Presence of an Artificial Intelligence-powered Predictive Biomarker Is Associated with a Poor Response to Intravesical Bacillus Calmette-Guerin but Not to Intravesical Sequential Gemcitabine/Docetaxel in Patients with High-grade Non-muscle-invasive Bladder Cancer.

ABSTRACT: Intravesical bacillus Calmette-Guerin (BCG) is considered first-line adjuvant therapy for high-risk or high-grade non-muscle-invasive bladder cancer (NMIBC). Recently, sequential intravesical gemcitabine and docetaxel (Gem/Doce) has emerged as a promising alternative to intravesical BCG. Biomarkers to select the optimal treatment regimen could facilitate clinical decision-making. The Computational Histologic Artificial Intelligence (CHAI) platform was previously used to develop an artificial intelligence-augmented histologic assay (CHAI biomarker) that identified patients with NMIBC at an increased risk of recurrence and progression events following BCG treatment. In this study, we assessed use of the CHAI biomarker among patients with treatment-naive high-grade NMIBC who received intraves

SUBMITTER: Packiam VT 

PROVIDER: S-EPMC12907750 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature