微小残留病
数字聚合酶链反应
医学
聚合酶链反应
淋巴细胞白血病
计算生物学
分子诊断学
肿瘤科
残余物
循环肿瘤DNA
生物信息学
白血病
内科学
计算机科学
生物
癌症
遗传学
基因
算法
作者
Irene Della Starza,Lucia Anna De Novi,Loredana Elia,Vittorio Bellomarino,Marco Beldinanzi,Roberta Soscia,Deborah Cardinali,Sabina Chiaretti,Anna Guarini,Robin Foà
出处
期刊:Cancers
[MDPI AG]
日期:2023-01-06
卷期号:15 (2): 374-374
被引量:5
标识
DOI:10.3390/cancers15020374
摘要
Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI