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Mahammedi, Hakim

0000-0002-7596-2357

Mayo Clinic

Centre Jean Perrin

Citations 3

Phase III trial of [177Lu]Lu-PSMA-617 combined with ADT+ARPI in patients with PSMA-positive metastatic hormone-sensitive prostate cancer (PSMAddition)
Tagawa, S, Sartor, O, Piulats, J M, Saad, F, Fizazi, K, Reid, A H, Beltran, H, Kramer, G, Eiber, M, Gupta, S, Gauna, D E Castellano, Hauke, R, Kim, H, Pang, S-T., Bouillaud, Emmanuel, Zhang, A., Sakharova, O, Morris, M J, Piulats, Josep M. , Saad, Fred , Fizazi, Karim , Reid, A H, Mahammedi, Hakim , Gupta, Shilpa , Gauna, D.E. Castellano, Hauke, Ralph J. , Kwak, Cheol Hun , Zhang, Alison Yan , Sakharova, Olga V., Morris, Michael J.

Nuklearmedizin - NuclearMedicine | April 2, 2026 | Volume: 65 | Issue: 02 | Pages: 107-107

10.1055/s-0046-1818191 Get It

Association of baseline and on-treatment ctDNA fraction with clinical outcomes in patients with mCRPC in the PSMAfore study of 177 Lu-PSMA-617.
Bono, Johann S. de , Sartor, Alton Oliver, Wei, Xiao X. , Fizazi, Karim , George, Daniel J. , Wong, Connie, Barys, Louise, Rajagopal, Nisha, Alanee, Shaheen , de Bono, Johann , Morris, Michael J. , Hermann, Ken , Piulats, Josep M. , Mahammedi, Hakim , Logothetis, Christopher J. , Wong, Connie, N., Kim

Journal of Clinical Oncology | February 18, 2025 | Volume: 43 | Issue: 5_suppl | Pages: 16-16

10.1200/jco.2025.43.5_suppl.16 Get It

16 Background: In PSMAfore (NCT04689828), [ 177 Lu]Lu-PSMA-617 ( 177 Lu-PSMA-617) prolonged rPFS versus androgen receptor pathway inhibitor (ARPI) change in taxane-naive adults with PSMA-positive metastatic castration-resistant prostate cancer (mCRPC) progressing once on an ARPI. Baseline circulating tumor DNA (ctDNA) fraction was associated with rPFS at the second interim analysis (IA) of OS (ASCO 24). Here, we assessed the association of baseline and cycle 2 day 1 (C2D1) ctDNA fraction, and early ctDNA and prostate-specific antigen (PSA) dynamics, with rPFS and OS at the third IA of OS. Methods: Patients were randomized 1:1 to 177 Lu-PSMA-617 (7.4 GBq Q6W; x6) or ARPI change. Endpoints included rPFS (primary) and OS (key secondary). Plasma ctDNA fraction was analyzed at baseline and at C2D1 using an in-house custom panel. Cox regression (adjusted for 3 risk classes based on clustering of 17 baseline clinical features) and random forest (adjusted for 15 baseline clinical features) modeling were used to assess the association of ctDNA fraction and PSA with clinical outcomes at the Feb-27-2024 data cutoff. Results: Patients with plasma samples at baseline and C2D1 were included ( 177 Lu-PSMA-617, n/N = 82/234; ARPI change, n/N = 91/234). Cox regression models adjusted for clinical features in the 177 Lu-PSMA-617 arm showed that higher ctDNA fraction was associated with shorter rPFS and OS (Table). These associations were stronger for C2D1 than baseline, both when comparing individual models and within a model including both timepoints (Table). In random forest models including clinical features and C2D1 ctDNA fraction, the total area under curves were not improved by addition of baseline ctDNA fraction (rPFS, 0.87; OS, 0.86). In the overall population, fractional decreases from baseline to C2D1 in ctDNA ( p = 0.0015) and PSA ( p < 0.0001) were strongly associated with longer rPFS, and were weakly correlated with one another (correlation coefficient, 0.26). In the 177 Lu-PSMA-617 arm, fractional decrease in ctDNA ( p = 0.002) was more strongly correlated with OS than was decrease in PSA ( p = 0.12). Conclusions: This exploratory analysis suggested that C2D1 ctDNA fraction was more strongly associated than baseline ctDNA fraction with rPFS and OS. Early ctDNA fraction dynamics contributed additional information in the prediction of rPFS and OS beyond PSA dynamics alone. Clinical trial information: NCT04689828 . Cox regression models. a rPFS OS Baseline model, HR (95% CI); p 6.0 (1.6–23.0); 0.0095 12.0 (3.0–48.7); 0.00052 C-index ± SE 0.69 ± 0.04 0.75 ± 0.04 C2D1 model, HR (95% CI); p 47.7 (10.1–226.0); < 0.0001 82.7 (16.4–417.0); < 0.0001 C-index ± SE 0.72 ± 0.03 0.77 ± 0.03 Baseline + C2D1 model Baseline, HR (95% CI); p 3.1 (0.7–14.0); 0.14 2.1 (0.4–12.7); 0.41 C2D1, HR (95% CI); p 35.9 (7.2–180.0); < 0.0001 52.5 (7.6–362.0); < 0.0001 C-index ± SE 0.72 ± 0.03 0.79 ± 0.03 a HRs correspond to 1 unit change in ctDNA fraction.
Baseline ctDNA analyses and associations with outcomes in taxane-naive patients with mCRPC treated with 177Lu-PSMA-617 versus change of ARPI in PSMAfore.
Wei, Xiao X. , Fizazi, Karim , George, Daniel J. , Eldjerou, Lamis, Wong, Connie, Barys, Louise, Rajagopal, Nisha, Rodosthenous, Theodoulos, Bono, Johann S. de , Morris, Michael J. , Sartor, Oliver , Hermann, Ken , Piulats, Josep M. , Mahammedi, Hakim , Logothetis, Christopher J. , Wong, Connie, N., Kim

Journal of Clinical Oncology | June 6, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 5008-5008

10.1200/jco.2024.42.16_suppl.5008 Get It

5008 Background: [177Lu]Lu-PSMA-617 (177Lu-PSMA-617) prolonged radiographic progression-free survival (rPFS) versus androgen receptor pathway inhibitor (ARPI) change in taxane-naive patients with metastatic castration-resistant prostate cancer (mCRPC) in PSMAfore (NCT04689828). In this exploratory analysis, associations between baseline circulating tumor DNA (ctDNA) and outcomes were assessed. Methods: Patients were randomized 1:1 to 177Lu-PSMA-617 (7.4 GBq Q6W; 6 cycles) or ARPI change (abiraterone/enzalutamide). Patients known to have actionable mutations (e.g. BRCA) were excluded. The primary endpoint was rPFS. Baseline plasma ctDNA was analyzed using a customized 585-gene sequencing assay. ctDNA fraction was assessed in all samples passing quality control. Alterations in key prostate cancer drivers (prevalent in >10% participants) were assessed in samples with ctDNA fraction >1%. Univariate Cox regression (reference: ARPI change) was used to assess association of ctDNA fraction or alterations with rPFS, prostate-specific antigen response (≥50% decline; PSA50) and RECIST response (RR) at the June 21, 2023 data cutoff. Results: Of 360 samples from 468 patients, 255 passed quality control and 156 had ctDNA fraction >1% (median 5.85%; range 0–85). Detection of ctDNA alterations was comparable between arms and with published data. Median rPFS was shorter for patients with ctDNA fraction > versus ≤1% (HR 2.753; 95% CI 1.957–3.872; p<0.0001) (Table); ctDNA fraction >1% was also associated with worse RR and PSA50 response. Median rPFS was shorter for patients with detected versus undetected AR(HR 1.954; 95% CI 1.333–2.865; p<0.001), TP53(1.655; 1.13–2.426; p<0.01) and PTEN(1.62; 1.018–2.578; p<0.05) alterations. Median rPFS was longer with 177Lu-PSMA-617 versus ARPI change in patients with detected AR, TP53, PTEN(Table) , PI3K pathway and DNA repair pathway alterations. There was no significant association between ctDNA alterations and PSA50 or RR. Conclusions: ctDNA fraction >1% and AR, TP53and PTENalterations were associated with worse outcomes in PSMAfore regardless of treatment. Nonetheless, patients with these negative prognostic biomarkers did better with 177Lu-PSMA-617 than with ARPI change. Clinical trial information: NCT04689828 . [Table: see text]