Loss of <i>SNAI2</i> in Prostate Cancer Correlates With Clinical Response to Androgen Deprivation Therapy.
Where this comes from
- Record sourced from PubMed, PMID 34322653.
- Also identified by DOI 10.1200/PO.20.00337 and PMC identifier 8238292.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Androgen receptor (AR) signaling is important in prostate cancer progression, and therapies that target this pathway have been the mainstay of treatment for advanced disease for over 70 years. Tumors eventually progress despite castration through a number of well-characterized mechanisms; however, little is known about what determines the magnitude of response to short-term pathway inhibition. We evaluated a novel combination of AR-targeting therapies (degarelix, abiraterone, and bicalutamide) and noted that the objective patient response to therapy was highly variable. To investigate what was driving treatment resistance in poorly responding patients, as a secondary outcome we comprehensively characterized pre- and post-treatment samples using both whole-genome and RNA sequencing. We find that resistance following short-term treatment differs molecularly from typical progressive castration-resistant disease, associated with transcriptional reprogramming, to a transitional epithelial-to-mesenchymal transition (EMT) phenotype rather than an upregulation of AR signaling. Unexpectedly, tolerance to therapy appears to be the default state, with treatment response correlating with the prevalence of tumor cells deficient for <i>SNAI2</i>, a key regulator of EMT reprogramming. We show that EMT characterizes acutely resistant prostate tumors and that deletion of <i>SNAI2</i>, a key transcriptional regulator of EMT, correlates with clinical response.
Medical subject headings
- Androgen Antagonists
- Antineoplastic Agents, Hormonal
- Epithelial-Mesenchymal Transition
- Prostatic Neoplasms, Castration-Resistant
- Snail Family Transcription Factors