Development and Validation of a Cytogenetic Prognostic Index Predicting Survival in Multiple Myeloma
Autor: | Philippe Moreau, Philippe Rodon, Marie-Lorraine Chretien, Hervé Avet-Loiseau, Olivier Decaux, Cyrille Hulin, Sabine Brechignac, Hélène Demarquette, Xavier Leleu, Michel Attal, Bruno Royer, Laurent Voillat, Philippe Collet, Jill Corre, Aurore Perrot, Margaret Macro, Frédérique Orsini-Piocelle, François Lifermann, Karim Belhadj, Thierry Facon, Arnaud Jaccard, Valérie Lauwers-Cances, Stephane Minvielle, Mohamad Mohty, Elodie Tournay, Valentine Richez, Mamoun Dib, Jean Fontan, Claudine Sohn |
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Přispěvatelé: | Centre hospitalier universitaire de Nantes (CHU Nantes), Minvielle, Stéphane |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Male
Oncology Cancer Research medicine.medical_specialty Validation study Disease free survival Multivariate analysis Chromosomes Human Pair 21 Trisomy [SDV.CAN]Life Sciences [q-bio]/Cancer Risk Assessment Disease-Free Survival Translocation Genetic 03 medical and health sciences 0302 clinical medicine [SDV.CAN] Life Sciences [q-bio]/Cancer Internal medicine medicine Humans Survival analysis Multiple myeloma ComputingMilieux_MISCELLANEOUS Aged 030304 developmental biology 0303 health sciences Extramural business.industry ORIGINAL REPORTS Middle Aged Gene deletion Prognosis medicine.disease Survival Analysis 3. Good health Multicenter study 030220 oncology & carcinogenesis Cytogenetic Analysis Multivariate Analysis Chromosomes Human Pair 5 Female Chromosomes Human Pair 3 Multiple Myeloma business Gene Deletion |
Zdroj: | Journal of Clinical Oncology Journal of Clinical Oncology, American Society of Clinical Oncology, 2019, 37 (19), pp.1657-1665. ⟨10.1200/JCO.18.00776⟩ |
ISSN: | 0732-183X 1527-7755 |
DOI: | 10.1200/JCO.18.00776⟩ |
Popis: | PURPOSE The wide heterogeneity in multiple myeloma (MM) outcome is driven mainly by cytogenetic abnormalities. The current definition of high-risk profile is restrictive and oversimplified. To adapt MM treatment to risk, we need to better define a cytogenetic risk classification. To address this issue, we simultaneously examined the prognostic impact of del(17p); t(4;14); del(1p32); 1q21 gain; and trisomies 3, 5, and 21 in a cohort of newly diagnosed patients with MM. METHODS Data were obtained from 1,635 patients enrolled in four trials implemented by the Intergroupe Francophone du Myélome. The oldest collection of data were used for model development and internal validation. For external validation, one of the two independent data sets was used to assess the performance of the model in patients treated with more current regimens. Six cytogenetic abnormalities were identified as clinically relevant, and a prognostic index (PI) that was based on the parameter estimates of the multivariable Cox model was computed for all patients. RESULTS In all data sets, a higher PI was consistently associated with a poor survival outcome. Dependent on the validation cohorts used, hazard ratios for patients in the high-risk category for death were between six and 15 times higher than those of patients in the low-risk category. Among patients with t(4;14) or del(17p), we observed a worse survival in those classified in the high-risk category than in those in the intermediate-risk category. The PI showed good performance for discriminating between patients who died and those who survived (Harrell’s concordance index greater than 70%). CONCLUSION The cytogenetic PI improves the classification of newly diagnosed patients with MM in the high-risk group compared with current classifications. These findings may facilitate the development of risk-adapted treatment strategies. |
Databáze: | OpenAIRE |
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