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Importance of metastatic volume in prognostic models to predict survival in newly diagnosed metastatic prostate cancer

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Abstract

Purpose

To explore the prognostic importance of metastatic volume in a contemporary daily practice cohort of patients with newly diagnosed metastatic hormone-naive prostate cancer (mHNPC) and to develop a pragmatic prognostic model to predict survival for these patients.

Methods

Since 2014, 113 patients with newly diagnosed mHNPC were prospectively registered. Statistical analysis was performed using SPSS 25.0™ with two-sided p value < 0.05 indicating statistical significance. Univariate and multivariate cox regression analyses were performed to identify prognostic risk factors. Kaplan–Meier method with log-rank statistics was constructed to analyze difference in survival in the prognostic groups. Model performance was assessed using the Concordance-index (C-index) and cross-validated in R v3.4.1. High-volume mHNPC (HVD) was defined as the presence of visceral metastasis or ≥ 4 bone metastases with ≥ 1 appendicular lesion.

Results

Multivariate analysis identified HVD (p = 0.047) and elevated alkaline phosphatase (ALP) (p = 0.018) as independent prognostic risk factors for overall survival (OS). Consequently, three prognostic groups were created: a good (no risk factors), intermediate (1 risk factor) and poor prognosis group (2 risk factors). Median OS for the good, intermediate and poor prognosis group was not reached, 73 and 20 months (95% CI 9–31 months with p < 0.001 and Correspondence-index of 0.78), respectively.

Conclusions

We developed a pragmatic and qualitative prognostic model consisting of three prognostic risk groups for OS in a daily practice cohort of patients with newly diagnosed mHNPC. Independent prognostic risk factors included in the model were HVD and abnormal ALP.

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Funding

This work was supported by the Clinical Research Fund from the Ghent University Hospital.

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Authors and Affiliations

Authors

Contributions

SB: data collection/management, data analysis, manuscript writing; EDB, KD, PO, VF and SR: data collection/management, manuscript editing; BD: data collection/management; WV: data analysis, manuscript editing; KDM and CS: manuscript editing; NL: protocol/project development, data collection/management, data analysis, manuscript editing.

Corresponding author

Correspondence to Sarah Buelens.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the local ethical committee of Ghent (Belgian registration number B670201420709). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Buelens, S., De Bleser, E., Dhondt, B. et al. Importance of metastatic volume in prognostic models to predict survival in newly diagnosed metastatic prostate cancer. World J Urol 37, 2565–2571 (2019). https://doi.org/10.1007/s00345-018-2449-6

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  • DOI: https://doi.org/10.1007/s00345-018-2449-6

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