Related Experiment Video
Updated: Jul 25, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Higher local recurrence as the distinct failure pattern in early-onset rectal cancer: a tailored MRI score to guide
Yunrui Ye1,2,3, Ke Zhao2,3,4,5, Lili Feng6,7
1Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Abstract:
The unique biology of early-onset locally advanced rectal cancer (EOLARC) may drive distinct failure patterns, challenging current age-agnostic management. This multicenter retrospective study aimed to define these patterns compared to late-onset disease (LOLARC) and develop a tailored magnetic resonance imaging (MRI)-based risk score. We analyzed 1289 patients undergoing neoadjuvant chemoradiotherapy and surgery. After propensity score matching, EOLARC patients exhibited higher local recurrence rates (4.9% vs. 1.7%; P = 0.03) despite similar pathological complete response (pCR) rates (25.5% vs. 21.2%; P = 0.22). The novel mrTML score (incorporating tumor deposits, mesorectal fascia, and lateral lymph nodes) effectively predicted local recurrence (adjusted hazard ratio for score 3 vs. 0, 33.99). Notably, high pre-treatment risk persisted even among patients achieving pCR (HR 12.02; P = 0.003), highlighting failure patterns uncaptured by pathological response. The mrTML score is a robust tool to identify patients at high risk for local recurrence, providing an evidence-based framework for risk-adapted therapy.
More Related Videos
06:08A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025