cd200、cd103、cd11c在流式细胞术诊断慢性b淋巴细胞增生性疾病中的作用:文献综述

K. Baktikulova, S. Kurmangalieva, V. Toymanova, Kh. Kudabaeva, E. Bazargaliev, N. Sagindykova
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引用次数: 0

摘要

相关性:用多参数流式细胞荧光法进行免疫表型分型可以区分慢性b淋巴增生性疾病的经典变体。然而,一些非典型的情况很难解释;它们引发了对新的差异标记的寻找。本研究旨在分析单克隆标志物CD200、CD103和CD11c在毛细胞白血病、脾边缘区淋巴瘤和脾套区淋巴瘤鉴别诊断中的预测价值。方法:使用PubMed、谷歌Scholar、Cochrane Library、Web of Science、Scopus、Сyberleninka和eLIBRARY电子图书馆等科学出版物数据库和专业搜索引擎,研究了检索深度为10年的开放获取文章。结果,确定了30种文献来源,其中8种出版物是本文分析材料的基础。纳入标准:证据等级A、B出版物:荟萃分析、系统评价、队列和横断面研究。排除标准:短消息或宣传品形式的专家意见。结果:流式细胞术在b淋巴细胞增生性疾病的免疫表型诊断中,揭示了一些传统标志物具有不同程度的信息性;附加的鉴别标记CD200、CD103和CD11c在具有淋巴样因子初始免疫表型和形态特征的b细胞增生性疾病的不同变体之间的鉴别诊断中显示出很高的信息性。结论:对所选出版物的分析为改进慢性b淋巴细胞增生性疾病鉴别诊断的多参数组提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE ROLE OF DIFFERENTIAL MARKERS CD 200, CD103, CD11C IN THE DIAGNOSIS OF CHRONIC B-LYMPHOPROLIFERATIVE DISEASES BY FLOW CYTOMETRY: A LITERATURE REVIEW
Relevance: Immunophenotyping with multiparameter flow cytofluorimetry allows differentiating classical variants of chronic B-lymphoproliferative diseases. However, some atypical conditions are hard to interpret; they gave rise to the search for new differential markers. The study aimed to analyze the predictive value of monoclonal markers CD200, CD103, and CD11c in differential diagnostics of hairy cell leukemia, splenic marginal zone lymphoma, and splenic mantle zone lymphoma. Methods: We studied open access articles with a search depth of 10 years using the following databases of scientific publications and specialized search engines: PubMed, Google Scholar, Cochrane Library, Web of Science, Scopus, Сyberleninka, and the eLIBRARY electronic library. As a result, 30 literary sources were identified, of which eight publications were the basis of the analytical material for this article. Inclusion criteria: Evidence level A, B publications: meta-analyses, systematic reviews, cohort, and cross-sectional studies. Exclusion criteria: expert opinion in the form of short messages or promotional articles. Results: We revealed a different degree of informativeness of some traditional markers in immunophenotypic diagnostics of B-cell lymphoproliferative diseases by flow cytometry; the use of additional differential markers CD200, CD103, and CD11c showed their high informativeness in differential diagnostics between different variants of B-cell lymphoproliferative diseases with initial immunophenotypic and morphological characteristics of lymphoid elements. Conclusion: Analysis of the selected publications gives grounds to improve the multiparametric panel for differential diagnostics of chronic B-lymphoproliferative diseases.
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