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Distinct Immunogenetic Signatures in IgA Versus IgG Multiple Myeloma

Authors :
Simone Ferrero
Theodoros Moysiadis
Evangelos Terpos
Ramón García Sanz
Andreas Agathangelidis
Chrysoula Belessi
Evdoxia Hatjiharissi
Chrysavgi Lalayanni
Alejandro Medina
Elisa Genuardi
Kostas Stamatopoulos
Apostolia Papalexandri
Achilles Anagnostopoulos
Anastasia Hadzidimitriou
Katerina Gemenetzi
Maria Papaioannou
Marco Ladetto
Cristina Jimenez
Source :
Blood. 128:2062-2062
Publication Year :
2016
Publisher :
American Society of Hematology, 2016.

Abstract

Immunogenetic analysis of MM has proven instrumental in elucidating disease ontogeny e.g. by revealing the clonal relationship between switch variants expressed by the bone marrow plasma cells and myeloma progenitors in the marrow and blood; demonstrating the marked under-representation of the inherently autoreactive IGHV4-34 gene; and, identifying patterns of somatic hypermutation (SHM) indicative of post-germinal center derivation. Yet, limited information exists about the composition of the immunoglobulin (IG) gene repertoire in MM cases expressing different heavy chain isotype, in particular A versus G. This is relevant in light of studies showing an overall higher SHM impact in CD27+IgA+ compared to CD27+IgG+ normal memory B cells, perhaps reflecting a distinct location of the immune response, especially considering that IgA class switching mostly occurs in mucosa-associated lymphoid tissues. From a clinical perspective, it is also relevant to note that IgA patients exhibit a higher incidence of the t(4;14) translocation, shorter progression-free survival and worse median overall survival compared to IgG patients. Here, we explored potential differences in the immunoprofiles of IgA versus IgG MM focusing on IG gene repertoire and SHM characteristics. In total, 428 patients with a diagnosis of MM following the IMWG criteria from collaborating institutions in Greece, Italy and Spain (n=355) or retrieved from the LIGM-DB (n=73) were included in the study. Of these, 135 and 293 belonged to IgA and IgG MM groups, respectively. Amongst the evaluated productive IG rearrangements, IGHV3 subgroup genes predominated in both groups (IgA: 58.5%; IgG: 52.2%). However, at the individual gene level, major asymmetries were noted, since only 7 IGHV genes accounted for 41.6% of the IgA and 46.7% of the IgG cases, respectively. Of these, 3 genes were shared between IgA and IgG MM cases: IGHV3-30 (IgA: 11.9% - IgG: 13.3%), IGHV3-23 (IgA: 5.2% - IgG: 6.8%) and IGHV3-9 (IgA: 6.7% - IgG: 4.4%), whereas the remaining 4 of the 7 most frequent genes were specific for each group with significant (p Disclosures Terpos: Celgene: Honoraria; Novartis: Honoraria; Genesis: Consultancy, Honoraria, Other: Travel expenses; BMS: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Other: Travel expenses, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel expenses, Research Funding. Stamatopoulos:Gilead: Consultancy, Honoraria, Research Funding; Abbvie: Honoraria, Other: Travel expenses; Novartis: Honoraria, Research Funding; Janssen: Honoraria, Other: Travel expenses, Research Funding.

Details

ISSN :
15280020 and 00064971
Volume :
128
Database :
OpenAIRE
Journal :
Blood
Accession number :
edsair.doi.dedup.....ee4b7d345114fdcc13582493fef92a90
Full Text :
https://doi.org/10.1182/blood.v128.22.2062.2062