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Detalle de: Molecular heterogeneity in chronic lymphocytic leukemia is dependent on BCR signaling: clinical correlation

Title Molecular heterogeneity in chronic lymphocytic leukemia is dependent on BCR signaling: clinical correlation
Abstract

Chronic lymphocytic leukemia (CLL), the most frequent form of adult leukemia in Western countries, is characterized by a highly variable clinical course. Expression profiling of a series of 160 CLL patients allowed interrogating the genes presumably playing a role in pathogenesis, relating the expression of functionally relevant signatures with the time to treatment. First, we identified genes relevant to the biology and prognosis of CLL to build a CLL disease-specific oligonucleotide microarray. Second, we hybridized a training series on the CLL-specific chip, generating a biology-based predictive model. Finally, this model was validated in a new CLL series. Clinical variability in CLL is related with the expression of two gene clusters, associated with B-cell receptor (BCR) signaling and mitogen-activated protein kinase (MAPK) activation, including nuclear factor-kappaB1 (NF-kappaB1). The expression of these clusters identifies three risk-score groups with treatment-free survival probabilities at 5 years of 83, 50 and 17%. This molecular predictor can be applied to early clinical stages of CLL. This signature is related to immunoglobulin variable region somatic hypermutation and surrogate markers. There is a molecular heterogeneity in CLL, dependent on the expression of genes defining BCR and MAPK/NF-kappaB clusters, which can be used to predict time to treatment in early clinical stages.

Apa Reference Rodríguez, A., Villuendas, R., Yáñez, L., Gómez, M. E., Díaz, R., Pollán, M., Hernández, N., de la Cueva, P., Marín, M. C., Swat, A., Ruiz, E., Cuadrado, M. A., Conde, E., Lombardía, L., Cifuentes, F., Gonzalez, M., García-Marco, J. A., & Piris, M. A. (2007). Molecular heterogeneity in chronic lymphocytic leukemia is dependent on BCR signaling: clinical correlation. Leukemia, 21(9), 1984–1991. 10.1038/sj.leu.2404831
Doi 10.1038/sj.leu.2404831
Publication Date 5 Jul 2007
Publication Type Article
Researcher Ramon Díaz Uriarte
Ontology Transcriptomics, Expression Profiling, Clinical data
Research Groups Bioinformatics and Computational Biology in Cancer Evolution
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