Personalized targeted therapy prescription in colorectal cancer using algorithmic analysis of RNA sequencing data.

ABSTRACT:

Background

Overall survival of advanced colorectal cancer (CRC) patients remains poor, and gene expression analysis could potentially complement detection of clinically relevant mutations to personalize CRC treatments.

Methods

We performed RNA sequencing of formalin-fixed, paraffin-embedded (FFPE) cancer tissue samples of 23 CRC patients and interpreted the data obtained using bioinformatic method Oncobox for expression-based rating of targeted therapeutics. Oncobox ranks cancer drugs according to the efficiency score calculated using target genes expression and molecular pathway activation data. The patients had primary and metastatic CRC with metastases in liver, peritoneum, brain, adrenal gland, lymph nodes and ovary. Two patients had mutations in NRAS, seven others had m

SUBMITTER: Sorokin M 

PROVIDER: S-EPMC9623986 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature