Abstract 33P
Background
Bladder cancer is a globally recognized malignancy for its high recurrence and progression rates. The primary treatment protocol involves cisplatin-based chemotherapy, however, the emergence of cisplatin resistance significantly impedes successful treatment outcomes. In this study, we utilized organoids, a 3D culture model, derived from patient bladder tumors to explore the molecular mechanisms underlying cisplatin resistance.
Methods
To dissect the complex cellular and molecular heterogeneity that fuels cisplatin resistance in bladder cancer, we employed single-cell RNA sequencing (scRNA-seq) technology which enable us to achieve high-resolution characterization of cisplatin-resistant cell populations and their unique gene expression profiles.
Results
We successfully induced two cisplatin resistance bladder cancer patient-derived organoids (PDOs). Through the application of scRNA-seq, we were able to generate exhaustive transcriptomic profiles of individual cells within cisplatin-resistant bladder cancer PDOs. This enabled us to identify specific gene expression patterns linked to resistance. This high-resolution analysis will reveal rare or previously unidentified cell subpopulations that are instrumental in driving cisplatin resistance.
Conclusions
In conclusion, this study signifies a pioneering effort to employ scRNA-seq technology and PDOs to unravel the cellular and molecular mechanisms that govern cisplatin resistance. Comprehensive transcriptomic analysis and integrative studies shed light on the complex biology of resistance and will suggest novel treatment approaches. Ultimately, our research aims to transform the management of cisplatin-resistant bladder cancer, bringing us a step closer to personalized and effective treatment strategies for enhanced patient outcomes.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The authors.
Funding
CUHK Direct grant.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
146P - The prognosis value of heat-shock proteins in esophagogastric cancer: A systematic review and meta-analysis
Presenter: Eric Nakamura
Session: Cocktail & Poster Display session
Resources:
Abstract
148P - Identification of potential predictive biomarkers for ovarian cancer chemotherapy response
Presenter: Alsina Nurgalieva
Session: Cocktail & Poster Display session
Resources:
Abstract
149P - Rare RAS mutations are associated with recurrence patterns and recurrence-free survival in colon cancer: First results from Morocco
Presenter: Fatima Agy
Session: Cocktail & Poster Display session
Resources:
Abstract
151P - Development of a predictive model for response to neoadjuvant chemoradiation therapy of rectal cancer using the immunologic profile
Presenter: Eun Shin
Session: Cocktail & Poster Display session
Resources:
Abstract
152P - Biomarkers of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
Presenter: Cibele Masotti
Session: Cocktail & Poster Display session
Resources:
Abstract
153P - BRAF variants and therapy outcomes in melanoma
Presenter: Eftychia Chatziioannou
Session: Cocktail & Poster Display session
Resources:
Abstract
154P - The impact of proton pump inhibitors in the prognosis of patients with non-metastatic nasopharyngeal carcinoma
Presenter: João Barbosa Martins
Session: Cocktail & Poster Display session
Resources:
Abstract
155P - Use of machine learning for the identification of molecular biomarkers to predict response to neoadjuvant chemotherapy in locally advanced breast cancer patients
Presenter: María Del Río Pisula
Session: Cocktail & Poster Display session
Resources:
Abstract
156P - Molecularly driven therapy recommended by a molecular tumor board: Accessible option or privilege for a minority of patients? A single-center experience from the Czech Republic
Presenter: Michal Eid
Session: Cocktail & Poster Display session
Resources:
Abstract
157P - PCM4EU academy: An educational program for precision oncology
Presenter: Loic Verlingue
Session: Cocktail & Poster Display session
Resources:
Abstract