Novel Prognostic Models for Myelodysplastic Syndromes

被引：4

作者：

Shreve, Jacob ^{[1
]}

Nazha, Aziz ^{[2
]}

机构：

[1] Cleveland Clin, Dept Hematol & Med Oncol, Taussig Canc Ctr, Desk R35,9500 Euclid Ave, Cleveland, OH 44195 USA

[2] Case Western Reserve Univ, Dept Hematol & Med Oncol, Taussig Canc Inst,Cleveland Clin, Ctr Clin Artificial Intelligence,Lerner Coll Med, Desk R35,9500 Euclid Ave, Cleveland, OH 44195 USA

来源：

HEMATOLOGY-ONCOLOGY CLINICS OF NORTH AMERICA | 2020年 / 34卷 / 02期

关键词：

MDS; Model; Mutations; SYSTEM IPSS-R; SCORING SYSTEM; SOMATIC MUTATIONS; TREATED PATIENTS; MOLECULAR-DATA; RISK; TIME; VALIDATION; SURVIVAL; FAILURE;

D O I：

10.1016/j.hoc.2019.10.001

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Myelodysplastic syndromes are disorders of clonal myelopoiesis having a range of clinical manifestations, from benign and indolent to aggressive with very poor prognosis. Classifying the likely trajectory of disease within a patient largely guides therapeutic decision making and therefore survival. Traditional methods of risk-stratification systems rely on clinical features: simple blood tests, peripheral smears, bone marrow biopsies, and cytogenetics, but do not adequately predict disease severity for a substantial proportion of patients. This article reviews the state of stratification at use in the clinic, describes emerging systems that leverage large-scale genomic data, and summarizes efforts toward truly personalized prediction models.

引用

页码：369 / +

页数：11

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