Application of Next-Generation Sequencing-Based Mutational Profiling in Acute Lymphoblastic Leukemia

被引:2
|
作者
Aleem, Ahmed [1 ]
Haque, Ali R. [1 ]
Roloff, Gregory W. [1 ]
Griffiths, Elizabeth A. [2 ]
机构
[1] Loyola Univ Med Ctr, Dept Med, 2160 S 1st Ave, Maywood, IL 60153 USA
[2] Roswell Pk Comprehens Canc Ctr, Leukemia Serv, Dept Med, Buffalo, NY USA
关键词
Acute lymphoblastic leukemia; Next-generation sequencing; Mutational profiling; Measurable residual disease; Germline predisposition; MINIMAL RESIDUAL DISEASE; ACUTE MYELOID-LEUKEMIA; ADULT PATIENTS; RISK CLASSIFICATION; FLOW-CYTOMETRY; BREAST-CANCER; SINGLE-ARM; MRD; BLINATUMOMAB; THERAPY;
D O I
10.1007/s11899-021-00641-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose of Review Recent efforts to characterize hematologic cancers with genetic and molecular detail have largely relied on mutational profiling via next-generation sequencing (NGS). The application of NGS-guided disease prognostication and clinical decision making requires a basic understanding of sequencing advantages, pitfalls, and areas where clinical care might be enhanced by the knowledge generated. This article identifies avenues within the landscape of adult acute lymphoblastic leukemia (ALL) where mutational data hold the opportunity to enhance understanding of disease biology and patient care. Recent Findings NGS-based assessment of measurable residual disease (MRD) after ALL treatment allows for a sensitive and specific molecular survey that is at least comparable, if not superior, to existing techniques. Mutational assessment by NGS has unraveled complex signaling networks that drive pathogenesis of T-cell ALL. Sequencing of patients with familial clustering of ALL has also identified novel germline mutations whose inheritance predisposes to disease development in successive generations. While NGS-based assessment of hematopoietic malignancies often provides actionable information to clinicians, patients with acute lymphoblastic leukemia are left underserved due to a lack of disease classification and prognostication schema that integrate molecular data. Ongoing research is positioned to enrich the molecular toolbox available to clinicians caring for adult ALL patients and deliver new insights to guide therapeutic selection, monitor clinical response, and detect relapse.
引用
收藏
页码:394 / 404
页数:11
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