Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers

Peripheral T-cell lymphoma (PTCL) is a clinically aggressive disease, with a poor response to therapy and a low overall survival rate of approximately 30% after 5 years. We have analyzed a series of 105 cases with a diagnosis of PTCL using a customized NanoString platform (NanoString Technologies, S...

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Autores: Rodríguez, Marta, Alonso Alonso, Ruth, Tomás Roca, Laura, Rodríguez Pinilla, Socorro Maria, Manso, Rebeca, Cereceda, Laura, Borregón, Jennifer, Villaescusa, Teresa, Cordoba, Raúl, Sánchez Beato, Margarita, Fernández Miranda, Ismael, Betancor, Isabel, Barcena, Carmen, García, Juan F., Mollejo, Manuela, García Cosio, Mónica, Martín Acosta, Paloma, Climent, Fina, Caballero, Dolores, Fuente, Lorena de la, Minguez, Pablo, Kessler, Linda, Scholz, Catherine, Gualberto, Antonio, Mondejar, Rufino, Piris, Miguel A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/182344
Acceso en línea:https://hdl.handle.net/2445/182344
Access Level:acceso abierto
Palabra clave:Limfomes
Pronòstic mèdic
Lymphomas
Prognosis
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spelling Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markersRodríguez, MartaAlonso Alonso, RuthTomás Roca, LauraRodríguez Pinilla, Socorro MariaManso, RebecaCereceda, LauraBorregón, JenniferVillaescusa, TeresaCordoba, RaúlSánchez Beato, MargaritaFernández Miranda, IsmaelBetancor, IsabelBarcena, CarmenGarcía, Juan F.Mollejo, ManuelaGarcía Cosio, MónicaMartín Acosta, PalomaCliment, FinaCaballero, DoloresFuente, Lorena de laMinguez, PabloKessler, LindaScholz, CatherineGualberto, AntonioMondejar, RufinoPiris, Miguel A.LimfomesPronòstic mèdicLymphomasPrognosisPeripheral T-cell lymphoma (PTCL) is a clinically aggressive disease, with a poor response to therapy and a low overall survival rate of approximately 30% after 5 years. We have analyzed a series of 105 cases with a diagnosis of PTCL using a customized NanoString platform (NanoString Technologies, Seattle, WA) that includes 208 genes associated with T-cell differentiation, oncogenes and tumor suppressor genes, deregulated pathways, and stromal cell subpopulations. A comparative analysis of the various histological types of PTCL (angioimmunoblastic T-cell lymphoma [AITL]; PTCL with T follicular helper [TFH] phenotype; PTCL not otherwise specified [NOS]) showed that specific sets of genes were associated with each of the diagnoses. These included TFH markers, cytotoxic markers, and genes whose expression was a surrogate for specific cellular subpopulations, including follicular dendritic cells, mast cells, and genes belonging to precise survival (NF-κB) and other pathways. Furthermore, the mutational profile was analyzed using a custom panel that targeted 62 genes in 76 cases distributed in AITL, PTCL-TFH, and PTCL-NOS. The main differences among the 3 nodal PTCL classes involved the RHOAG17V mutations (P < .0001), which were approximately twice as frequent in AITL (34.09%) as in PTCL-TFH (16.66%) cases but were not detected in PTCL-NOS. A multivariate analysis identified gene sets that allowed the series of cases to be stratified into different risk groups. This study supports and validates the current division of PTCL into these 3 categories, identifies sets of markers that can be used for a more precise diagnosis, and recognizes the expression of B-cell genes as an IPI-independent prognostic factor for AITL.American Society of Hematology2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/182344Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1182/bloodadvances.2021005171Blood Advances, 2021, vol. 5, num. 24, p. 5588-5598https://doi.org/10.1182/bloodadvances.2021005171info:eu-repo/grantAgreement/EC/H2020/882597cc by-nc-nd (c) The American Society of Hematology, 2021http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1823442026-05-27T06:46:51Z
dc.title.none.fl_str_mv Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
title Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
spellingShingle Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
Rodríguez, Marta
Limfomes
Pronòstic mèdic
Lymphomas
Prognosis
title_short Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
title_full Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
title_fullStr Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
title_full_unstemmed Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
title_sort Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers
dc.creator.none.fl_str_mv Rodríguez, Marta
Alonso Alonso, Ruth
Tomás Roca, Laura
Rodríguez Pinilla, Socorro Maria
Manso, Rebeca
Cereceda, Laura
Borregón, Jennifer
Villaescusa, Teresa
Cordoba, Raúl
Sánchez Beato, Margarita
Fernández Miranda, Ismael
Betancor, Isabel
Barcena, Carmen
García, Juan F.
Mollejo, Manuela
García Cosio, Mónica
Martín Acosta, Paloma
Climent, Fina
Caballero, Dolores
Fuente, Lorena de la
Minguez, Pablo
Kessler, Linda
Scholz, Catherine
Gualberto, Antonio
Mondejar, Rufino
Piris, Miguel A.
author Rodríguez, Marta
author_facet Rodríguez, Marta
Alonso Alonso, Ruth
Tomás Roca, Laura
Rodríguez Pinilla, Socorro Maria
Manso, Rebeca
Cereceda, Laura
Borregón, Jennifer
Villaescusa, Teresa
Cordoba, Raúl
Sánchez Beato, Margarita
Fernández Miranda, Ismael
Betancor, Isabel
Barcena, Carmen
García, Juan F.
Mollejo, Manuela
García Cosio, Mónica
Martín Acosta, Paloma
Climent, Fina
Caballero, Dolores
Fuente, Lorena de la
Minguez, Pablo
Kessler, Linda
Scholz, Catherine
Gualberto, Antonio
Mondejar, Rufino
Piris, Miguel A.
author_role author
author2 Alonso Alonso, Ruth
Tomás Roca, Laura
Rodríguez Pinilla, Socorro Maria
Manso, Rebeca
Cereceda, Laura
Borregón, Jennifer
Villaescusa, Teresa
Cordoba, Raúl
Sánchez Beato, Margarita
Fernández Miranda, Ismael
Betancor, Isabel
Barcena, Carmen
García, Juan F.
Mollejo, Manuela
García Cosio, Mónica
Martín Acosta, Paloma
Climent, Fina
Caballero, Dolores
Fuente, Lorena de la
Minguez, Pablo
Kessler, Linda
Scholz, Catherine
Gualberto, Antonio
Mondejar, Rufino
Piris, Miguel A.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Limfomes
Pronòstic mèdic
Lymphomas
Prognosis
topic Limfomes
Pronòstic mèdic
Lymphomas
Prognosis
description Peripheral T-cell lymphoma (PTCL) is a clinically aggressive disease, with a poor response to therapy and a low overall survival rate of approximately 30% after 5 years. We have analyzed a series of 105 cases with a diagnosis of PTCL using a customized NanoString platform (NanoString Technologies, Seattle, WA) that includes 208 genes associated with T-cell differentiation, oncogenes and tumor suppressor genes, deregulated pathways, and stromal cell subpopulations. A comparative analysis of the various histological types of PTCL (angioimmunoblastic T-cell lymphoma [AITL]; PTCL with T follicular helper [TFH] phenotype; PTCL not otherwise specified [NOS]) showed that specific sets of genes were associated with each of the diagnoses. These included TFH markers, cytotoxic markers, and genes whose expression was a surrogate for specific cellular subpopulations, including follicular dendritic cells, mast cells, and genes belonging to precise survival (NF-κB) and other pathways. Furthermore, the mutational profile was analyzed using a custom panel that targeted 62 genes in 76 cases distributed in AITL, PTCL-TFH, and PTCL-NOS. The main differences among the 3 nodal PTCL classes involved the RHOAG17V mutations (P < .0001), which were approximately twice as frequent in AITL (34.09%) as in PTCL-TFH (16.66%) cases but were not detected in PTCL-NOS. A multivariate analysis identified gene sets that allowed the series of cases to be stratified into different risk groups. This study supports and validates the current division of PTCL into these 3 categories, identifies sets of markers that can be used for a more precise diagnosis, and recognizes the expression of B-cell genes as an IPI-independent prognostic factor for AITL.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/182344
url https://hdl.handle.net/2445/182344
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1182/bloodadvances.2021005171
Blood Advances, 2021, vol. 5, num. 24, p. 5588-5598
https://doi.org/10.1182/bloodadvances.2021005171
info:eu-repo/grantAgreement/EC/H2020/882597
dc.rights.none.fl_str_mv cc by-nc-nd (c) The American Society of Hematology, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-nc-nd (c) The American Society of Hematology, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Society of Hematology
publisher.none.fl_str_mv American Society of Hematology
dc.source.none.fl_str_mv Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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