U.S., Nov. 11 -- ClinicalTrials.gov registry received information related to the study (NCT07226115) titled 'Splicing-based Predictive Learning for Individual Chemotherapy Evaluation in Colorectal Cancer' on Nov. 03.
Brief Summary: Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide. Although adjuvant chemotherapy improves survival after curative resection, its efficacy varies widely among patients. The absence of reliable predictive biomarkers often leads to overtreatment or undertreatment.
This study aims to develop a machine learning-based predictive model for adjuvant chemotherapy response using tumor-derived alternative splicing signatures.
By integrating RNA-seq data, splicing isoform and...