Biomarkers in Clear Cell Renal Cell Carcinoma: From Biological Association to Clinical Decision-Making

Therapeutic options in renal cell carcinoma (RCC) have expanded rapidly, including adjuvant pembrolizumab, HIF-2α-directed therapy, and multiple effective first-line combinations for metastatic clear-cell RCC (ccRCC), yet treatment selection remains largely clinicopathologic. This review evaluates biomarkers at three clinical decision points: characterization of an indeterminate renal mass; recurrence-risk assessment and adjuvant treatment selection after nephrectomy; and first-line regimen selection in metastatic ccRCC. DNA-methylation classifiers and carbonic anhydrase IX-targeted [89Zr]Zr-girentuximab PET/CT can improve characterization of selected renal tumors, but neither replaces histopathology in routine practice. After nephrectomy, elevated plasma kidney injury molecule-1 (KIM-1) and detectable circulating tumor DNA (ctDNA) identify patients at higher risk of recurrence; however, low tumor shedding limits ctDNA sensitivity, so a negative result does not exclude molecular residual disease or justify adjuvant de-escalation; neither biomarker is validated to direct surveillance, adjuvant therapy, or treatment escalation. In metastatic ccRCC, PD-L1 expression, tumor mutational burden, and individual genomic alterations do not reliably distinguish patients who should receive dual immune-checkpoint blockade from those who should receive an immune-checkpoint inhibitor plus a VEGFR tyrosine kinase inhibitor. Transcriptomic states, myeloid composition, and spatial immune organization provide more detailed treatment-relevant biology, but no prospective comparative trial has shown that biomarker-guided regimen selection improves outcomes. Clinical implementation will require standardized assays, independent multicenter validation, and prospective trials powered to test biomarker-by-treatment interactions.

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Publication Details

Journal
Genes
Published
2026-09-17
DOI
https://doi.org/10.3390/genes17091137
Primary Topic
Renal cell carcinoma treatment
Type
article
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article

Biomarkers in Clear Cell Renal Cell Carcinoma: From Biological Association to Clinical Decision-Making

Lea Al Zoghby, Ahmad Karim Morad, Hadi Al Etri, Hatem Hassanein et al.
Genes
Renal cell carcinoma treatment
article

Biomarkers in Clear Cell Renal Cell Carcinoma: From Biological Association to Clinical Decision-Making

Lea Al Zoghby, Ahmad Karim Morad, Hadi Al Etri, Hatem Hassanein, Mohamad Zoghbi, Jad Chahoud
article en

Abstract

Therapeutic options in renal cell carcinoma (RCC) have expanded rapidly, including adjuvant pembrolizumab, HIF-2α-directed therapy, and multiple effective first-line combinations for metastatic clear-cell RCC (ccRCC), yet treatment selection remains largely clinicopathologic. This review evaluates biomarkers at three clinical decision points: characterization of an indeterminate renal mass; recurrence-risk assessment and adjuvant treatment selection after nephrectomy; and first-line regimen selection in metastatic ccRCC. DNA-methylation classifiers and carbonic anhydrase IX-targeted [89Zr]Zr-girentuximab PET/CT can improve characterization of selected renal tumors, but neither replaces histopathology in routine practice. After nephrectomy, elevated plasma kidney injury molecule-1 (KIM-1) and detectable circulating tumor DNA (ctDNA) identify patients at higher risk of recurrence; however, low tumor shedding limits ctDNA sensitivity, so a negative result does not exclude molecular residual disease or justify adjuvant de-escalation; neither biomarker is validated to direct surveillance, adjuvant therapy, or treatment escalation. In metastatic ccRCC, PD-L1 expression, tumor mutational burden, and individual genomic alterations do not reliably distinguish patients who should receive dual immune-checkpoint blockade from those who should receive an immune-checkpoint inhibitor plus a VEGFR tyrosine kinase inhibitor. Transcriptomic states, myeloid composition, and spatial immune organization provide more detailed treatment-relevant biology, but no prospective comparative trial has shown that biomarker-guided regimen selection improves outcomes. Clinical implementation will require standardized assays, independent multicenter validation, and prospective trials powered to test biomarker-by-treatment interactions.

GenesVol. 17(9)
Orlando Health (US), Florida Hospital Cancer Institute (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Renal cell carcinoma treatment
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Biomarkers in Clear Cell Renal Cell Carcinoma: From Biological Association to Clinical Decision-Making — Lea Al Zoghby, Ahmad Karim Morad, et al. · Genes (2026) | TGRS Research Map | TGRS