A p53 transcriptional signature in primary and metastatic cancers derived using machine learning.

ABSTRACT: The tumor suppressor gene, TP53, has the highest rate of mutation among all genes in human cancer. This transcription factor plays an essential role in the regulation of many cellular processes. Mutations in TP53 result in loss of wild-type p53 function in a dominant negative manner. Although TP53 is a well-studied gene, the transcriptome modifications caused by the mutations in this gene have not yet been explored in a pan-cancer study using both primary and metastatic samples. In this work, we used a random forest model to stratify tumor samples based on TP53 mutational status and detected a p53 transcriptional signature. We hypothesize that the existence of this transcriptional signature is due to the loss of wild-type p53 function and is universal across pri

SUBMITTER: Keshavarz-Rahaghi F 

PROVIDER: S-EPMC9483853 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature