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利用基因组学、转录组学和表观基因组学来了解慢性淋巴细胞白血病中的化疗免疫治疗耐药性。

Leveraging genomics, transcriptomics and epigenomics to understand chemoimmunotherapy resistance in chronic lymphocytic leukemia.

作者信息

Ong Shin Yeu, Wang Lili

机构信息

Department of Hematology/Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA 91010, USA.

Department of Hematology, Singapore General Hospital, Singapore 169608, Singapore.

出版信息

Cancer Drug Resist. 2024 Feb 28;7:7. doi: 10.20517/cdr.2023.98. eCollection 2024.

Abstract

Patients with chronic lymphocytic leukemia (CLL) have differing clinical outcomes. Recent advances integrating multi-omic data have uncovered molecular subtypes in CLL with different prognostic implications and may allow better prediction of therapy response. While finite-duration chemoimmunotherapy (CIT) has enabled deep responses and prolonged duration of responses in the past, the advent of novel targeted therapy for the treatment of CLL has dramatically changed the therapeutic landscape. In this review, we discuss the latest genomic, transcriptomic, and epigenetic alterations regarded as major drivers of resistance to CIT in CLL. Further advances in genomic medicine will allow for better prediction of response to therapy and provide the basis for rational selection of therapy for long-term remissions with minimal toxicity.

摘要

慢性淋巴细胞白血病(CLL)患者具有不同的临床结局。整合多组学数据的最新进展揭示了CLL中的分子亚型,这些亚型具有不同的预后意义,可能有助于更好地预测治疗反应。虽然过去有限疗程的化学免疫疗法(CIT)能够实现深度缓解并延长缓解期,但用于治疗CLL的新型靶向疗法的出现极大地改变了治疗格局。在本综述中,我们讨论了被视为CLL中CIT耐药主要驱动因素的最新基因组、转录组和表观遗传改变。基因组医学的进一步进展将有助于更好地预测治疗反应,并为合理选择疗法以实现长期缓解且毒性最小提供依据。

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