Urinary DNA Methylation Research Articles

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

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.

Effects of pesticide exposure on oxidative stress and DNA methylation urinary biomarkers in Czech adults and children from the CELSPAC-SPECIMEn cohort

Current-use pesticide (CUP) exposure occurs mainly through diet and environmental application in both agricultural and urban settings. While pesticide exposure has been associated with many adverse health outcomes, the intermediary molecular mechanisms are still not completely elucidated. Among others, their roles in epigenetics (DNA methylation) and DNA damage due to oxidative stress are presumed. Scientific evidence on urinary biomarkers of such body response in general population is limited, especially in children.A total of 440 urine samples (n = 110 parent-child pairs) were collected during the winter and summer seasons in order to describe levels of overall DNA methylation (5-mC, 5-mdC, 5-hmdC, 7-mG, 3-mA) and oxidative stress (8-OHdG) biomarkers and investigate their possible associations with metabolites of pyrethroids (3-PBA, t/c-DCCA), chlorpyrifos (TCPY), and tebuconazole (TEB-OH). Linear mixed-effects models accounting for intraindividual and intrahousehold correlations were utilized. We applied false discovery rate procedure to account for multiplicity and adjusted for potential confounding variables.Higher urinary levels of most biological response biomarkers were measured in winter samples. In adjusted repeated measures models, interquartile range (IQR) increases in pyrethroid metabolites were associated with higher oxidative stress. t/c-DCCA and TCPY were associated with higher urinary levels of cytosine methylation biomarkers (5-mC and/or 5-mdC). The most robust association was observed for tebuconazole metabolite with 3-mA (−15.1% change per IQR increase, 95% CI = −23.6, −5.69) suggesting a role of this pesticide in reduced demethylation processes through possible DNA glycosylase inhibition.Our results indicate an urgent need to extend the range of analyzed environmental chemicals such as azole pesticides (e.g. prothioconazole) in human biomonitoring studies. This is the first study to report urinary DNA methylation biomarkers in children and associations between CUP metabolites and a comprehensive set of biomarkers including methylated and oxidized DNA alterations. Observed associations warrant further large-scale research of these biomarkers and environmental pollutants including CUPs.

Biomarkers in the diagnosis and symptom assessment of patients with bladder pain syndrome: a systematic review.

Bladder pain syndrome (BPS) is a disease of unknown etiology defined as an unpleasant sensation related to the bladder, associated with lower urinary tract symptoms of more than 6weeks' duration, in the absence of any identifiable causes. Despite its impact on quality of life (QoL) and socioeconomic burden, there are no objective methods for the diagnosis or assessment of therapeutic response. We systematically reviewed biomarkers associated with BPS to update the current knowledge on this issue. A systematic review of the Cochrane Library, Embase, PubMed/MEDLINE, LILACS, SCOPUS, and ClinicalTrials.gov databases was conducted following the PRISMA statement. Original articles investigating biomarkers for the diagnosis or symptom assessment of patients with BPS were assessed; no language restrictions were applied. Animal or post-mortem studies were excluded. Of the 478 records retrieved, 11 articles were included. MIF, NGF, Etio-S, APF, and a combined methylhistamine/Il-6 model were increased in BPS urine samples versus controls. Also increased were glyceraldehyde in stool, in addition to the expression of some genes (ARID1A, ARF, CHAT, eNOS, GLI-1, iNOS, MCP-1, NGF, WNT-8A, WNT-10A), nerve density, IL-16, VCAM-1, and ICAM-1 in bladder tissue specimens. In contrast, some fecal bacteria, expression of other genes (CHT, HB-EGF, OCT-1, SMRT-1, WNT11) in the bladder urothelium, and urinary DNA methylation in CpG-sites, MCP-3, G5P1, and HB-EGF were decreased in BPS. As none of the biomarkers was studied more than once, a Forest plot could not be constructed. Only 4 articles reported the relation of biomarkers to symptom scores. Potential biomarkers for BPS in urine, stool, and bladder biopsy specimens are described. Further research is needed before their use in clinical practice.

Urinary DNA methylation biomarkers for prediction of prostate cancer upgrading and upstaging

BackgroundSignificant numbers of prostate cancer (PCa) patients experience tumour upstaging and upgrading in surgical specimens that cause serious problems in timely and proper selection of the treatment strategy. This study was aimed at the evaluation of a set of established epigenetic biomarkers as a noninvasive tool for more accurate PCa categorization before radical prostatectomy (RP).MethodsQuantitative methylation-specific PCR was applied for the methylation analysis of RARB, RASSF1, and GSTP1 in 514 preoperatively collected voided or catheterized urine samples from the single-centre cohort of 1056 treatment-naïve PCa patients who underwent RP. The rates of biopsy upgrading and upstaging were analysed in the whole cohort.ResultsPathological examination of RP specimens revealed Gleason score upgrading in 27.2% and upstaging in 20.3% of the patients with a total misclassification rate of 39.0%. DNA methylation changes in at least one gene were detected in more than 80% of urine samples. Combination of the PSA test with the three-gene methylation analysis in urine was a significant predictor of pathological upstaging and upgrading (P < 0.050), however, with limited increase in overall accuracy. The PSA test or each gene alone was not informative enough.ConclusionsThe urinary DNA methylation assay in combination with serum PSA may predict tumour stage or grade migration post-RP aiding in improved individual risk assessment and appropriate treatment selection. Clinical utility of these biomarkers should be proven in larger multi-centre studies.

Combining urinary DNA methylation and cell-free microRNA biomarkers for improved monitoring of prostate cancer patients on active surveillance

PurposeProstate cancer (CaP) patients with low-grade tumors are enrolled in active surveillance (AS) programs and monitored with digital rectal exams (DREs), prostate-specific antigen (PSA) tests, and periodic invasive biopsies. Patients are “reclassified” with higher-risk disease if they show signs of disease progression. However, AS patients who will reclassify cannot be easily identified upfront and suffer morbidities associated with biopsy. Biomarkers derived from noninvasively obtained specimens such as serum or urine samples are promising alternatives to monitor patients with clinically insignificant cancer. Previously, we have characterized and validated a urinary DNA methylation panel and a serum miRNA panel for the prediction of patient reclassification in 2 independent AS cohorts. In this exploratory study, we have investigated cell-free miRNAs in the urinary supernatant combined with urinary DNA methylation markers to form an integrative panel for prediction of AS patient reclassification. MethodsPost-DRE urine was collected from 103 CaP patients on active surveillance. Urinary sediment DNA methylation levels of selected genes were previously analyzed using qPCR-based MethyLight assay. Using qRT-PCR, we analyzed the urinary supernatants for relative quantities of 10 miRNAs previously shown to be associated with AS reclassification. Logistic regression and Receiver Operating Characteristics curve analyses were performed to assess the predictive ability of miRNAs and DNA methylation biomarkers. ResultsWe identified a 3-marker panel, consisting of miR-24, miR-30c and CRIP3 methylation, that was significant for prediction of patient reclassification (Odds ratio = 2.166, 95% confidence interval = 1.22–3.847) with a negative predictive value of 90.9%. Our 3-marker panel also demonstrated additive value to PSA for prediction of patient reclassification (c-statistic = 0.717, ROC bootstrapped 1000 iteration P = 0.041). ConclusionA urinary integrated panel of methylation and miRNA markers is a promising approach to identify AS patients at risk for reclassification. Our 3-marker panel, with its high negative predictive value, would be beneficial to identify and preclude AS patients with truly indolent cancer and to personalize monitoring strategies for AS patients.

Evaluation of Urinary DNA Methylation as a Marker for Recurrent Bladder Cancer: A 2-Center Prospective Study

To clarify the clinical utility of urinary DNA methylation for detection of intravesical recurrence of non-muscle invasive BCa (NMIBC), we performed a 2-center prospective study. A series of 207 self-voided urine samples were prospectively collected from 132 patients with NMIBC who had undergone transurethral resection of BCa. Methylation of miRNA genes (miR-9-3, miR-124-2, miR-124-3, and miR-137) was analyzed using bisulfite pyrosequencing. The primary end point was detection of intravesical recurrence; the secondary end point was prediction of late recurrence. The number of methylated genes (M-score) or quantitative level of methylation were compared with outcomes. Twenty-six urine specimens were collected on the same day intravesical recurrence was detected, and 14 were collected from patients whose recurrences were found during the subsequent follow-up period (0-632 days, mean, 342.2 days). For detection of current recurrence, M-scores achieved 61.5% sensitivity and 74.0% specificity, and the area under the ROC curve was 0.71. Regarding prediction of late recurrence, patients with a high M-score (≥3) showed worse recurrence-free survival (P <.01). Multivariate analysis revealed that high M-scores were independently associated with current (P = .028) and late recurrence (P = .026). Elevated levels of urinary DNA methylation were also strongly associated with recurrence and radical cystectomy. Our data suggest that urinary methylation of miRNA genes may be a useful marker for detecting and predicting BCa recurrence.

125 - Diagnosis and prediction of recurrent bladder cancer by urinary DNA methylation analysis: Multicenter prospective study

125 - Diagnosis and prediction of recurrent bladder cancer by urinary DNA methylation analysis: Multicenter prospective study

Diagnosis of Recurrent Bladder Cancer by Urinary DNA Methylation: Prospective Multicenter Study.

Diagnosis of Recurrent Bladder Cancer by Urinary DNA Methylation: Prospective Multicenter Study.

Urinary DNA Methylation Biomarkers for Noninvasive Prediction of Aggressive Disease in Patients with Prostate Cancer on Active Surveillance

Patients with prostate cancer on active surveillance are monitored by repeat prostate specific antigen measurements, digital rectal examinations and prostate biopsies. A subset of patients on active surveillance will later reclassify with disease progression, prompting definitive treatment. To minimize the risk of under treating such patients on active surveillance minimally invasive tests are urgently needed incorporating biomarkers to identify patients who will reclassify. We assessed post-digital rectal examination urine samples of patients on active surveillance for select DNA methylation biomarkers that were previously investigated in radical prostatectomy specimens and shown to correlate with an increasing risk of prostate cancer. Post-digital rectal examination urine samples were prospectively collected from 153 men on active surveillance who were diagnosed with Gleason score 6 disease. Urinary sediment DNA was analyzed for 8 DNA methylation biomarkers by multiplex MethyLight assay. Correlative analyses were performed on gene methylation and clinicopathological variables to test the ability to predict patient risk reclassification. Using backward logistic regression a 4-gene methylation classifier panel (APC, CRIP3, GSTP1 and HOXD8) was identified. The classifier panel was able to predict patient reclassification (OR 2.559, 95% CI 1.257-5.212). We observed this panel to be an independent and superior predictor compared to current clinical predictors such as prostate specific antigen at diagnosis or the percent of tumor positive cores in the initial biopsy. We report that a urine based classifier panel of 4 methylation biomarkers predicts disease progression in patients on active surveillance. Once validated in independent active surveillance cohorts, these promising biomarkers may help establish a less invasive method to monitor patients on active surveillance programs.