Somatic gene mutation signatures predict cancer type and prognosis in multiple cancers with pan-cancer 1000 gene panel
Autor: | Hailong Wang, Han Wang, Qian Dong, Mei-Na Su, Yan Zhuang, Hui Zhang, Yong Liu, Xiaowei Wang, Wei Lu, Da Jiang, Jie Yue, Yunlong Cui, He Ren, Wen-Hua Jiang, Pengfei Liu, Jia-Hui Mi, Zanmei Xu, Caijuan Tian, Zhenzhen Zhang |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male 0301 basic medicine Cancer Research Somatic cell DNA Mutational Analysis Gene mutation Biology Digestive System Neoplasms medicine.disease_cause Young Adult 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Biomarkers Tumor medicine Humans Precision Medicine Intestinal Cancer Gene Aged Neoplasm Staging Aged 80 and over Mutation Stomach High-Throughput Nucleotide Sequencing Reproducibility of Results Cancer Middle Aged Prognosis medicine.disease Progression-Free Survival Gene Expression Regulation Neoplastic 030104 developmental biology medicine.anatomical_structure Oncology 030220 oncology & carcinogenesis Cancer research Female Liver cancer |
Zdroj: | Cancer Letters. 470:181-190 |
ISSN: | 0304-3835 |
Popis: | Most cancers are caused by somatic mutations. Some common mutations in the same cancer type can form a "signature" to specifically predict the prognosis or to distinguish it from other cancers. In this study, 710 somatic cell mutations were identified in 142 cases, including digestive, lung and urogenital cancers, and the digestive cancers were further divided into liver, stomach, intestinal, esophageal and cardia cancer. The above mutations were located in 166 genes. In addition, a group of high-frequency mutation genes with specific characteristics were screened to form predictive signatures for each cancer. Verification using TCGA suggested that the signatures could predict the stages, progression-free survival, and overall survival of digestive, intestinal, and liver cancers (P 0.05). The validation cases further confirmed the predictive role of digestive and liver cancers signatures in diagnosis and prognosis. Overall, this study established predictive signatures for different cancer systems and their subtypes. These findings enable a better understanding in cancer genome, and contribute to the personalized diagnosis and treatment. |
Databáze: | OpenAIRE |
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