# Emerging Role of ctDNA Fragmentomics and Epigenetic Signatures in the Early Detection, Minimal Residual Disease Assessment, and Precision Monitoring of Renal Cell Carcinoma

**Authors:** Hossam Kamli, Najeeb Ullah Khan

PMC · DOI: 10.1111/jcmm.71019 · Journal of Cellular and Molecular Medicine · 2026-01-30

## TL;DR

This review discusses how ctDNA fragmentomics and epigenetic signatures can improve early detection and monitoring of kidney cancer.

## Contribution

The paper highlights the novel integration of ctDNA fragmentation patterns and epigenetic data for enhanced kidney cancer management.

## Key findings

- ctDNA fragmentomics provides mutation-independent detection of RCC, even in low-shedding tumors.
- RCC-specific DNA methylation profiles offer biomarkers for early detection and tumor classification.
- Combining fragmentomic and epigenetic data improves diagnostic accuracy and enables sensitive MRD assessment.

## Abstract

Renal cell carcinoma (RCC) presents a significant global health challenge, with a substantial proportion of patients diagnosed with advanced or metastatic disease due to the limitations of current diagnostic imaging and the lack of validated non‐invasive biomarkers. These conventional methods, including computed tomography and magnetic resonance imaging, often lack the sensitivity and specificity to differentiate benign from malignant small renal masses reliably or to detect minimal residual disease (MRD) post‐treatment. This review explores the transformative potential of liquid biopsy, explicitly focusing on circulating tumour DNA (ctDNA) fragmentomics and epigenetic signatures, to overcome these clinical hurdles. This review also explores how the analysis of ctDNA fragmentation patterns—such as size distribution, end motifs, and nucleosome footprints—provides a mutation‐independent method to enhance RCC detection, even in low‐shedding tumours. Concurrently, RCC‐specific epigenetic alterations, particularly DNA methylation profiles, offer particular biomarkers for early detection, tumour classification, and prognostication. This Review examines evidence that integrating these multi‐analyte approaches—combining fragmentomic and epigenetic data—synergistically improves diagnostic accuracy, enables sensitive MRD assessment, and allows precision monitoring of treatment response and tumour evolution. Despite existing technical and biological challenges, the convergence of ctDNA fragmentomics and epigenetic profiling heralds a new era for the non‐invasive, dynamic, and personalised management of RCC, promising to improve patient outcomes through earlier intervention and tailored therapeutic strategies.

## Linked entities

- **Diseases:** Renal cell carcinoma (MONDO:0005086), kidney cancer (MONDO:0002367)

## Full-text entities

- **Genes:** VHL (von Hippel-Lindau tumor suppressor) [NCBI Gene 7428] {aka HRCA1, RCA1, VHL1, pVHL}, CA9 (carbonic anhydrase 9) [NCBI Gene 768] {aka CAIX, MN}, PDGFRA (platelet derived growth factor receptor alpha) [NCBI Gene 5156] {aka CD140A, PDGFR-2, PDGFR2}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, RADIL (Rap associating with DIL domain) [NCBI Gene 55698] {aka RASIP2}, KRT14 (keratin 14) [NCBI Gene 3861] {aka CK14, EBS1, EBS1A, EBS1B, EBS1C, EBS1D}, SLTM (SAFB like transcription modulator) [NCBI Gene 79811] {aka Met}, BAP1 (BRCA1 associated deubiquitinase 1) [NCBI Gene 8314] {aka HUCEP-13, KURIS, TPDS1, UBM2, UCHL2, UVM2}, EPAS1 (endothelial PAS domain protein 1) [NCBI Gene 2034] {aka ECYT4, HIF2A, HLF, MOP2, PASD2, bHLHe73}, PTEN (phosphatase and tensin homolog) [NCBI Gene 5728] {aka 10q23del, BZS, CWS1, DEC, GLM2, MHAM}, TET2 (tet methylcytosine dioxygenase 2) [NCBI Gene 54790] {aka IMD75, KIAA1546, MDS}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, DNMT3A (DNA methyltransferase 3 alpha) [NCBI Gene 1788] {aka DNMT3A2, HESJAS, M.HsaIIIA, TBRS}, APC (APC regulator of Wnt signaling pathway) [NCBI Gene 324] {aka BTPS2, DESMD, DP2, DP2.5, DP3, GS}, TFE3 (transcription factor binding to IGHM enhancer 3) [NCBI Gene 7030] {aka MRXSPF, RCCP2, RCCX1, TFEA, bHLHe33}, PBRM1 (polybromo 1) [NCBI Gene 55193] {aka BAF180, PB1, RCC, SMARCH1}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, SETD2 (SET domain containing 2, histone lysine methyltransferase) [NCBI Gene 29072] {aka HBP231, HIF-1, HIP-1, HSPC069, HYPB, KMT3A}, TFEB (transcription factor EB) [NCBI Gene 7942] {aka ALPHATFEB, BHLHE35, TCFEB}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}, RASSF1 (Ras association domain family member 1) [NCBI Gene 11186] {aka 123F2, NORE2A, RASSF1A, RDA32, REH3P21}
- **Diseases:** toxicities (MESH:D064420), clonal haematopoiesis (MESH:C580365), mRCC (MESH:C538445), TSC-aberrant cancers (MESH:D009369), thrombus within (MESH:D013927), kidney cancer (MESH:D007680), SRMs (MESH:C536030), solid (MESH:D018250), Metastatic disease (MESH:D000092182), renal lesion (MESH:D007674), lung, colorectal, and breast cancers (MESH:D001943), metabolic (MESH:D008659), necrosis (MESH:D009336), Mendelian syndromes (MESH:D009386), RCC tumours (MESH:D002292), deaths (MESH:D003643), HLRCC (MESH:C535516), oncocytoma (MESH:D018249), VHL-driven tumours (MESH:D006623), Type 2 disease (MESH:C536595), hypoxia (MESH:D000860), RD (MESH:D000077733), aneuploidy (MESH:D000782), MiT (MESH:D008850), Succinate dehydrogenase (SDH)-deficient (MESH:C565375), invasive cancer (MESH:D009362)
- **Chemicals:** uracils (MESH:D014498), FDG (MESH:D019788), platinum (MESH:D010984), fumarate (MESH:D005650), sodium bisulfite (MESH:C009279), Bisulfite (MESH:C042345), succinate (MESH:D019802), oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** c. 241C> T, AUC of 0

## Full text

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## Figures

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## References

141 references — full list in the complete paper: https://tomesphere.com/paper/PMC12856527/full.md

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Source: https://tomesphere.com/paper/PMC12856527