to MGMT expression, offering a potential outlet to bypass TMZ resistance Khalil et al. (2016)

MiR-21 is highly expressed in various types of cancers (i.e. ovaries, cervix and lungs) including GBM. Modulatory ability of miR-21 has been shown to affect tumor suppressor genes such as PTEN, RECK, FasL and PDCD4.58, 59 The inhibition of miR-21 subsequently halts cell growth, increases apoptosis and reduces proliferation of GBM cancer cells. This miRNA biomarker is also hypothesized to have a role in cancer stem cell (CSC) differentiation due to its upregulation in GBM CSC population via Fas ligand as its main genetic target.60 Other than miR-21, MiR-10b is an miRNA which is highly expressed in most if not all GBM subtypes and GBM stem cells. Its absence in normal glial cells allows this miRNA to be a valuable prognostic biomarker of the disease.61 The mechanism of tumorigenesis is suspected to be due to miR-10b via the alternative splicing of RSRC1 and MBNL genes.62 Another proposed mechanism of miR-10b is the cell cycle disruption via the activation of caspases alongside the inhibition of Bcl-2 pathway, inducing excessive cell proliferation.63 Aside from inducing tumorigenesis, miR-10b has been reported to increase resistance to radiotherapy via the activation of AKT pathway, thus opening new therapeutic avenues using miR-10b as a combinatorial drug target.63

Possessing opposing effects compared to the first two miRNAs discussed, miR-15b has been reported to halt cell cycle progression and cell proliferation, making it an interesting prognostic biomarker of GBM. It was also noted that the presence of miR-15b is inversely correlated with worsening histopathological status of GBM and various other gliomas and subsequently the overall survival of patients with GBM harboring fewer miR-15b.64 Other miRNA possessing similar suppressor effects is the miR-137. Promoter of miR-137 is found to be hypermethylated in GBM specimens which is hypothesized to be a negative regulation of its gene target, GLIPR-1.65

The expression of various other miRNAs in the setting of GBM, including miR-127, miR-181d, miR-603 and miR-648, has been shown to modulate TMZ resistance by silencing MGMT promoters. In vivo and in vitro findings of these studies were consistent with validation via microarray and PCR analysis, and the activities of such miRNA have been studied to affect MGMT expression at different stages, be it genetic or proteomic.19 66, 67 Despite the validated silencing capabilities, these miRNA productions have been noted to be downregulated in worsening symptoms of GBM, accompanied with higher degree of TMZ resistance. The inverse correlation of various reported miRNAs to mechanisms of resistance to chemotherapy, despite not being fully understood, may provide more insight for studies to be done by utilizing miRNAs as a potent regulator of genes such as MGMT, which worsen prognosis.

Despite the seemingly promising preclinical data on miRNA's potential as a biomarker, various factors still need to be taken into consideration. One of the major issues faced when utilizing miRNA as a prognostic option is the extracellular role that miRNA has in supporting cancer growth, be it in its fluctuating presence in tumor vesicles and exosomes.68 As an outlet to be targeted, an experimental study utilizing locked nucleic acid to target miR-21c has been proven to significantly reduce cell viability of GBM in vitro, providing an interesting preclinical insight.69 As a therapeutic option, another question arises on the efficacy and efficiency of miRNA delivery to modulate cancer growth. To counter delivery problems, approaches utilizing nanoliposome or naturally-derived nanoparticles show good results,70 although side effects of these are to be expected. The varying data available regarding miRNA show that these molecules do show correlation with types of GBM although studies are currently at their infancy.

5 ADVANCEMENTS IN CLINICAL THERAPY

To date, the most convincing commercial therapy for GBM especially in elderly patients is the combination of surgical resection, chemoradiotherapy with TMZ as adjuvant.71 Extensive attention has been poured into the field of GBM therapy and various new technologies have been developed in battling GBM. The summary of therapies discussed is outlined in Table 3.

Table 3. Different therapeutic approaches to combat GBM
Therapy Mechanism Effects Limitations Related studies
TMZ Alkylating agent which arrests cell cycle at G2/M checkpoint Apoptosis of GBM cells; 12 months overall survival in treated group (8 months in untreated) with radiotherapy TMZ resistance due to MGMT, IDH and p53 gene upregulation
  • Hegi et al.16
  • Alonso et al.72
  • Van Genugten (2010)58
Gene therapy
Toca 511 and Toca FC CD enzyme catalyzes the production of 5-FU from 5-FC in cancer cells Increased overall survival from 21.3 to 29.2 months in recurrent patients, with similar increasing trend observed in other trials Individual variations, but overall offers excellent approach
  • Cloughesy et al.,79 Strebe et al.80
  • Yagiz et al.78
AAV9 vector to produce sTRAIL sTRAIL is an anticancer agent which binds to death receptors and AAV9 can pass blood–brain barrier Killed 60% GBM murine models by inducing apoptosis Potential resistance and poor gene transfer
  • Crommentuijn et al. (2016)
  • Gray et al.82
Suicide gene (Thymidine kinase) transfer via HSV Phosphorylation of cytotoxic nucleoside analogues causes binding with DNA of cancer cells Halt cell division and slower progression of cancer or cell death Potential resistance and poor gene transfer Natsume et al.83
p53 introduction via nonreplicating Adenovirus 5 Halts cellular progression at checkpoints at a proper manner Significant decrease in cell proliferation, tumorigenesis and progression in vivo Potential resistance and poor gene transfer Hong et al.84
Immunotherapy
EGFRvIII vaccine Trigger immunity toward EGFRvIII on GBM tumor cell surface 26 months overall survival in treated group (15 months in untreated) Poor immune response and individual variations
  • Ampie et al.86
  • Heimberger et al.87
CAR T cells Engineered T cells penetrate solid GBM tumors and recruit supporting inflammatory molecules Cytotoxic toward GBM cells Cytokine storm might be induced
  • Brown et al.92
  • Miao et al.93
  • Ramos et al.94
  • Yaghoubi et al.91

5.1 Temozolomide chemotherapy

TMZ is an alkylating agent consumed orally by GBM and astrocytoma patients. The main mechanism of action of TMZ is by arresting the cell cycle at G2/M checkpoint which would eventually lead to apoptosis of GBM cancer cells.72 Various studies have assessed the effectiveness of TMZ as a drug choice for primary GBM which yielded a median overall survival of patients treated with TMZ in conjunction with radiotherapy to be 12 months, while the untreated group which only underwent radiotherapy had a median overall survival of 8 months.72 Addition of TMZ in radiotherapy yielded as much as 18% of test subjects surviving for at least 2 years, as compared to the 4% which survived for 2 years without the administration of TMZ.73

Despite the widespread use of TMZ as a drug of choice in the case of GBM, individual differences still exist and this takes form in TMZ resistance. The mechanism of resistance is observed to be tied to the overexpression of MGMT protein within GBM cells due to the lack of promoter methylation16-22 or wild-type IDH expression.39 This would in turn lead to a worse prognosis of GBM cases. Various other mechanisms have been proposed as to how the phenomenon of TMZ resistance came about, including the mismatch repair pathway74 and p53 pathway.75 Despite most findings indicating the vast correlation of MGMT expression to worsening prognosis of GBM upon TMZ treatment, a study conducted by Bocangel et al. has shown otherwise, which led various researches to focus on other molecular determinant of TMZ resistance aside from MGMT.76 To mitigate the effects of TMZ resistance, the usage of MGMT inhibitors such as O6-benzylguanine or interferon beta could activate the p53 cascade and thus sensitizing TMZ-resistant cells.77

5.2 Gene therapy

The technique to incorporate tumoricidal genes within viral vectors has been around in the field of oncology for a few years. One such example is Toca 511 and Toca FC which is still in development to deploy transgene cytosine deaminase via a retroviral replicating vector which catalyzes the production of 5-fluorocytosine to the active 5-fluorouracil.78 Toca 511 and Toca FC have been utilized in phases I and II clinical trials which yielded positive results in terms of lifespan of high-grade glioma patients.79, 80 The most interesting aspect of this retroviral system is that it does not trigger host's immune system and thus allow an oncolytic agent to be deployed and spread rapidly across functional tumor cells.

Another approach in combating GBM with viral gene transfer technique is the use of adeno-associated virus (AAV) vectors injected directly into GBM cells within the brain to express genes which are tumoricidal in nature. The usage of AAV9 vector to produce an anticancer agent, sTRAIL that killed as much as 60% of GBM cells in murine models and transfected cell lines as compared to the control, has been demonstrated by Crommentujin et al.81 AAV9 viral vector is a brilliant choice of a viral vector due to its serotype ability to pass blood–brain barrier in IV administration.82 The statistics obtained from the use of AAV vectors provide promising approaches to therapeutic advancements in GBM.

Other approaches for gene therapy include the transfer of suicide genes (thymidine kinase) within herpesvirus vectors which allowed cytotoxic nucleoside analogues to be phosphorylated. This phosphorylation would in turn cause the analogues to combine with the DNA of proliferating cells and thus halt their cell division.83 The introduction of exogenous tumor suppressor genes (i.e. p53, PTEN and p16INK4A) via nonreplicating adenovirus serotype 5 into GBM cells also showed a significant decrease in cellular proliferation, tumorigenesis and tumor progression in vivo.84 Despite the excellent opportunity for a therapy which combines tumor suppression and gene therapy, the gene transfer technique has limitations which include potential resistance and poor gene transfer. To mediate the downside of gene therapy, efforts such as inhibition of histone deacetylase 6 in tumor cells have shown promising results in increasing the oncolytic properties of viral gene transfer.85

5.3 Immunotherapy

The use of our body's own immune system as opposed to utilizing exogenous agents to ward off cancers such as GBM has been an interesting field in oncology. One such effort is the use of vaccines to trigger the body's immune response. Peptide vaccines such as the EGFRvIII found in primary GBM and classical GBM subtype could be administered to trigger immunity toward EGFRvIII expressed in GBM tumor cells.86 A phase II trial with 18 patients enrolled yielded 26 months of overall survival of patients treated with EGFRvIII vaccine, while the control group only showed 15 months of overall survival.87 This result allowed the trial to proceed and given the safety of this vaccine's toxicity profile, this vaccine harbors a future in the immunotherapeutic advancements in GBM. Other available vaccine options under clinical trials are tumor lysate vaccine and the dendritic cell-based vaccine (DCVax-L).88

The development of chimeric antigen receptor (CAR) T cells via T cell engineering (i.e. adoptive cell transfer) is another futuristic method in the combating GBM.89 By constructing T cells displaying CARs to target glioblastoma specific antigens (e.g. EGFRvIII and GBM-specific interleukins), these engineered CAR T cells have been observed to initiate potent tumoricidal activity.90, 91 Such effects portrayed by CAR T cells have been proven clinically in various clinical trials which specifically recruited GBM patients.91, 92 The development of CAR T cells provided results which are consistent with its usefulness compared to antibody-based immunotherapy as the engineered T cells can penetrate solid GBM tumors and recruit supporting molecules into the cancer microenvironment for a better immune response.93 Despite its benefits, one of the main concerns with the use of CAR T cells is the cytokine storm which might occur due to fast-paced T-cell proliferation, triggering various other health problems in GBM test patients.94

Immunotherapy has been refined throughout the decades to meet a bigger niche and fields of diseases by combining results of biomarker discovery or even cell engineering. Developing an effective, immunotherapeutic treatment which is nontoxic would be the end-goal of the immunotherapy advancements of GBM therapy.

6 CONCLUSIONS

The aggressiveness and complexity of GBM in patients call for a dire need of development of noninvasive biomarkers for accurate and early diagnosis of the disease. Despite decades of research to develop an effective biomarker for detection and prognosis of GBM, only few have come out with promising results. Classical molecular biomarkers and miRNA were then utilized as drug targets to develop therapies which would eventually defeat GBM. The discovery of biomarkers is indeed a very strenuous journey, but with advancements in genomics and proteomics strategies, more and more biomarkers have been discovered and tested to create a fully functional commercially available therapy for GBM. Some biomarkers present correlations with other biomarkers. Thus, the search for efficient biomarkers of GBM has to be done by looking at the complex molecular pathways of the disease as a whole.

CONFLICT OF INTEREST

No potential conflict of interest was reported by the authors.

    Volume14, Issue1

    February 2018

    Pages 40-51

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