Cargando…

A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis

Ruxolitinib (RUX) is extensively used in myelofibrosis (MF). Despite its early efficacy, most patients lose response over time and, after discontinuation, have a worse overall survival (OS). Currently, response criteria able to predict OS in RUX-treated patients are lacking, leading to uncertainty r...

Descripción completa

Detalles Bibliográficos
Autores principales: Maffioli, Margherita, Mora, Barbara, Ball, Somedeb, Iurlo, Alessandra, Elli, Elena Maria, Finazzi, Maria Chiara, Polverelli, Nicola, Rumi, Elisa, Caramella, Marianna, Carraro, Maria Cristina, D’Adda, Mariella, Molteni, Alfredo, Sissa, Cinzia, Lunghi, Francesca, Vismara, Alessandro, Ubezio, Marta, Guidetti, Anna, Caberlon, Sabrina, Anghilieri, Michela, Komrokji, Rami, Cattaneo, Daniele, Della Porta, Matteo Giovanni, Giorgino, Toni, Bertù, Lorenza, Brociner, Marco, Kuykendall, Andrew, Passamonti, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941454/
https://www.ncbi.nlm.nih.gov/pubmed/35130339
http://dx.doi.org/10.1182/bloodadvances.2021006889
_version_ 1784673111301423104
author Maffioli, Margherita
Mora, Barbara
Ball, Somedeb
Iurlo, Alessandra
Elli, Elena Maria
Finazzi, Maria Chiara
Polverelli, Nicola
Rumi, Elisa
Caramella, Marianna
Carraro, Maria Cristina
D’Adda, Mariella
Molteni, Alfredo
Sissa, Cinzia
Lunghi, Francesca
Vismara, Alessandro
Ubezio, Marta
Guidetti, Anna
Caberlon, Sabrina
Anghilieri, Michela
Komrokji, Rami
Cattaneo, Daniele
Della Porta, Matteo Giovanni
Giorgino, Toni
Bertù, Lorenza
Brociner, Marco
Kuykendall, Andrew
Passamonti, Francesco
author_facet Maffioli, Margherita
Mora, Barbara
Ball, Somedeb
Iurlo, Alessandra
Elli, Elena Maria
Finazzi, Maria Chiara
Polverelli, Nicola
Rumi, Elisa
Caramella, Marianna
Carraro, Maria Cristina
D’Adda, Mariella
Molteni, Alfredo
Sissa, Cinzia
Lunghi, Francesca
Vismara, Alessandro
Ubezio, Marta
Guidetti, Anna
Caberlon, Sabrina
Anghilieri, Michela
Komrokji, Rami
Cattaneo, Daniele
Della Porta, Matteo Giovanni
Giorgino, Toni
Bertù, Lorenza
Brociner, Marco
Kuykendall, Andrew
Passamonti, Francesco
author_sort Maffioli, Margherita
collection PubMed
description Ruxolitinib (RUX) is extensively used in myelofibrosis (MF). Despite its early efficacy, most patients lose response over time and, after discontinuation, have a worse overall survival (OS). Currently, response criteria able to predict OS in RUX-treated patients are lacking, leading to uncertainty regarding the switch to second-line treatments. In this study, we investigated predictors of survival collected after 6 months of RUX in 209 MF patients participating in the real-world ambispective observational RUXOREL-MF study (NCT03959371). Multivariable analysis identified the following risk factors: (1) RUX dose <20 mg twice daily at baseline, months 3 and 6 (hazard ratio [HR], 1.79; 95% confidence interval [CI], 1.07-3.00; P = .03), (2) palpable spleen length reduction from baseline ≤30% at months 3 and 6 (HR, 2.26; 95% CI, 1.40-3.65; P = .0009), (3) red blood cell (RBC) transfusion need at months 3 and/or 6 (HR, 1.66; 95% CI, 0.95-2.88; P = .07), and (4) RBC transfusion need at all time points (ie, baseline and months 3 and 6; HR, 2.32; 95% CI, 1.19-4.54; P = .02). Hence, we developed a prognostic model, named Response to Ruxolitinib After 6 Months (RR6), dissecting 3 risk categories: low (median OS, not reached), intermediate (median OS, 61 months; 95% CI, 43-80), and high (median OS, 33 months; 95% CI, 21-50). The RR6 model was validated and confirmed in an external cohort comprised of 40 MF patients. In conclusion, the RR6 prognostic model allows for the early identification of RUX-treated MF patients with impaired survival who might benefit from a prompt treatment shift.
format Online
Article
Text
id pubmed-8941454
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Society of Hematology
record_format MEDLINE/PubMed
spelling pubmed-89414542022-03-29 A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis Maffioli, Margherita Mora, Barbara Ball, Somedeb Iurlo, Alessandra Elli, Elena Maria Finazzi, Maria Chiara Polverelli, Nicola Rumi, Elisa Caramella, Marianna Carraro, Maria Cristina D’Adda, Mariella Molteni, Alfredo Sissa, Cinzia Lunghi, Francesca Vismara, Alessandro Ubezio, Marta Guidetti, Anna Caberlon, Sabrina Anghilieri, Michela Komrokji, Rami Cattaneo, Daniele Della Porta, Matteo Giovanni Giorgino, Toni Bertù, Lorenza Brociner, Marco Kuykendall, Andrew Passamonti, Francesco Blood Adv Clinical Trials and Observations Ruxolitinib (RUX) is extensively used in myelofibrosis (MF). Despite its early efficacy, most patients lose response over time and, after discontinuation, have a worse overall survival (OS). Currently, response criteria able to predict OS in RUX-treated patients are lacking, leading to uncertainty regarding the switch to second-line treatments. In this study, we investigated predictors of survival collected after 6 months of RUX in 209 MF patients participating in the real-world ambispective observational RUXOREL-MF study (NCT03959371). Multivariable analysis identified the following risk factors: (1) RUX dose <20 mg twice daily at baseline, months 3 and 6 (hazard ratio [HR], 1.79; 95% confidence interval [CI], 1.07-3.00; P = .03), (2) palpable spleen length reduction from baseline ≤30% at months 3 and 6 (HR, 2.26; 95% CI, 1.40-3.65; P = .0009), (3) red blood cell (RBC) transfusion need at months 3 and/or 6 (HR, 1.66; 95% CI, 0.95-2.88; P = .07), and (4) RBC transfusion need at all time points (ie, baseline and months 3 and 6; HR, 2.32; 95% CI, 1.19-4.54; P = .02). Hence, we developed a prognostic model, named Response to Ruxolitinib After 6 Months (RR6), dissecting 3 risk categories: low (median OS, not reached), intermediate (median OS, 61 months; 95% CI, 43-80), and high (median OS, 33 months; 95% CI, 21-50). The RR6 model was validated and confirmed in an external cohort comprised of 40 MF patients. In conclusion, the RR6 prognostic model allows for the early identification of RUX-treated MF patients with impaired survival who might benefit from a prompt treatment shift. American Society of Hematology 2022-03-17 /pmc/articles/PMC8941454/ /pubmed/35130339 http://dx.doi.org/10.1182/bloodadvances.2021006889 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
spellingShingle Clinical Trials and Observations
Maffioli, Margherita
Mora, Barbara
Ball, Somedeb
Iurlo, Alessandra
Elli, Elena Maria
Finazzi, Maria Chiara
Polverelli, Nicola
Rumi, Elisa
Caramella, Marianna
Carraro, Maria Cristina
D’Adda, Mariella
Molteni, Alfredo
Sissa, Cinzia
Lunghi, Francesca
Vismara, Alessandro
Ubezio, Marta
Guidetti, Anna
Caberlon, Sabrina
Anghilieri, Michela
Komrokji, Rami
Cattaneo, Daniele
Della Porta, Matteo Giovanni
Giorgino, Toni
Bertù, Lorenza
Brociner, Marco
Kuykendall, Andrew
Passamonti, Francesco
A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title_full A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title_fullStr A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title_full_unstemmed A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title_short A prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
title_sort prognostic model to predict survival after 6 months of ruxolitinib in patients with myelofibrosis
topic Clinical Trials and Observations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941454/
https://www.ncbi.nlm.nih.gov/pubmed/35130339
http://dx.doi.org/10.1182/bloodadvances.2021006889
work_keys_str_mv AT maffiolimargherita aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT morabarbara aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ballsomedeb aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT iurloalessandra aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ellielenamaria aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT finazzimariachiara aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT polverellinicola aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT rumielisa aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT caramellamarianna aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT carraromariacristina aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT daddamariella aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT moltenialfredo aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT sissacinzia aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT lunghifrancesca aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT vismaraalessandro aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ubeziomarta aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT guidettianna aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT caberlonsabrina aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT anghilierimichela aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT komrokjirami aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT cattaneodaniele aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT dellaportamatteogiovanni aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT giorginotoni aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT bertulorenza aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT brocinermarco aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT kuykendallandrew aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT passamontifrancesco aprognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT maffiolimargherita prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT morabarbara prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ballsomedeb prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT iurloalessandra prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ellielenamaria prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT finazzimariachiara prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT polverellinicola prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT rumielisa prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT caramellamarianna prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT carraromariacristina prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT daddamariella prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT moltenialfredo prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT sissacinzia prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT lunghifrancesca prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT vismaraalessandro prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT ubeziomarta prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT guidettianna prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT caberlonsabrina prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT anghilierimichela prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT komrokjirami prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT cattaneodaniele prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT dellaportamatteogiovanni prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT giorginotoni prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT bertulorenza prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT brocinermarco prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT kuykendallandrew prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis
AT passamontifrancesco prognosticmodeltopredictsurvivalafter6monthsofruxolitinibinpatientswithmyelofibrosis