462
Views
1
CrossRef citations to date
0
Altmetric
Original Article: Clinical

MYC immunohistochemical and cytogenetic analysis are required for identification of clinically relevant aggressive B cell lymphoma subtypes

, , , , , , & show all
Pages 1391-1398 | Received 25 Apr 2017, Accepted 14 Aug 2017, Published online: 03 Sep 2017
 

Abstract

Accurate subclassification of aggressive B cell lymphomas (ABCLs) requires integration of morphologic, immunohistochemical (IHC), and cytogenetic information. Optimal strategies have not been well defined for diagnosis of high grade B cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements (HGBLwR) and double expressor lymphomas with MYC and BCL2 protein overexpression. One hundred and eighty seven ABCLs were investigated with complete IHC and FISH analysis. Morphologic and IHC analysis was insufficient to identify clinically relevant HGBLwR. Approximately, 75% of cases classified as HGBLwR showed conventional DLBCL morphologic features. Fourteen percent of MYC-rearranged cases were negative by IHC. Conversely, 60% of cases positive for MYC by IHC did not demonstrate a MYC rearrangement. Analysis by FISH without MYC and BCL2 IHC would miss 41 cases of double expressor lymphoma. Complete IHC and FISH analysis is recommended in the evaluation of all ABCLs.

Potential conflict of interest

Disclosure forms provided by the authors are available with the full text of this article online at https://doi.org/10.1080/10428194.2017.1370547.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,065.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.