Related Experiment Video
Updated: Apr 17, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Left-sided early-onset vs late-onset colorectal carcinoma: histologic, clinical, and molecular differences
Emanuela Pilozzi1, Carmen Maresca2, Enrico Duranti3
1From the Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, University of Rome "La Sapienza," Rome, Italy; emanuela.pilozzi@uniroma1.it.
Objectives:
Carcinomas of the left colon represent a neoplasm of older patients (late onset), but epidemiologic evidence has been showing an increasing incidence in patients 50 years or younger (early onset). In this study, we investigate pathologic and molecular features of early- and late-onset carcinoma of the left colon.
Methods:
We selected 22 patients 50 years or younger and 21 patients 70 years or older with left-sided colorectal carcinoma (CRC). All samples were evaluated for pathologic features, microsatellite instability, and KRAS and BRAF mutations. Moreover, both groups were analyzed to identify CpG island methylator phenotype features and assessed with restriction landmark genome scanning (RLGS) to unveil differential DNA methylation patterns.
Results:
Early-onset patients had advanced pathologic stages compared with late-onset patients (P = .0482). All cases showed a microsatellite stable profile and BRAF wild-type sequence. Early-onset patients (43%) more frequently had mutations at KRAS codon 12 compared with late-onset patients (14%) (P =.0413). RLGS showed that patients younger than 50 years who had CRC had a significantly lower percentage of methylated loci than did patients 70 years or older (P = .04124), and differential methylation of several genomic loci was observed in the two groups.
Conclusions:
Our results suggest that left-sided CRCs may present differential patterns of aberrant DNA methylation when they are separated by age.
More Related Videos
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
11:20Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology
Published on: March 21, 2018