PURPOSE: Gold standard to predict survival and stratify patients for risk-adapted therapy in diffuse large B-cell lymphoma (DLBCL) is the international prognostic index, although it does not consider the molecular heterogeneity of DLBCL. Deregulation of cyclin E (CCNE) is a strong predictor of poor prognosis in some neoplastic diseases. In tumor cells, it induces chromosomal instability with an increased rate of aneuploidy/polyploidy. EXPERIMENTAL DESIGN: We analyzed in this retrospective study the prognostic value of immunohistochemical CCNE expression on a validated tissue microarray containing 101 de novo DLBCLs and, in 9 cases, the CCNE-induced chromosomal instability as assessed by cytometry. RESULTS: Forty-six of 98 evaluable DLBCLs expressed CCNE in a mean proportion of 20 +/- 29% of tumor cells; 38 cases expressed CCNE in >/=20% of tumor cells. CCNE-positive samples were aneuploid compared with near tetraploidy in CCNE-negative cases. Multivariate analysis showed CCNE expression in >/=20% of tumor cells to be an international prognostic index-independent, Adriamycin-based treatment-independent, and BCL2-independent prognostic factor for poor disease-specific survival. CCNE expression in >/=80% of tumor cells was associated with dismal short-term prognosis. CCNE expression in >/=50% of tumor cells emerged as an independent predictive factor for standard CHOP treatment resistance. CONCLUSIONS: CCNE expression assessment is easy on paraffin-embedded tissue. The high prognostic value of CCNE expression in DLBCL may be the basis for future prospective trials. In addition, a high CCNE expression hints at the presence of a possible target for individualized cancer therapy.
PURPOSE: Gold standard to predict survival and stratify patients for risk-adapted therapy in diffuse large B-cell lymphoma (DLBCL) is the international prognostic index, although it does not consider the molecular heterogeneity of DLBCL. Deregulation of cyclin E (CCNE) is a strong predictor of poor prognosis in some neoplastic diseases. In tumor cells, it induces chromosomal instability with an increased rate of aneuploidy/polyploidy. EXPERIMENTAL DESIGN: We analyzed in this retrospective study the prognostic value of immunohistochemical CCNE expression on a validated tissue microarray containing 101 de novo DLBCLs and, in 9 cases, the CCNE-induced chromosomal instability as assessed by cytometry. RESULTS: Forty-six of 98 evaluable DLBCLs expressed CCNE in a mean proportion of 20 +/- 29% of tumor cells; 38 cases expressed CCNE in >/=20% of tumor cells. CCNE-positive samples were aneuploid compared with near tetraploidy in CCNE-negative cases. Multivariate analysis showed CCNE expression in >/=20% of tumor cells to be an international prognostic index-independent, Adriamycin-based treatment-independent, and BCL2-independent prognostic factor for poor disease-specific survival. CCNE expression in >/=80% of tumor cells was associated with dismal short-term prognosis. CCNE expression in >/=50% of tumor cells emerged as an independent predictive factor for standard CHOP treatment resistance. CONCLUSIONS:CCNE expression assessment is easy on paraffin-embedded tissue. The high prognostic value of CCNE expression in DLBCL may be the basis for future prospective trials. In addition, a high CCNE expression hints at the presence of a possible target for individualized cancer therapy.
Authors: A Chanut; F Duguet; A Marfak; A David; B Petit; M Parrens; S Durand-Panteix; M Boulin-Deveza; N Gachard; I Youlyouz-Marfak; D Bordessoule; J Feuillard; N Faumont Journal: Leukemia Date: 2013-09-23 Impact factor: 11.528
Authors: Chun Chao; Michael J Silverberg; Lanfang Xu; Lie-Hong Chen; Brandon Castor; Otoniel Martínez-Maza; Donald I Abrams; Hongbin D Zha; Reina Haque; Jonathan Said Journal: Clin Cancer Res Date: 2015-01-14 Impact factor: 12.531
Authors: Samuel F Bakhoum; Olga V Danilova; Prabhjot Kaur; Norman B Levy; Duane A Compton Journal: Clin Cancer Res Date: 2011-12-15 Impact factor: 12.531
Authors: Inga Nagel; Takashi Akasaka; Wolfram Klapper; Stefan Gesk; Sebastian Böttcher; Matthias Ritgen; Lana Harder; Michael Kneba; Martin J S Dyer; Reiner Siebert Journal: Haematologica Date: 2009-05-19 Impact factor: 9.941