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Title:

Nomograms to predict outcomes after 177Lu-PSMA therapy in men with metastatic castration-resistant prostate cancer: an international, multicentre, retrospective study.

Document type:
Journal Article
Author(s):
Gafita, Andrei; Calais, Jeremie; Grogan, Tristan R; Hadaschik, Boris; Wang, Hui; Weber, Manuel; Sandhu, Shahneen; Kratochwil, Clemens; Esfandiari, Rouzbeh; Tauber, Robert; Zeldin, Anna; Rathke, Hendrik; Armstrong, Wesley R; Robertson, Andrew; Thin, Pan; D'Alessandria, Calogero; Rettig, Matthew B; Delpassand, Ebrahim S; Haberkorn, Uwe; Elashoff, David; Herrmann, Ken; Czernin, Johannes; Hofman, Michael S; Fendler, Wolfgang P; Eiber, Matthias
Abstract:
BACKGROUND: Lutetium-177 (177Lu) prostate-specific membrane antigen (177Lu-PSMA) is a novel targeted treatment for patients with metastatic castration-resistant prostate cancer (mCRPC). Predictors of outcomes after 177Lu-PSMA to enhance its clinical implementation are yet to be identified. We aimed to develop nomograms to predict outcomes after 177Lu-PSMA in patients with mCRPC. METHODS: In this multicentre, retrospective study, we screened patients with mCRPC who had received 177Lu-PSMA between Dec 10, 2014, and July 19, 2019, as part of the previous phase 2 trials (NCT03042312, ACTRN12615000912583) or compassionate access programmes at six hospitals and academic centres in Germany, the USA, and Australia. Eligible patients had received intravenous 6·0-8·5 GBq 177Lu-PSMA once every 6-8 weeks, for a maximum of four to six cycles, and had available baseline [68Ga]Ga-PSMA-11 PET/CT scan, clinical data, and survival outcomes. Putative predictors included 18 pretherapeutic clinicopathological and [68Ga]Ga-PSMA-11 PET/CT variables. Data were collected locally and centralised. Primary outcomes for the nomograms were overall survival and prostate-specific antigen (PSA)-progression-free survival. Nomograms for each outcome were computed from Cox regression models with LASSO penalty for variable selection. Model performance was measured by examining discrimination (Harrell's C-index), calibration (calibration plots), and utility (patient stratification into low-risk vs high-risk groups). Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort. FINDINGS: Between April 23, 2019, and Jan 13, 2020, 414 patients were screened; 270 (65%) of whom were eligible and were divided into development (n=196) and validation (n=74) cohorts. The median duration of follow-up was 21·5 months (IQR 13·3-30·7). Predictors included in the nomograms were time since initial diagnosis of prostate cancer, chemotherapy status, baseline haemoglobin concentration, and [68Ga]Ga-PSMA-11 PET/CT parameters (molecular imaging TNM classification and tumour burden). The C-index of the overall survival model was 0·71 (95% CI 0·69-0·73). Similar C-indices were achieved at internal validation (0·71 [0·69-0·73]) and external validation (0·72 [0·68-0·76]). The C-index of the PSA-progression-free survival model was 0·70 (95% CI 0·68-0·72). Similar C-indices were achieved at internal validation (0·70 [0·68-0·72]) and external validation (0·71 [0·68-0·74]). Both models were adequately calibrated and their predictions correlated with the observed outcome. Compared with high-risk patients, low-risk patients had significantly longer overall survival in the validation cohort (24·9 months [95% CI 16·8-27·3] vs 7·4 months [4·0-10·8]; p<0·0001) and PSA-progression-free survival (6·6 months [6·0-7·1] vs 2·5 months [1·2-3·8]; p=0·022). INTERPRETATION: These externally validated nomograms that are predictive of outcomes after 177Lu-PSMA in patients with mCRPC might help in clinical trial design and individual clinical decision making, particularly at institutions where 177Lu-PSMA is introduced as a novel therapeutic option. FUNDING: Prostate Cancer Foundation.
Journal title abbreviation:
Lancet Oncol
Year:
2021
Journal volume:
22
Journal issue:
8
Pages contribution:
1115-1125
Fulltext / DOI:
doi:10.1016/S1470-2045(21)00274-6
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34246328
Print-ISSN:
1470-2045
TUM Institution:
Klinik und Poliklinik für Nuklearmedizin; Urologische Klinik und Poliklinik
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