Abstract 3312
Background
Salvage radiotherapy (SRT) is a potentially curative option for patients with rising PSA (biochemical recurrence) after radical prostatectomy. Recently, success rates of SRT were significantly improved through the use of concomitant anti-androgen (AAT) or androgen-deprivation (ADT) therapy. In RTOG 96-01, 2 years of bicalutamide 150 mg resulted in a 5% OS benefit at 12-years. In GETUG-AFU 16, 5-year progression-free survival was significantly improved when SRT was combined with 6 months of an LHRH agonist. Based on GETUG-AFU 16, most European urologists and (radiation) oncologists now combine SRT with at least 6 months of ADT. However, ADT comes with several serious side-effects, both physical (cardiovascular, metabolic, musculoskeletal) and psychological (sexual, emotional and cognitive). Considering RTOG 96-01, and in view of new AAT options, it appears worthwhile to look for alternatives. In that respect, apalutamide (ERLEADA®), a next-generation anti-androgen, is an interesting candidate.
Trial design
This is a phase II randomized, open-label study comparing SRT in combination with 6 months of LHRH (ant)agonist (arm A) versus 6 cycles of apalutamide 240 mg daily (each cycle is 28 +/- 2 days) (arm B) in hormone-naïve patients with biochemical recurrence (PSA > 0.1 µg/L at least 8 weeks after radical prostatectomy). Patients with severe erectile dysfunction are excluded. All subjects will receive SRT as standard of care and will be randomly assigned in a 1:1 ratio to arm A or B. Primary objective is to compare sexual function, based on the EPIC-26 sexual domain score, at 9 months (i.e. 3 months after the end of hormonal treatment). Secondary endpoints include general quality of life (EPIC-26, EORTC QLQ C30 and PR25, FACT-P), acute as well as late toxicity (CTCAE version 5.0), and PSA (complete) response rates (i.e. decline from baseline in PSA level of 80% (90%) or greater). The trial was approved by the local ethics committee on April 2nd 2019 and started recruiting immediately thereafter.
Clinical trial identification
NCT03899077; 2018-004365-13.
Editorial acknowledgement
Legal entity responsible for the study
GZA Hospitals.
Funding
Janssen.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract