Cell-free plasma microRNAs that identify patients with glioblastoma.

Authors

Matias A Bustos, Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John's Health Center, Santa MonicaFollow
Negin Rahimzadeh, Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.Follow
Suyeon Ryu, Department of Genome Sequencing, SJCI at Providence SJHC, Santa Monica, CA, 90404, USA.Follow
Rebecca Gross, Department of Translational Molecular Medicine, Saint John's Cancer Institute (SJCI) at Providence Saint John's Health Center (SJHC), Santa Monica, CA, 90404, USA.Follow
Linh T Tran, Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA 90404, USA.Follow
Victor M Renteria-Lopez, Department of Genome Sequencing, SJCI at Providence SJHC, Santa Monica, CA, 90404, USA.Follow
Romela Irene Ramos, John Wayne Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, USAFollow
Amy Eisenberg, Pacific Neuroscience Institute (PNI), Providence SJHC, Santa Monica, CA, 90404, USA.Follow
Parvinder Hothi, Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA 98122, USAFollow
Santosh Kesari, Department of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute/Pacific Neuroscience Institute, 2200 Santa Monica Boulevard, Santa Monica, CA, 90404, USAFollow
Garni Barkhoudarian, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, California, USA.Follow
Yuki Takasumi, Department of Pathology, Providence Saint John's Health Center, Santa Monica, CaliforniaFollow
Charles Cobbs, The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience InstituteFollow
Daniel F Kelly, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, California, USA.Follow
Dave Hoon, Department of Translational Molecular Medicine, Saint John's Cancer Institute (SJCI) at Providence Saint John's Health Center (SJHC), Santa Monica, CA, 90404, USA.Follow

Document Type

Article

Publication Date

1-10-2022

Publication Title

Laboratory investigation; a journal of technical methods and pathology

Keywords

california; santa monica; sjci; sjhc

Abstract

Glioblastoma (GBM) is still one of the most commonly diagnosed advanced stage primary brain tumors. Current treatments for patients with primary GBM (pGBM) are often not effective and a significant proportion of the patients with pGBM recur. The effective treatment options for recurrent GBM (rGBM) are limited and survival outcomes are poor. This retrospective multicenter pilot study aims to determine potential cell-free microRNAs (cfmiRs) that identify patients with pGBM and rGBM tumors. 2,083 miRs were assessed using the HTG miRNA whole transcriptome assay (WTA). CfmiRs detection was compared in pre-operative plasma samples from patients with pGBM (n = 32) and rGBM (n = 13) to control plasma samples from normal healthy donors (n = 73). 265 cfmiRs were found differentially expressed in plasma samples from pGBM patients compared to normal healthy donors (FDR < 0.05). Of those 193 miRs were also detected in pGBM tumor tissues (n = 15). Additionally, we found 179 cfmiRs differentially expressed in rGBM, of which 68 cfmiRs were commonly differentially expressed in pGBM. Using Random Forest algorithm, specific cfmiR classifiers were found in the plasma of pGBM, rGBM, and both pGBM and rGBM combined. Two common cfmiR classifiers, miR-3180-3p and miR-5739, were found in all the comparisons. In receiving operating characteristic (ROC) curves analysis for rGBM miR-3180-3p showed a specificity of 87.7% and a sensitivity of 100% (AUC = 98.5%); while miR-5739 had a specificity of 79.5% and sensitivity of 92.3% (AUC = 90.2%). This study demonstrated that plasma samples from pGBM and rGBM patients have specific miR signatures. CfmiR-3180-3p and cfmiR-5739 have potential utility in diagnosing patients with pGBM and rGBM tumors using a minimally invasive blood assay.

Clinical Institute

Cancer

Clinical Institute

Neurosciences (Brain & Spine)

Department

Neurosciences

Department

Oncology

Recommended Citation

Bustos, Matias A; Rahimzadeh, Negin; Ryu, Suyeon; Gross, Rebecca; Tran, Linh T; Renteria-Lopez, Victor M; Ramos, Romela Irene; Eisenberg, Amy; Hothi, Parvinder; Kesari, Santosh; Barkhoudarian, Garni; Takasumi, Yuki; Cobbs, Charles; Kelly, Daniel F; and Hoon, Dave, "Cell-free plasma microRNAs that identify patients with glioblastoma." (2022). Articles, Abstracts, and Reports. 5727.
https://digitalcommons.providence.org/publications/5727