The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation

Davide Rossi(Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Valeria Spina(Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Clara Deambrogi(Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Silvia Rasi(Università degli Studi del Piemonte Orientale “Amedeo Avogadro”), Luca Laurenti(Università Cattolica del Sacro Cuore), Κώστας Σταματόπουλος(G. Papanikolaou General Hospital), Luca Arcaini(University of Pavia), Marco Lucioni(University of Pavia), Gabrielle B. Rocque(University of Wisconsin–Madison), Zijun Y. Xu‐Monette(The University of Texas MD Anderson Cancer Center), Carlo Visco(Ospedale San Bortolo), Julie Chang(University of Wisconsin–Madison), Ekaterina Chigrinova(Institute of Oncology Research), Francesco Forconi(University of Siena), Roberto Marasca(University of Modena and Reggio Emilia), Caroline Besson(Bicêtre Hospital), Theodora Papadaki(Evangelismos Hospital), Marco Paulli(University of Pavia), Luigi Maria Larocca(Università Cattolica del Sacro Cuore), Stefano Pileri(University of Bologna), Valter Gattei(Centro di Riferimento Oncologico), Francesco Bertoni(Institute of Oncology Research), Robin Foà(Sapienza University of Rome), Ken H. Young(The University of Texas MD Anderson Cancer Center), Gianluca Gaïdano(Università degli Studi del Piemonte Orientale “Amedeo Avogadro”)
Blood
January 26, 2011
Cited by 377Open Access
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Abstract

Richter syndrome (RS) represents the development of diffuse large B-cell lymphoma in the context of chronic lymphocytic leukemia. The scarcity of biologic information about RS has hampered the identification of molecular predictors of RS outcome. We addressed this issue by performing a comprehensive molecular characterization of 86 pathologically proven RS. TP53 disruption (47.1%) and c-MYC abnormalities (26.2%) were the most frequent alterations, whereas common genetic lesions of de novo diffuse large B-cell lymphoma were rare or absent. By multivariate analysis, lack of TP53 disruption (hazard ratio, 0.43; P = .003) translated into significant survival advantage with 57% reduction in risk of death. An algorithm based on TP53 disruption, response to RS treatment, and Eastern Cooperative Oncology Group performance status had 80.9% probability of correctly discriminating RS survival (c-index = .809). RS that were clonally unrelated to the paired chronic lymphocytic leukemia phase were clinically and biologically different from clonally related RS because of significantly longer survival (median, 62.5 months vs 14.2 months; P = .017) and lower prevalence of TP53 disruption (23.1% vs 60.0%; P = .018) and B-cell receptor stereotypy (7.6% vs 50.0%; P = .009). The molecular dissection of RS into biologically distinct categories highlights the genetic heterogeneity of this disorder and provides clinically relevant information for refining the prognostic stratification of patients.


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