A serum-based DNA methylation assay provides accurate detection of glioma

Author:

Sabedot Thais S12,Malta Tathiane M12,Snyder James123,Nelson Kevin1,Wells Michael12,deCarvalho Ana C1,Mukherjee Abir4,Chitale Dhananjay A4,Mosella Maritza S2,Sokolov Artem5ORCID,Asmaro Karam P12ORCID,Robin Adam1,Rosenblum Mark L1,Mikkelsen Tom1,Rock Jack1,Poisson Laila M6ORCID,Lee Ian1,Walbert Tobias13,Kalkanis Steven1,Iavarone Antonio7,Castro Ana Valeria12,Noushmehr Houtan12ORCID

Affiliation:

1. Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan, USA

2. Omics Laboratory, Henry Ford Health System, Detroit, Michigan, USA

3. Department of Neuro Oncology, Henry Ford Health System, Detroit, Michigan, USA

4. Department of Pathology, Henry Ford Health System, Detroit, Michigan, USA

5. Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts, USA

6. Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA

7. Institute for Cancer Genetics, Department of Pathology and Cell Biology, Department of Neurology, Columbia University Medical Center, New York, New York, USA

Abstract

Abstract Background The detection of somatic mutations in cell-free DNA (cfDNA) from liquid biopsy has emerged as a noninvasive tool to monitor the follow-up of cancer patients. However, the significance of cfDNA clinical utility remains uncertain in patients with brain tumors, primarily because of the limited sensitivity cfDNA has to detect real tumor-specific somatic mutations. This unresolved challenge has prevented accurate follow-up of glioma patients with noninvasive approaches. Methods Genome-wide DNA methylation profiling of tumor tissue and serum cfDNA of glioma patients. Results Here, we developed a noninvasive approach to profile the DNA methylation status in the serum of patients with gliomas and identified a cfDNA-derived methylation signature that is associated with the presence of gliomas and related immune features. By testing the signature in an independent discovery and validation cohorts, we developed and verified a score metric (the “glioma-epigenetic liquid biopsy score” or GeLB) that optimally distinguished patients with or without glioma (sensitivity: 100%, specificity: 97.78%). Furthermore, we found that changes in GeLB score reflected clinicopathological changes during surveillance (eg, progression, pseudoprogression, and response to standard or experimental treatment). Conclusions Our results suggest that the GeLB score can be used as a complementary approach to diagnose and follow up patients with glioma.

Funder

Department of Defense

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Clinical Neurology,Oncology

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