Nazha Aziz, Patnaik Mrinal M
Leukemia Program, Leukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
Lerner College of Medicine, Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Desk R35 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Curr Hematol Malig Rep. 2018 Oct;13(5):341-347. doi: 10.1007/s11899-018-0465-7.
To evaluate established prognostic models in chronic myelomonocytic leukemia (CMML) and describe the challenges associated with their application in clinical practice.
CMML is a clonal hematopoietic stem cell disorder with heterogeneous clinical and molecular features. Outcomes of CMML patients can vary from indolent disease with expected survival measured in years versus proliferative subtypes with rapid progression to acute myeloid leukemia and survival measured in months. Several prognostic scoring systems have been developed to risk stratify CMML patients. While all these models are valid, they demonstrate significant predictive heterogeneity. Significant intra-patient (applying different models in the same patient giving rise to different prognostic results) and intra-model (patients in a similar prognostic group by a given model can be reclassified to different risk groups by other models) heterogeneities exist when applying current CMML prognostic models in the clinic. A personalized prediction approach may open new opportunities in risk stratifying patients with CMML and other myeloid malignancies.
评估慢性粒单核细胞白血病(CMML)中已确立的预后模型,并描述其在临床实践应用中面临的挑战。
CMML是一种具有异质性临床和分子特征的克隆性造血干细胞疾病。CMML患者的预后差异很大,从预期生存数年的惰性疾病到迅速进展为急性髓系白血病且生存仅数月的增殖亚型。已经开发了几种预后评分系统对CMML患者进行风险分层。虽然所有这些模型都是有效的,但它们显示出显著的预测异质性。在临床应用当前CMML预后模型时,存在显著的患者内(在同一患者中应用不同模型会产生不同的预后结果)和模型内(给定模型中处于相似预后组的患者可被其他模型重新分类到不同风险组)异质性。个性化预测方法可能为CMML和其他髓系恶性肿瘤患者的风险分层带来新机遇。