Role of Circulating Tumor Cells (CTC), Androgen Receptor Full Length (AR-FL) and Androgen Receptor Splice Variant 7 (AR-V7) in a Prospective Cohort of Castration-Resistant Metastatic Prostate Cancer Patients.

AR-FL AR-V7 castration-resistant prostate cancer circulating tumor cells prognostic biomarkers

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
13 Sep 2019
Historique:
received: 19 07 2019
revised: 06 09 2019
accepted: 10 09 2019
entrez: 22 9 2019
pubmed: 22 9 2019
medline: 22 9 2019
Statut: epublish

Résumé

Circulating tumor cells (CTC), androgen receptor full-length (AR-FL), and androgen receptor splice variant 7 (AR-V7) are prognostic in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC). AR-V7 seems to predict resistance to androgen-receptor signaling inhibitors (ARSi). We assessed the association of CTC, AR-FL, and AR-V7 with prostate-specific antigen (PSA) response and overall survival (OS). We used a modified AdnaTest CTC-based AR-FL and AR-V7 mRNA assay. Chi-square test, Fisher Exact test, Kaplan-Meier method, log-rank test, Cox proportional hazards models were used as appropriate. We enrolled 39 mCRPC pts, of those 24 started a first-line treatment for mCRPC (1L subgroup) and 15 had received at least two lines for mCRPC (>2L subgroup). CTC, AR-FL, and AR-V7 were enriched in >2L compared to 1L subgroup. Detection of these biomarkers was associated with a lower percentage of biochemical responses. Only 1/7 AR-V7+ pts had a PSA response and received cabazitaxel. Median OS was 4.7 months (95% CI 0.6-8.9) in AR-V7+ pts and not reached in AR-V7- pts. AR-V7 was the only variable with prognostic significance in the Cox model. AR-V7, CTC, and AR-FL are associated with advanced mCRPC and AR-V7+ predicts for shorter OS.

Sections du résumé

BACKGROUND BACKGROUND
Circulating tumor cells (CTC), androgen receptor full-length (AR-FL), and androgen receptor splice variant 7 (AR-V7) are prognostic in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC). AR-V7 seems to predict resistance to androgen-receptor signaling inhibitors (ARSi).
METHODS METHODS
We assessed the association of CTC, AR-FL, and AR-V7 with prostate-specific antigen (PSA) response and overall survival (OS). We used a modified AdnaTest CTC-based AR-FL and AR-V7 mRNA assay. Chi-square test, Fisher Exact test, Kaplan-Meier method, log-rank test, Cox proportional hazards models were used as appropriate.
RESULTS RESULTS
We enrolled 39 mCRPC pts, of those 24 started a first-line treatment for mCRPC (1L subgroup) and 15 had received at least two lines for mCRPC (>2L subgroup). CTC, AR-FL, and AR-V7 were enriched in >2L compared to 1L subgroup. Detection of these biomarkers was associated with a lower percentage of biochemical responses. Only 1/7 AR-V7+ pts had a PSA response and received cabazitaxel. Median OS was 4.7 months (95% CI 0.6-8.9) in AR-V7+ pts and not reached in AR-V7- pts. AR-V7 was the only variable with prognostic significance in the Cox model.
CONCLUSION CONCLUSIONS
AR-V7, CTC, and AR-FL are associated with advanced mCRPC and AR-V7+ predicts for shorter OS.

Identifiants

pubmed: 31540293
pii: cancers11091365
doi: 10.3390/cancers11091365
pmc: PMC6770005
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Carlo Cattrini (C)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. carlo.cattrini@gmail.com.
Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy. carlo.cattrini@gmail.com.

Alessandra Rubagotti (A)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. alessandra.rubagotti@unige.it.
Department of Health Sciences (DISSAL), School of Medicine, University of Genoa, 16132 Genoa, Italy. alessandra.rubagotti@unige.it.

Linda Zinoli (L)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. datamanager.omb@unige.it.

Luigi Cerbone (L)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. gigcer@gmail.com.
Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy. gigcer@gmail.com.

Elisa Zanardi (E)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. elisa.zanardi@unige.it.
Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy. elisa.zanardi@unige.it.

Matteo Capaia (M)

Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy. matteo.capaia@hsanmartino.it.

Paola Barboro (P)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. paola.barboro@hsanmartino.it.

Francesco Boccardo (F)

Academic Unit of Medical Oncology, IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy. fboccardo@unige.it.
Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy. fboccardo@unige.it.

Classifications MeSH