Co-occurring BRCA2/SPOP Mutations Predict Exceptional Poly (ADP-ribose) Polymerase Inhibitor Sensitivity in Metastatic Castration-Resistant Prostate Cancer.

BRCA2 mutation Poly(ADP-ribose) polymerase inhibitors SPOP mutation

Journal

European urology oncology
ISSN: 2588-9311
Titre abrégé: Eur Urol Oncol
Pays: Netherlands
ID NLM: 101724904

Informations de publication

Date de publication:
09 Dec 2023
Historique:
received: 31 08 2023
revised: 06 11 2023
accepted: 21 11 2023
medline: 11 12 2023
pubmed: 11 12 2023
entrez: 10 12 2023
Statut: aheadofprint

Résumé

BRCA2 mutations in metastatic castration-resistant prostate cancer (mCRPC) confer sensitivity to poly (ADP-ribose) polymerase (PARP) inhibitors. However, additional factors predicting PARP inhibitor efficacy in mCRPC are needed. Preclinical studies support a relationship between speckle-type POZ protein (SPOP) inactivation and PARP inhibitor sensitivity. We hypothesized that SPOP mutations may predict enhanced PARP inhibitor response in BRCA2-altered mCRPC. We conducted a multicenter retrospective study involving 13 sites. We identified 131 patients with BRCA2-altered mCRPC treated with PARP inhibitors, 14 of which also carried concurrent SPOP mutations. The primary efficacy endpoint was prostate-specific antigen (PSA) response rate (≥50% PSA decline). The secondary endpoints were biochemical progression-free survival (PSA-PFS), clinical/radiographic progression-free survival (PFS), and overall survival (OS). These were compared by multivariable Cox proportional hazard models adjusting for age, tumor stage, baseline PSA level, Gleason sum, prior therapies, BRCA2 alteration types, and co-occurring mutations. Baseline characteristics were similar between groups. PSA responses were observed in 60% (70/117) of patients with BRCA2mut/SPOPwt disease and in 86% (12/14) of patients with BRCA2mut/SPOPmut disease (p = 0.06). The median time on PARP inhibitor treatment was 24.0 mo (95% confidence interval [CI] 19.2 mo to not reached) in this group versus 8.0 mo (95% CI 6.1-10.9 mo) in patients with BRCA2 mutation alone (p = 0.05). In an unadjusted analysis, patients with BRCA2mut/SPOPmut disease experienced longer PSA-PFS (hazard ratio [HR] 0.33 [95% CI 0.15-0.72], p = 0.005) and clinical/radiographic PFS (HR 0.4 [95% CI 0.18-0.86], p = 0.02), and numerically longer OS (HR 0.4 [95% CI 0.15-1.12], p = 0.08). In a multivariable analysis including histology, Gleason sum, prior taxane, prior androgen receptor pathway inhibitor, stage, PSA, BRCA2 alteration characteristics, and other co-mutations, patients with BRCA2mut/SPOPmut disease experienced longer PSA-PFS (HR 0.16 [95% CI 0.05-0.47], adjusted p = 0.001), clinical/radiographic PFS (HR 0.28 [95% CI 0.1-0.81], adjusted p = 0.019), and OS (HR 0.19 [95% CI 0.05-0.69], adjusted p = 0.012). In a separate cohort of patients not treated with a PARP inhibitor, there was no difference in OS between patients with BRCA2mut/SPOPmut versus BRCA2mut/SPOPwt disease (HR 0.97 [95% CI 0.40-2.4], p = 0.94). In a genomic signature analysis, Catalog of Somatic Mutations in Cancer (COSMIC) SBS3 scores predictive of homologous recombination repair (HRR) defects were higher for BRCA2mut/SPOPmut than for BRCA2mut/SPOPwt disease (p = 0.04). This was a retrospective study, and additional prospective validation cohorts are needed. In this retrospective analysis, PARP inhibitors appeared more effective in patients with BRCA2mut/SPOPmut than in patients with BRCA2mut/SPOPwt mCRPC. This may be related to an increase in HRR defects in coaltered disease. In this study, we demonstrate that co-alteration of both BRCA2 and SPOP predicts superior clinical outcomes to treatment with poly (ADP-ribose) polymerase (PARP) inhibitors than BRCA2 alteration without SPOP mutation.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
BRCA2 mutations in metastatic castration-resistant prostate cancer (mCRPC) confer sensitivity to poly (ADP-ribose) polymerase (PARP) inhibitors. However, additional factors predicting PARP inhibitor efficacy in mCRPC are needed. Preclinical studies support a relationship between speckle-type POZ protein (SPOP) inactivation and PARP inhibitor sensitivity. We hypothesized that SPOP mutations may predict enhanced PARP inhibitor response in BRCA2-altered mCRPC.
METHODS METHODS
We conducted a multicenter retrospective study involving 13 sites. We identified 131 patients with BRCA2-altered mCRPC treated with PARP inhibitors, 14 of which also carried concurrent SPOP mutations. The primary efficacy endpoint was prostate-specific antigen (PSA) response rate (≥50% PSA decline). The secondary endpoints were biochemical progression-free survival (PSA-PFS), clinical/radiographic progression-free survival (PFS), and overall survival (OS). These were compared by multivariable Cox proportional hazard models adjusting for age, tumor stage, baseline PSA level, Gleason sum, prior therapies, BRCA2 alteration types, and co-occurring mutations.
KEY FINDINGS AND LIMITATIONS UNASSIGNED
Baseline characteristics were similar between groups. PSA responses were observed in 60% (70/117) of patients with BRCA2mut/SPOPwt disease and in 86% (12/14) of patients with BRCA2mut/SPOPmut disease (p = 0.06). The median time on PARP inhibitor treatment was 24.0 mo (95% confidence interval [CI] 19.2 mo to not reached) in this group versus 8.0 mo (95% CI 6.1-10.9 mo) in patients with BRCA2 mutation alone (p = 0.05). In an unadjusted analysis, patients with BRCA2mut/SPOPmut disease experienced longer PSA-PFS (hazard ratio [HR] 0.33 [95% CI 0.15-0.72], p = 0.005) and clinical/radiographic PFS (HR 0.4 [95% CI 0.18-0.86], p = 0.02), and numerically longer OS (HR 0.4 [95% CI 0.15-1.12], p = 0.08). In a multivariable analysis including histology, Gleason sum, prior taxane, prior androgen receptor pathway inhibitor, stage, PSA, BRCA2 alteration characteristics, and other co-mutations, patients with BRCA2mut/SPOPmut disease experienced longer PSA-PFS (HR 0.16 [95% CI 0.05-0.47], adjusted p = 0.001), clinical/radiographic PFS (HR 0.28 [95% CI 0.1-0.81], adjusted p = 0.019), and OS (HR 0.19 [95% CI 0.05-0.69], adjusted p = 0.012). In a separate cohort of patients not treated with a PARP inhibitor, there was no difference in OS between patients with BRCA2mut/SPOPmut versus BRCA2mut/SPOPwt disease (HR 0.97 [95% CI 0.40-2.4], p = 0.94). In a genomic signature analysis, Catalog of Somatic Mutations in Cancer (COSMIC) SBS3 scores predictive of homologous recombination repair (HRR) defects were higher for BRCA2mut/SPOPmut than for BRCA2mut/SPOPwt disease (p = 0.04). This was a retrospective study, and additional prospective validation cohorts are needed.
CONCLUSIONS AND CLINICAL IMPLICATIONS CONCLUSIONS
In this retrospective analysis, PARP inhibitors appeared more effective in patients with BRCA2mut/SPOPmut than in patients with BRCA2mut/SPOPwt mCRPC. This may be related to an increase in HRR defects in coaltered disease.
PATIENT SUMMARY RESULTS
In this study, we demonstrate that co-alteration of both BRCA2 and SPOP predicts superior clinical outcomes to treatment with poly (ADP-ribose) polymerase (PARP) inhibitors than BRCA2 alteration without SPOP mutation.

Identifiants

pubmed: 38072760
pii: S2588-9311(23)00277-8
doi: 10.1016/j.euo.2023.11.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Jacob J Orme (JJ)

Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.

Fadi Taza (F)

Division of Hematology & Medical Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Navonil De Sarkar (N)

Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.

Alok K Tewari (AK)

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

Syed Arsalan Naqvi (S)

Division of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ, USA.

Irbaz B Riaz (IB)

Division of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ, USA.

Daniel S Childs (DS)

Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA.

Noha Omar (N)

Ascension St Agnes Hospital, Baltimore, MD, USA.

Nabil Adra (N)

Division of Hematology & Medical Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Ryan Ashkar (R)

Division of Hematology & Medical Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Heather H Cheng (HH)

University of Washington and Fred Hutchinson Cancer Center, Seattle, WA, USA.

Michael T Schweizer (MT)

University of Washington and Fred Hutchinson Cancer Center, Seattle, WA, USA.

Alexandra O Sokolova (AO)

Oregon Health Sciences University, Portland, OR, USA.

Neeraj Agarwal (N)

Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Pedro Barata (P)

UH Seidman Cancer Center, Cleveland, OH, USA.

Oliver Sartor (O)

Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA.

Diogo Bastos (D)

Oncology Center, Hospital Sírio-Libanês, São Paulo, Brazil.

Oren Smaletz (O)

Hospital Israelita Albert Einstein, São Paulo, Brazil.

Jacob E Berchuck (JE)

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

Heather McClure (H)

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

Mary-Ellen Taplin (ME)

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

Rahul Aggarwal (R)

University of California San Francisco, San Francisco, CA, USA.

Cora N Sternberg (CN)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

Panagiotis J Vlachostergios (PJ)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

Ajjai S Alva (AS)

University of Michigan, Ann Arbor, MI, USA.

Niven Mehra (N)

Radboud University, Nijmegen, The Netherlands.

Peter S Nelson (PS)

University of Washington and Fred Hutchinson Cancer Center, Seattle, WA, USA.

Justin Hwang (J)

Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA.

Scott M Dehm (SM)

Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, Minneapolis, MN, USA; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA; Department of Urology, University of Minnesota, Minneapolis, MN, USA.

Qian Shi (Q)

Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Zoe Fleischmann (Z)

Foundation Medicine Inc, Cambridge, MA, USA.

Ethan S Sokol (ES)

Foundation Medicine Inc, Cambridge, MA, USA.

Andrew Elliott (A)

Caris Life Sciences, Irving, TX, USA.

Haojie Huang (H)

Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.

Alan Bryce (A)

Division of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ, USA.

Catherine H Marshall (CH)

Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Emmanuel S Antonarakis (ES)

Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, Minneapolis, MN, USA. Electronic address: anton401@umn.edu.

Classifications MeSH