Unknown

Dataset Information

Unveiling MAGEA3: a novel predictive biomarker for bevacizumab resistance in colorectal cancer.


ABSTRACT: Aim: Bevacizumab has long been a cornerstone in the treatment of colorectal cancer (CRC), serving as a fundamental antiangiogenic therapeutic option. However, a significant proportion of patients exhibit insensitivity to bevacizumab, and no reliable biomarker has been established to predict treatment efficacy. Notably, while many angiogenic factors in tumors have been extensively studied, they have failed to consistently demonstrate reliable predictive value for patient survival outcomes in CRC. This study is designed to screen tumor biomarkers with predictive value for bevacizumab resistance in CRC. Methods: Online CRC databases with bevacizumab treatment were downloaded from the GEO datasets along with the TCGA database, which were then analyzed to generate genes overexpres

SUBMITTER: Su J 

PROVIDER: S-EPMC12059477 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets