» Articles » PMID: 39399813

Exploring Prognostic Implications of MiRNA Signatures and Telomere Maintenance Genes in Kidney Cancer

Overview
Journal Mol Ther Oncol
Date 2024 Oct 14
PMID 39399813
Authors
Affiliations
Soon will be listed here.
Abstract

Kidney cancer, particularly clear cell renal cell carcinoma (KIRC), presents significant challenges in disease-specific survival. This study investigates the prognostic potential of microRNAs (miRNAs) in kidney cancers, including KIRC and kidney papillary cell carcinoma (KIRP), focusing on their interplay with telomere maintenance genes. Utilizing data from The Cancer Genome Atlas, miRNA expression profiles of 166 KIRC and 168 KIRP patients were analyzed. An evolutionary learning-based kidney survival estimator identified robust miRNA signatures predictive of 5-year survival for both cancer types. For KIRC, a 37-miRNA signature showed a correlation coefficient (R) of 0.82 and mean absolute error (MAE) of 0.65 years. Similarly, for KIRP, a 23-miRNA signature exhibited an R of 0.82 and MAE of 0.64 years, demonstrating comparable predictive accuracy. These signatures also displayed diagnostic potential with receiver operating characteristic curve values between 0.70 and 0.94. Bioinformatics analysis revealed targeting of key telomere-associated genes such as , , , and by these miRNAs, implicating crucial pathways such as cellular senescence and proteoglycans in cancer. This study highlights the significant link between miRNAs and telomere genes in kidney cancer survival, offering insights for therapeutic targets and improved prognostic markers.

References
1.
Harries L . MicroRNAs as Mediators of the Ageing Process. Genes (Basel). 2014; 5(3):656-70. PMC: 4198923. DOI: 10.3390/genes5030656. View

2.
Yerukala Sathipati S, Aimalla N, Tsai M, Carter T, Jeong S, Wen Z . Prognostic microRNA signature for estimating survival in patients with hepatocellular carcinoma. Carcinogenesis. 2023; 44(8-9):650-661. DOI: 10.1093/carcin/bgad062. View

3.
Ho S, Chen J, Huang M . Inheritable genetic algorithm for biobjective 0/1 combinatorial optimization problems and its applications. IEEE Trans Syst Man Cybern B Cybern. 2004; 34(1):609-20. DOI: 10.1109/tsmcb.2003.817090. View

4.
OBrien J, Hayder H, Zayed Y, Peng C . Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation. Front Endocrinol (Lausanne). 2018; 9:402. PMC: 6085463. DOI: 10.3389/fendo.2018.00402. View

5.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View