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Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer

DNA copy number aberrations (CNA) are frequently observed in colorectal cancers (CRC). There is an urgent need for CNA-based biomarkers in clinics,. n For Stage III CRC, if combined with imaging or pathologic evidence, these markers promise more precise care. We conducted this Stage III specific bio...

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Autores principales: Xia, Li C., Van Hummelen, Paul, Kubit, Matthew, Lee, HoJoon, Bell, John M., Grimes, Susan M., Wood-Bouwens, Christina, Greer, Stephanie U., Barker, Tyler, Haslem, Derrick S., Ford, James M., Fulde, Gail, Ji, Hanlee P., Nadauld, Lincoln D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081316/
https://www.ncbi.nlm.nih.gov/pubmed/32193467
http://dx.doi.org/10.1038/s41598-020-61643-6
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author Xia, Li C.
Van Hummelen, Paul
Kubit, Matthew
Lee, HoJoon
Bell, John M.
Grimes, Susan M.
Wood-Bouwens, Christina
Greer, Stephanie U.
Barker, Tyler
Haslem, Derrick S.
Ford, James M.
Fulde, Gail
Ji, Hanlee P.
Nadauld, Lincoln D.
author_facet Xia, Li C.
Van Hummelen, Paul
Kubit, Matthew
Lee, HoJoon
Bell, John M.
Grimes, Susan M.
Wood-Bouwens, Christina
Greer, Stephanie U.
Barker, Tyler
Haslem, Derrick S.
Ford, James M.
Fulde, Gail
Ji, Hanlee P.
Nadauld, Lincoln D.
author_sort Xia, Li C.
collection PubMed
description DNA copy number aberrations (CNA) are frequently observed in colorectal cancers (CRC). There is an urgent need for CNA-based biomarkers in clinics,. n For Stage III CRC, if combined with imaging or pathologic evidence, these markers promise more precise care. We conducted this Stage III specific biomarker discovery with a cohort of 134 CRCs, and with a newly developed high-efficiency CNA profiling protocol. Specifically, we developed the profiling protocol for tumor-normal matched tissue samples based on low-coverage clinical whole-genome sequencing (WGS). We demonstrated the protocol’s accuracy and robustness by a systematic benchmark with microarray, high-coverage whole-exome and -genome approaches, where the low-coverage WGS-derived CNA segments were highly accordant (PCC >0.95) with those derived from microarray, and they were substantially less variable if compared to exome-derived segments. A lasso-based model and multivariate cox regression analysis identified a chromosome 17p loss, containing the TP53 tumor suppressor gene, that was significantly associated with reduced survival (P = 0.0139, HR = 1.688, 95% CI = [1.112–2.562]), which was validated by an independent cohort of 187 Stage III CRCs. In summary, this low-coverage WGS protocol has high sensitivity, high resolution and low cost and the identified 17p-loss is an effective poor prognosis marker for Stage III patients.
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spelling pubmed-70813162020-03-23 Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer Xia, Li C. Van Hummelen, Paul Kubit, Matthew Lee, HoJoon Bell, John M. Grimes, Susan M. Wood-Bouwens, Christina Greer, Stephanie U. Barker, Tyler Haslem, Derrick S. Ford, James M. Fulde, Gail Ji, Hanlee P. Nadauld, Lincoln D. Sci Rep Article DNA copy number aberrations (CNA) are frequently observed in colorectal cancers (CRC). There is an urgent need for CNA-based biomarkers in clinics,. n For Stage III CRC, if combined with imaging or pathologic evidence, these markers promise more precise care. We conducted this Stage III specific biomarker discovery with a cohort of 134 CRCs, and with a newly developed high-efficiency CNA profiling protocol. Specifically, we developed the profiling protocol for tumor-normal matched tissue samples based on low-coverage clinical whole-genome sequencing (WGS). We demonstrated the protocol’s accuracy and robustness by a systematic benchmark with microarray, high-coverage whole-exome and -genome approaches, where the low-coverage WGS-derived CNA segments were highly accordant (PCC >0.95) with those derived from microarray, and they were substantially less variable if compared to exome-derived segments. A lasso-based model and multivariate cox regression analysis identified a chromosome 17p loss, containing the TP53 tumor suppressor gene, that was significantly associated with reduced survival (P = 0.0139, HR = 1.688, 95% CI = [1.112–2.562]), which was validated by an independent cohort of 187 Stage III CRCs. In summary, this low-coverage WGS protocol has high sensitivity, high resolution and low cost and the identified 17p-loss is an effective poor prognosis marker for Stage III patients. Nature Publishing Group UK 2020-03-19 /pmc/articles/PMC7081316/ /pubmed/32193467 http://dx.doi.org/10.1038/s41598-020-61643-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xia, Li C.
Van Hummelen, Paul
Kubit, Matthew
Lee, HoJoon
Bell, John M.
Grimes, Susan M.
Wood-Bouwens, Christina
Greer, Stephanie U.
Barker, Tyler
Haslem, Derrick S.
Ford, James M.
Fulde, Gail
Ji, Hanlee P.
Nadauld, Lincoln D.
Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title_full Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title_fullStr Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title_full_unstemmed Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title_short Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer
title_sort whole genome analysis identifies the association of tp53 genomic deletions with lower survival in stage iii colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081316/
https://www.ncbi.nlm.nih.gov/pubmed/32193467
http://dx.doi.org/10.1038/s41598-020-61643-6
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