Abstract 92P
Background
Urothelial carcinoma (UC), the most common urinary system cancer, affects the bladder, upper urinary tract, and renal pelvis. Traditional diagnostics like urinary pathology, cystoscopy, and ureteroscopy are limited by sensitivity and patient compliance issues, highlighting the need for accurate, non-invasive diagnostics. This study examines the use of Next-Generation Sequencing (NGS) for urinary tumor DNA (utDNA) analysis, showcasing its potential as a diagnostic tool for UC.
Methods
This ongoing clinical trial is enrolling 250 patients with symptoms indicative of UC. So far, 20 patients have provided 40 ml urine samples for centralized analysis using two liquid biopsy assays: PredicineCARE (targeted NGS) and PredicineSCORE (low-pass WGS). These assays detect genomic alterations in utDNA, aiming to identify tumor fractions in urine. Their diagnostic efficacy is being evaluated against imaging, cystoscopy, ureteroscopy, and urinary pathology.
Results
In the 20 patients assessed, UC was confirmed in 11, 7 tested negative, and 2 cases remained uncertain. utDNA testing detected tumor fractions in all confirmed and uncertain UC cases, achieving 100% sensitivity and 71.4% specificity. Genomic profiling found 260 mutations and 24 copy number variants, with significant alterations in genes like TP53 and FGFR2/3, pointing to potential FGFR inhibitor treatments. The median urinary copy number burden (uCNB) score, derived from LP-WGS, distinguished between UC-positive and UC-negative patients with significant differences (median score of 9.04 in UC-positive vs. 5.97 in UC-negative, p=0.004). A uCNB threshold of 7.58 accurately identified 8 UC patients with 100% specificity and 73% sensitivity. Clinically UC-negative patients had negative uCNB scores, while one uncertain case tested positive, validating utDNA results and underscoring uCNB's value as a confirmatory biomarker.
Conclusions
The utDNA and uCNB analyses in this study demonstrated high sensitivity and specificity, offering promising non-invasive diagnostic options for UC. These methods also have the potential to facilitate personalized therapy, improving patient management in urothelial carcinoma.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
H. Tang, C. Jia, F. Xie, Y. Zhang, S. Jia: Financial Interests, Personal, Full or part-time Employment: Huidu. All other authors have declared no conflicts of interest.
Resources from the same session
21P - DNAJC1 inhibit the ferroptosis of glioma cells through stabilizing GPX4 by competing with TRIM21
Presenter: Min Chao
Session: Poster session 07
Resources:
Abstract
22P - Pre-clinical development of CVGBM: A therapeutic mRNA-based multiepitope vaccine for glioblastoma
Presenter: Ronja Mülfarth
Session: Poster session 07
23P - Germline testing in a selected cohort of non-small cell lung cancer (NSCLC) patients: Final results from the INHERITY LC study
Presenter: Maria Zurera Berjaga
Session: Poster session 07
24P - Assessment of an AI algorithm to classify germline variants in the ATM cancer predisposition gene
Presenter: Nooshin Bayat
Session: Poster session 07
25P - NGS-based identification of novel hereditary breast/ovarian cancer genes in patients with clinical features of genetic predisposition
Presenter: Ekaterina Kuligina
Session: Poster session 07
26P - Multi-feature cell free DNA analysis and ensemble machine learning for early detection of cancer
Presenter: Seongmun Jeong
Session: Poster session 07
27P - Molecular insights on cutaneous melanoma hyperpigmentation and therapy resistance
Presenter: Elena Andreucci
Session: Poster session 07
28P - Targeting YAP1 as a biomarker of resistance and therapeutic strategy in melanoma immunotherapy
Presenter: Szonja Kovács
Session: Poster session 07
29P - Considering intra-patient response variability in clinical trials: Implications for treatment efficacy and survival
Presenter: Caryn Geady
Session: Poster session 07
Resources:
Abstract
30P - CDK4/6 inhibitors dephosphorylate RNF26 to stabilize TSC1 and increase the sensitivity of ccRCC to mTOR inhibitors
Presenter: Yang Zheng
Session: Poster session 07