Dynamic plasticity of prostate cancer intermediate cells during androgen receptor-targeted therapy.


Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
26 07 2022
Historique:
received: 31 03 2022
revised: 25 04 2022
accepted: 30 06 2022
entrez: 29 7 2022
pubmed: 30 7 2022
medline: 3 8 2022
Statut: ppublish

Résumé

Treatment-emergent small cell neuroendocrine prostate cancer (t-SCNC) is associated with an epithelial lineage switch from an androgen receptor (AR)-positive to neuroendocrine (NE)-marker-positive status. Understanding the potential for reversibility of this aggressive disease state has been hampered by the paucity of models suitable for studying rate-limiting, transitional, or intermediate tumor cell subpopulations. We define a dual reporter model that measures acute transcriptional changes in response to castration or AR targeting agents. We identify steady-state transcriptional heterogeneity in AR and NE biomarkers, including intermediate subpopulations that are coordinately high for prostate-specific antigen (PSA) and neuron-specific enoclase (NSE) promoter activity. In the presence of castration or AR inhibitors, intermediate cells were necessary and sufficient for therapy-induced conversion of human PC cells to an NSE-high transcriptional status. Using hormone add-back studies, treatment-induced PSA-NSE transcriptional plasticity was reversible in PTEN-deficient PC cells but not in the presence of secondary genetic driver genes, including MYCN.

Identifiants

pubmed: 35905714
pii: S2211-1247(22)00929-9
doi: 10.1016/j.celrep.2022.111123
pii:
doi:

Substances chimiques

Androgen Receptor Antagonists 0
Receptors, Androgen 0
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

111123

Subventions

Organisme : NCI NIH HHS
ID : R01 CA197910
Pays : United States

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Harkirat S Sandhu (HS)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Kensey L Portman (KL)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Xianxiao Zhou (X)

Department of Genetics and Genomic Sciences, New York, 10029, USA; Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Julia Zhao (J)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Alexander Rialdi (A)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

John P Sfakianos (JP)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Ernesto Guccione (E)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Bioinformatics for Next Generation Sequencing (BiNGS) Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Natasha Kyprianou (N)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Bin Zhang (B)

Department of Genetics and Genomic Sciences, New York, 10029, USA; Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

David J Mulholland (DJ)

Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: david.mulholland@mmsm.edu.

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Classifications MeSH