Exploring prognostic implications of miRNA signatures and telomere maintenance genes in kidney cancer

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 <i>TERT</i>, <i>DKC1</i>, <i>CTC1</i>, and <i>RTEL1</i> 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.

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Publication Details

Journal
Molecular Therapy Oncology
Published
2024-09-10
DOI
https://doi.org/10.1016/j.omton.2024.200874
Citations
2
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.57

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article

Exploring prognostic implications of miRNA signatures and telomere maintenance genes in kidney cancer

John Mayer, Scott J. Hebbring, Srinivasulu Yerukala Sathipati, Shinn‐Ying Ho et al.
2 citations
Molecular Therapy Oncology
MicroRNA in disease regulation
0.57
article

Exploring prognostic implications of miRNA signatures and telomere maintenance genes in kidney cancer

John Mayer, Scott J. Hebbring, Srinivasulu Yerukala Sathipati, Shinn‐Ying Ho, Rohit Sharma, Sohyun Jeong, Param Sharma
article en
2 citations

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 <i>TERT</i>, <i>DKC1</i>, <i>CTC1</i>, and <i>RTEL1</i> 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.

Molecular Therapy OncologyVol. 32(4)
Marshfield Clinic (US), National Yang Ming Chiao Tung University (TW), Kaohsiung Medical University (TW), Massachusetts College of Pharmacy and Health Sciences (US), Marshfield Clinic (US)
Marshfield Clinic Research Institute, National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 32%
MicroRNA in disease regulation
0.57
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