mRNA and lncRNA axes in the ceRNA network promote the development of clear cell renal cell carcinoma through CD۳۶ up-regulation in platelet activation, signaling, and aggregation

Introduction Clear cell renal cancer is the most common type of kidney cancer, comprising ۸۰ percent of all malignant tumors found within the kidney. It is known as the "internist tumor" and is well-known for causing a wide spectrum of paraneoplastic manifestations that mimic other tumors and benign conditions. This activity describes the evaluation and management of this aggressive tumor while also highlighting the role of the interprofessional team in the comprehensive management of the patient. Renal cell carcinoma (RCC) is a type of kidney tumor, with clear cell carcinoma being the most common subtype (۸۰ to ۹۰ percent). RCC can be classified into three main subtypes: clear cell, papillary, and chromophobe. Methods Our research project focuses on analyzing gene expression data related to Kidney renal cell carcinoma. We downloaded raw data GSE۲۴۹۰۵۳ from NCBI Gene Expression Omnibus and analyzed it using the GEO۲R tool to obtain a list of differentially expressed genes (DEGs) [۲]. One gene, CD۳۶, was selected for further investigation. We investigated gene expression and survival rate in Kidney renal cell carcinoma using the ENCORI database [۳]. We conducted a protein-protein interaction analysis using STRING Online software to explore the complex pathways involved. Our analysis using ENRICHR and miRWalk led us to pathways associated with the CD۳۶ gene and CD۳۶-related miRNAs. We also explored lncRNAs and their expression using lncBase v.۳ and lnCAR, followed by finding the correlation between genes and lncRNAs in ENCORI. RESULTS After conducting GEO analysis, CD۳۶ was found to be significantly up-regulated in clear cell renal cell carcinoma. Further analysis revealed other significantly up-regulated genes related to the Platelet activation signaling pathway [۴]. Upon studying the gene in the STRING database, we discovered its relationship with other proteins. After analysis in miRWalk, hsa-miR-۲۳۵۵-۳p was selected. Its expression showed a significant correlation with CD۳۶. Furthermore, entering this mRNA in ENCORI revealed a significant correlation with the lncRNA CAMTA۲-AS۱. Conclusion The study suggests that communication between specific networks and RCC supports DC۳۶ as a biomarker for detecting cancer cells. It also indicates the potential of CD۳۶, hsa-miR-۲۳۵۵-۳p, and CAMTA۲-AS۱ in regulating the platelet activation pathway [۵], providing insight for new RCC treatments. Bibliography ۱. Hashmi MF, Limaiem F. Renal Clear Cell Cancer. [Updated ۲۰۲۳ Jan ۱]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; ۲۰۲۴ Jan ۲. Bi Z, Zhou J, Ma Y, Guo Q et al. Integrative analysis and risk model construction for super‑enhancer‑related immune genes in clear cell renal cell carcinoma. Oncol Lett ۲۰۲۴ May;۲۷(۵):۱۹۰. PMID: ۳۸۴۹۵۸۳۴ ۳. Zhou KR, Liu S, Li B, Liu SR, Cai L, et al. An encyclopedia of RNA interactomes in ENCORI. ۴. de Bono, B. (۲۰۰۴). Platelet activation, signaling, and aggregation. Reactome, ۸۹, https://reactome.org/content/detail/R-HSA-۷۶۰۰۲ (Mon Sep ۱۶ ۲۰۲۴) ۵. Gu L, Li H, Gao Y, Ma X, Chen L, Li X, Zhang Y, Fan Y, Zhang X. The association of platelet count with clinicopathological significance and prognosis in renal cell carcinoma: a systematic review and meta-analysis. PLoS One. ۲۰۱۵ May ۸;۱۰(۵):e۰۱۲۵۵۳۸. doi: ۱۰.۱۳۷۱/journal.pone.۰۱۲۵۵۳۸. PMID: ۲۵۹۵۵۰۲۶; PMCID: PMC۴۴۲۵۵۳۴.

کلیدواژه ها:

expression genes ، microarray analysis ، Cancer