Related Experiment Video
Updated: Nov 26, 2025
13:24
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
12.1K
Quantifying the influence of mutation detection on tumour subclonal reconstruction
Lydia Y Liu1,2,3,4,5,6, Vinayak Bhandari1, Adriana Salcedo1,4,5,6,7
1Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Nature Communications
|December 8, 2020
Summary
Whole-genome sequencing analysis of tumor evolution reveals significant variability across different computational pipelines. These tools often underestimate tumor heterogeneity, especially when using single samples, urging caution in interpreting results.
Area of Science:
- Genomics
- Cancer Biology
- Computational Biology
Background:
- Whole-genome sequencing (WGS) enables the study of intra-tumoural heterogeneity (ITH) and its link to clinical outcomes.
- Numerous algorithms exist for subclonal reconstruction, but their comparative performance and consistency remain largely uncharacterized.
Purpose of the Study:
- To evaluate the variability and consistency of sixteen subclonal reconstruction pipelines using single-sample WGS data from 293 localized prostate cancers.
- To assess eighteen pipelines for subclonal reconstruction using multi-region sampling data from 10 tumors.
- To identify biases and underestimation of ITH in single-sample analyses compared to multi-region sequencing.
Main Methods:
- Comparative analysis of sixteen computational pipelines for subclonal architecture reconstruction from single-sample WGS data.
- Evaluation of eighteen pipelines using multi-region WGS data from matched tumor samples.
- Assessment of pipeline performance in predicting subclonal populations and somatic mutation timing.
Main Results:
- Significant variability observed in subclonal architecture and somatic mutation timing predictions across pipelines.
- Consistent biases identified: pipelines using SomaticSniper and Battenberg tended to predict homogenous populations, while MuTect-based pipelines favored multiple populations.
- Single-sample reconstructions systematically underestimated ITH, identifying fewer than half the cancer cell populations detected by multi-region sequencing.
Conclusions:
- Substantial discrepancies exist in subclonal reconstruction across different computational pipelines.
- Single-sample WGS analyses tend to underestimate intra-tumoural heterogeneity, potentially impacting clinical outcome correlations.
- Caution is advised when interpreting specific subclonal architectures and variants derived from computational analyses, particularly from single-sample data.
Related Concept Videos
01:20Mismatch Repair
5.9K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
5.9K
02:21Cancers Originate from Somatic Mutations in a Single Cell
13.7K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
13.7K