Your browser doesn't support javascript.
loading
Systematic investigation of the prognostic impact of clonal status of somatic mutations across multiple cancer types.
Cheng, Peng; Lan, Yujia; Liao, Jianlong; Zhao, Erjie; Yan, Haoteng; Xu, Liwen; A, Suru; Ping, Yanyan; Xu, Jinyuan.
Afiliação
  • Cheng P; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Lan Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Liao J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Zhao E; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Yan H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China; Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China.
  • Xu L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • A S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Ping Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address: pingyanyan@hrbmu.edu.cn.
  • Xu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address: xujinyuan@hrbmu.edu.cn.
Genomics ; 114(4): 110412, 2022 07.
Article em En | MEDLINE | ID: mdl-35714828
ABSTRACT
Tumors are genetically heterogeneous and many mutations are actually present in subclonal populations. The clonal status of mutations is valuable for accurate prognosis, clinical management. The aim of this study was to identify the clonal status of somatic mutations and systematically evaluate their prognostic values across various cancer types. We totally identified 227 clonal and 432 subclonal mutations contributed to prognosis and demonstrated the importance of clonal status in improving mutation-related clinical guidance. We further developed a customized multi-step approach to identify gene-specific prognostic patterns of clonal status at pan-cancer level and found some cancer-specific prognostic patterns. The 'subclonal-dependent risk' subpattern was one of the most common subpatterns, it usually accompanied by high genomic in-stability and high extent of intra-tumor heterogeneity and could be used to improve the accuracy of prognostic analysis. Our results revealed the importance of clonal status, especially subclonal mutation in clinical survival.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article