# Identifying Prognostic Biomarkers and Key Pathways in Renal Clear Cell Carcinoma: A Pilot Study Using Integrated miRNA and Gene Expression Analysis

**Authors:** Hamed Manoochehri, Kosar Mirzaee, Amir Taherkhani, Mahmoud Gholyaf

PMC · DOI: 10.1155/bri/3213941 · Biochemistry Research International · 2026-02-26

## TL;DR

This study identifies miRNAs and genes linked to poor outcomes in kidney cancer, offering new targets for treatment and prognosis.

## Contribution

The study identifies novel miRNA-gene interactions, particularly miR-26a-1-3p and RUNX2, as potential prognostic biomarkers in RCCC.

## Key findings

- miR-26a-1-3p, miR-144-3p, and miR-144-5p downregulation correlates with worse RCCC prognosis.
- RUNX2 and CDK1 overexpression is linked to reduced survival in RCCC patients.
- RUNX2 overexpression was confirmed in patient samples and associated with miR-26a-1-3p.

## Abstract

Renal clear cell carcinoma (RCCC) stands out as a prevalent and aggressive subtype of kidney cancer characterized by a challenging prognosis. The need to enhance patient outcomes in RCCC underscores the significance of identifying prognostic biomarkers and therapeutic targets. MicroRNAs (miRNAs) and the signaling pathways orchestrating RCCC pathogenesis emerge as promising candidates for such endeavors.

This study utilized publicly available gene expression data to compare miRNA profiles in nine RCCC and 11 normal kidney tissues. Rigorous bioinformatics analyses were employed to identify differentially expressed miRNAs and their associated gene targets. Prognostic significance was assessed, and a protein–protein interaction network was constructed to highlight pivotal RCCC hub genes. The expression and prognostic value of key hub genes and miRNAs were further validated in independent cohorts, including the GEO dataset GSE76351 and the TCGA–KIRC cohort via the Kaplan–Meier plotter. Expression of RUNX2 was confirmed using real‐time PCR in five cancer and five normal renal tissues.

Fifteen DEMs were identified alongside 74 hub genes. The downregulation of miR‐26a‐1‐3p, miR‐144–3p, and miR‐144–5p was associated with a poorer prognosis in RCCC. The overexpression of CDK1 and RUNX2 was validated in an independent GEO dataset and correlated with decreased patient survival in the TCGA–KIRC cohort. Furthermore, a statistically significant but modest inverse association was observed between miR‐26a‐1‐3p and RUNX2 expression, indicating a possible miRNA–mRNA relationship. Significant enrichment was observed in pathways related to PI3K–Akt, MAPK, apoptosis, and cell cycle. The overexpression of RUNX2 was confirmed in our patient samples (p value< 0.05).

This multistep validation study confirms that specific miRNAs and hub genes, particularly the miR‐26a‐1‐3p/RUNX2 axis, are potential prognostic indicators in RCCC. A comprehensive understanding of these biomarkers and their enriched signaling pathways provides deeper insight into the molecular underpinnings of RCCC, uncovering potential therapeutic opportunities.

## Linked entities

- **Genes:** RUNX2 (RUNX family transcription factor 2) [NCBI Gene 860], CDK1 (cyclin dependent kinase 1) [NCBI Gene 983]
- **Diseases:** Renal clear cell carcinoma (MONDO:0005005)

## Full-text entities

- **Genes:** CDK1 (cyclin dependent kinase 1) [NCBI Gene 983] {aka CDC2, CDC28A, P34CDC2}, RUNX2 (RUNX family transcription factor 2) [NCBI Gene 860] {aka AML3, CBF-alpha-1, CBFA1, CCD, CCD1, CLCD}, PIM1 (Pim-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5292] {aka PIM}, ZIC2 (Zic family zinc finger 2) [NCBI Gene 7546] {aka HPE5}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, MAPK11 (mitogen-activated protein kinase 11) [NCBI Gene 5600] {aka P38B, P38BETA2, PRKM11, SAPK2, SAPK2B, p38-2}, MIR144 (microRNA 144) [NCBI Gene 406936] {aka MIRN144, mir-144}, MYCN (MYCN proto-oncogene, bHLH transcription factor) [NCBI Gene 4613] {aka FGLDS1, MODED, MPAPA, MYCNsORF, MYCNsPEP, N-myc}, NCAPG (non-SMC condensin I complex subunit G) [NCBI Gene 64151] {aka CAPG, CHCG, NY-MEL-3, YCG1}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, SLFN11 (schlafen family member 11) [NCBI Gene 91607] {aka SLFN8/9}, PBRM1 (polybromo 1) [NCBI Gene 55193] {aka BAF180, PB1, RCC, SMARCH1}, TAGLN2 (transgelin 2) [NCBI Gene 8407] {aka HA1756}, SETD2 (SET domain containing 2, histone lysine methyltransferase) [NCBI Gene 29072] {aka HBP231, HIF-1, HIP-1, HSPC069, HYPB, KMT3A}, BAP1 (BRCA1 associated deubiquitinase 1) [NCBI Gene 8314] {aka HUCEP-13, KURIS, TPDS1, UBM2, UCHL2, UVM2}, NORAD (non-coding RNA activated by DNA damage) [NCBI Gene 647979] {aka LINC00657}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, GAPDH (glyceraldehyde-3-phosphate dehydrogenase) [NCBI Gene 2597] {aka G3PD, GAPD, HEL-S-162eP}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, SCD (stearoyl-CoA desaturase) [NCBI Gene 6319] {aka FADS5, MSTP008, SCD1, SCDOS, hSCD1}, VHL (von Hippel-Lindau tumor suppressor) [NCBI Gene 7428] {aka HRCA1, RCA1, VHL1, pVHL}, MIR26A1 (microRNA 26a-1) [NCBI Gene 407015] {aka MIR26A, MIRN26A1, mir-26a-1}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** renal (MESH:D006030), NOLC1 (MESH:D001835), Kidney cancer (MESH:D007680), renal carcinogenesis (MESH:D063646), cancer (MESH:D009369), inflammatory (MESH:D007249), RCC mRCC (MESH:D002292), kidney tumorigenesis (MESH:D007674), tumor suppressor nucleolar and coiled-body phosphoprotein 1 (OMIM:601308), genetic anomalies (MESH:D020022), tumorigenic (MESH:D002471), DEMs (MESH:D001039)
- **Chemicals:** ipilimumab (MESH:D000074324), nivolumab (MESH:D000077594), agarose (MESH:D012685), RNX (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** C-61 C

## Full text

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## Figures

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## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945469/full.md

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Source: https://tomesphere.com/paper/PMC12945469