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. Author manuscript; available in PMC: 2023 Jun 1.
Published in final edited form as: Neurosurg Focus. 2022 Dec;53(6):E14. doi: 10.3171/2022.9.FOCUS22430

Strategies, considerations, and recent advancements in the development of liquid biopsy for glioblastoma: a step towards individualized medicine in GBM

Megan MJ Bauman 1,2,*, Samantha M Bouchal 1,2,*, Dileep D Monie 1,2, Abudumijiti (Zack) Aibaidula 3, Rohin Singh 4, Ian F Parney 2
PMCID: PMC9879623  NIHMSID: NIHMS1861155  PMID: 36455271

Abstract

Objective:

Glioblastoma (GBM) is a devasting primary brain tumor with <5% five-year survival. Treatment response assessment based can be challenging due to inflammatory pseudoprogression that mimics true tumor progression clinically and on imaging. Developing additional non-invasive assays are critical. In this manuscript, we review various biomarkers that could be utilized in developing liquid biopsies for GBM, along with strengths, limitations, and future applications. In addition, we present a potential liquid biopsy design based on the use of an extracellular vesicle-based liquid biopsy targeting non-neoplastic extracellular vesicles.

Methods:

We conducted a current literature review of liquid biopsy in GBM by searching PubMed, Scopus, and Google Scholar. Articles were assessed for type of biomarker, isolation methodology, analytic techniques, and clinical relevance.

Results:

Recent work has shown that liquid biopsies of plasma, blood, and/or cerebrospinal fluid (CSF) hold promise as non-invasive clinical tools that can be used to diagnose recurrence, assess treatment response, and predict patient outcomes in GBM. Liquid biopsy in GBM has focused primarily on extracellular vesicles, cell-free tumor nucleic acids, and whole cell isolates as focal biomarkers. GBM “tumor signatures” have been generated via analysis of tumor gene mutations, unique RNA expression, and metabolic and proteomic alterations. Liquid biopsies capture tumor heterogeneity, identifying alterations in GBM tumors that may be undetectable via surgical biopsy specimens. Finally, biomarker burden can be used to assess treatment response and recurrence in GBM.

Conclusions:

Liquid biopsy offers a promising avenue for monitoring treatment response and recurrence in GBM without invasive procedures. Although additional steps must be taken to bring liquid biopsy into the clinic, proof-of-principle studies and isolation methodologies are promising. Ultimately, CSF and/or plasma-based liquid biopsy is likely to be a powerful tool in the neurosurgeon’s arsenal in the near future for the treatment and management of GBM patients.

Keywords: glioblastoma, GBM, liquid biopsy, non-invasive diagnostics, extracellular vesicles, cell-free DNA

I. Liquid biopsy in GBM: potential for individualized medicine

Glioblastoma (GBM) is the most common primary malignant brain tumor. Despite aggressive multimodal treatment with surgery, radiation and chemotherapy, the median overall survival for newly diagnosed GBM patients remains abysmal at just 14–15 months. Care of GBM patients can be further complicated by the development of pseudoprogression – nonpathological, treatment-related changes that may occur in up to 45% of GBM patients within weeks to months following initiation of treatment.1 Classically, pseudoprogression has been reported with the combined use of temozolomide therapy and radiotherapy, though it has also been observed with immunotherapy utilization (i.e. checkpoint inhibitors).2 In addition, patients with O6-Methylguanine-DNA-methyltransferase (MGMT) promoter methylation and/or isocitrate dehydrogenase (IDH) mutations are particularly prone to the development of pseudoprogression.1 Unfortunately, pseudoprogression causes increased contrast enhancement and cerebral edema that is clinically and radiographically indistinguishable from true progression, thereby complicating care in the GBM patient population (Figure 1). Historically, pseudoprogression has been diagnosed most commonly by a combination of clinical and imaging findings, supported occasionally by histopathology from biopsy specimens. However, MRI findings are non-specific and have low sensitivity and specificity in this setting. Further, brain biopsy is invasive and has associated risks. Therefore, there is a vital need to develop and employ new non-invasive diagnostic assays to augment clinical and imaging findings.

Figure 1. Radiologic comparison of pseudoprogression to true progression.

Figure 1.

(A) T1 with GAD MRI showing inflammatory pseudoprogression following completion of cycle 9 in a 63 year old man. Biopsy of this patient showed necrosis with marked inflammatory infiltrate. (B) True progression indistinguishable on T1 with GAD MRI from pseudoprogression at cycle 9 in a 46 year old man. Biopsy of this patient showed viable tumor without inflammatory infiltrate.

Non-invasive diagnostic tools such as liquid biopsy have the potential to revolutionize GBM management (Figure 2). Liquid biopsy utilizes tumor biomarkers such as circulating tumor cells (CTCs), exosomes and other extracellular vesicles, and cell-free nucleic acids found in patients’ body fluids (blood, cerebrospinal fluid, urine, etc.).3,4 It is minimally invasive compared to brain biopsy and allows for real-time monitoring of disease progression. It has already been employed routinely for disease monitoring and detection in a variety of cancers including breast carcinoma and colon carcinoma.

Figure 2. Overview of liquid biopsy in GBM.

Figure 2.

GBM tumor cells produce EVs, CTCs, and cell-free DNA and RNA, which cross the BBB to varying degrees and enter the bloodstream. A substantial portion of each biomarker remains in the CSF. Liquid biopsy samples either CSF or blood/plasma for these biomarkers, which are analyzed using a variety of methods (e.g., ddPCR, WGS, NGS, and proteomics). Resultant data can be used to characterize the genetic tumor landscape, quantify treatment response, and guide individualized therapy options. Created with BioRender.com.

In GBM, recent work has suggested liquid biopsy’s clinical utility in distinguishing pseudoprogression from true progression.6 In addition, it offers an accessible, affordable, and minimally invasive solution for monitoring the clinical course and treatment response in GBM. Liquid biopsy has the potential to detect early recurrence before a patient becomes symptomatic.7 Further, liquid biopsy could continuously monitor treatment response (via tumor shrinkage) or treatment resistance before any gross changes in tumor size are apparent on imaging.7 Finally, liquid biopsy has been used to predict progression-free and overall survival of GBM patients in multiple studies.8,9

Importantly, liquid biopsy may prevent patients from receiving additional brain biopsies to determine whether imaging changes represent pseudoprogression versus true progression. It may also abrogate the need for additional advanced and expensive imaging modalities (i.e. PET). On an individual level, characterization of specific tumor biomarkers in a plasma or CSF sample could enable personalized treatment regimens and provide a means for detecting early recurrence.10 Therefore, liquid biopsy could serve as a powerful tool to incorporate individualized medicine into GBM patient treatment.

II. Options for liquid biopsy

Two overarching strategies exist as the basis for liquid biopsy in GBM. The first strategy involves the detection of tumor-specific material in plasma or CSF. The viability of this strategy lies in the notion that the increased permeability of the blood-brain barrier (BBB) in GBM allows for extravasation of tumor-derived components that can then be detected within the blood stream.11 However, detecting small quantities of specific tumor components in biofluids containing components of many other cell types presents a significant challenge. A second strategy involves analyzing bulk components of biofluids to develop a signature specific to GBM patients versus normal healthy donors. For this strategy, the status of GBM would be indirectly measured through the effects that GBM exerts on other components of biofluids (e.g., circulating immune cells). In the following sections, we describe various biomarkers that could be utilized in the development of liquid biopsy for GBM, along with their strengths, limitations, and future applications.

2.1. Extracellular vesicles

Extracellular vesicles (EVs) are membrane-encapsulated, 30 nm – 10 μm nanoparticles released by all cells.4 EVs are comprised of several subgroups, including apoptotic bodies (500 nm - 5 um), large oncosomes (1–10 um), microvesicles (typically 50–500 nm, up to 1 um), and exosomes (30–150 nm).4 Exosomes originate from the intraluminal vesicles manufactured in the multivesicular bodies of the late endosome, whereas microvesicles and large oncosomes bud directly off the plasma membrane and apoptotic bodies are formed via cell blebbing. In GBM, EVs have been shown to play a role in systemic immunosuppression,12 induction of angiogenesis,13 intercellular communication,14 and promotion of tumor growth and invasion.15 Further, EVs have been identified in plasma, CSF, urine, saliva, tears, and other bodily fluids.4 In addition, compared to cell free nuclei acids, EVs are relatively structurally robust and readily cross the BBB.16 Techniques used to isolate EVs for analysis currently include size exclusion chromatography, sequential filtration, differential ultracentrifugation, and density gradient ultracentrifugation, amongst others.17 However, inconsistencies in EV nomenclature abound in the literature, and disparate isolation methods have not yet been reconciled or standardized across groups.18 Furthermore, published studies on EVs are often limited by small sample size. Additional validation studies and well-designed prospective clinical trials will be vital to demonstrate robust outcomes correlations and confirm patient benefit.19

EV biomolecular cargo is composed of a mixture of nucleic acids, metabolites, and proteins reflective of their cell of origin.18 In GBM, genetic heterogeneity gives rise to variable cargo in tumor-derived EVs.20 Thus, tumor-derived EV cargo has been examined as a potential focal point for liquid biopsy. Putative molecular signatures have been established for GBM-derived EVs via analysis of EV proteomes,20,21 RNA contents,2022 genome methylation/genetic mutations,23 and surface markers.20,24 Important molecular pathways identified by these methods include those involved in complement activation/immune response,21 tissue remodeling/regeneration,25 invasion,26 and metabolism.27 Studies focused on more specific biomarkers have identified EGFRvIII,28 PD-L1,12 and vWF21 as potentially important markers, among others. Many of these experimental findings will require validation in the clinical setting. Due to the complexity and heterogeneity of EV cargo, a comprehensive signature that incorporates these findings must be developed for consistent and accurate diagnosis. Interestingly, this may be an advantage of EV-based liquid biopsy, as needle biopsy is often limited in its ability to detect heterogeneity.29

Alternatively, bulk plasma EV analyzed without specifically separating and concentrating tumor-derived EVs also provide valuable diagnostic information in designing a liquid biopsy. For instance, Cilibrasi et al. demonstrated differences in proteomic signatures of complement, inflammatory, and coagulation regulators in plasma EVs of GBM patients compared to normal healthy donors.21 In addition, the overall plasma EV concentration is higher in GBM patients compared to that taken from normal healthy donors; this change is specific to GBM versus brain metastases and extraaxial brain tumors30. Importantly, multiple groups have demonstrated that EV levels decline after tumor resection and rise again when the tumor relapses, thereby demonstrating its utility in clinical monitoring of GBM patients.6,30 Further, increased EV levels during chemotherapy/radiation has been demonstrated to be associated with shorter overall survival and earlier recurrence.31 Finally, these changes in plasma EV concentration may also be used to distinguish between true progression and pseudoprogression during chemotherapy/radiation.6

Spectral signatures, such as those obtained from Raman spectroscopy and flow cytometry, may allow rapid and straightforward detection of EVs. Maas et. al. reported that orally administering 5-aminolevulinic acid (5-ALA) prior to tumor resection allowed for detection of GBM EVs via flow cytometry in patient plasma.32 However, GBM-derived EVs constitute a minority of EVs found in plasma samples24. Furthermore, important differences in surface markers and content have been found in subpopulations of EVs, raising the issue of whether EV biopsy would be better performed on an individual or bulk basis.20,24 Characterizing bulk populations of plasma-derived EVs via flow cytometry immunophenotyping may eliminate the need to isolate GBM-specific EVs, thus streamlining liquid biopsy in GBM. For example, our group has recently shown that t-distributed stochastic neighbor embedding (tSNE) reveals unique clustering features of EVs derived from the plasma of GBM patients versus healthy, normal donors (Figure 3). We have also used flow cytometry data to define unique EV subpopulations in GBM. Thus, utilizing spectral signatures of bulk plasma EVs may make liquid biopsy more accessible and efficient as the technique moves into the clinic.

Figure 3. Non-neoplastic plasma EV phenotype in GBM patients differs from normal donors (ND).

Figure 3.

(A) Multiparametric analysis of several non-neoplastic EV surface markers (CD9, CD11b, CD31, CD41a, CD45) and a measure of EV size (SSC) by t-distributed stochastic neighbor embedding (t-SNE) shows markedly different clustering features of GBM plasma EVs compared to ND. FlowSOM (self-organizing maps of flow cytometry data) analysis reveals 10 diverse EV populations, represented by different colors. (B) Heatmap illustrates the relative size (SSC) and surface marker expression level of each population. (C) FlowSOM also shows three unique EV populations (Pop0, Pop1 and Pop6) enriched in GBM patient plasma compared to ND.

2.2. RNA

RNAs hold much promise as surrogate biomarkers for cancer progression and therapeutic responses. A variety of tumor associated RNAs have been detected in peripheral blood, CSF, saliva, and urine.33,34 In GBM, RNA markers can be harvested in circulating cell-free form (ccfRNA), as well as extracted from circulating exosomes, platelets, and circulating tumor cells (CTCs).20,35,36 For such GBM associated RNAs, the leading candidate liquid biopsy samples are peripheral blood—with serum having a higher concentration than plasma37—and CSF because excreted biofluids are subjected to additional filtration and RNase degradation.33,38 Focused ultrasound (FUS) has been shown to facilitate the release of a wide variety of brain tumor biomarkers in animal models and MRI-guided FUS has been proposed as a modality to enhance the export of GBM associated RNAs across the human BBB.39 Alternatively, a recent study by Ita et al. found that the differentially expressed immune genes GZMB and HLA-A have a positive correlation between plasma- and glioma-derived messenger RNA (mRNA).40 This suggests that another mechanism for RNA biomarkers is from the immunological response to the glioblastoma, thereby circumventing the BBB.

Beyond protein-coding mRNA, posttranscriptional regulatory noncoding RNAs such as microRNA (miRNA) and circular RNA (circRNA) have been shown to be useful markers of glioblastoma burden due to their relative abundance, low molecular weight, and exosomal packaging, which may ease their egress from the CNS.41,42 Some oncogenic miRNAs such as miR-10b and miR-106a-5p are found in higher concentrations in the peripheral blood of glioblastoma patients.43,44 Tumor suppressor miRNAs, including miR-29a and miR-485–3p, decrease in circulation when glioblastoma progresses.45,46 Other miRNAs and circRNAs found in liquid biopsies are correlated with response to chemotherapy and radiation.47,48 Early studies indicate that miRNA signatures found in liquid biopsies may have similar utility in immunotherapy response predication and monitoring.49 Notably, the door is open to elucidate RNA markers prognostic of glioblastoma surgical resection outcomes.

Thus far, the poor sensitivity and specificity of individual RNA markers of glioblastoma have hampered its clinical adoption. Signatures consisting of multiple RNAs, particularly from CSF liquid biopsies, are likely the solution to this problem.50 Simply combining miR-21 with miR-15b expression yields a diagnostic assay that can differentiate glioblastoma from primary CNS lymphoma with 90% sensitivity and 100% specificity.51 Akers et al. have found a 9-miRNA signature that correlates with glioblastoma tumor volume, offering a CSF detection sensitivity and specificity of 67% and 80%, respectively.52 With larger transcriptomics profiles—RNA-seq of CTCs for example—network analysis can add interactome contexts to generate more robust signatures.53 Building more complex signatures of RNAs combined with other biomolecules discussed elsewhere in this review may offer even better liquid biopsy assays for glioblastoma.

2.3. Cell-free circulating tumor DNA

Cell-free circulating tumor DNA (ct-DNA) is released from glioblastoma cells and has garnered interest as a potential substrate for liquid biopsy in recent years. ctDNA is shed largely by apoptotic and necrotic cells via the action of DNAseIL3 and caspase-activated DNase, though some groups argue phagocytosis of tumor cells by macrophages may also contribute.54 ctDNA is made primarily of fragments approximately 140–180 base pairs in size,55 which approximates the 147 bp size of the nucleosome. ctDNA has been previously explored as a biomarker in cancers outside of the CNS. In a study of 640 patients with various tumor types, Bettegowda et. al. reported that ctDNA was detectable in the blood in >75% of patients with advanced breast, bladder, melanoma, and hepatocellular malignancies, versus less than 50% of primary brain tumors.56 Whether this low level of plasma ctDNA is due to the BBB remains a point of controversy as one study found that disruption of the BBB makes no impact on the ability of GBM cells to shed ctDNA,55 while other groups have shown that disruption of the BBB increases ctDNA in CSF/plasma and may increase detection specificity.54,57 ctDNA also possesses a half-life of < 2 hours, necessitating rapid sample processing for analysis.58

Despite these technical limitations, ctDNA is a potentially robust source of diagnostic and prognostic information in the setting of GBM. GBM patients have higher ctDNA concentrations in plasma and CSF compared to normal healthy controls.3 A high pre-operative ctDNA concentration is associated with less progression-free survival and worse overall survival outcomes in GBM.59 A recent meta-analysis by Kang et. al. found that the total diagnostic sensitivity and specificity of ctDNA assays for GBM was .69 and .98, respectively.60 Further, several studies have found that ctDNA levels correlate with features of tumor pathology (e.g. macrophage density, tumor vessel size) along with tumor size.54 Therefore, ctDNA levels may serve as an early detection for recurrence,6163 a means for tracking treatment response,58 and a way to differentiate pseudoprogression from true progression/recurrence.3,58

Importantly, ctDNA analysis may reveal tumor-specific mutations, enabling specific and minimally invasive study of the mutational topography of GBM tumors. Mutation types include point mutations, chromosomal and microsatellite changes, mutation/hypermethylation of promoter sequences, and gene-gene fusions. Commonly affected genes include the TERT promoter,62,64 EGFRvIII,65 TP53,61 MGMT,66 PDGFRA,66,67 PTEN,61,63,66 IDH,66,68 PIK3CA,56,61,66 and BRAF56,66, among others. Palande et. al. identified gene-gene fusions identifiable in ctDNA that incorporate tyrosine kinases and thus may be targeted by kinase inhibitors such as imatinib and sorafenib.67 Whereas invasive needle biopsy may fail to capture the genetic heterogeneity of GBM tumors, ctDNA has been shown to detect mutations that are not found in biopsy samples.3,63

ctDNA is consistently more easily identified in CSF than blood,68 and diagnostic accuracy of ctDNA obtained from CSF samples is higher.60 Though CSF collection via lumbar puncture is more invasive than a blood draw, it remains less invasive and prone to complications than surgical excision or biopsy. Interestingly, Mair et. al. has identified mitochondrial DNA (mtDNA) as a potential alternative DNA source in liquid biopsy; mtDNA is detectable in the urine as well as the serum and CSF.55 Upon receiving a sample, a variety of methods are used to analyze mutations in ctDNA samples65,66 mainly using methylation-based PCR, digital droplet PCR, and NGS, the adoption of which have respectively increased sensitivities of liquid biopsy in GBM.19 However, methods of isolating ctDNA vary between institutions, which may contribute to variations in findings and diagnostic accuracy.60 Thus, standardization of ctDNA isolation methodology will be crucial if its use in liquid biopsy is to be successfully introduced to the clinic.

2.4. Cell-based strategies

Alongside plasma biomarkers, the detection and quantification of circulating cells have been explored as a basis for liquid biopsy. Due to the compromise of the blood brain barrier in GBM, CTCs may enter into the bloodstream and be found in the periphery of GBM patients.11,69 Therefore, the isolation of CTCs serves as a direct means to obtain information regarding the GBM genome upon analysis with next generation sequencing.70 However, isolation of CTCs is a difficult technique that can further be confounded by a low yield of CTCs upon completion of isolation.69 Further, available research involving CTCs is limited by small sample sizes and the use different strategies of isolation, thereby precluding accurate comparisons to be drawn between studies.19

Alternatively, the investigation of global cell populations within the peripheral blood avoids the need to rely on detecting of a small population of CTCs or other individual biomarkers. The principle of this methodology rests on the notion that GBM produces systemic immunosuppressive effects despite never leaving the CNS.71 GBM itself is enriched in monocytes, which differentiate into myeloid-derived suppressor cells (MDSCs), non-classical monocytes (NCM), and M2 macrophages.71,72 These cells can then reenter circulation to exert their global immunosuppressive effects. Importantly, Giordano et al. demonstrated that there is an increase in CD163+ monocytes in GBM patients compared to normal healthy donors, which become CD163/FKBP51s+ in cases of residual tumor.72 Further, CD163/FKBP51s+ monocytes were significantly decreased in individuals with pseudoprogression compared to those with true progression. Similar to monocytes, platelets also infiltrate the tumor microenvironment and are capable of providing angiogenic factors for GBM growth. These platelets differentiate into tumor-educated platelets (TEP) that express higher levels VEGFR1/2 and vWF, which could further serve as a basis of liquid biopsy detection.73

III. Discussion and Conclusions

A variety of promising options exist for liquid biopsy in GBM, including approaches based on analysis of EVs, nucleic acids, tumor-derived cells, and circulating non-tumor cells (Table 1). In comparing the various liquid biopsy modalities, EVs are better equipped to cross the BBB than nucleic acids and remain in the peripheral circulation.11 DNA and RNA are present in higher levels in CSF and degrade quickly in the peripheral circulation, necessitating rapid transfer and analysis of patient samples.58 Thus, biopsies focused on cell-free tumor DNA and RNA are typically more successful using CSF, whereas EV-based biopsies are successful using a simple blood draw. Thus, EVs hold promise for blood-, plasma-, or serum-based liquid biopsy, which is significantly less invasive than a lumbar puncture or tumor biopsy. Furthermore, EVs contain a multitude of biomarkers—including nucleic acids, metabolites, and proteins—that can be used to create an “tumor signature” for each patient. Due to the heterogeneity of GBM tumors, this signature is likely to include multiple mutations that are undetectable by needle biopsy alone. EVs are also present in higher concentrations than CTCs, which are difficult to isolate and rare in the peripheral blood. It may be prudent to utilize CSF-based biopsies of e.g., nucleic acids or CTCs if an institution does not have access to EV isolation equipment or CSF collection can be accomplished during a requisite operation. Regardless of the method used, if liquid biopsy is to successfully transition to the clinic, standard isolation and analysis techniques are required. Validating experimental findings via well-designed prospective clinical trials will further demonstrate patient benefit of EV-based liquid biopsy.

Table 1.

Options for biomarkers in the development of liquid biopsy for GBM.

Biomarker/strategy type Brief description Strengths Limitations Future Applications
Extracellular vesicles Membrane-encapsulated
30 nm – 10 μm nanoparticles
Released by all cells
Found in many biofluids
Slow to degrade in peripheral circulation
Inconsistencies in EV nomenclature, isolation techniques
Tumor-derived EVs make up minority of plasma EVs
Flow cytometry signatures
Combination of biomarkers in EV signatures
Characterizing bulk EV populations
Cell-free RNA Cell-free, circulating RNA
Multiple subtypes (e.g., miRNA, circRNA)
RNA found in cell-free form as well as circulating exosome, platelets, and CTCs
Found in many biofluids
Up- and down-regulation of various RNAs in response to treatment
Poor sensitivity, specificity of individual RNA markers
RNase degradation in peripheral blood
Focused ultrasound to facilitate release of RNA, other biomarkers into blood
Immunotherapy response prediction, monitoring
miRNA biopsy signatures
Cell-free DNA Cell-free, circulating tumor DNA
140–180 bp fragments
Mutations reflective of GBM heterogeneity
High overall specificity (> 95%) and sensitivity depending on method of isolation (> 60–90%)
Degrades quickly in peripheral circulation (< 2 hours)
Higher concentration in CSF vs. blood
Use of mtDNA
Lumbar puncture-based biopsies in the hospital setting
Circulating tumor cells Tumor-derived cells present in peripheral circulation
Enter bloodstream following compromise of blood-brain barrier
Direct samples for whole-cell sequencing from the periphery
Complicated, time-consuming isolation technique
Low yield of isolation
Improving isolation techniques
Whole-cell sequencing
Circulating non-tumor cells Non-tumor-derived cells present in peripheral circulation (e.g., monocytes)
Properties changed by the presence of GBM
Possible to target multiple cell types
Analysis of whole blood vs. isolation of particular components
Analysis techniques still under development
Specific targets/cell types not yet established
Simple whole-blood biopsies of cell populations
Possible GBM blood signature with multiple cell types

Although biomarker-specific liquid biopsy shows great promise in providing detailed and specific information regarding the genotype of individual GBM patients, the subsequent isolation and analysis required for these techniques may be quite time intensive and costly. Therefore, future research has instead looked to develop overall signatures that can be used to detect GBM, rather than relying on the identification of individual biomarkers. As demonstrated by our group, the immunophenotype characterization of plasma EVs shows differences in EV populations between normal healthy donors and GBM patients (Figure 3). Similarly, immunophenotyping of white blood cells in GBM patients not only serves as a strategy to detect and monitor tumor size, but also provides information regarding individual responses to imunnotherapy.74 Other research has developed techniques to analyze serum without the need for further isolation or identification of blood components. Theakstone et al. demonstrated the use of spectroscopy in characterizing signatures of GBM patients with sensitivities and specificities greater than 88% for detection of GBM.75 Particularly, this strategy may serve as an effective first screening tool for GBM given that it does not rely on the detection of a small population of specific biomarkers.

While these strategies of rapid detection may serve a more prominent role in tumor detection and evaluation of tumor burden, alternative liquid biopsy strategies that detect changes in DNA, RNA, and tumor-derived EV cargo may be beneficial when designing individualized treatment regimens and evaluating treatment response. Indeed, cell-free tumor DNA displays excellent sensitivity in GBM.19,51 Therefore, the future of GBM patient care likely consists of a combination of various liquid biopsy options that can be employed depending on the question at hand. This variety of diagnostic modalities will ultimately allow for more discrete characterization of patient disease, use of more effective strategies, and improve patient outcomes and quality of life.

FUNDING:

S.M.B. and D.D.M. were supported by an institutional training grant from the National Institute of General Medical Sciences (T32 GM65841) and the Mayo Clinic Medical Scientist Training Program. D.D.M. was also supported by an individual fellowship from the National Cancer Institute (F30 CA250122) and the Mayo Clinic Center for Regenerative Medicine.

Footnotes

CONFLICTS OF INTEREST: The authors declare that they have no conflict of interest.

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