作者
M. Rodriguez,Ruth Alonso-Alonso,Laura Tomás-Roca,Socorro María Rodríguez Pinilla,Rebeca Manso,Laura Cereceda,Jennifer Borregón,Teresa Villaescusa,Raul Cordoba,Margarita Sánchez-Beato,Ismael Fernández-Miranda,Isabel Betancor,Carmen Bárcena,Juan F. García,Manuela Mollejo,Mónica García-Cosío,Paloma Martín-Acosta,Fina Climent,Maria Dolores Caballero,Lorena de la Fuente,Pablo Minguez,L. Kessler,Catherine Scholz,Antonio Gualberto,Rufino Mondejar,Miguel A. Piris
摘要
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.