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Identification of Key lncRNAs Associated with Immune Infiltration and Prognosis in Gastric Cancer

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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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Data Availability

All data analyzed during the present study are publicly available at TCGA data portal (https://portal.gdc.cancer.gov/).

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Acknowledgements

This work was financially supported by Natural Science Foundation of Inner Mongolia (No. 2022QN06007); the National Natural Science Foundation of China (No. 81960449, 62171241 and 62061034); the Science Research Foundation of Inner Mongolia People’s Hospital (No. 2021YN18); the Science and Technology Planning Project for Health of Inner Mongolia (No. 202202024); and the Talent Training Plan for the Key Laboratory of Inner Mongolia Science and Technology Department.

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Author notes

  1. Wen Jin and Jianchao Jia contributed equally to this work.

Authors and Affiliations

  1. Clinical Medical Research Center, Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People’s Hospital, Hohhot, 010010, China

    Wen Jin, Jianchao Jia, Hao Zhu, Zhouying Wu & Lan Yu

  2. Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China

    Yangming Si

  3. School of Water Resource and Environment Engineering, China University of Geosciences, Beijing, 100083, China

    Jianli Liu

  4. College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China

    Hanshuang Li & Yongchun Zuo

  5. Digital College, Inner Mongolia Intelligent Union Big Data Academy, Hohhot, 010010, China

    Yongchun Zuo

  6. Inner Mongolia International Mongolian Hospital, Hohhot, 010065, China

    Yongchun Zuo

  7. Department of Endocrine and Metabolic Diseases, Inner Mongolia People’s Hospital, Hohhot, 010010, China

    Lan Yu

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  1. Wen Jin
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Contributions

W.J. and J.J. contributed to the design, bioinformatics analysis, drafting and writing of the manuscript. Y.S. and H.L. participated in data analysis. J.L. devoted the work of negotiation and revising the manuscript. H.Z. and Z.W. performed samples collection and biological experiment. L.Y. and Y.Z. provided full guidance of the study. All authors have read and approved the final manuscript for submission.

Corresponding authors

Correspondence to Yongchun Zuo or Lan Yu.

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The tissue samples used in this study have been approved by the Medical Ethics Committee of Inner Mongolia People’s Hospital. All of the patients signed the informed consent for beforehand.

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Jin, W., Jia, J., Si, Y. et al. Identification of Key lncRNAs Associated with Immune Infiltration and Prognosis in Gastric Cancer. Biochem Genet (2024). https://doi.org/10.1007/s10528-024-10801-w

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