Unknown

Dataset Information

Multivariate Risk Analysis of RAS, BRAF and EGFR Mutations Allelic Frequency and Coexistence as Colorectal Cancer Predictive Biomarkers.


ABSTRACT:

Background

Biomarker profiles should represent a coherent description of the colorectal cancer (CRC) stage and its predicted evolution.

Methods

Using droplet digital PCR, we detected the allelic frequencies (AF) of KRAS, NRAS, BRAF, and EGFR mutations from 60 tumors. We employed a pair-wise association approach to estimate the risk involving AF mutations as outcome variables for clinical data and as predicting variables for tumor-staging. We evaluated correlations between mutations of AFs and also between the mutations and histopathology features (tumor staging, inflammation, differentiation, and invasiveness).

Results

KRAS G12/G13 mutations were present in all patients. KRAS Q61 was significantly associated with poor differentiation, high desmoplastic reaction, invas

SUBMITTER: Ionescu A 

PROVIDER: S-EPMC9179415 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature