Comprehensive summary and retrospective evaluation of prognostic scores for patients with newly diagnosed brain metastases treated with upfront radiosurgery in a modern patient collective.

Brain metastases Prognostic scores Radiosurgery Stereotactic radiotherapy

Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
07 2022
Historique:
received: 14 11 2021
revised: 15 04 2022
accepted: 21 04 2022
pubmed: 1 5 2022
medline: 23 6 2022
entrez: 30 4 2022
Statut: ppublish

Résumé

Numerous prognostic scores (PS) for patients with brain metastases (BM) have been developed. Recently, PS based on laboratory parameters were introduced to better predict overall survival (OS). A comprehensive comparison of the wide range of scores in a modern patient collective is still missing. Twelve PS considering clinical parameters only at the time of BM diagnosis were calculated for 470 patients receiving upfront SRS between January 2014 and March 2020. In a subcohort of 310 patients where a full laboratory dataset was available five additional prognostic scores were compared. Restricted mean survival time (RMST), partial likelihood and c-index were calculated as metrics for performance evaluation. Univariable and multivariable analysis were used to identify prognostic factors for OS. The median OS of the whole cohort was 15.8 months (95% C.I.: 13.4-20.1). All prognostic scores performed well in separating patients into different prognostic groups. RPA achieved the highest c-index, whereas GGS achieved highest partial likelihood with evaluation in the total cohort. With incorporation of the laboratory scores the recently suggested EC-GPA achieved highest c-index and highest partial likelihood. A prognostic score solely based on the assessment of performance status achieved considerable high performance as either 3- or 4-tiered score. Multivariable analysis revealed performance status, systemic disease status and laboratory parameters to be significantly associated with OS among variates included in prognostic scores. Although recent PS incorporating laboratory parameters show convincing performance in predicting overall survival, older scores relying on clinical parameters only are still valid and appealing as they are easier to calculate, and as overall performance is almost equal. Moreover, a score just based on performance status is not significantly inferior and should at least be assessed for informed decision making.

Sections du résumé

BACKGROUND
Numerous prognostic scores (PS) for patients with brain metastases (BM) have been developed. Recently, PS based on laboratory parameters were introduced to better predict overall survival (OS). A comprehensive comparison of the wide range of scores in a modern patient collective is still missing.
MATERIALS AND METHODS
Twelve PS considering clinical parameters only at the time of BM diagnosis were calculated for 470 patients receiving upfront SRS between January 2014 and March 2020. In a subcohort of 310 patients where a full laboratory dataset was available five additional prognostic scores were compared. Restricted mean survival time (RMST), partial likelihood and c-index were calculated as metrics for performance evaluation. Univariable and multivariable analysis were used to identify prognostic factors for OS.
RESULTS
The median OS of the whole cohort was 15.8 months (95% C.I.: 13.4-20.1). All prognostic scores performed well in separating patients into different prognostic groups. RPA achieved the highest c-index, whereas GGS achieved highest partial likelihood with evaluation in the total cohort. With incorporation of the laboratory scores the recently suggested EC-GPA achieved highest c-index and highest partial likelihood. A prognostic score solely based on the assessment of performance status achieved considerable high performance as either 3- or 4-tiered score. Multivariable analysis revealed performance status, systemic disease status and laboratory parameters to be significantly associated with OS among variates included in prognostic scores.
CONCLUSION
Although recent PS incorporating laboratory parameters show convincing performance in predicting overall survival, older scores relying on clinical parameters only are still valid and appealing as they are easier to calculate, and as overall performance is almost equal. Moreover, a score just based on performance status is not significantly inferior and should at least be assessed for informed decision making.

Identifiants

pubmed: 35489445
pii: S0167-8140(22)00230-4
doi: 10.1016/j.radonc.2022.04.024
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

23-31

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest Dr. Weller reports grants and personal fees from Apogenix, grants and personal fees from MSD, grants and personal fees from Merck (EMD), grants from Quercis, grants and personal fees from Philogen, personal fees from Adastra, personal fees from BMS, personal fees from Medac, personal fees from Nerviano, personal fees from Novartis, personal fees from Orbus, personal fees from yMabs, outside the submitted work. Dr. Andratschke reports grants from SPHN Imaging – Swiss National Funds, from Clinical Research Priority Program University of Zurich, during the conduct of the study; personal fees from Debiopharm, personal fees from Astrazeneca, grants, personal fees and non-financial support from ViewRay, grants from Brainlab, outside the submitted work. Dr. Tanadini-Lang reports outside the submitted work that her husband is an employee of Varian, a Siemens Healthineer company. All other authors have nothing to disclose.

Auteurs

Johannes Kraft (J)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland; Department of Radiation Oncology, University Hospital Würzburg, Germany. Electronic address: Kraft_j1@ukw.de.

Janita E van Timmeren (JE)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Simon Frei (S)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Michael Mayinger (M)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Kim Borsky (K)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Corinna Kirchner (C)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Luisa Sabrina Stark (LS)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Stephanie Tanadini-Lang (S)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Fabian Wolpert (F)

Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland.

Michael Weller (M)

Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland.

Henry C Woodruff (HC)

The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht, Netherlands.

Matthias Guckenberger (M)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

Nicolaus Andratschke (N)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland.

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