Association of plasma biomarkers with recurrence in glioblastoma.

M Miyo K. Chatanaka (University of Toronto, Toronto, ON, Canada) A Andrew Ajisebutu (University Health Network, Toronto, ON, Canada) L Leonardo Macedo Filho (Penn State College of Medicine, Hershey, PA) L Lisa Avery M Mingyue Wang (Department of Chemistry, Mechanical Engineering and School of Biomedical Sciences) C Catherine Demos (Meso Scale Diagnostics, LLC., Rockville, MD) J Jermaine Brown (Meso Scale Diagnostics, LLC., Rockville, MD) T Taron Gorham (Meso Scale Diagnostics, LLC., Rockville, MD) S Salvia Misaghian N Nikhil Padmanabhan (Meso Scale Diagnostics, LLC., Rockville, MD) D Daniel Romero (Meso Scale Diagnostics, LLC., Rockville, MD) M Martin Stengelin (Meso Scale Diagnostics, LLC., Rockville, MD) A Anu Mathew (Meso Scale Diagnostics, LLC., Rockville, MD) G George Sigal J Jacob Wohlstadter (Meso Scale Diagnostics, LLC., Rockville, MD) C Craig Horbinski (Department of Pathology, Northwestern University, Chicago, IL) K Kathleen McCortney G Gelareh Zadeh A Alireza Mansouri E Eleftherios P. Diamandis (Sinai Health System, Toronto, ON, Canada)

Abstract

e14017 Background: Adult-type diffuse gliomas are common malignant tumors known for their high recurrence rates, regardless of grade. High recurrence is due to incomplete resection of the tumors and the infiltrative nature of the tumor cells. Unfortunately, prediction of recurrence relies solely on MRI, a method that is expensive and susceptible to errors, treatment and pseudo-progression effects. Capturing recurrence prior to MRI is an unmet clinical need and could allow for earlier intervention or enrolment of patients into clinical trials. Liquid biopsy has emerged as a promising approach. Methods: Previously collected patient plasma was retrieved from three sites: Northwestern University Tumor Biobank, Penn State Neuroscience Biorepository and University Health Network Biobank (Cross-sectional samples(all primary vs all recurrent) n = 264, patients with multiple samples (longitudinal) n = 44; Groups = Glioblastoma (GBM), astrocytoma, oligodendroglioma) and analyzed retrospectively for seven proteomic markers: GFAP, NEFL, FABP4, MMP1, MMP3, MMP9 and total tau (tTau) using research-use-only electrochemiluminescence assays available from Meso Scale Discovery. For the cross-sectional analysis (independent samples per patient), Wilcoxon rank sum test with post hoc Holm’s correction was used to compare biomarker values in samples from individuals with primary and recurrent tumors, after adjusting for sex differences. For the longitudinal analysis of paired primary and recurrence samples, Wilcoxon signed-rank test was used. Survival probability was tested through Kaplan-Meier survival curves. Results: In the cross-sectional analysis of the diffuse gliomas (GBM = 77+129 [Batch 1 + Batch 2], Oligodendroglioma = 23 +11, Astrocytoma = 26 + 25), we found that in the GBM group, the median values of MMP9 and GFAP were lower during recurrence. The median NEFL value was higher during GBM recurrence but did not achieve statistical significance, although the same effect was observed in the longitudinal analysis. In survival analyses, higher MMP3 and MMP9 in primary case samples across all diffuse gliomas were significantly associated with poorer survival, but this significance was lost during recurrence, indicating potentially important differences between a primary and a recurrent state. Conclusions: This cross-sectional and longitudinal retrospective pilot study evaluated seven plasma markers for the potential capability of predicting tumor recurrence in adult-type diffuse gliomas. While we found no significant differences across diffuse gliomas overall, subgroup analyses revealed recurrence-associated patterns. These findings suggest that certain markers could complement imaging for recurrence detection and perhaps prediction. Larger and more comprehensive studies are warranted.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

M

Miyo K. Chatanaka

University of Toronto, Toronto, ON, Canada

A

Andrew Ajisebutu

University Health Network, Toronto, ON, Canada

L

Leonardo Macedo Filho

Penn State College of Medicine, Hershey, PA

L

Lisa Avery

M

Mingyue Wang

Department of Chemistry, Mechanical Engineering and School of Biomedical Sciences

C

Catherine Demos

Meso Scale Diagnostics, LLC., Rockville, MD

J

Jermaine Brown

Meso Scale Diagnostics, LLC., Rockville, MD

T

Taron Gorham

Meso Scale Diagnostics, LLC., Rockville, MD

S

Salvia Misaghian

N

Nikhil Padmanabhan

Meso Scale Diagnostics, LLC., Rockville, MD

D

Daniel Romero

Meso Scale Diagnostics, LLC., Rockville, MD

M

Martin Stengelin

Meso Scale Diagnostics, LLC., Rockville, MD

A

Anu Mathew

Meso Scale Diagnostics, LLC., Rockville, MD

G

George Sigal

J

Jacob Wohlstadter

Meso Scale Diagnostics, LLC., Rockville, MD

C

Craig Horbinski

Department of Pathology, Northwestern University, Chicago, IL

K

Kathleen McCortney

G

Gelareh Zadeh

A

Alireza Mansouri

E

Eleftherios P. Diamandis

Sinai Health System, Toronto, ON, Canada