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; 
  • 외 11명
Citations

WEB OF SCIENCE

49
Citations

SCOPUS

49

초록

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.

키워드

GENOMIC INSTABILITY; CLONAL ARCHITECTURE; EVOLUTION; CHALLENGE; DIVERSITY; QUALITY; IMPACT
제목
Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator
저자
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, Yooh Ah; Park, Yeon Hee; Im, Young-Hyuck; Lee, Jeeyun; Joung, Je-Gun; Kim, Hee Cheol; Park, Woong-Yang
DOI
10.1038/s41598-019-41098-0
발행일
2019-03-14
유형
Article
저널명
Scientific Reports
권
9
호
1