P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study

Jie Chu; Wei Liu; Xinyue Hu; Huiling Zhang; Jiudong Jiang

doi:10.1002/hsr2.1646

P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study

Health Sci Rep. 2023 Dec 1;6(12):e1646. doi: 10.1002/hsr2.1646. eCollection 2023 Dec.

Authors

Jie Chu¹, Wei Liu², Xinyue Hu³, Huiling Zhang¹, Jiudong Jiang⁴

Affiliations

¹ Department of Oncology The First People's Hospital of Ziyang Ziyang China.
² Department of General Family Medicine The First People's Hospital of NeiJiang NeiJiang China.
³ Department of Clinical Laboratory, Kunming First People's Hospital Kunming Medical University Kunming China.
⁴ Department of Surgery The First People's Hospital of ZiYang Ziyang China.

Abstract

Background and aims: Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of cancer with a high incidence globally. This study aimed to investigate the role of P2RY13 in the progression of ccRCC and elucidate its mechanism of action.

Methods: Gene Expression Omnibus and The Cancer Genome Atlas databases were used to extract gene expression profiles of ccRCC. These profiles were annotated and visualized by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, as well as Gene Set Enrichment Analysis (GSEA). The STRING database was used to establish a protein-protein interaction network and to analyze the functional similarity. The GEPIA2 database was used to predict survival associated with hub genes. Meanwhile, the TIMER2.0 database was used to assess immune cell infiltration and its link with the hub genes. Immunohistochemistry (IHC) was used to determine the difference between ccRCC and adjacent normal tissue.

Results: We identified 272 differentially expressed genes (DEGs). GO and KEGG analyses suggested that DEGs were primarily involved in lymphocyte activation, inflammatory response, immunological effector mechanism pathways. By cytohubba, the 20 highest-scoring hub genes were screened to identify critical genes in the protein-protein interaction network linked with ccRCC. Resting dendritic cells, CD8 T cells, and activated mast cells all showed a significant positive correlation with these hub genes. Moreover, a higher immune score was associated with increased prognostic risk scores, which in turn correlated with a poorer prognosis. IHC revealed that P2RY13 was expressed at higher levels in ccRCC compared to para-cancer tissues.

Conclusion: Identifying the DEGs will aid in the understanding of the causes and molecular mechanisms involved in ccRCC. P2RY13 may play a pivotal role in the progression and prognosis of ccRCC, potentially driving carcinogenesis though immune system mechanisms.

Keywords: GEO; P2RY13; TCGA; biomarker; clear cell renal cell carcinoma.