H19 may regulate the immune cell infiltration in carcinogenesis of gastric cancer through miR-378a-5p/SERPINH1 signaling

• Published in: World journal of surgical oncology Vol. 20; no. 1; pp. 1 - 295
• Main Authors: Li, Jianxin, Han, Ting, Wang, Xin, Wang, Yinchun, Chen, Xuan, Chen, Wangsheng, Yang, Qingqiang
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 14.09.2022; BioMed Central; BMC
• Subjects: Algorithms; Biomarker; Biomarkers; Cancer; Carcinogenesis; Carcinogens; Cell growth; Competing endogenous RNA; Correlation analysis; Cytochrome; Datasets; Diagnosis; Disease; Extracellular matrix; Gastric cancer; Gene expression; Genetic aspects; Genomes; Immune cell infiltration; Immune system; Infiltration; Machine learning; Medical prognosis; Metabolism; Metastases; MicroRNAs; Non-coding RNA; Noncoding RNA; Ontology; Pathogenesis; Regulatory mechanisms (biology); Ribonucleic acid; Risk factors; RNA; Signaling; Statistical analysis; Stomach cancer; Support vector machines; Survival analysis; Tumor-infiltrating lymphocytes; Tumors; China
• ISSN: 1477-7819; 1477-7819
• DOI: 10.1186/s12957-022-02760-6

Background Increasing studies have indicated that noncoding RNA (ncRNA)-mediated competing endogenous RNA (ceRNA) network serves as a significant role in cancer progression, but the underlying regulatory mechanisms of which in gastric cancer (GC) remain largely unclear. Methods Based on Gene Expression Omnibus and The Cancer Genome Atlas datasets, potential biomarkers for GC were screened and validated by machine learning. Then, upstream regulatory ncRNA of potential biomarkers was identified to construct a novel ceRNA network in GC through means of stepwise reverse prediction and validation. Ultimately, tumor immune cell infiltration analysis was performed based on the EPIC algorithm. Results A total of 188 differentially expressed genes (DEGs) were screened, and three candidate diagnostic biomarkers (FAP, PSAPL1, and SERPINH1) for GC were identified and validated. Subsequently, H19 and miR-378a-5p were identified as upstream regulatory ncRNAs that could potentially bind SERPINH1 in GC. Moreover, Immune infiltration analysis revealed that each component in the ceRNA network (H19/miR-378a-5p/SERPINH1) was significantly correlated with the infiltration abundances of diverse tumor-infiltrating immune cells. Conclusions H19 may regulate the immune cell infiltration in carcinogenesis of GC through miR-378a-5p/SERPINH1 signaling. Keywords: Gastric cancer, Noncoding RNA, Competing endogenous RNA, Biomarker, Immune cell infiltration