Unknown

Dataset Information

Comprehensive somatic mutational analysis in glioblastoma: Implications for precision medicine approaches.


ABSTRACT: Glioblastoma multiforme (GBM), a malignant neoplasm originating from glial cells, remains challenging to treat despite the current standard treatment approach that involves maximal safe surgical resection, radiotherapy, and adjuvant temozolomide chemotherapy. This underscores the critical need to identify new molecular targets for improved therapeutic interventions. The current study aimed to explore the somatic mutations and potential therapeutic targets in GBM using somatic mutational information from four distinct GBM datasets including CGGA, TCGA, CPTAC and MAYO-PDX. The analysis included the evaluation of whole exome sequencing (WES) of GBM datasets, tumor mutation burden assessment, survival analysis, drug sensitivity prediction, and examination of domain-specific amino acid changes.

SUBMITTER: Azimi P 

PROVIDER: S-EPMC10760858 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature