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Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator
Tumor genetic heterogeneity may underlie poor clinical outcomes because diverse subclones could be comprised of metastatic and drug resistant cells. Targeted deep sequencing has been used widely as a diagnostic tool to identify actionable mutations in cancer patients. In this study, we evaluated the...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418103/ https://www.ncbi.nlm.nih.gov/pubmed/30872730 http://dx.doi.org/10.1038/s41598-019-41098-0 |
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author | Oh, Bo Young Shin, Hyun-Tae Yun, Jae Won Kim, Kyu-Tae Kim, Jinho Bae, Joon Seol Cho, Yong Beom Lee, Woo Yong Yun, Seong Hyeon Park, Yoon Ah Park, Yeon Hee Im, Young-Hyuck Lee, Jeeyun Joung, Je-Gun Kim, Hee Cheol Park, Woong-Yang |
author_facet | Oh, Bo Young Shin, Hyun-Tae Yun, Jae Won Kim, Kyu-Tae Kim, Jinho Bae, Joon Seol Cho, Yong Beom Lee, Woo Yong Yun, Seong Hyeon Park, Yoon Ah Park, Yeon Hee Im, Young-Hyuck Lee, Jeeyun Joung, Je-Gun Kim, Hee Cheol Park, Woong-Yang |
author_sort | Oh, Bo Young |
collection | PubMed |
description | Tumor genetic heterogeneity may underlie poor clinical outcomes because diverse subclones could be comprised of metastatic and drug resistant cells. Targeted deep sequencing has been used widely as a diagnostic tool to identify actionable mutations in cancer patients. In this study, we evaluated the clinical utility of estimating tumor heterogeneity using targeted panel sequencing data. We investigated the prognostic impact of a tumor heterogeneity (TH) index on clinical outcomes, using mutational profiles from targeted deep sequencing data acquired from 1,352 patients across 8 cancer types. The TH index tended to be increased in high pathological stage disease in several cancer types, indicating clonal expansion of cancer cells as tumor progression proceeds. In colorectal cancer patients, TH index values also correlated significantly with clinical prognosis. Integration of the TH index with genomic and clinical features could improve the power of risk prediction for clinical outcomes. In conclusion, deep sequencing to determine the TH index could serve as a promising prognostic indicator in cancer patients. |
format | Online Article Text |
id | pubmed-6418103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64181032019-03-18 Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator Oh, Bo Young Shin, Hyun-Tae Yun, Jae Won Kim, Kyu-Tae Kim, Jinho Bae, Joon Seol Cho, Yong Beom Lee, Woo Yong Yun, Seong Hyeon Park, Yoon Ah Park, Yeon Hee Im, Young-Hyuck Lee, Jeeyun Joung, Je-Gun Kim, Hee Cheol Park, Woong-Yang Sci Rep Article Tumor genetic heterogeneity may underlie poor clinical outcomes because diverse subclones could be comprised of metastatic and drug resistant cells. Targeted deep sequencing has been used widely as a diagnostic tool to identify actionable mutations in cancer patients. In this study, we evaluated the clinical utility of estimating tumor heterogeneity using targeted panel sequencing data. We investigated the prognostic impact of a tumor heterogeneity (TH) index on clinical outcomes, using mutational profiles from targeted deep sequencing data acquired from 1,352 patients across 8 cancer types. The TH index tended to be increased in high pathological stage disease in several cancer types, indicating clonal expansion of cancer cells as tumor progression proceeds. In colorectal cancer patients, TH index values also correlated significantly with clinical prognosis. Integration of the TH index with genomic and clinical features could improve the power of risk prediction for clinical outcomes. In conclusion, deep sequencing to determine the TH index could serve as a promising prognostic indicator in cancer patients. Nature Publishing Group UK 2019-03-14 /pmc/articles/PMC6418103/ /pubmed/30872730 http://dx.doi.org/10.1038/s41598-019-41098-0 Text en © The Author(s) 2019 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 Oh, Bo Young Shin, Hyun-Tae Yun, Jae Won Kim, Kyu-Tae Kim, Jinho Bae, Joon Seol Cho, Yong Beom Lee, Woo Yong Yun, Seong Hyeon Park, Yoon Ah Park, Yeon Hee Im, Young-Hyuck Lee, Jeeyun Joung, Je-Gun Kim, Hee Cheol Park, Woong-Yang Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title | Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title_full | Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title_fullStr | Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title_full_unstemmed | Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title_short | Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
title_sort | intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418103/ https://www.ncbi.nlm.nih.gov/pubmed/30872730 http://dx.doi.org/10.1038/s41598-019-41098-0 |
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