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      Bioinformatics analysis identifies coagulation factor II receptor as a potential biomarker in stomach adenocarcinoma

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          Abstract

          Coagulation factor 2 thrombin receptor ( F2R), a member of the G protein-coupled receptor family, plays an important role in regulating blood clotting through protein hydrolytic cleavage mediated receptor activation. However, the underlying biological mechanisms by which F2R affects the development of gastric adenocarcinoma are not fully understood. This study aimed to systematically analyze the role of F2R in gastric adenocarcinoma. Stomach adenocarcinoma (STAD)-related gene microarray data and corresponding clinicopathological information were downloaded from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential expression genes (DEGs) associated with F2R were analyzed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), and protein–protein interaction (PPI) networks. F2R mRNA expression data were utilized to estimate stromal cell and immune cell scores in gastric cancer tissue samples, including stromal score, immune score, and ESTIMATE score, derived from single-sample enrichment studies. Analysis of TCGA and GEO databases revealed significantly higher F2R expression in STAD tissues compared to normal tissues. Patients with high F2R expression had shorter survival times than those with low F2R expression. F2R expression was significantly correlated with tumor (T) stage, node (N) stage, histological grade and pathological stage. Enrichment analysis of F2R-related genes showed that GO terms were mainly related to circulation-mediated human immune response, immunoglobulin, cell recognition and phagocytosis. KEGG analysis indicated associations to extracellular matrix (ECM) receptor interactions, neuroactive ligand-receptor interactions, the phosphoinositide-3-kinase-protein kinase B/Akt (PI3K-AKT) signaling pathway, the Wnt signaling pathway and the transforming growth factor-beta (TGF-β) signaling pathway. GSEA revealed connections to DNA replication, the Janus kinase/signal transducers and activators of transcription (JAK-STAT) signaling pathway, the mitogen-activated protein kinase (MAPK) signaling pathway and oxidative phosphorylation. Drug sensitivity analysis demonstrated positive correlations between F2R and several drugs, including BEZ235, CGP-60474, Dasatinib, HG-6-64-1, Aazopanib, Rapamycin, Sunitinib and TGX221, while negative correlation with CP724714, FH535, GSK1904529A, JNK-9L, LY317615, pyrimidine, rTRAIL and Vinorelbine. Knocking down F2R in GC cell lines resulted in slowed proliferation, migration, and invasion. All statistical analyses were performed using R software (version 4.2.1) and GraphPad Prism 9.0. p < 0.05 was considered statistically significant. In conclusion, this study underscores the significance of F2R as a potential biomarker in gastric adenocarcinoma, shedding light on its molecular mechanisms in tumorigenesis. F2R holds promise for aiding in the diagnosis, prognosis, and targeted therapy of STAD.

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                Author and article information

                Contributors
                silently00@sina.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                30 January 2024
                30 January 2024
                2024
                : 14
                : 2468
                Affiliations
                [1 ]GRID grid.443626.1, ISNI 0000 0004 1798 4069, Department of Thyroid and Breast Surgery, , The Second Affiliated Hospital of Wannan Medical College, ; Wuhu, 241000 Anhui China
                [2 ]Clinical Laboratory, Traditional Chinese Hospital of Lu’an, Anhui University of Chinese Medicine, ( https://ror.org/035cyhw15) Lu’an, 237000 Anhui China
                [3 ]GRID grid.186775.a, ISNI 0000 0000 9490 772X, Department of Pathology, Fuyang People’s Hospital, , Anhui Medical University, ; Fuyang, 236000 Anhui China
                [4 ]Department of Oncology, Funan County People’s Hospital, ( https://ror.org/054767b18) Fuyang, 236000 Anhui China
                [5 ]GRID grid.411870.b, ISNI 0000 0001 0063 8301, Department of Critical Care Medicine, , The Second Hospital Affiliated to Jiaxing College, ; Jiaxing, 314000 Zhejiang China
                Article
                52397
                10.1038/s41598-024-52397-6
                10827804
                38291086
                820d8ef2-e1b1-46b3-bd4e-376dc3ab1cf3
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 March 2023
                : 18 January 2024
                Funding
                Funded by: This work was supported by the Wannan Medical College Key Project Research Fund
                Award ID: WK2021ZF23
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                computational biology and bioinformatics,molecular biology,biomarkers
                Uncategorized
                computational biology and bioinformatics, molecular biology, biomarkers

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