The widespread use of potent androgen receptor signaling inhibitors (ARSIs) has led to an increasing emergence of AR-independent castration-resistant prostate cancer (CRPC), typically driven by loss of AR expression, lineage plasticity, and transformation to prostate cancers (PCs) that exhibit phenotypes of neuroendocrine or basal-like cells. The anti-apoptotic protein BCL2 is upregulated in neuroendocrine cancers and may be a therapeutic target for this aggressive PC disease subset. There is an unmet clinical need, therefore, to clinically characterize BCL2 expression in metastatic CRPC (mCRPC), determine its association with AR expression, uncover its mechanisms of regulation, and evaluate BCL2 as a therapeutic target and/or biomarker with clinical utility. Here, using multiple PC biopsy cohorts and models, we demonstrate that BCL2 expression is enriched in AR-negative mCRPC, associating with shorter overall survival and resistance to ARSIs. Moreover, high BCL2 expression associates with lineage plasticity features and neuroendocrine marker positivity. We provide evidence that BCL2 expression is regulated by DNA methylation, associated with epithelial-mesenchymal transition, and increased by the neuronal transcription factor ASCL1. Finally, BCL2 inhibition had antitumor activity in some, but not all, BCL2-positive PC models, highlighting the need for combination strategies to enhance tumor cell apoptosis and enrich response.
Daniel Westaby, Juan M. Jiménez-Vacas, Ines Figueiredo, Jan Rekowski, Claire Pettinger, Bora Gurel, Arian Lundberg, Denisa Bogdan, Lorenzo Buroni, Antje Neeb, Ana Padilha, Joe Taylor, Wanting Zeng, Souvik Das, Emily Hobern, Ruth Riisnaes, Mateus Crespo, Susana Miranda, Ana Ferreira, Brian P. Hanratty, Daniel Nava Rodrigues, Claudia Bertan, George Seed, Maria de Los Dolores Fenor de La Maza, Christina Guo, Juliet Carmichael, Rafael Grochot, Khobe Chandran, Anastasia Stavridi, Andreas Varkaris, Nataly Stylianou, Brett G. Hollier, Nina Tunariu, Steven P. Balk, Suzanne Carreira, Wei Yuan, Peter S. Nelson, Eva Corey, Michael Haffner, Johann de Bono, Adam Sharp
Usage data is cumulative from September 2024 through May 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 3,746 | 379 |
609 | 85 | |
Figure | 957 | 0 |
Supplemental data | 263 | 30 |
Citation downloads | 59 | 0 |
Totals | 5,634 | 494 |
Total Views | 6,128 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.