Literature DB >> 22492649

Estimating the order of mutations during tumorigenesis from tumor genome sequencing data.

Ahrim Youn1, Richard Simon.   

Abstract

MOTIVATION: Tumors are thought to develop and evolve through a sequence of genetic and epigenetic somatic alterations to progenitor cells. Early stages of human tumorigenesis are hidden from view. Here, we develop a method for inferring some aspects of the order of mutational events during tumorigenesis based on genome sequencing data for a set of tumors. This method does not assume that the sequence of driver alterations is the same for each tumor, but enables the degree of similarity or difference in the sequence to be evaluated.
RESULTS: To evaluate the new method, we applied it to colon cancer tumor sequencing data and the results are consistent with the multi-step tumorigenesis model previously developed based on comparing stages of cancer. We then applied the new method to DNA sequencing data for a set of lung cancers. The model may be a useful tool for better understanding the process of tumorigenesis. AVAILABILITY: The software is available at: http://linus.nci.nih.gov/Data/YounA/OrderMutation.zip.

Entities:  

Mesh:

Year:  2012        PMID: 22492649      PMCID: PMC3465102          DOI: 10.1093/bioinformatics/bts168

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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