Towards a Personalized Definition of Prognosis in Philadelphia-Negative Myeloproliferative Neoplasms

被引:8
作者
Mora, Barbara [1 ,2 ]
Passamonti, Francesco [1 ,2 ]
机构
[1] Osped Circolo Varese, ASST Sette Laghi, Hematol, Viale Borri 57, I-21100 Varese, Italy
[2] Univ Insubria, Dept Med & Surg, Via Guicciardini 9, I-21100 Varese, Italy
关键词
Essential thrombocythemia; Polycythemia vera; Myelofibrosis; Prognosis; Next-generation sequencing; POST-ESSENTIAL THROMBOCYTHEMIA; INTERNATIONAL WORKING GROUP; STEM-CELL TRANSPLANTATION; POLYCYTHEMIA-VERA; PRIMARY MYELOFIBROSIS; PREDICT SURVIVAL; SCORING SYSTEM; SINGLE-CENTER; RUXOLITINIB; IMPACT;
D O I
10.1007/s11899-022-00672-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose of Review Philadelphia-negative myeloproliferative neoplasms (MPNs) include polycythemia vera (PV), essential thrombocythemia (ET), prefibrotic (pre-), and overt-primary myelofibrosis (primary MF, PMF). PV and ET could evolve into secondary MF (SMF), whose early diagnosis relies on monitoring signs of possible progression. All MPNs have a risk of blast phase (BP), that is associated with a very dismal outcome. Overall survival (OS) is different among MPNs, and disease-specific prognostic scores should be applied for a correct clinical management. In this review, an overview of current prognostic scores in MPNs will be provided. Recent Findings The biological complexity of MPNs and its role on the trajectory of disease outcome have led to the design of integrated prognostic models that are nowadays of common use in PMF patients. As for PV and ET, splicing gene mutations could have a detrimental role, but with the limit of the not routinary recommended application of extensive molecular analysis in these diseases. SMF is recognized as a distinct entity compared to PMF, and OS estimates should be calculated by the MYSEC-PM (Myelofibrosis SECondary-prognostic model). Both in PMF and SMF, decisions as selection of patients potentially candidates to allogenic stem cell transplant or that could benefit from an early shift from standard treatment are based not only on conventional prognostic scores, but also on multivariable algorithms. The expanding landscape of risk prediction for OS, evolution to BP, and SMF progression from PV/ET informs personalized approach to the management of patients affected by MPNs.
引用
收藏
页码:127 / 139
页数:13
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