Genetic Mutation Patterns Among Glioblastoma Patients in the Taiwanese Population – Insights from a Single Institution Retrospective Study

Author:

Shen Chiung-Chyi1ORCID,Hung Yu-Fen,Chiao Ming-Tsang,Hsiao Tzu-Hung,Zhan Yong-Xiang,Chen Tse-Yu,Lee Chung-Hsin,Liao Chih-Hsiang,Cheng Wen-Yu,Yen Chun-Ming,Chen Jun-Peng,Lai Chih-Ming,Yang Meng-Yin

Affiliation:

1. Veterans General Hospital, Taichung

Abstract

Abstract This study employed NGS to investigate genetic factors influencing extended (A: over two years) versus abbreviated (B: under two years) survival in GBM. We analyzed 30 treatment-naïve GBM patients, categorizing them into two groups: over two years (N = 17) and under two years (N = 13) survival. The ClinVar database aided in confirming pathogenic or likely pathogenic variants. The cohort, aged 23 to 66 (median: 53), included 17 patients in Group A (survival > 2 years, 10 males, 7 females), and 13 patients in Group B (survival < 2 years, 8 males, 5 females), with a 60–40% male-to-female ratio. Identified mutations included CHEK2 (c.1477G > A, p.E493K), IDH1 (c.395G > A, p.R132H), and TP53 mutations. Non-coding regions exhibited variants in the TERT promoter (c.-146C > T, c.-124C > T) and TP53 RNA splicing site (c.376-2A > C, c.376-2A > G). While Group A had more mutations, statistical significance wasn't reached, likely due to sample size. Notably, TP53, and ATR displayed a trend toward significance. Surprisingly, TP53 mutations were more prevalent in Group A, contradicting Western findings on poorer GBM prognosis. In Taiwanese GBM patients, bevacizumab usage is linked to improved survival rates, affirming its safety and effectiveness. EGFR mutations are infrequent, suggesting potential distinctions in carcinogenic pathways. Further research on EGFR mutations and amplifications is essential for refining therapeutic approaches. TP53 mutations are associated with enhanced survival, but their functional implications necessitate detailed exploration. This study pioneers genetic analysis in Taiwanese GBM patients using NGS, advancing our understanding of their genetic landscape.

Publisher

Research Square Platform LLC

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