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Cancer

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.

Cancers Originate from Somatic Mutations in a Single Cell

Cancers Originate from Somatic Mutations in a Single Cell

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...

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Related Experiment Video

Updated: May 7, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Network-based stratification of tumor mutations.

Matan Hofree¹, John P Shen, Hannah Carter

¹Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA.

|September 17, 2013

Summary

This summary is machine-generated.

Network-based stratification (NBS) uncovers cancer subtypes by analyzing tumor genomes and gene networks. This method identifies patient groups with similar mutations, predicting clinical outcomes and informing targeted therapies.

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

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Last Updated: May 7, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

Cancer heterogeneity presents challenges in diagnosis and treatment.
Somatic tumor genome sequencing offers insights but is difficult to compare due to mutation variability.

Purpose of the Study:

To introduce Network-Based Stratification (NBS) for integrating somatic tumor genomes with gene networks.
To stratify cancer into informative subtypes based on mutations in similar network regions.
To demonstrate the clinical utility of NBS in ovarian, uterine, and lung cancer.

Main Methods:

Developed and applied Network-Based Stratification (NBS) to The Cancer Genome Atlas (TCGA) cohorts.
Clustered patients based on mutations within specific gene network regions.
Correlated identified subtypes with clinical outcomes (survival, therapy response, histology).

Main Results:

NBS successfully stratified ovarian, uterine, and lung cancer cohorts into distinct subtypes.
Identified subtypes were predictive of patient survival, therapy response, and tumor histology.
Network regions associated with each subtype were characterized.
A mutation-derived mRNA expression signature was trained, mirroring NBS subtype information.

Conclusions:

Network-Based Stratification (NBS) is a powerful method for uncovering cancer subtypes from genomic data.
NBS-identified subtypes offer valuable prognostic and predictive information.
This approach facilitates the development of diagnostic and therapeutic strategies, even in the absence of DNA sequence data.