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.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Oh BY,Shin HT,Yun JW,Kim KT,Kim J,Bae JS,Cho YB,Lee WY,Yun SH,Park YA,Park YH,Im YH,Lee J,Joung JG,Kim HC,Park WYdoi
10.1038/s41598-019-41098-0subject
Has Abstractpub_date
2019-03-14 00:00:00pages
4542issue
1issn
2045-2322pii
10.1038/s41598-019-41098-0journal_volume
9pub_type
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