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Related Experiment Video

Updated: Apr 17, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Big Bang and context-driven collapse.

Mark Robertson-Tessi¹, Alexander R A Anderson¹

¹Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.

Nature Genetics

|February 26, 2015

Summary

This summary is machine-generated.

Colorectal cancers develop key mutations early. Later mutations, even beneficial ones, rarely dominate the tumor, impacting cancer progression and treatment failure.

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Last Updated: Apr 17, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

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Published on: December 10, 2012

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

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Published on: January 30, 2018

Split-BioID — Proteomic Analysis of Context-specific Protein Complexes in Their Native Cellular Environment

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Published on: April 20, 2018

Area of Science:

Oncology
Genetics
Cancer Biology

Background:

Tumor heterogeneity is a major driver of cancer progression and treatment resistance.
The timing and origin of cancer-driving mutations remain poorly understood.

Purpose of the Study:

To investigate the developmental timing of dominant mutation acquisition in colorectal cancer.
To understand the impact of subsequent mutations on tumor evolution.

Main Methods:

Analysis of colorectal cancer genomes.
Computational modeling of tumor evolution.

Main Results:

Colorectal tumors acquire their primary, dominant mutations early in their development.
Subsequent mutations, even those conferring a fitness advantage, are unlikely to replace established early mutations.
This suggests a critical window for early genetic events in shaping tumor trajectory.

Conclusions:

The early acquisition of dominant mutations significantly constrains subsequent tumor evolution in colorectal cancer.
Understanding the timing of mutation emergence is crucial for developing effective cancer therapies targeting heterogeneity.