Molecular Profile Changes in Patients with Castrate-Resistant Prostate Cancer Pre- and Post-Abiraterone/Prednisone Treatment.


Journal

Molecular cancer research : MCR
ISSN: 1557-3125
Titre abrégé: Mol Cancer Res
Pays: United States
ID NLM: 101150042

Informations de publication

Date de publication:
02 12 2022
Historique:
received: 30 01 2022
revised: 05 07 2022
accepted: 02 09 2022
pubmed: 23 9 2022
medline: 6 12 2022
entrez: 22 9 2022
Statut: ppublish

Résumé

We identified resistance mechanisms to abiraterone acetate/prednisone (AA/P) in patients with metastatic castration-resistant prostate cancer (mCRPC) in the Prostate Cancer Medically Optimized Genome-Enhanced Therapy (PROMOTE) study. We analyzed whole-exome sequencing (WES) and RNA-sequencing data from 83 patients with metastatic biopsies before (V1) and after 12 weeks of AA/P treatment (V2). Resistance was determined by time to treatment change (TTTC). At V2, 18 and 11 of 58 patients had either short-term (median 3.6 months; range 1.4-4.5) or long-term (median 29 months; range 23.5-41.7) responses, respectively. Nonresponders had low expression of TGFBR3 and increased activation of the Wnt pathway, cell cycle, upregulation of AR variants, both pre- and posttreatment, with further deletion of AR inhibitor CDK11B posttreatment. Deletion of androgen processing genes, HSD17B11, CYP19A1 were observed in nonresponders posttreatment. Genes involved in cell cycle, DNA repair, Wnt-signaling, and Aurora kinase pathways were differentially expressed between the responder and non-responder at V2. Activation of Wnt signaling in nonresponder and deactivation of MYC or its target genes in responders was detected via SCN loss, somatic mutations, and transcriptomics. Upregulation of genes in the AURKA pathway are consistent with the activation of MYC regulated genes in nonresponders. Several genes in the AKT1 axis had increased mutation rate in nonresponders. We also found evidence of resistance via PDCD1 overexpression in responders. Finally, we identified candidates drugs to reverse AA/P resistance: topoisomerase inhibitors and drugs targeting the cell cycle via the MYC/AURKA/AURKB/TOP2A and/or PI3K_AKT_MTOR pathways.

Identifiants

pubmed: 36135372
pii: 709330
doi: 10.1158/1541-7786.MCR-22-0099
pmc: PMC9716248
mid: NIHMS1836596
doi:

Substances chimiques

abiraterone G819A456D0
Prednisone VB0R961HZT
Aurora Kinase A EC 2.7.11.1
Abiraterone Acetate EM5OCB9YJ6

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1739-1750

Subventions

Organisme : NCI NIH HHS
ID : P30 CA015083
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA174777
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA270539
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM125633
Pays : United States

Informations de copyright

©2022 The Authors; Published by the American Association for Cancer Research.

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Auteurs

Hugues Sicotte (H)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Krishna R Kalari (KR)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Sisi Qin (S)

Department of Pathology, The University of Chicago., Chicago, Illinois.

Scott M Dehm (SM)

Masonic Cancer Center and Departments of Laboratory Medicine and Pathology and Urology, University of Minnesota, Minneapolis, Minnesota.

Vipul Bhargava (V)

Janssen Research and Development, Spring House, Pennsylvania.

Michael Gormley (M)

Janssen Research and Development, Spring House, Pennsylvania.

Winston Tan (W)

Department of Medicine, Mayo Clinic, Jacksonville, Florida.

Jason P Sinnwell (JP)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

David W Hillman (DW)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Ying Li (Y)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Peter T Vedell (PT)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Rachel E Carlson (RE)

Division of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Alan H Bryce (AH)

Division of Hematology & Medical Oncology, Mayo Clinic, Rochester, Minnesota.

Raphael E Jimenez (RE)

Department of Pathology, The University of Chicago., Chicago, Illinois.

Richard M Weinshilboum (RM)

Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.

Manish Kohli (M)

Department of Internal Medicine, University of Utah and Huntsman Cancer Institute, Salt Lake City, Utah.

Liewei Wang (L)

Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.

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Classifications MeSH