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Identification of Key lncRNAs Associated with Immune Infiltration and Prognosis in Gastric Cancer.
Jin, Wen; Jia, Jianchao; Si, Yangming; Liu, Jianli; Li, Hanshuang; Zhu, Hao; Wu, Zhouying; Zuo, Yongchun; Yu, Lan.
Afiliação
  • Jin W; Clinical Medical Research Center, Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, 010010, China.
  • Jia J; Clinical Medical Research Center, Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, 010010, China.
  • Si Y; Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China.
  • Liu J; School of Water Resource and Environment Engineering, China University of Geosciences, Beijing, 100083, China.
  • Li H; College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
  • Zhu H; Clinical Medical Research Center, Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, 010010, China.
  • Wu Z; Clinical Medical Research Center, Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, 010010, China.
  • Zuo Y; College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. yczuo@imu.edu.cn.
  • Yu L; Digital College, Inner Mongolia Intelligent Union Big Data Academy, Hohhot, 010010, China. yczuo@imu.edu.cn.
Biochem Genet ; 2024 Apr 24.
Article em En | MEDLINE | ID: mdl-38658494
ABSTRACT
Long non-coding RNAs (lncRNAs), as promising novel biomarkers for cancer treatment and prognosis, can function as tumor suppressors and oncogenes in the occurrence and development of many types of cancer, including gastric cancer (GC). However, little is known about the complex regulatory system of lncRNAs in GC. In this study, we systematically analyzed lncRNA and miRNA transcriptomic profiles of GC based on bioinformatics methods and experimental validation. An lncRNA-miRNA interaction network related to GC was constructed, and the nine crucial lncRNAs were identified. These 9 lncRNAs were found to be associated with the prognosis of GC patients by Cox proportional hazards regression analysis. Among them, the expression of lncRNA SNHG14 can affect the survival of GC patients as a potential prognostic marker. Moreover, it was shown that SNHG14 was involved in immune-related pathways and significantly correlated with immune cell infiltration in GC. Meanwhile, we found that SNHG14 affected immune function in many cancers, such as breast cancer and esophageal carcinoma. Such information revealed that SNHG14 may serve as a potential target for cancer immunotherapy. As well, our study could provide practical and theoretical guiding significance for clinical application of non-coding RNAs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article