| Literature DB >> 34147695 |
Fanny Drieux1, Philippe Ruminy2, Vincent Sater3, Vinciane Marchand3, Virginie Fataccioli4, Marie-Delphine Lanic3, Mathieu Viennot3, Pierre-Julien Viailly3, Nouhoum Sako5, Cyrielle Robe5, Aurélie Dupuy5, David Vallois6, Liana Veresezan7, Elsa Poullot4, Jean-Michel Picquenot7, Céline Bossard8, Marie Parrens9, François Lemonnier10, Fabrice Jardin3, Laurence de Leval6, Philippe Gaulard11.
Abstract
The genetic basis of peripheral T-cell lymphoma (PTCL) is complex and encompasses several recurrent fusion transcripts discovered over the past years by means of massive parallel sequencing. However, there is currently no affordable and rapid technology for their simultaneous detection in clinical samples. Herein, we developed a multiplex ligation-dependent RT-PCR-based assay, followed by high-throughput sequencing, to detect 33 known PTCL-associated fusion transcripts. Anaplastic lymphoma kinase (ALK) fusion transcripts were detected in 15 of 16 ALK-positive anaplastic large-cell lymphomas. The latter case was further characterized by a novel SATB1_ALK fusion transcript. Among 239 other PTCLs, representative of nine entities, non-ALK fusion transcripts were detected in 24 samples, mostly of follicular helper T-cell (TFH) derivation. The most frequent non-ALK fusion transcript was ICOS_CD28 in nine TFH-PTCLs, one PTCL not otherwise specified, and one adult T-cell leukemia/lymphoma, followed by VAV1 rearrangements with multiple partners (STAP2, THAP4, MYO1F, and CD28) in five samples (three PTCL not otherwise specified and two TFH-PTCLs). The other rearrangements were CTLA4_CD28 (one TFH-PTCL), ITK_SYK (two TFH-PTCLs), ITK_FER (one TFH-PTCL), IKZF2_ERBB4 (one TFH-PTCL and one adult T-cell leukemia/lymphoma), and TP63_TBL1XR1 (one ALK-negative anaplastic large-cell lymphoma). All fusions detected by our assay were validated by conventional RT-PCR and Sanger sequencing in 30 samples with adequate material. The simplicity and robustness of this targeted multiplex assay make it an attractive tool for the characterization of these heterogeneous diseases.Entities:
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Year: 2021 PMID: 34147695 DOI: 10.1016/j.jmoldx.2021.04.013
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568