Effect of Transcriptome Regulation on Glioblastoma Patient Survival

AJAS · 2020 Biomedical and Health Sciences (inferred)

Overview

Glioblastoma is the most common primary brain tumor in adults. Patients have a poor outcome with a median survival time of 12 months; the disease is always fatal. Long non-coding RNAs have been shown to play an important role in regulating gene expression, but their significance in glioblastomas is unclear. This study aimed to identify long non-coding RNA associated with the survival time of glioblastoma patients. The R package DESeq2 quantified the relative differential expression of aligned long non-coding RNA. The package was used to normalize glioblastoma data from The Cancer Genome Atlas to determine the long non-coding RNAs differentially expressed (q-value < 0.01) between short-term survivors (n=46, overall survival < 9 months) and long-term survivors (n=30, overall survival > 18 months). Eleven long non-coding RNAs differentially expressed in glioblastoma patients were identified. LOXL1-2 and LOXL1-AS1 were highly expressed among short-term survivors. Understanding the role of transcriptomics in gene expression is critical for gaining insight into improved targeted drug treatment. Further directions include statistically analyzing long non-coding RNA in other independent data sets and biologically validating the impact of long non-coding RNA on gene expression and protein abundance.

Competition history

  • AJAS 2020 Category not listed

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Source: AAAS Annual Meeting (Confex) / American Junior Academy of Science

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