Risk stratification for indolent lymphomas

Revista Brasileira de Hematologia e Hemoterapia

Abrahão Elias Hallack Neto²  Renata Oliveira Costa¹  Angelo Atalla²  Frederico Luiz Dulley¹  Dalton Alencar Fischer Chamone¹  Juliana Pereira¹ 

[1] ,Universidade Federal de Juiz de Fora - UFJF Faculdade de Medicina Juiz de Fora MG ,Brasil

关键词: Lymphoma;    non-Hodgkin;    Prognosis;    Treatment outcome;    Biologic markers;    Lymphoma;    B-cell;    Lymphoma;    follicular;    Linfoma não Hodgkin;    Prognóstico;    Resultado de tratamento;    Marcadores biológicos;    Linfoma de células B;    Linfoma folicular;   

DOI  :  10.1590/S1516-84842010000500015

来源: SciELO

【 摘 要 】

Indolent B-cell lymphomas account for approximately 40% of all non-Hodgkin lymphomas (NHLs). Advances in technology have contributed to improvements in the diagnosis and classification of indolent non-Hodgkin lymphomas. Follicular Lymphomas are the most common although the frequency varies significantly throughout the world. The description of the Follicular Lymphoma International Prognostic Index (FLIPI) was an important step in identifying patient subgroups, but its use in the clinical practice has not been established yet. The use of a larger number of paraffin active monoclonal antibodies for immunohistochemistry, molecular cytogenetic studies including standard cytogenetics, multi-color fluorescence in-situ hybridization (FISH), polymerase chain reaction and locus-specific fluorescence insitu hybridization as well as developments in high-resolution techniquesincluding microarray gene expression profiling allow more accurate diagnosis andprecise definition of biomarkers of value in risk stratification. The identification ofdiseasespecific gene lists resulting from expression profiling provides a number ofpotential protein targets that can be validated using immunohistochemistry. Analysesof gene expression profiles or constitutive gene variations may also provide additional insight for prognostication in the near future. A comprehensive understanding of the biology of these distinct lymphoid tumors will allow us to identify novel diseaserelated genes and should facilitate the development of improved diagnosis, outcome prediction, and personalized approaches to treatment.

【 授权许可】

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