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Autophagy-related tumor subtypes associated with significant gene expression profiles and immune cell infiltration signatures to reveal the prognosis of non-small cell lung cancer.
Wang, Rong-Ai; Zhang, Meng-Yu; Jiang, Ying-Xiao; Wang, Xiao-Dong; Qu, Jia-Jia; Yue, Yue-Liang; Qu, Yi-Qing.
Afiliación
  • Wang RA; The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Zhang MY; Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Jiang YX; Department of Pulmonary and Critical Care Medicine, Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Wang XD; Department of Pulmonary and Critical Care Medicine, Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Qu JJ; Department of Pulmonary and Critical Care Medicine, Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Yue YL; Department of Pulmonary and Critical Care Medicine, Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Qu YQ; Department of Pulmonary and Critical Care Medicine, Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, China.
J Cancer ; 14(8): 1427-1442, 2023.
Article en En | MEDLINE | ID: mdl-37283800
Autophagy plays an important role in non-small cell lung cancer (NSCLC). We aimed to establish novel autophagy-related tumor subtypes to distinguish the prognosis of NSCLC. In this study, gene expression profiles, mutation data and clinical information obtained from the Cancer Genome Atlas. Kaplan Meier-plotter could evaluate prognostic value of autophagy-related genes. Consensus clustering revealed autophagy-related tumor subtypes. Gene expression profiles, mutation data and immune infiltration signatures were identified, oncogenic pathways and gene-drug interactions were performed according to the clusters. Finally, a total of 23 prognostic genes were screened and consensus clustering analysis divided the NSCLC into 2 clusters. The mutation signature showed that 6 genes are special. Immune infiltration signatures showed that higher fraction of immune cells was associated with cluster 1. The oncogenic pathways and gene-drug interactions also showed different patterns. In conclusion, autophagy-related tumor subtypes have different prognosis. Understanding the subtypes of NSCLC are helpful to accurately identify the NSCLC and personalized treatment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cancer Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cancer Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Australia