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April 5, 2026Cancer Research0 citations

Abstract 2583: Tumor-informed circulating tumor DNA dynamics reflect aggressive histology and radiologic disease status in renal cell carcinoma

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EMEric MartinEYEun-mi YuAMAnnika Murthi

Key Points

  • The study investigates the relationship between circulating tumor DNA (ctDNA) dynamics, tumor histology, and clinical outcomes in renal cell carcinoma.
  • Analyzed serial plasma ctDNA testing from 48 patients with advanced and metastatic RCC.
  • Used a tumor-informed assay to identify individualized variants from patient tumors.
  • Compared baseline ctDNA levels and peak levels with tumor features and radiologic findings.
  • Employed statistical tests like Kruskal-Wallis to analyze quantitative variables and Kaplan-Meier for survival evaluation.
  • ctDNA detected in 39.5% of patients overall; 5.2% in laRCC and 55.2% in mRCC.
  • Higher baseline ctDNA detection in aggresive clear cell RCC cases (66%) compared to non-aggressive (15%).
  • Markedly higher peak ctDNA levels in patients with progressive disease compared to those with disease control.
  • ctDNA conversion from positive to negative during treatment correlated with improved overall survival.

Abstract

Abstract Introduction: Circulating tumor DNA (ctDNA) enables minimally invasive monitoring of tumor biology and treatment response. Although ctDNA is increasingly used across malignancies, its utility in renal cell carcinoma (RCC) has not been well established. We sought to understand the relationship between ctDNA, tumor histology, and clinical outcomes in locally advanced (laRCC) and metastatic RCC (mRCC). Methods: Forty-eight patients with laRCC and mRCC underwent serial plasma ctDNA testing with a commercially available, tumor-informed assay (Signatera). Tissue from each patient’s tumor was sequenced to identify individualized variants, which were then used to construct a personalized tumor-informed ctDNA assay. Serial plasma testing quantified these patient-specific variants to assess ctDNA dynamics alongside interval imaging. Associations between baseline ctDNA status, peak level of ctDNA in mean tumor molecules per milliliter (MTM/mL), histologic subtype, aggressive morphologic features (sarcomatoid, rhabdoid, necrosis), and radiologic findings were analyzed. Quantitative variables were compared using Kruskal-Wallis and Mann-Whitney U tests. Survival was evaluated using Kaplan-Meier and log-rank testing. Results: ctDNA was detected at baseline in 39.5% (17/48) of patients overall, including 5.2% (1/19) with laRCC and 55.2% (16/29) with mRCC. Among clear cell (cc) RCC, baseline ctDNA was detected in 66% of cases with aggressive morphologic features (sarcomatoid, rhabdoid, or necrosis) versus 15% of clear cell tumors without these features. Baseline detection in non-clear cell RCC was 42% (3/7). Among ccRCC, the median peak ctDNA level was significantly higher in tumors with aggressive features compared to those without (0.82 vs 0.07 MTM/mL, p 0.05). Peak ctDNA levels were strongly associated with radiologic disease status: patients with progressive disease (PD) had markedly higher median ctDNA levels (8.86 MTM/mL) compared with those demonstrating disease control with complete response (CR, 0.00 MTM/mL), partial response (PR, 0.41 MTM/mL), or stable disease (SD, 0.27 MTM/mL; H = 9.16, p = 0.027). When stratified by disease control (CR/PR/SD) versus disease progression (PD), patients with disease control exhibited significantly lower peak ctDNA levels (median 0.18 MTM/mL, n = 12) than those with progression (median 8.86 MTM/mL, n = 8; p = 0.007). Conversion from ctDNA-positive to ctDNA-negative during the disease course was associated with improved overall survival (p 0.05). However, baseline ctDNA detection alone did not correlate significantly with survival. Conclusions: ctDNA may serve as a predictor of aggressive histopathologic features in RCC. Quantitative burden and ctDNA dynamics appear associated with disease status and overall survival. These findings highlight tumor-informed ctDNA as a promising biomarker in RCC. Citation Format: Eric Martin, Eun-mi Yu, Annika Murthi, Hongkun Wang, Laura Linville, Jeanny B. Aragon-Ching. Tumor-informed circulating tumor DNA dynamics reflect aggressive histology and radiologic disease status in renal cell carcinoma abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2583.

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Martin et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdb0a79560c99a0a3d39https://doi.org/10.1158/1538-7445.am2026-2583
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