Evidence map›Paper›PMID 40694485›Full record

ArticleThe oncologist2025

Enhancing outcomes in mCRPC: the impact of androgen receptor inhibitor sequencing before 177Lu-PSMA-617 therapy.

Satı Coşkun Yazgan, Kamil Kayaş, Çağatay Arslan, Caner Kapar, Şura Öztekin, Furkan Ceylan, Hatice Bölek, Umut Elboğa, Öztürk Ateş, Deniz Tural and 6 more

Abstract read
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Satı Coşkun YazganDepartment of Medical Oncology, Ankara University School of Medicine, Ankara 06620, Turkey.
Kamil KayaşDepartment of Medical Oncology, Gaziantep University School of Medicine, Gaziantep 27310, Turkey.
Çağatay ArslanDepartment of Medical Oncology, Izmir University of Economics, Medical Point Hospital, Izmir 35330, Turkey.
Caner KaparDepartment of Medical Oncology, Koç University School of Medicine, Istanbul 34010, Turkey.
Şura ÖztekinDr Abdurrahman Yurtaslan Ankara Oncology Education and Research Hospital, Health Sciences University, Ankara 06200, Turkey.
Furkan CeylanDepartment of Medical Oncology, Bilkent City Hospital, Ankara 06800, Turkey.
Hatice BölekDepartment of Medical Oncology, Ankara University School of Medicine, Ankara 06620, Turkey.
Umut ElboğaDepartment of Nuclear Medicine, Gaziantep University Şahinbey Training and Research Hospital, Şahinbey, Gaziantep 27310, Turkey.
Öztürk AteşDr Abdurrahman Yurtaslan Ankara Oncology Education and Research Hospital, Health Sciences University, Ankara 06200, Turkey.
Deniz TuralDepartment of Medical Oncology, Koç University School of Medicine, Istanbul 34010, Turkey.
Tülay KuşDepartment of Medical Oncology, Gaziantep University School of Medicine, Gaziantep 27310, Turkey.
Mehmet Ali Nahit ŞendurDepartment of Medical Oncology, Bilkent City Hospital, Ankara 06800, Turkey.
Emre YekedüzDepartment of Medical Oncology, Ankara University School of Medicine, Ankara 06620, Turkey.
Nuriye Özlem KüçükDepartment of Nuclear Medicine, Ankara University School of Medicine, Ankara 06620, Turkey.
Elif Çıngı ÖzdemirDepartment of Nuclear Medicine, Ankara Bilkent City Hospital, Ankara 06800, Turkey.
Yüksel ÜrünDepartment of Medical Oncology, Ankara University School of Medicine, Ankara 06620, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate-specific membrane antigen (PSMA) is a key target in metastatic castration resistance prostate cancer (mCRPC). Enzalutamide, an androgen receptor pathway inhibitor (ARPi), increases PSMA expression, potentially enhancing 177Lu-PSMA-617 radioligand therapy. This study evaluates the impact of prior ARPi (enzalutamide vs abiraterone acetate [AA]) on PSMA expression, PFS, and OS. MATERIALS AND

methodsA retrospective analysis of 214 mCRPC patients treated with 177Lu-PSMA-617 across six Turkish centers (2015-2025) was conducted. Patients were grouped by prior ARPi therapy. PFS and OS were analyzed using Kaplan-Meier and Cox regression methods.

resultsAmong 103 patients receiving ARPi before 177Lu-PSMA-617, 59 (57%) had enzalutamide and 44 (43%) AA. Median PFS was 7.6 months for enzalutamide versus 5.3 months for AA (P = .068). Median OS was significantly longer with enzalutamide (12.8 vs 6.9 months, P = .021). Patients with Eastern Cooperative Oncology Group Performance Scores (ECOG PS) 0-1 had significantly longer OS (27.6 vs 6.9 months for PS 2-3, P < .0001). Higher PSMA SUVmax (>20) correlated with longer OS (15.1 vs 7.8 months, P = .016). Among 86 patients with detectable PSMA SUVmax, 53 had SUVmax > 20; 66% had prior enzalutamide and 34% AA. Median OS was four months longer with enzalutamide (18.1 vs 13.9 months P = .120). Multivariate analysis identified ARPi type (HR: 2.24, P = .033) and ECOG PS (HR: 5.22, P < .0001) as independent OS predictors.

conclusionEnzalutamide prior to 177Lu-PSMA-617 significantly improves OS and enhances PSMA expression compared to AA. These findings highlight the importance of treatment sequencing in mCRPC and warrant further prospective studies.

Indexed as

Androgen Receptor AntagonistsDipeptidesHeterocyclic Compounds, 1-RingProstatic Neoplasms, Castration-ResistantAgedAged, 80 and overBenzamidesHumansLutetiumMaleMiddle AgedNitrilesPhenylthiohydantoinProstate-Specific AntigenRadioisotopesReceptors, AndrogenAndrogen Receptor AntagonistsBenzamidesDipeptidesenzalutamideHeterocyclic Compounds, 1-RingLutetiumLutetium-177NitrilesPhenylthiohydantoinProstate-Specific AntigenPSMA-617RadioisotopesReceptors, Androgen177Lu-PSMA-617Abiraterone acetateARPiEnzalutamidePSMA

Identifiers

PMID40694485
PMCPMC12404291

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.