PURPOSE: Nodal peripheral T-cell lymphomas (PTCLs) constitute a heterogeneous group of neoplasms, suggesting the existence of molecular differences contributing to their histologic and clinical variability. Initial expression profiling studies of T-cell lymphomas have been inconclusive in yielding clinically relevant insights. We applied DNA microarrays to gain insight into the molecular signatures associated with prognosis. MATERIALS AND METHODS: We analyzed the expression profiles of 35 nodal PTCLs (23 PTCLs unspecified and 12 angioimmunoblastic) using two different microarray platforms, the cDNA microarray developed at the Spanish National Cancer Centre and an oligonucleotide microarray. RESULTS: We identified five clusters of genes, the expression of which varied significantly among the samples. Genes in these clusters seemed to be functionally related to different cellular processes such as proliferation, inflammatory response, and T-cell or B-cell lineages. Regardless of the microarray platform used, overexpression of genes in the proliferation signature was associated significantly with shorter survival of patients. This proliferation signature included genes commonly associated with the cell cycle, such as CCNA, CCNB, TOP2A, and PCNA. Moreover the PTCL proliferation signature showed a statistically significant inverse correlation with clusters of the inflammatory response (P < .0001), as well as with the percentage of CD68(+) cells. CONCLUSION: Our findings indicate that proliferation could be an important factor in evaluating nodal PTCL outcome and may help to define a more aggressive phenotype.
PURPOSE:Nodal peripheral T-cell lymphomas (PTCLs) constitute a heterogeneous group of neoplasms, suggesting the existence of molecular differences contributing to their histologic and clinical variability. Initial expression profiling studies of T-cell lymphomas have been inconclusive in yielding clinically relevant insights. We applied DNA microarrays to gain insight into the molecular signatures associated with prognosis. MATERIALS AND METHODS: We analyzed the expression profiles of 35 nodal PTCLs (23 PTCLs unspecified and 12 angioimmunoblastic) using two different microarray platforms, the cDNA microarray developed at the Spanish National Cancer Centre and an oligonucleotide microarray. RESULTS: We identified five clusters of genes, the expression of which varied significantly among the samples. Genes in these clusters seemed to be functionally related to different cellular processes such as proliferation, inflammatory response, and T-cell or B-cell lineages. Regardless of the microarray platform used, overexpression of genes in the proliferation signature was associated significantly with shorter survival of patients. This proliferation signature included genes commonly associated with the cell cycle, such as CCNA, CCNB, TOP2A, and PCNA. Moreover the PTCL proliferation signature showed a statistically significant inverse correlation with clusters of the inflammatory response (P < .0001), as well as with the percentage of CD68(+) cells. CONCLUSION: Our findings indicate that proliferation could be an important factor in evaluating nodal PTCL outcome and may help to define a more aggressive phenotype.
Authors: Javeed Iqbal; George Wright; Chao Wang; Andreas Rosenwald; Randy D Gascoyne; Dennis D Weisenburger; Timothy C Greiner; Lynette Smith; Shuangping Guo; Ryan A Wilcox; Bin Tean Teh; Soon Thye Lim; Soon Yong Tan; Lisa M Rimsza; Elaine S Jaffe; Elias Campo; Antonio Martinez; Jan Delabie; Rita M Braziel; James R Cook; Raymond R Tubbs; German Ott; Eva Geissinger; Philippe Gaulard; Pier Paolo Piccaluga; Stefano A Pileri; Wing Y Au; Shigeo Nakamura; Masao Seto; Francoise Berger; Laurence de Leval; Joseph M Connors; James Armitage; Julie Vose; Wing C Chan; Louis M Staudt Journal: Blood Date: 2014-03-14 Impact factor: 22.113
Authors: Eric D Hsi; Jonathan Said; William R Macon; Scott J Rodig; Sarah L Ondrejka; Randy D Gascoyne; Elizabeth A Morgan; David M Dorfman; Matthew J Maurer; Ahmet Dogan Journal: Am J Surg Pathol Date: 2014-06 Impact factor: 6.394
Authors: Bettina Bisig; Aurélien de Reyniès; Christophe Bonnet; Pierre Sujobert; David S Rickman; Teresa Marafioti; Georges Delsol; Laurence Lamant; Philippe Gaulard; Laurence de Leval Journal: Haematologica Date: 2013-05-28 Impact factor: 9.941