High-resolution copy number analysis of paired normal-tumor samples from diffuse large B cell lymphoma View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-01

AUTHORS

Elena Sebastián, Miguel Alcoceba, David Martín-García, Óscar Blanco, Mercedes Sanchez-Barba, Ana Balanzategui, Luis Marín, Santiago Montes-Moreno, Eva González-Barca, Emilia Pardal, Cristina Jiménez, María García-Álvarez, Guillem Clot, Ángel Carracedo, Norma C. Gutiérrez, M. Eugenia Sarasquete, Carmen Chillón, Rocío Corral, M. Isabel Prieto-Conde, M. Dolores Caballero, Itziar Salaverria, Ramón García-Sanz, Marcos González

ABSTRACT

Copy number analysis can be useful for assessing prognosis in diffuse large B cell lymphoma (DLBCL). We analyzed copy number data from tumor samples of 60 patients diagnosed with DLBCL de novo and their matched normal samples. We detected 63 recurrent copy number alterations (CNAs), including 33 gains, 30 losses, and nine recurrent acquired copy number neutral loss of heterozygosity (CNN-LOH). Interestingly, 20 % of cases acquired CNN-LOH of 6p21 locus, which involves the HLA region. In normal cells, there were no CNAs but we observed CNN-LOH involving some key lymphoma regions such as 6p21 and 9p24.1 (5 %) and 17p13.1 (2.5 %) in DLBCL patients. Furthermore, a model with some specific CNA was able to predict the subtype of DLBCL, 1p36.32 and 10q23.31 losses being restricted to germinal center B cell-like (GCB) DLBCL. In contrast, 8p23.3 losses and 11q24.3 gains were strongly associated with the non-GCB subtype. A poor prognosis was associated with biallelic inactivation of TP53 or 18p11.32 losses, while prognosis was better in cases carrying 11q24.3 gains. In summary, CNA abnormalities identify specific DLBCL groups, and we describe CNN-LOH in germline cells from DLBCL patients that are associated with genes that probably play a key role in DLBCL development. More... »

PAGES

253-262

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00277-015-2552-3

    DOI

    http://dx.doi.org/10.1007/s00277-015-2552-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1046158720

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26573278


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