EventsThe 1st International Online Conference on Personalized Medicine
Published
This submission belongs to the session S6. Precision Oncology of the event The 1st International Online Conference on Personalized Medicine
Published date
24 Oct, 2025
Academic Editor
author-avatarMasakazu Kamata
Citation
Aditya Vayalapalli, Amoolya Vayalapalli, Pathway Analysis of Chemoresistance in Glioblastoma Multiforme , in Proceedings of The 1st International Online Conference on Personalized Medicine, 29 October–31 October 2025, MDPI: Basel, Switzerland
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Pathway Analysis of Chemoresistance in Glioblastoma Multiforme

Amoolya Vayalapalli 2
1. College of Liberal Arts and Sciences, Mercer University, Macon Campus, Macon, 31207, United States of America, USA
2. Medical College of Georgia at Augusta University, Augusta University/University of Georgia Medical Partnership, Athens, GA, 30602, United States of America, USA
Abstract

Glioblastoma multiforme (GBM) is the most aggressive and common brain tumor, with an annual incidence of 3.19 per 100,000 people. Chemoresistance is a major issue in the treatment of GBM with therapeutics like temozolomide (TMZ), especially because of the challenges in making chemotherapeutics that can overcome the blood–brain barrier. Cancer stem cells, mechanisms of protein folding, drug pumps, and the tumor microenvironment have been noted as contributing to chemoresistance in GBM, but its precise molecular mechanisms remain unknown. Differential gene expression data from GSE140441 and GSE98126 was extracted from GEO2R, and we investigated the genes differentially expressed at the p<0.05 level between a control group of non-resistant subtypes and an experimental group of GBM cells cultured in TMZ to determine which could confer chemoresistance. The differentially expressed genes were identified and compiled using the dplyr package in R. These genes were submitted for DAVID functional annotation clustering. Clusters were analyzed for their significance at p<.05. From the differential expression studies, 1,980 genes were identified and used to conduct DAVID functional annotation clustering. From these genes, 101 functional annotation clusters were identified. Notably, many clusters responsible for mRNA regulation, as well as the clusters regulating conjugation of ubiquitin-like protein (p=1.2E-17) and cadherin binding (p=1.9E-5) clusters, were significantly differentially expressed in chemoresistant GBM. Targeting pathways related to conjugation of ubiquitin-like protein and cadherin binding, as well as other mechanisms of protein breakdown, might further our understanding of the mechanism of chemoresistance in GBM while also improving the clinical utility of treatments. Certain FDA-approved drugs that target both the ubiquitin-like protein degradation pathway and DNA synthesis, including mitoxantrone, 6-mercaptopurine, and 6-thioguanine, should be explored for possible use as drugs to sensitize chemoresistant GBM. Inhibition of the cadherin binding pathway may also be a novel method of overcoming adaptive mechanisms in GBM.

Keywords
Glioblastoma Multiforme
chemoresistance
clinical application
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