Department of Medical Oncology, Massachusetts General Hospital, Harvard Medical School.
Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School; and.
J Natl Compr Canc Netw. 2020 Sep;18(9):1271-1278. doi: 10.6004/jnccn.2020.7557.
Primary myelofibrosis (PMF) has the least favorable prognosis of the Philadelphia chromosome-negative myeloproliferative neoplasms, which also include essential thrombocythemia (ET) and polycythemia vera (PV). However, clinical presentations and outcomes of PMF vary widely, with median overall survival ranging from years to decades. Given the heterogeneity of PMF, there has been considerable effort to develop discriminatory prognostic models to help with management decisions, particularly for the consideration of hematopoietic stem cell transplantation in patients at higher risk. Although earlier models incorporated only clinical features in risk stratification, contemporary models increasingly use molecular and cytogenetic features, leading to more comprehensive prognostication. This article reviews the most widely adopted prognostic models used for PMF, including the International Prognostic Scoring System (IPSS), dynamic IPSS (DIPSS)/DIPSS+, mutation-enhanced IPSS for transplant-age patients (MIPSS70)/MIPSS70+/MIPSS70+ version 2.0, genetically inspired prognostic scoring system, and Myelofibrosis Secondary to PV and ET-Prognostic Model in patients with post-ET/PV myelofibrosis. We also discuss newly emerging prognostic models and provide a practical approach to risk stratification in patients with PMF and post-ET/PV myelofibrosis.
原发性骨髓纤维化(PMF)是费城染色体阴性骨髓增殖性肿瘤中预后最差的一种,其他类型还包括原发性血小板增多症(ET)和真性红细胞增多症(PV)。然而,PMF 的临床表现和结局差异很大,中位总生存期从数年到数十年不等。鉴于 PMF 的异质性,人们已经做出了相当大的努力来开发有区别的预后模型,以帮助做出管理决策,特别是在考虑对风险较高的患者进行造血干细胞移植时。尽管早期的模型仅将临床特征纳入风险分层,但当代模型越来越多地使用分子和细胞遗传学特征,从而进行更全面的预后预测。本文回顾了用于 PMF 的最广泛采用的预后模型,包括国际预后评分系统(IPSS)、动态 IPSS(DIPSS)/DIPSS+、适合移植年龄患者的突变增强 IPSS(MIPSS70)/MIPSS70+/MIPSS70+版本 2.0、基于遗传学的预后评分系统,以及 ET/PV 后骨髓纤维化患者的 PV 和 ET-预后模型。我们还讨论了新出现的预后模型,并为 PMF 和 ET/PV 后骨髓纤维化患者的风险分层提供了一种实用方法。