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Latent class analysis-derived classification improves the cancer-specific death stratification of molecular subtyping in colorectal cancer.
Zhou, Wen; He, Ming-Ming; Wang, Feng; Xu, Rui-Hua; Wang, Fang; Zhao, Qi.
Affiliation
  • Zhou W; Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, 510060, Guangzhou, P. R. China.
  • He MM; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, 510060, Guangzhou, P. R. China.
  • Wang F; Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Sun Yat-sen University, 510060, Guangzhou, P. R. China.
  • Xu RH; Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, 510060, Guangzhou, P. R. China.
  • Wang F; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, 510060, Guangzhou, P. R. China.
  • Zhao Q; Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, 510060, Guangzhou, P. R. China.
NPJ Precis Oncol ; 7(1): 60, 2023 Jun 23.
Article in En | MEDLINE | ID: mdl-37353681
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Prognostic_studies Language: En Journal: NPJ Precis Oncol Year: 2023 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Prognostic_studies Language: En Journal: NPJ Precis Oncol Year: 2023 Document type: Article