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Development and validation of response markers to predict survival and pleurodesis success in patients with malignant pleural effusion (PROMISE): a multicohort analysis
- Source :
- Psallidas, I, Kanellakis, N I, Gerry, S, Thézénas, M L, Charles, P D, Samsonova, A, Schiller, H B, Fischer, R, Asciak, R, Hallifax, R J, Mercer, R, Dobson, M, Dong, T, Pavord, I D, Collins, G S, Kessler, B M, Pass, H I, Maskell, N, Stathopoulos, G T & Rahman, N M 2018, ' Development and validation of response markers to predict survival and pleurodesis success in patients with malignant pleural effusion (PROMISE) : a multicohort analysis ', Lancet Oncology, vol. 19, no. 7, pp. 930-939 . https://doi.org/10.1016/S1470-2045(18)30294-8
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Summary Background The prevalence of malignant pleural effusion is increasing worldwide, but prognostic biomarkers to plan treatment and to understand the underlying mechanisms of disease progression remain unidentified. The PROMISE study was designed with the objectives to discover, validate, and prospectively assess biomarkers of survival and pleurodesis response in malignant pleural effusion and build a score that predicts survival. Methods In this multicohort study, we used five separate and independent datasets from randomised controlled trials to investigate potential biomarkers of survival and pleurodesis. Mass spectrometry-based discovery was used to investigate pleural fluid samples for differential protein expression in patients from the discovery group with different survival and pleurodesis outcomes. Clinical, radiological, and biological variables were entered into least absolute shrinkage and selection operator regression to build a model that predicts 3-month mortality. We evaluated the model using internal and external validation. Findings 17 biomarker candidates of survival and seven of pleurodesis were identified in the discovery dataset. Three independent datasets (n=502) were used for biomarker validation. All pleurodesis biomarkers failed, and gelsolin, macrophage migration inhibitory factor, versican, and tissue inhibitor of metalloproteinases 1 (TIMP1) emerged as accurate predictors of survival. Eight variables (haemoglobin, C-reactive protein, white blood cell count, Eastern Cooperative Oncology Group performance status, cancer type, pleural fluid TIMP1 concentrations, and previous chemotherapy or radiotherapy) were validated and used to develop a survival score. Internal validation with bootstrap resampling and external validation with 162 patients from two independent datasets showed good discrimination (C statistic values of 0·78 [95% CI 0·72–0·83] for internal validation and 0·89 [0·84–0·93] for external validation of the clinical PROMISE score). Interpretation To our knowledge, the PROMISE score is the first prospectively validated prognostic model for malignant pleural effusion that combines biological and clinical parameters to accurately estimate 3-month mortality. It is a robust, clinically relevant prognostic score that can be applied immediately, provide important information on patient prognosis, and guide the selection of appropriate management strategies. Funding European Respiratory Society, Medical Research Funding-University of Oxford, Slater & Gordon Research Fund, and Oxfordshire Health Services Research Committee Research Grants.
- Subjects :
- Adult
Male
Oncology
medicine.medical_specialty
Databases, Factual
Pleural effusion
medicine.medical_treatment
Risk Assessment
Severity of Illness Index
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Cause of Death
Internal medicine
Severity of illness
medicine
Humans
Malignant pleural effusion
Pleurodesis
Survival analysis
Aged
Retrospective Studies
business.industry
Reproducibility of Results
Retrospective cohort study
Middle Aged
Prognosis
medicine.disease
Survival Analysis
Pleural Effusion, Malignant
Treatment Outcome
030228 respiratory system
030220 oncology & carcinogenesis
Predictive value of tests
Biomarker (medicine)
Female
business
Biomarkers
Subjects
Details
- ISSN :
- 14702045
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- The Lancet Oncology
- Accession number :
- edsair.doi.dedup.....1a435fd14f17c3ef66c96025013959fb