Suppr超能文献

Detection by the fluorescence in situ hybridization technique of MYC translocations in paraffin-embedded lymphoma biopsy samples.

作者信息

Haralambieva Eugenia, Banham Alison H, Bastard Christian, Delsol Georges, Gaulard Philippe, Ott German, Pileri Stefano, Fletcher Jonathan A, Mason David Y

机构信息

Leukaemia Research Fund Immunodiagnostics Unit, Nuffield Department of Clinical Laboratory Sciences, John Radcliffe Hospital, Oxford OX3 9DU, UK.

出版信息

Br J Haematol. 2003 Apr;121(1):49-56. doi: 10.1046/j.1365-2141.2003.04238.x.

Abstract

The detection of chromosomal translocations by fluorescence in situ hybridization (FISH) is widely performed, but very few studies have attempted to apply this technique to paraffin-embedded routine biopsy samples. We report the analysis of paraffin sections from 36 B-cell lymphoma biopsies for MYC translocation breakpoints by FISH. The probes consisted of multi-YAC constructs that flanked the breakpoint region and that, therefore, separate upon a chromosomal translocation and generate split (or "segregated") signals (rather than a more ambiguous "co-localization" pattern, obtained when the two partners in a hybrid gene are detected). The results were assessed by a simple approach that avoids the counting of signal numbers per nucleus and so is appropriate for use in routine practice. A total of 19 of the 36 lymphomas were scored as positive for MYC translocation and this included 16 of the 20 patients in whom classic cytogenetics had shown the presence of the (8;14) translocation (or one of its two variants). We conclude that this two-colour "split-signal" technique based on breakpoint flanking probes can readily detect chromosomal translocations in paraffin sections. Furthermore, our results suggest that cases categorized as "atypical Burkitt's/Burkitt-like" lymphoma (at least for adult patients) are heterogeneous with respect to translocations involving the MYC oncogene, as well as immunophenotype and clinical features.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验