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Clinical Cancer Research Vol. 10, 4971-4982, August 1, 2004
© 2004 American Association for Cancer Research


Molecular Oncology, Markers, Clinical Correlates

Expression Profiling of T-Cell Lymphomas Differentiates Peripheral and Lymphoblastic Lymphomas and Defines Survival Related Genes

Beatriz Martinez-Delgado1, Barbara Meléndez1, Marta Cuadros1, Javier Alvarez5, Jose Maria Castrillo6, Ana Ruiz de la Parte6, Manuela Mollejo7, Carmen Bellas8, Ramon Diaz2, Luis Lombardía3, Fatima Al-Shahrour2, Orlando Domínguez4, Alberto Cascon1, Mercedes Robledo1, Carmen Rivas1 and Javier Benitez1

1 Human Genetics Department, 2 Bioinformatics Unit, 3 Genomic Analysis Unit, and 4 Genomics Unit, Centro Nacional de Investigaciones Oncologicas, Madrid; 5 Pathology Department, Hospital La Paz, Madrid; 6 Pathology and Internal Medicine Departments, Fundación Jimenez Diaz, Madrid; 7 Pathology Department, Hospital Virgen de la Salud, Toledo; and 8 Pathology Department. Hospital Ramon y Cajal, Madrid, Spain

ABSTRACT

Purpose: T-Cell lymphomas constitute heterogeneous and aggressive tumors in which pathogenic alterations remain largely unknown. Expression profiling has demonstrated to be a useful tool for molecular classification of tumors.

Experimental Design: Using DNA microarrays (CNIO-OncoChip) containing 6386 cancer-related genes, we established the expression profiling of T-cell lymphomas and compared them to normal lymphocytes and lymph nodes.

Results: We found significant differences between the peripheral and lymphoblastic T-cell lymphomas, which include a deregulation of nuclear factor-{kappa}B signaling pathway. We also identify differentially expressed genes between peripheral T-cell lymphoma tumors and normal T lymphocytes or reactive lymph nodes, which could represent candidate tumor markers of these lymphomas. Additionally, a close relationship between genes associated to survival and those that differentiate among the stages of disease and responses to therapy was found.

Conclusions: Our results reflect the value of gene expression profiling to gain insight about the molecular alterations involved in the pathogenesis of T-cell lymphomas.




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