Alteration of serum and tumoral neural cell adhesion molecule (NCAM) isoforms in patients with brain tumors

Highly Multiplexed Spatially Resolved Proteomic and Transcriptional Profiling of the Glioblastoma Microenvironment Using Archived Formalin-Fixed Paraffin-Embedded Specimens

Glioblastoma is a heterogeneous tumor for which effective treatment options are limited and often insufficient. Few studies have examined the intratumoral transcriptional and proteomic heterogeneity of the glioblastoma microenvironment to characterize the spatial distribution of potential molecular and cellular therapeutic immunooncology targets. We applied an integrated multimodal approach comprised of NanoString GeoMx Digital Spatial Profiling, single-cell RNA-seq (scRNA-seq), and expert neuropathologic assessment to characterize archival formalin-fixed paraffin-embedded glioblastoma specimens. Clustering analysis and spatial cluster maps highlighted the intratumoral heterogeneity of each specimen. Mixed cell deconvolution analysis revealed that neoplastic and vascular cells were the prominent cell types throughout each specimen, with macrophages, oligodendrocyte precursors, neurons, astrocytes, and oligodendrocytes present in lower abundance and illustrated the regional distribution of the respective cellular enrichment scores. The spatial resolution of the actionable immunotherapeutic landscape showed that robust B7H3 gene and protein expression was broadly distributed throughout each specimen and identified STING and VISTA as potential targets. Lastly, we uncovered remarkable variability in VEGFA expression and discovered unanticipated associations between VEGFA, endothelial cell markers, hypoxia, and the expression of immunoregulatory genes, indicative of regionally distinct immunosuppressive microdomains. This work provides an early demonstration of the ability of an integrated panel-based spatial biology approach to characterize and quantify the intrinsic molecular heterogeneity of the glioblastoma microenvironment.

Inter and intra-tumor heterogeneity of paediatric type diffuse high-grade gliomas revealed by single-cell mass cytometry

Paediatric-type diffuse high-grade gliomas (PDHGG) are aggressive tumors affecting children and young adults, with no effective treatment. These highly heterogeneous malignancies arise in different sites of the Central Nervous System (CNS), carrying distinctive molecular alterations and clinical outcomes (inter-tumor heterogeneity). Moreover, deep cellular and molecular profiling studies highlighted the coexistence of genetically and phenotypically different subpopulations within the same tumor mass (intra-tumor heterogeneity). Despite the recent advances made in the field, the marked heterogeneity of PDHGGs still impedes the development of effective targeted therapies and the identification of suitable biomarkers. In order to fill the existing gap, we used mass cytometry to dissect PDHGG inter- and intra-heterogeneity. This is one of the most advanced technologies of the "-omics" era that, using antibodies conjugated to heavy metals, allows the simultaneous measurement of more than 40 markers at single-cell level. To this end, we analyzed eight PDHGG patient-derived cell lines from different locational and molecular subgroups. By using a panel of 15 antibodies, directly conjugated to metals or specifically customized to detect important histone variants, significant differences were highlighted in the expression of the considered antigens. The single-cell multiparametric approach realized has deepened our understanding of PDHGG, confirming a high degree of intra- and inter-tumoral heterogeneity and identifying some antigens that could represent useful biomarkers for the specific PDHGG locational or molecular subgroups.

Advanced image analysis-based evaluation of protein antibody microarray chemiluminescence signal improves glioma type identification by blood serum proteins concentrations

BACKGROUND AND OBJECTIVE

Gliomas are the most common brain tumors usually classified as benign low-grade or aggressive high-grade glioma. One of the promising possibilities of glioma diagnostics and tumor type identification could be based on concentration measurements of glioma secreted proteins in blood. However, several published approaches of quantitative proteomic analysis emphasize limits of one single protein to be used as biomarker of these types of tumors. Simultaneous multi-protein concentrations analysis giving antibody array-based methods suffer from poor measurement accuracy due to technical limitations of imaging systems.

METHODS

We applied Principal Component Analysis (PCA) for series of repeated antibody array chemiluminescence images to extract the component representing relative values of protein concentrations, free from zero-mean noise and uneven background illumination - main factors corrupting evaluation result.

RESULTS

The proposed method increased accuracy of protein concentration estimates at least 2-fold. Decision tree classifier applied to the relative concentration values of three proteins TIMP-1, PAI-1 and NCAM-1 estimated by proposed image analysis method effectively distinguished between low-grade glioma, high-grade glioma and healthy control subjects showing validation accuracy of 74.9% with the highest positive predictive value of 81.2% for high grade glioma and 57.1% for low grade glioma cases.

CONCLUSIONS

PCA-based image processing could be applied in protein antibody microarray and other multitarget detection/evaluation investigations to increase estimation accuracy.

Identification of Astrocytoma Blood Serum Protein Profile

High-grade astrocytomas are some of the most common and aggressive brain cancers, whose signs and symptoms are initially non-specific. Up to the present date, there are no diagnostic tools to observe the early onset of the disease. Here, we analyzed the combination of blood serum proteins, which may play key roles in the tumorigenesis and the progression of glial tumors. Fifty-nine astrocytoma patients and 43 control serums were analyzed using Custom Human Protein Antibody Arrays, including ten targets: ANGPT1, AREG, IGF1, IP10, MMP2, NCAM1, OPN, PAI1, TGFβ1, and TIMP1. The decision tree analysis indicates that serums ANGPT1, TIMP1, IP10, and TGFβ1 are promising combinations of targets for glioma diagnostic applications. The accuracy of the decision tree algorithm was 73.5% (75/102), which correctly classified 79.7% (47/59) astrocytomas and 65.1% (28/43) healthy controls. The analysis revealed that the relative value of osteopontin (OPN) protein level alone predicted the 12-month survival of glioblastoma (GBM) patients with the specificity of 84%, while the inclusion of the IP10 protein increased model predictability to 92.3%. In conclusion, the serum protein profiles of ANGPT1, TIMP1, IP10, and TGFβ1 were associated with the presence of astrocytoma independent of its malignancy grade, while OPN and IP10 were associated with GBM patient survival.

Deglucohellebrin: A Potent Agent for Glioblastoma Treatment

BACKGROUND

Glioblastoma is the most common primary brain tumor in adults with a dismal prognosis. To date, several anticancer agents have been isolated from plants. Helleborus odorus subsp. Cyclophyllus is an endemic plant of the Balcan flora. Herewith, we investigated for the first time, the anti-glioma effect of deglucohellebrin (DGH) extracted from the roots of Helleborus.

METHODS

We investigated the effect of DGH in U251MG, T98G and U87G glioblastoma cell lines. We selected the T98G cells because of their inherent temozolomide resistance.

RESULTS

The IC50 value of reduced viability for DGH was 7x10-5M in U251MG cells, 5x10-5M for the T98G cells and 4x10-5M in U87G cells during 72h treatment. DGH induced G2/M cell cycle arrest, caspace-8 activation and significant mitochondrial membrane depolarization, suggesting the activation of the intrinsic, mitochondrial- dependent apoptotic pathway. DGH and temozolomide induced changes in CDs' expression in U251MG and T98G cells. In zebrafish, DGH did not induce toxicity or behavioral alterations.

CONCLUSION

The present study is the first to determine the anti-glioma activity of DGH. DGH may be a potent agent for glioblastoma treatment and further studies are needed.

Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response

Glioblastoma is the most aggressive adult primary brain tumor which is incurable despite intensive multimodal treatment. Inter- and intratumoral heterogeneity poses one of the biggest barriers in the diagnosis and treatment of glioblastoma, causing differences in treatment response and outcome. Noninvasive prognostic and predictive tests are highly needed to complement the current armamentarium. Noninvasive testing of glioblastoma uses multiple techniques that can capture the heterogeneity of glioblastoma. This set of diagnostic approaches comprises advanced MRI techniques, nuclear imaging, liquid biopsy, and new integrated approaches including radiogenomics and radiomics. New treatment options such as agents targeted at driver oncogenes and immunotherapy are currently being developed, but benefit for glioblastoma patients still has to be demonstrated. Understanding and unraveling tumor heterogeneity and microenvironment can help to create a treatment regime that is patient-tailored to these specific tumor characteristics. Improved noninvasive tests are crucial to this success. This review discusses multiple diagnostic approaches and their effect on predicting and monitoring treatment response in glioblastoma.

Moschamine inhibits proliferation of glioblastoma cells via cell cycle arrest and apoptosis

Glioblastoma is the most common and most malignant primary brain tumor with a median survival of 15 months. Moschamine is an indole alkaloid that has a serotoninergic and cyclooxygenase inhibitory effect. In this study, we sought to determine whether moschamine could exert cytotoxic and cytostatic effects on glioma cells in vitro. Moschamine was tested for toxicity in zebrafish. We investigated the effect of moschamine on U251MG and T98G glioblastoma cell lines. Viability and proliferation of the cells were examined with trypan blue exclusion assay, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, and the xCELLigence system. Apoptosis (annexin-propidium iodide), cell cycle, and CD24/CD44/CD56/CD15 expression were tested with flow cytometry. Treatment with moschamine significantly reduced cell viability in both cell lines tested. Induction of cell death and cell cycle arrest was confirmed with flow cytometry in both cell lines. After treatment with moschamine, there was a dose-dependent decrease in CD24 and CD44 expression, whereas there was no change in CD56 and CD15 expression in T98G cell line. The zebrafish mortality on the fifth post-fertilization day was zero even for 1 mM of moschamine concentration. The treatment of glioblastoma cell lines with moschamine may represent a novel strategy for targeting glioblastoma.

Emerging circulating biomarkers in glioblastoma: promises and challenges

Glioblastoma (GBM) is the most common and devastating primary malignant brain tumor in adults. The past few years have seen major progress in our understanding of the molecular basis of GBM. These advances, which have contributed to the development of novel targeted therapies, will change the paradigms in GBM therapy from disease-based to individually tailored molecular target-based treatment. No validated circulating biomarkers have yet been integrated into clinical practice for GBM. There is thus a critical need to implement minimally invasive clinical tests enabling molecular stratification and prognosis assessment, as well as the prediction and monitoring of treatment response. After examination of data from recent studies exploring several categories of tumor-associated biomarkers (circulating tumor cells, extracellular vesicles, nucleic acids and oncometabolites) identified in the blood, cerebrospinal fluid and urine, this article discusses the challenges and prospects for the development of circulating biomarkers in GBM.

Liquid biopsies in patients with diffuse glioma

Diffuse gliomas are the most common malignant primary tumors of the central nervous system. Like other neoplasms, these gliomas release molecular information into the circulation. Tumor-derived biomarkers include proteins, nucleic acids, and tumor-derived extracellular vesicles that accumulate in plasma, serum, blood platelets, urine and/or cerebrospinal fluid. Recently, also circulating tumor cells have been identified in the blood of glioma patients. Circulating molecules, vesicles, platelets, and cells may be useful as easily accessible diagnostic, prognostic and/or predictive biomarkers to guide patient management. Thereby, this approach may help to circumvent problems related to tumor heterogeneity and sampling error at the time of diagnosis. Also, liquid biopsies may allow for serial monitoring of treatment responses and of changes in the molecular characteristics of gliomas over time. In this review, we summarize the literature on blood-based biomarkers and their potential value for improving the management of patients with a diffuse glioma. Incorporation of the study of circulating molecular biomarkers in clinical trials is essential for further assessment of the potential of liquid biopsies in this context.

The evidence of glioblastoma heterogeneity

Cancers are composed of heterogeneous combinations of cells that exhibit distinct phenotypic characteristics and proliferative potentials. Because most cancers have a clonal origin, cancer stem cells (CSCs) must generate phenotypically diverse progenies including mature CSCs that can self-renew indefinitely and differentiated cancer cells that possess limited proliferative potential. However, no convincing evidence exists to suggest that only single CSCs are representative of patients' tumors. To investigate the CSCs' diversity, we established 4 subclones from a glioblastoma patient. These subclones were subsequently propagated and analyzed. The morphology, the self-renewal and proliferative capacities of the subclones differed. Fluorescence-activated cell sorting and cDNA-microarray analyses revealed that each subclone was composed of distinct populations of cells. Moreover, the sensitivities of the subclones to an inhibitor of epidermal growth factor receptor were dissimilar. In a mouse model featuring xenografts of the subclones, the progression and invasion of tumors and animal survival were also different. Here, we present clear evidence that a brain tumor contains heterogeneous subclones that exhibit dissimilar morphologies and self-renewal and proliferative capacities. Our results suggest that single cell-derived subclones from a patient can produce phenotypically heterogeneous self-renewing progenies in both in vitro and in vivo settings.

Towards developing biomarkers for glioblastoma multiforme: a proteomics view

Glioblastoma multiforme (GBM) is one of the most aggressive and lethal forms of the primary brain tumors. With predominance of tumor heterogeneity and emergence of new subtypes, new approaches are needed to develop tissue-based markers for tumor typing or circulatory markers to serve as blood-based assays. Multi-omics data integration for GBM tissues would offer new insights on the molecular view of GBM pathogenesis useful to identify biomarker panels. On the other hand, mapping differentially expressed tissue proteins for their secretory potential through bioinformatics analysis or analysis of the tumor cell secretome or tumor exosomes would enhance our understanding of the tumor microenvironment and prospects for targeting circulatory biomarkers. In this review, the authors first present potential biomarker candidates for GBM that have been reported and then focus on plausible pipelines for multi-omic data integration to identify additional, high-confidence molecular panels for clinical applications in GBM.

Circulating glioma biomarkers

Validated biomarkers for patients suffering from gliomas are urgently needed for standardizing measurements of the effects of treatment in daily clinical practice and trials. Circulating body fluids offer easily accessible sources for such markers. This review highlights various categories of tumor-associated circulating biomarkers identified in blood and cerebrospinal fluid of glioma patients, including circulating tumor cells, exosomes, nucleic acids, proteins, and oncometabolites. The validation and potential clinical utility of these biomarkers is briefly discussed. Although many candidate circulating protein biomarkers were reported, none of these have reached the required validation to be introduced for clinical practice. Recent developments in tracing circulating tumor cells and their derivatives as exosomes and circulating nuclear acids may become more successful in providing useful biomarkers. It is to be expected that current technical developments will contribute to the finding and validation of circulating biomarkers.

Polysialic acid is associated with better prognosis and IDH1-mutation in diffusely infiltrating astrocytomas

Background

The aim of the study was to assess the localization of Polysialic acid (polySia) and Neural cell adhesion molecule (NCAM) in grade I–IV astrocytomas by confocal microscopy, and also to clarify and compare their relationship to conventional clinicopathological features in these tumors.

Methods

Study material was stained immunohistochemically for polySia, NCAM and IDH1-R132H point mutation. Confocal microscopy of polySia and NCAM staining was performed on tissue micro-array samples (TMA) of 242 diffusely infiltrating astrocytomas (grade II: 28; grade III: 33; grade IV: 181) and 82 pilocytic astrocytomas. The results were statistically correlated to clinicopathological factors and survival data.

Results

PolySia was observed in 45 cases (19%) and NCAM positivity in 92 cases (38%). All 45 tumors with polySia positivity were also positive for NCAM whereas there were 47 tumors which contained positive staining for NCAM but not for polySia. The simultaneous expression was concomitant and colocalized suggesting polysialyated NCAM (polySia-NCAM). PolySia expression was significantly stronger in IDH1 mutated tumors than in IDH1 non-mutated (p = 0.001, chi-square test). There were no significant differences in polySia-NCAM between primary tumors or recurrences (p = n.s., chi-square test). PolySia positivity was associated with longer patient survival in relation to total tumor material (p = 0.020, log-rank test). Furthermore, when only glioblastomas were assessed, patients with positive polySia had significantly better prognosis (p = 0.006, log-rank test). In multivariate survival analysis, polySia was found to be an independent prognostic factor. PolySia was nearly absent in grade I pilocytic astrocytomas (1 immunopositive tumor of 82).

Conclusions

Expression of polySia is common in adult grade II–IV astrocytomas, whereas it is nearly absent in pediatric grade I pilocytic astrocytomas. PolySia positivity is associated with longer survival rates in patients with a grade II–IV astrocytomas and also grade IV glioblastomas assessed separately. The results of this study suggest that IDH1 mutation may be associated with polySia expression pathways in malignant gliomas.

Systematic review of protein biomarkers of invasive behavior in glioblastoma

Glioblastoma (GBM) is an aggressive and incurable brain tumor with a grave prognosis. Recurrence is inevitable even with maximal surgical resection, in large part because GBM is a highly invasive tumor. Invasiveness also contributes to the failure of multiple cornerstones of GBM therapy, including radiotherapy, temozolomide chemotherapy, and vascular endothelial growth factor blockade. In recent years there has been significant progress in the identification of protein biomarkers of invasive phenotype in GBM. In this article, we comprehensively review the literature and survey a broad spectrum of biomarkers, including proteolytic enzymes, extracellular matrix proteins, cell adhesion molecules, neurodevelopmental factors, cell signaling and transcription factors, angiogenic effectors, metabolic proteins, membrane channels, and cytokines and chemokines. In light of the marked variation seen in outcomes in GBM patients, the systematic use of these biomarkers could be used to form a framework for better prediction, prognostication, and treatment selection, as well as the identification of molecular targets for further laboratory investigation and development of nascent, directed therapies.

Circulating biomarkers of CNS tumors: an update

CNS tumors comprise approximately 120 histological subtypes. Advances of surgical resection, radiation and systemic therapy have increased the survival rates of distinct types of CNS tumor patients. There is growing interest in identification of diagnostic, prognostic or predictive blood biomarkers in CNS tumor patients, and emerging studies indicate that certain brain tumors are indeed associated with distinct profiles of circulating factors such as proteins (e.g., glial fibrillary acidic protein), DNA fragments (e.g., containing mutated IDH) or miRNAs (e.g., miRNA-21). However, blood biomarker research in neurooncology is, for the most part, at an exploratory level, and adequately powered and well-designed studies are needed to translate the available interesting but preliminary findings into actual clinical use. In this review, the current knowledge on circulating biomarkers of CNS tumors is briefly summarized.

Clinicopathologic features of intracranial central neurocytomas in 2 dogs

BACKGROUND

In humans, central neurocytomas are rare and typically benign intracranial tumors found within the lateral ventricles, although extraventricular variants have been reported. Intracranial central neurocytomas have not been previously recognized in domestic animals.

OBJECTIVES

To describe the clinicopathologic features of canine intracranial central neurocytomas.

ANIMALS

Two dogs with spontaneous intracranial and intraventricular neoplasms.

RESULTS

Both dogs experienced seizures, rapid neurological deterioration, and death from tumor-associated complications within 5 days of the onset of clinical signs, and had neoplastic masses within the lateral ventricles. A brain MRI was performed in 1 dog, which revealed a T1-isointense, heterogeneously T2 and FLAIR hyperintense, and markedly and heterogeneously contrast-enhancing mass lesions within both lateral ventricles. Histologically, the neoplasms resembled oligodendrogliomas. The diagnosis of central neurocytoma was supported by documenting expression of multiple neuronal markers, including neuron-specific enolase, synaptophysin, neural-cell adhesion molecule, and neuronal nuclear antigen within the tumors, and ultrastructural evidence of neuronal differentiation of neoplastic cells.

CONCLUSIONS AND CLINICAL IMPORTANCE

Central neurocytoma should be a differential diagnosis for dogs with intraventricular brain masses. Morphologic differentiation of central neurocytoma from other intraventricular neoplasms, such as ependymoma or oligdendroglioma, can be difficult, and definitive diagnosis often requires immunohistochemical or ultrastructural confirmation of the neural origin of the neoplasm.

Role of a neural cell adhesion molecule found in cerebrospinal fluid as a potential biomarker for epilepsy

The neural cell adhesion molecule (NCAM-1) plays an important role in cell adhesion and synaptic plasticity. We designed this study to evaluate NCAM-1 as a potential biomarker for epilepsy. We performed a quantitative evaluation of the levels of NCAM-1 in cerebrospinal fluid (CSF) and serum and noted differences in patients with epilepsy compared to control subjects. We used sandwich enzyme-linked immunosorbent assays to measure NCAM-1 concentrations in CSF and serum samples of 76 epileptic patients (subdivided into the following subgroups: drug-refractory epilepsy, DRE; first-diagnosis epilepsy, FDE; and drug-effective epilepsy, DEE) and 44 control subjects. Our results show that cerebrospinal fluid-NCAM-1 (CSF-NCAM-1) concentrations and NCAM-1 Indices in the epileptic group were lower than in the control group. Both the CSF-NCAM-1 concentration and the NCAM-1 Indices in the drug-refractory epilepsy group were lower than in the drug-effective epilepsy group. These differences were statistically significant (P < 0.05). However, serum-NCAM-1 levels were not statistically different when comparing the epilepsy group to the control group (P > 0.05). Our results indicate that CSF-NCAM-1 is a potential biomarker for drug-effective epilepsy and drug-refractory epilepsy.

HNK-1 glycan functions as a tumor suppressor for astrocytic tumor

Astrocytic tumor is the most prevalent primary brain tumor. However, the role of cell surface carbohydrates in astrocytic tumor invasion is not known. In a previous study, we showed that polysialic acid facilitates astrocytic tumor invasion and thereby tumor progression. Here, we examined the role of HNK-1 glycan in astrocytic tumor invasion. A Kaplan-Meier analysis of 45 patients revealed that higher HNK-1 expression levels were positively associated with increased survival of patients. To determine the role of HNK-1 glycan, we transfected C6 glioma cells, which lack HNK-1 glycan expression, with β1,3-glucuronyltransferase-P cDNA, generating HNK-1-positive cells. When these cells were injected into the mouse brain, the resultant tumors were 60% smaller than tumors emerging from injection of the mock-transfected HNK-1-negative C6 cells. HNK-1-positive C6 cells also grew more slowly than mock-transfected C6 cells in anchorage-dependent and anchorage-independent assays. C6-HNK-1 cells migrated well after treatment of anti-β1 integrin antibody, whereas the same treatment inhibited cell migration of mock-transfected C6 cells. Similarly, α-dystroglycan containing HNK-1 glycan is different from those containing the laminin-binding glycans, supporting the above conclusion that C6-HNK-1 cells migrate independently from β1-integrin-mediated signaling. Moreover, HNK-1-positive cells exhibited attenuated activation of ERK 1/2 compared with mock-transfected C6 cells, whereas focal adhesion kinase activation was equivalent in both cell types. Overall, these results indicate that HNK-1 glycan functions as a tumor suppressor.

Neural cell adhesion molecule isoform 140 declines with rise of WHO grade in human gliomas and serves as indicator for the invasion zone of multiform glioblastomas and brain metastases

PURPOSE

Gliomas are highly invasive neuroepithelial tumors with a propensity of malignant transformation and very restricted treatment options. The neural cell adhesion molecule (NCAM) modulates cellular migration, proliferation, and synaptic plasticity by homophilic and heterophilic interactions. Hereby, we investigated its relevance as a glioma tissue marker for the biological aggressiveness of these tumors and compared these features with the carcinoma brain metastasis invasion zone.

MATERIALS AND METHODS

We analyzed 194 human brain samples. Human tumor-free brain specimens served as control for the white and gray matter. In addition to that, we used human glioblastomas from nude rats. All tissues were investigated immunohistochemically for the expression of the NCAM isoform 140. Additionally, the multiplanar MRI-CT fusion neuronavigation-guided serial stereotactic biopsy was performed and completed by histopathological workup.

RESULTS

Human gliomas loose NCAM-140 with the rise of their WHO grade. Meningiomas are NCAM-140 negative. As the most striking feature, human brain metastases and the majority of human glioblastomas of our patients and of nude rats were totally NCAM-140 negative. This NCAM negativity led us to the conclusion of three different main glioblastoma invasion patterns. Surprisingly, the majority of brain metastasis samples that contained surrounding brain parenchyma demonstrated invasive tumor cell nests beyond the sharply demarcated metastasis border. We also found invasive metastatic cell nests outside the contrast enhancing tumor zone by means of the MRI-CT fusion neuronavigation-guided serial stereotactic biopsy.

CONCLUSION

The expression of NCAM-140 inversely correlates with the WHO grade of human gliomas. The lost expression of NCAM-140 in human glioblastomas and in brain metastases enables the investigation of the brain-tumor interface and the definition of glioblastoma invasion patterns and shows that brain metastases are more invasive than ever thought.

Serum proteomics of glioma: methods and applications

The prognosis of patients with glioblastoma, the most malignant adult glial brain tumor, remains poor in spite of advances in treatment procedures, including surgical resection, irradiation and chemotherapy. Genetic heterogeneity of glioblastoma warrants extensive studies in order to gain a thorough understanding of the biology of this tumor. While there have been several studies of global transcript profiling of glioma with the identification of gene signatures for diagnosis and disease management, translation into clinics is yet to happen. Serum biomarkers have the potential to revolutionize the process of cancer diagnosis, grading, prognostication and treatment response monitoring. Besides having the advantage that serum can be obtained through a less invasive procedure, it contains molecules at an extraordinary dynamic range of ten orders of magnitude in terms of their concentrations. While the conventional methods, such as 2DE, have been in use for many years, the ability to identify the proteins through mass spectrometry techniques such as MALDI-TOF led to an explosion of interest in proteomics. Relatively new high-throughput proteomics methods such as SELDI-TOF and protein microarrays are expected to hasten the process of serum biomarker discovery. This review will highlight the recent advances in the proteomics platform in discovering serum biomarkers and the current status of glioma serum markers. We aim to provide the principles and potential of the latest proteomic approaches and their applications in the biomarker discovery process. Besides providing a comprehensive list of available serum biomarkers of glioma, we will also propose how these markers will revolutionize the clinical management of glioma patients.