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Unbalanced MYC break-apart FISH patterns indicate the presence of a MYC rearrangement in HGBCL-DH-BCL2.

Authors :
Collinge B
Ben-Neriah S
Hilton LK
Alduaij W
Tucker T
Slack GW
Farinha P
Craig JW
Boyle M
Meissner B
Villa D
Gerrie AS
Sehn LH
Savage KJ
Morin RD
Mungall AJ
Steidl C
Scott DW
Source :
Blood [Blood] 2024 Oct 10; Vol. 144 (15), pp. 1611-1616.
Publication Year :
2024

Abstract

Abstract: Fluorescence in situ hybridization (FISH) using break-apart probes is recommended for identifying high-grade B-cell lymphoma with MYC and BCL2 rearrangements (HGBCL-DH-BCL2). Unbalanced MYC break-apart patterns, in which the red or green signal is lost, are commonly reported as an equivocal result by clinical laboratories. In a cohort of 297 HGBCL-DH-BCL2, 13% of tumors had unbalanced MYC break-apart patterns with loss of red (LR; 2%) or loss of green (LG; 11%) signal. To determine the significance of these patterns, MYC rearrangements were characterized by sequencing in 130 HGBCL-DH-BCL2, including 3 LR and 14 LG tumors. A MYC rearrangement was identified for 71% of tumors with LR or LG patterns, with the majority involving immunoglobulin loci or other recurrent MYC rearrangement partners. The architecture of these rearrangements consistently preserved the rearranged MYC allele, with the MYC gene predicted to be on the derivative chromosome containing the signal that is still present in nearly all cases. MYC protein expression, MYC messenger RNA expression, and the proportion of tumors expressing the dark-zone signature was not significantly different between balanced and unbalanced groups. These results support a recommendation that unbalanced MYC break-apart FISH patterns be reported as positive for MYC rearrangement in the context of diagnosing HGBCL-DH-BCL2.<br /> (© 2024 American Society of Hematology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.)

Details

Language :
English
ISSN :
1528-0020
Volume :
144
Issue :
15
Database :
MEDLINE
Journal :
Blood
Publication Type :
Academic Journal
Accession number :
39133931
Full Text :
https://doi.org/10.1182/blood.2024025603