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经典型骨髓增殖性肿瘤的诊断、风险分层及反应评估

Diagnosis, risk stratification, and response evaluation in classical myeloproliferative neoplasms.

作者信息

Rumi Elisa, Cazzola Mario

机构信息

Department of Hematology Oncology, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy; and.

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

出版信息

Blood. 2017 Feb 9;129(6):680-692. doi: 10.1182/blood-2016-10-695957. Epub 2016 Dec 27.

Abstract

Philadelphia-negative classical myeloproliferative neoplasms (MPNs) include polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The 2016 revision of the includes new criteria for the diagnosis of these disorders. Somatic mutations in the 3 driver genes, that is, , , and , represent major diagnostic criteria in combination with hematologic and morphological abnormalities. PV is characterized by erythrocytosis with suppressed endogenous erythropoietin production, bone marrow panmyelosis, and mutation. Thrombocytosis, bone marrow megakaryocytic proliferation, and presence of , , or mutation are the main diagnostic criteria for ET. PMF is characterized by bone marrow megakaryocytic proliferation, reticulin and/or collagen fibrosis, and presence of , , or mutation. Prefibrotic myelofibrosis represents an early phase of myelofibrosis, and is characterized by granulocytic/megakaryocytic proliferation and lack of reticulin fibrosis in the bone marrow. The genomic landscape of MPNs is more complex than initially thought and involves several mutant genes beyond the 3 drivers. Comutated, myeloid tumor-suppressor genes contribute to phenotypic variability, phenotypic shifts, and progression to more aggressive disorders. Patients with myeloid neoplasms are at variable risk of vascular complications, including arterial or venous thrombosis and bleeding. Current prognostic models are mainly based on clinical and hematologic parameters, but innovative models that include genetic data are being developed for both clinical and trial settings. In perspective, molecular profiling of MPNs might also allow for accurate evaluation and monitoring of response to innovative drugs that target the mutant clone.

摘要

费城染色体阴性经典型骨髓增殖性肿瘤(MPNs)包括真性红细胞增多症(PV)、原发性血小板增多症(ET)和原发性骨髓纤维化(PMF)。2016年版[具体内容未给出]对这些疾病的诊断纳入了新的标准。3个驱动基因,即[基因名称未给出]、[基因名称未给出]和[基因名称未给出]中的体细胞突变,与血液学和形态学异常相结合,构成主要诊断标准。PV的特征为红细胞增多伴内源性促红细胞生成素生成受抑、骨髓全髓增殖以及[基因名称未给出]突变。血小板增多、骨髓巨核细胞增殖以及存在[基因名称未给出]、[基因名称未给出]或[基因名称未给出]突变是ET的主要诊断标准。PMF的特征为骨髓巨核细胞增殖、网状纤维和/或胶原纤维化以及存在[基因名称未给出]、[基因名称未给出]或[基因名称未给出]突变。纤维化前期骨髓纤维化代表骨髓纤维化的早期阶段,其特征为粒细胞/巨核细胞增殖且骨髓中无网状纤维纤维化。MPNs的基因组格局比最初认为的更为复杂,涉及3个驱动基因之外的多个突变基因。共同突变的髓系肿瘤抑制基因导致表型变异性、表型转变以及进展为更具侵袭性的疾病。髓系肿瘤患者发生血管并发症的风险各不相同,包括动脉或静脉血栓形成和出血。目前的预后模型主要基于临床和血液学参数,但正在为临床和试验环境开发包括基因数据的创新模型。从长远来看,MPNs的分子谱分析也可能有助于准确评估和监测针对突变克隆的创新药物的反应。

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