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A novel prognostic model based on multi-omics features predicts the prognosis of colon cancer patients.
Yang, Haojie; Jin, Wei; Liu, Hua; Wang, Xiaoxue; Wu, Jiong; Gan, Dan; Cui, Can; Han, Yilin; Han, Changpeng; Wang, Zhenyi.
Afiliación
  • Yang H; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Jin W; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Liu H; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Wang X; Department of Coloproctology, The Sixth Affiliated Hospital of Sun Yat-sen University (Gastrointestinal & Anal Hospital of Sun Yat-sen University), Guangzhou, China.
  • Wu J; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Gan D; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Cui C; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Han Y; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Han C; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Wang Z; Department of Coloproctology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mol Genet Genomic Med ; 8(7): e1255, 2020 07.
Article en En | MEDLINE | ID: mdl-32396280
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Neoplasias del Colon / Transcriptoma / Epigenoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Mol Genet Genomic Med Año: 2020 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Neoplasias del Colon / Transcriptoma / Epigenoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Mol Genet Genomic Med Año: 2020 Tipo del documento: Article País de afiliación: China