Bioinformatics analysis of markers based on m⁶A related to prognosis combined with immune invasion of renal clear cell carcinoma

Abstract

The incidence rate of renal cell carcinoma (RCC) is about 3% of all adult cancers. Of these, the Kidney clear cell renal cell carcinoma (KIRC) is the most common type, accounting for about 70%-75% of RCC. KIRC is difficult to be detected in time clinically. KIRC still has no effective treatment at this stage. We combined highthroughput bioinformatics analysis to obtained the structural sequence transcriptome data, relevant clinical information, and m 6 A gene map of KIRC patients from genomics TCGA database. Pearson's correlation analysis was used to explore m 6 A related gene long noncoding RNAs (lncRNAs), and then univariate Cox regression analysis was performed to screen the prognostic role of KIRC patients. Lasso-Cox regression was performed to establish the lncRNAs risk model associated with m 6 A.LINC02154 and AC016773.2, Z98200.2, AL161782.1, EMX2OS, AC021483.2, CD27-AS1, AC006213.3 were iidentif. Compared with the low-risk group, the overall survival of patients in the high-risk group was significantly worse. Analyzing whether there are differences in immune cells between high-risk and low-risk subgroups. There were CD4 memory resting, Monocytes, Macrophages M1, Dendritic cells activated, Mast cells resting, which had higher infiltrations in the low-risk group. We performed Go enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis and gene set enrichment analysis enrichment analysis. Overall, our results suggest that the component of m6A-related lncRNAs in the prognostic signal may be a key mediator in the immune microenvironment of KIRC, which represents a promising therapeutic effect.

Basement Membrane-Associated lncRNA Risk Model Predicts Prognosis and Guides Clinical Treatment in Clear Cell Renal Cell Carcinoma

“…LINC02154 increases liver cancer cell growth and spread by increasing SPC24 promoter activity and modulating the PI3K-AKT signaling pathway [28]; it may also be used to estimate the prognosis of laryngeal squamous cell carcinoma [29]. Studies have shown that renal cancer patients with high expression of LINC02154 have a poor prognosis, and knocking down LINC02154 can inhibit the invasion ability of cancer cells, which is consistent with our experimental results [30,31]. IGFL2-AS1 exerts a tumor-promoting effect in TSCC through the Wnt/β-catenin pathway and enhances the development of tongue squamous cell carcinoma [32].…”

Bioinformatics analysis and experimental validation of m6A and cuproptosis-related lncRNA NFE4 in clear cell renal cell carcinoma

“…We investigated the function of identified four m6A and cuproptosis-linked lncRNAs in ccRCC. Given that only LINC02154 and NFE4 expression was upregulated in ccRCC (F i g. 3 I) and that LINC02154 has been described as a cuproptosis-linked gene and well-studied in various carcinomas including ccRCC [ 46 – 48 ], NFE4 was primarily focused.…”

Integrative analysis of transcriptomic landscape and urinary signature reveals prognostic biomarkers for clear cell renal cell carcinoma

“…The omics-based analytical approaches are becoming available to enhance the understanding of the tumor pathophysiology (15,16). Transcriptomic technique focuses on coding and noncoding sequences to identify differentially expressed genes.…”