免疫功能失调与感染--CLL 与治疗之间的相互作用:对当前治疗范例和未满足需求的反思。

IF 1.7 4区 医学 Q3 HEMATOLOGY Acta Haematologica Pub Date : 2024-01-01 Epub Date: 2023-07-27 DOI:10.1159/000533234
Ernesto Gargiulo, Rebecca Svanberg Teglgaard, Tereza Faitová, Carsten Utoft Niemann
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引用次数: 0

摘要

背景:摘要:基于联合化疗免疫疗法和靶向治疗的治疗策略的进步延长了慢性淋巴细胞白血病患者的预期寿命。然而,在过去的几十年中,感染导致的死亡率和发病率并未得到改善。虽然各种治疗方案在靶向白血病细胞方面效率很高,但一些研究强调了不同治疗方法与肿瘤微环境免疫成分之间的相互作用,这极大地影响了它们的临床疗效,并增加了感染风险:鉴于 CLL 本身会造成严重的免疫功能障碍,因此治疗可能是一把双刃剑。因此,我们必须进一步了解和认识常规疗法如何影响疾病-微环境-感染轴,以确保为每位患者制定最佳的个性化策略。这就需要仔细考虑高效疗法的优缺点,无论是化学免疫疗法还是靶向组合疗法,都会导致感染并发症的风险。为此,我们基于机器学习的算法 CLL 治疗-感染模型目前已应用于丹麦东部的当地电子病历系统,旨在早期识别严重感染高风险患者(PreVent-AcaLL;NCT03868722)。在此,我们将回顾 CLL 免疫功能障碍和感染的管理策略。
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Immune Dysfunction and Infection - Interaction between CLL and Treatment: A Reflection on Current Treatment Paradigms and Unmet Needs.

Background: Chronic lymphocytic leukemia (CLL) is a hematological malignancy characterized by immune dysfunction, which significantly contributes to increased morbidity and mortality due to infections.

Summary: Advancement in therapeutic strategies based on combination chemoimmunotherapy and targeted treatment have increased life expectancy for patients affected by CLL. However, mortality and morbidity due to infection showed no improvement over the last decades. Although therapy options are highly efficient in targeting leukemic cells, several studies highlighted the interactions of different treatments with the tumor microenvironment immune components, significantly impacting their clinical efficacy and fostering increased risk of infections.

Key messages: Given the profound immune dysfunction caused by CLL itself, treatment can thus represent a double-edged sword. Thus, it is essential to increase our understanding and awareness on how conventional therapies affect the disease-microenvironment-infection axis to ensure the best personalized strategy for each patient. This requires careful consideration of the advantages and disadvantages of efficient treatments, whether chemoimmunotherapy or targeted combinations, leading to risk of infectious complications. To this regard, our machine learning-based algorithm CLL Treatment-Infection Model, currently implemented into the local electronic health record system for Eastern Denmark, aims at early identification of patients at high risk of serious infections (PreVent-ACaLL; NCT03868722). We here review strategies for management of immune dysfunction and infections in CLL.

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来源期刊
Acta Haematologica
Acta Haematologica 医学-血液学
CiteScore
4.90
自引率
0.00%
发文量
61
审稿时长
6-12 weeks
期刊介绍: ''Acta Haematologica'' is a well-established and internationally recognized clinically-oriented journal featuring balanced, wide-ranging coverage of current hematology research. A wealth of information on such problems as anemia, leukemia, lymphoma, multiple myeloma, hereditary disorders, blood coagulation, growth factors, hematopoiesis and differentiation is contained in first-rate basic and clinical papers some of which are accompanied by editorial comments by eminent experts. These are supplemented by short state-of-the-art communications, reviews and correspondence as well as occasional special issues devoted to ‘hot topics’ in hematology. These will keep the practicing hematologist well informed of the new developments in the field.
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