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

Author:

Maffioli Margherita1ORCID,Mora Barbara12,Ball Somedeb3ORCID,Iurlo Alessandra4ORCID,Elli Elena Maria5,Finazzi Maria Chiara6,Polverelli Nicola7,Rumi Elisa89ORCID,Caramella Marianna10,Carraro Maria Cristina11,D’Adda Mariella12,Molteni Alfredo13ORCID,Sissa Cinzia14,Lunghi Francesca15,Vismara Alessandro16,Ubezio Marta17ORCID,Guidetti Anna18,Caberlon Sabrina19,Anghilieri Michela20,Komrokji Rami3ORCID,Cattaneo Daniele46ORCID,Della Porta Matteo Giovanni1721ORCID,Giorgino Toni22ORCID,Bertù Lorenza23,Brociner Marco1,Kuykendall Andrew3ORCID,Passamonti Francesco12ORCID

Affiliation:

1. Hematology  Unit, ASST Sette Laghi, Ospedale di Circolo, Varese, Italy;

2. Department of Medicine and Surgery, University of Insubria, ASST Sette Laghi-Ospedale di Circolo, Varese, Italy;

3. Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL;

4. Hematology Division, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy;

5. Hematology Division and Bone Marrow Unit, Ospedale San Gerardo, ASST Monza e Brianza, Monza, Italy;

6. Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy;

7. Unit of Blood Diseases and Stem Cell Transplantation, ASST Spedali Civili di Brescia, Brescia, Italy;

8. Department of Molecular Medicine, University of Pavia, Pavia, Italy;

9. Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy;

10. Department of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy;

11. Hematology and Trasfusional Medicine Unit, ASST Fatebenefratelli Sacco, Milan, Italy;

12. Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy;

13. Hematology Unit, ASST Cremona, Cremona, Italy;

14. Department of Hematology and Transfusion Medicine, ASST Mantova, Mantova, Italy;

15. Hematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milan, Italy;

16. Internal Medicine Department and Hematology Unit, ASST Rhodense, Rho (Milan), Italy;

17. Humanitas Clinical and Research Center-IRCCS, Rozzano (Milan), Italy;

18. Hematology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, University of Milan, Milan, Italy;

19. Hematology, ASST Santi Paolo e Carlo, Milan, Italy;

20. Oncology Department, ASST Lecco, Lecco, Italy;

21. Humanitas University, Department of Biomedical Sciences, Pieve Emanuele (Milan), Italy;

22. Institute of Biophysics (IBF-CNR), National Research Council, Milan, Italy; and

23. Department of Medicine and Surgery, University of Insubria, Varese, Italy

Abstract

Abstract 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.

Publisher

American Society of Hematology

Subject

Hematology

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