Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Bo Young Oh, Hyun-Tae Shin, Jae Won Yun, Kyu-Tae Kim, Jinho Kim, Joon Seol Bae, Yong Beom Cho, Woo Yong Lee, Seong Hyeon Yun, Yoon Ah Park, Yeon Hee Park, Young-Hyuck Im, Jeeyun Lee, Je-Gun Joung, Hee Cheol Kim, Woong-Yang Park

ABSTRACT

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. More... »

PAGES

4542

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-41098-0

DOI

http://dx.doi.org/10.1038/s41598-019-41098-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112766727

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30872730


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