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Uncovering the ceRNA Network Related to the Prognosis of Stomach Adenocarcinoma Among 898 Patient Samples.
Liu, Zhe; Liu, Fang; Petinrin, Olutomilayo Olayemi; Wang, Fuzhou; Zhang, Yu; Wong, Ka-Chun.
Afiliação
  • Liu Z; Department of Computer Science, City University of Hong Kong, Hong Kong, China.
  • Liu F; College of Chemistry and Chemical Engineering, Central South University, Changsha, China.
  • Petinrin OO; Department of Computer Science, City University of Hong Kong, Hong Kong, China.
  • Wang F; Department of Computer Science, City University of Hong Kong, Hong Kong, China.
  • Zhang Y; College of Life Sciences, Xinyang Normal University, Xinyang, China.
  • Wong KC; Department of Computer Science, City University of Hong Kong, Hong Kong, China. kc.w@cityu.edu.hk.
Biochem Genet ; 2024 Feb 15.
Article em En | MEDLINE | ID: mdl-38361095
ABSTRACT
Stomach adenocarcinoma (STAD) patients are often associated with significantly high mortality rates and poor prognoses worldwide. Among STAD patients, competing endogenous RNAs (ceRNAs) play key roles in regulating one another at the post-transcriptional stage by competing for shared miRNAs. In this study, we aimed to elucidate the roles of lncRNAs in the ceRNA network of STAD, uncovering the molecular biomarkers for target therapy and prognosis. Specifically, a multitude of differentially expressed lncRNAs, miRNAs, and mRNAs (i.e., 898 samples in total) was collected and processed from TCGA. Cytoplasmic lncRNAs were kept for evaluating overall survival (OS) time and constructing the ceRNA network. Differentially expressed mRNAs in the ceRNA network were also investigated for functional and pathological insights. Interestingly, we identified one ceRNA network including 13 lncRNAs, 25 miRNAs, and 9 mRNAs. Among them, 13 RNAs were found related to the patient survival time; their individual risk score can be adopted for prognosis inference. Finally, we constructed a comprehensive ceRNA regulatory network for STAD and developed our own risk-scoring system that can predict the OS time of STAD patients by taking into account the above.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article