Gastric cancer (GC), as an epidemic cancer worldwide, has more than 1 million new cases and an estimated 769,000 deaths worldwide in 2020, ranking fifth and fourth in global morbidity and mortality. In mammals, both miRNAs and transcription factors (TFs) play a partial role in gene expression regulation. The mRNA expression profile and miRNA expression profile of GEO database were screened by GEO2R for differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Then, DAVID annotated the functions of DEGs to understand the functions played in biological processes. The prediction of potential target genes of miRNA and key TFs of mRNA was performed by mipathDB V2.0 and CHEA3, respectively, and the gene list comparison was performed to look for overlapping genes coregulated by key TFs and DEMs. Finally, the obtained miRNAs, TF, and overlapping genes were used to construct the miRNA-mRNA-TF regulatory network, which was verified by RT-qPCR. 76 upregulated DEGs, 199 downregulated DEGs, and 3 upregulated miRNAs (miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p) were identified from the expression profiles of mRNA (GSE26899, GSE29998, GSE51575, and GSE13911) and miRNA (GSE93415), respectively. Through database prediction and gene list comparison, it was found that among the 199 downregulated DEGs, 61, 71, and 69 genes were the potential targets of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p, respectively. 199 downregulated DEGs were used as the gene list for the prediction of key TFs, and the results showed that RFX6 ranked the highest. The potential target overlap genes of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p were 4 genes (SH3GL2, ATP4B, CTSE, and SORBS2), 7 genes (SLC7A8, RNASE4, ESRRG, PGC, MUC6, Fam3B, and FMO5), and 6 genes (CHGA, PDK4, TMPRSS2, CLIC6, GPX3, and PSCA), respectively. Finally, we constructed a miRNA-mRNA-TF regulatory network based on the above 17 mRNAs, 3 miRNAs, and 1 TF and verified by RT-qPCR and western blot results that the expression of RFX6 was downregulated in GC tissues. These identified miRNAs, mRNAs, and TF have a certain reference value for further exploration of the regulatory mechanism of GC.

miR-30b, which is encoded by the gene located on chromosome 8q24.22, plays an important role in a variety of diseases. In most types of tumors, miR-30b significantly inhibits the proliferation, migration, and invasion of cancer cells through the regulation of target genes. Moreover, miR-30b can inhibit the PI3K/AKT signaling pathway through the regulation of EGFR, AKT, Derlin-1, GNA13, SIX1, and other target genes, thus inhibiting the EMT process of tumor cells and promoting apoptosis. In addition, miR-30 plays a significant role in alleviating drug resistance in tumor cells. Although the use of miR-30b as a clinical diagnostic indicator or anticancer drug is still facing great difficulties in the short term, with the deepening of research, the potential application of miR-30b is emerging.

Objectives One of the most prevalent deadly diseases in China and the rest of the globe is gastric cancer. Finding new and efficient biomarkers is a promising method for achieving early prevention, performing treatments, and reducing the mortality of gastric cancer; therefore, this study’s purpose is to evaluate the effectiveness of SERPINH1 as a potential biomarker. Methods Three mRNA transcriptome data sets from the GEO database were chosen for bioinformatics analysis to screen for genes connected with the formation, progression, and prognosis of GC. Then, the four genes obtained from the bioinformatics analysis were verified with the other eight data sets, including normal tissue and GC tissues samples. Finally, the connection between SERPINH1 and gastric cancer was verified using database comparisons and experiments. Results With the use of the three GEO data expression profiles, we identified 360 overlapping genes that were expressed differently. Through PPI analysis, eight GEO profile comparisons, and RT-qPCR verification of clinical tissues, SERPINH1 was deemed considerably overexpressed in gastric cancer. Analysis of each database showed that SERPINH1 was significantly associated with poor prognoses and clinical stages. An abnormal SERPINH1 expression also severely affected the expressions of some immune-related genes. EdU and Transwell assays confirmed that this finding was closely related to tumor metastasis, migration, and apoptosis. Conclusions We conclude that SERPINH1 is a promising potential prognostic marker in GC, which could provide a pathway for more in-depth research that could improve treatment efficacy and patient outcomes.

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