Development and Validation of a Prognostic Risk Model for Patients with Advanced Melanoma Treated with Immune Checkpoint Inhibitors.
Autor: | Stukalin I; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Navani V; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Gupta M; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Ruan Y; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada., Boyne DJ; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada., O'Sullivan DE; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada., Meyers DE; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Goutam S; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Sander M; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Ewanchuk BW; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Brenner DR; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Suo A; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Cheung WY; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Heng DYC; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Monzon JG; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada., Cheng T; Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada. |
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Jazyk: | angličtina |
Zdroj: | The oncologist [Oncologist] 2023 Sep 07; Vol. 28 (9), pp. 812-822. |
DOI: | 10.1093/oncolo/oyad073 |
Abstrakt: | Background: Risk stratification tools for patients with advanced melanoma (AM) treated with immune checkpoint inhibitors (ICI) are lacking. We identified a new prognostic model associated with overall survival (OS). Patients and Methods: A total of 318 treatment naïve patients with AM receiving ICI were collected from a multi-centre retrospective cohort study. LASSO Cox regression identified independent prognostic factors associated with OS. Model validation was carried out on 500 iterations of bootstrapped samples. Harrel's C-index was calculated and internally validated to outline the model's discriminatory performance. External validation was carried out in 142 advanced melanoma patients receiving ICI in later lines. Results: High white blood cell count (WBC), high lactate dehydrogenase (LDH), low albumin, Eastern Cooperative Oncology Group (ECOG) performance status ≥1, and the presence of liver metastases were included in the model. Patients were parsed into 3 risk groups: favorable (0-1 factors) OS of 52.9 months, intermediate (2-3 factors) OS 13.0 months, and poor (≥4 factors) OS 2.7 months. The C-index of the model from the discovery cohort was 0.69. External validation in later-lines (N = 142) of therapy demonstrated a c-index of 0.65. Conclusions: Liver metastases, low albumin, high LDH, high WBC, and ECOG≥1 can be combined into a prognostic model for AM patients treated with ICI. (© The Author(s) 2023. Published by Oxford University Press.) |
Databáze: | MEDLINE |
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