Related Experiment Video
Updated: Feb 5, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
The evolutionary landscape of colorectal tumorigenesis
William Cross1,2, Michal Kovac2,3, Ville Mustonen4
1Evolution and Cancer Laboratory, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
None:
The evolutionary events that cause colorectal adenomas (benign) to progress to carcinomas (malignant) remain largely undetermined. Using multi-region genome and exome sequencing of 24 benign and malignant colorectal tumours, we investigate the evolutionary fitness landscape occupied by these neoplasms. Unlike carcinomas, advanced adenomas frequently harbour sub-clonal driver mutations-considered to be functionally important in the carcinogenic process-that have not swept to fixation, and have relatively high genetic heterogeneity. Carcinomas are distinguished from adenomas by widespread aneusomies that are usually clonal and often accrue in a 'punctuated' fashion. We conclude that adenomas evolve across an undulating fitness landscape, whereas carcinomas occupy a sharper fitness peak, probably owing to stabilizing selection.
More Related Videos
10:54Isolation of Human Endothelial Cells from Normal Colon and Colorectal Carcinoma - An Improved Protocol
Published on: April 4, 2018
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Related Concept Videos
What is Evolutionary History?
Evolutionary Psychology
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
Evolutionary Relationships through Genome Comparisons
The Tree of Life - Bacteria, Archaea, Eukaryotes
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...