Identification of a Proliferation Signature Related to Survival in Nodal Peripheral T-Cell Lymphomas

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
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:25 (22): 3321-3329 被引量:122
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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