Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.

Zhou, Yuwei; Gao, Shenhu; Yang, Rong; Du, Chengli; Wang, Yanli; Wu, Yihe

Zhou, Yuwei; Gao, Shenhu; Yang, Rong; Du, Chengli; Wang, Yanli; Wu, Yihe.

Afiliación

Zhou Y; Department of Thoracic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Gao S; Department of Thoracic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yang R; Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Du C; Department of Thoracic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wang Y; Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wu Y; Department of Thoracic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Transl Lung Cancer Res ; 11(7): 1479-1496, 2022 Jul.

Article en En | MEDLINE | ID: mdl-35958325

Palabras clave

Gene Expression Omnibus (GEO); The Cancer Genome Atlas (TCGA); lung adenocarcinoma (LUAD); overall survival (OS)

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Lung Cancer Res Año: 2022 Tipo del documento: Article País de afiliación: China

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