Stanislav V. Volik

This study uses longitudinal scRNA-seq to track neuroendocrine transdifferentiation in a prostate cancer model, identifying transcriptional changes and key regulators during treatment-induced NEPC progression.

This study identifies rare germline variants associated with metastatic prostate cancer using an extreme phenotype cohort and validates their functional impact.

This paper identifies m-APTA, an MTA analogue that reduces NBA toxicity without hypothermia, improving safety for MTAP-deficient cancer treatment.

This study shows AR-V7 forms condensates independently of androgens and AR-FL in CRPC, driving oncogenic transcription through both condensate-dependent and -independent mechanisms.

ScRAT predicts clinical phenotypes from scRNA-seq data using attention-based neural networks, outperforming existing methods with limited samples and identifying critical cell types.