Akademik Veri Yönetim Sistemi
EACR 2024 Congress, Rotterdam, Hollanda, 10 - 13 Haziran 2024, cilt.18, sa.1, ss.39-40
Introduction
Prostate cancer is a complex disease with a range ofmolecular mechanisms. Understanding the underlyingbiological pathways and genetic factors that contribute tothe development and progression of the disease is crucialfor developing effective diagnostic and treatmentapproaches. In this study, we aimed to identify potentialnovel genes that may play a role in the molecularmechanisms of prostate cancer.
Material and Methods
The researchers analyzed six prostate cancer datasetsfrom the Gene Expression Omnibus (GEO) repository.They identified overlapping upregulated and down-regulated genes in at least two out of the six datasetsseparately as two lists of genes. For the identified DEGs,various types of analyses were conducted, including GOand KEGG pathway enrichment analysis, construction ofPPI network using STRING, and PPI network analysis inCytoscape. After selecting the previously unreportedgenes associated with prostate cancer, their expressionswere validated using GEPIA, and disease-free survivalplots were generated using the Kaplan-Meier Plotter.
Results and Discussions
In our study, we identified 264 upregulated genes and469 downregulated genes across multiple datasets, withfunctional analysis revealing their involvement in variousbiological processes and pathways. Using Cytoscape, weidentified 86 upregulated and 82 downregulated genes ashub genes via different methods. Furthermore, a PubMedsearch unveiled 19 candidate novel genes potentiallylinked to prostate cancer. Validation through GEPIA andUCSC Xena platforms confirmed differential expressionof these genes in cancer tissues, with SLC27A2, APOF,CPLX3, SBSPON, and LDB3 showing significantassociations with prostate cancer survival times.
Conclusion
Our findings discovered that potential novel genesinclude RAD51AP1, APOF, SAMD13, B3GAT1,DUS1L, HIST3H2A, SLC27A2, VSTM2L, FXYD1,AHNAK2, BEX1, COL16A1, COL17A1, CPLX3,LDB3, NTF4, PPP1R3C, RCAN2, and SBSPON mayplay a important role in the molecular mechanisms of prostate cancer and they have not been connected toprostate cancer in any publication in PubMed.Importantly, the study found that the high and lowexpression of the SLC27A2, APOF, CPLX3, SBSPON,and LDB3 genes were significantly related to longdisease-free survival in prostate cancer patients. Thesefindings suggest that these genes may be importantprognostic biomarkers for prostate cancer.