微阵列
组织微阵列
基因表达谱
细胞生长
基因签名
癌症研究
生物
外周T细胞淋巴瘤
DNA微阵列
医学
基因表达
病理
基因
免疫组织化学
T细胞
免疫学
遗传学
免疫系统
作者
Marta Cuadros,Sandeep S. Davé,Elaine S. Jaffe,Emiliano Honrado,Roger Milne,Javier Alves,José Rodríguez,Magdalena Zając,Javier Benı́tez,Louis M. Staudt,Beatriz Martínez‐Delgado
标识
DOI:10.1200/jco.2006.09.4474
摘要
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.
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