Mining mutation contexts across the cancer genome to map tumor site of origin

Mining mutation contexts across the cancer genome to map tumor site of origin

The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.

Bibliographic Details
Main Authors: Saptarshi Chakraborty, Axel Martin, Zoe Guan, Colin B. Begg, Ronglai Shen
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23094-z
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spelling doaj-b01f12ed70af4a0e98b2eb41a7bf93032021-05-30T11:13:30ZengNature Publishing GroupNature Communications2041-17232021-05-0112111310.1038/s41467-021-23094-zMining mutation contexts across the cancer genome to map tumor site of originSaptarshi Chakraborty0Axel Martin1Zoe Guan2Colin B. Begg3Ronglai Shen4Department of Biostatistics, State University of New York at BuffaloDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer CenterThe vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.https://doi.org/10.1038/s41467-021-23094-z
collection DOAJ
language English
format Article
sources DOAJ
author Saptarshi Chakraborty
Axel Martin
Zoe Guan
Colin B. Begg
Ronglai Shen
spellingShingle Saptarshi Chakraborty
Axel Martin
Zoe Guan
Colin B. Begg
Ronglai Shen
Mining mutation contexts across the cancer genome to map tumor site of origin
Nature Communications
author_facet Saptarshi Chakraborty
Axel Martin
Zoe Guan
Colin B. Begg
Ronglai Shen
author_sort Saptarshi Chakraborty
title Mining mutation contexts across the cancer genome to map tumor site of origin
title_short Mining mutation contexts across the cancer genome to map tumor site of origin
title_full Mining mutation contexts across the cancer genome to map tumor site of origin
title_fullStr Mining mutation contexts across the cancer genome to map tumor site of origin
title_full_unstemmed Mining mutation contexts across the cancer genome to map tumor site of origin
title_sort mining mutation contexts across the cancer genome to map tumor site of origin
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-05-01
description The vast majority of somatic mutations observed in tumors are rare. Here, the authors show that these large numbers of rare mutations are more predictive of the tissue of origin of a tumor than the information from a few common driver mutations.
url https://doi.org/10.1038/s41467-021-23094-z
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AT zoeguan miningmutationcontextsacrossthecancergenometomaptumorsiteoforigin
AT colinbbegg miningmutationcontextsacrossthecancergenometomaptumorsiteoforigin
AT ronglaishen miningmutationcontextsacrossthecancergenometomaptumorsiteoforigin
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