Abstract 3669: Clinical application of urinary DNA methylation biomarkers for identifying patients with non-muscle invasive bladder cancer

Abstract

Abstract Introduction Differences in DNA methylation along cell-free DNA (cfDNA) fragments are known to exist between cancer patients and healthy individuals. Profiling these aberrant methylation patterns in urinary cfDNA (ucfNDA) holds great promise for the non-invasive detection and monitoring of bladder tumors, including non-muscle invasive bladder cancer (NMIBC). Here, we analyzed fragment-level DNA methylation patterns in urine samples obtained prior to repeat transurethral resection of a bladder tumor (reTURBT) from a cohort of NMIBC patients. The results were compared to traditional clinical disease assessment and mutation-based tumor fractions. We found a strong concordance between DNA methylation abnormality and clinical diagnosis, as well as tumor fractions, highlighting the potential of epigenetic alterations as a non-invasive indicator of bladder cancer status. Methods Patients with high-risk NMIBC (n = 30) were prospectively enrolled prior to reTURBT. The PredicineEPIC™ genome-wide methylation analysis and PredicineBEACON™ MRD profiling was performed on pre-repeat TURBT urine samples. Abnormally methylated genomic fragments were detected against a background model built from a panel of plasma samples from healthy donors. Results DNA methylation abnormality was significantly higher (p = 4.8 × 10−6) in samples classified as NIMBC positive by a clinical pathologist (n = 19) compared to negative samples (n = 11), as well as compared to hold-out healthy donor samples (n=24; p = 7.0 × 10−9). Classifying the samples based on a DNA methylation score cut-off derived from healthy donor samples, 24/30 samples showed concordant disease status. Furthermore, DNA methylation abnormality scores correlated positively with mutation-based tumor fractions (r = 0.62), with higher grade samples showing a stronger correlation (r = 0.81; n = 13) than lower grade samples (r = 0.54; n = 17). Conclusion We demonstrate the utility of methylation patterns extracted ucfDNA samples obtained prior to reTURBT to detect and monitor NMIBC. Urinary DNA methylation patterns were highly concordant with clinical pathology status and as well as tumor fractions determined from mutation analysis. Citation Format: Giancarlo Bonora, Ziqi Zhu, Billie Gould, Binggang Xiang, Kemin Zhou, Shidong Jia, Roger Li, Pan Du. Clinical application of urinary DNA methylation biomarkers for identifying patients with non-muscle invasive bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3669.