Establish a novel tumor budding-related signature to predict prognosis and guide clinical therapy in colorectal cancer.

ABSTRACT: Tumor budding is a long-established independent adverse prognostic marker for colorectal cancer (CRC), yet assessment of tumor budding was not reproducible. Therefore, development of precise diagnostic approaches to tumor budding is in demand. In this study, we first performed bioinformatic analysis in our single-center CRC patients' cohort (n = 84) and identified tumor budding-associated hub genes using the weighted gene co-expression network analysis (WGCNA). A machine learning methodology was used to identify hub genes and construct a prognostic signature. Nomogram model was used to identified hub genes score for tumor budding, and the receiver operating characteristic (ROC) curve and calibration plot indicated high accuracy and stability of hub gene score for predicted the prognosis of

SUBMITTER: Li Q 

PROVIDER: S-EPMC10810877 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature