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Prognostication of diffuse large B-cell lymphoma in the rituximab era
被引:25
|作者:
Ninan, Mary J.
Wadhwa, Punit D.
Gupta, Pankaj
机构:
[1] Univ Minnesota, Dept Med, Div Hematol Oncol & Transplantat, Minneapolis, MN 55455 USA
[2] VA Med Ctr, Hematol Oncol Sect, Minneapolis, MN 55417 USA
关键词:
NON-HODGKINS-LYMPHOMA;
SOUTHWEST-ONCOLOGY-GROUP;
CHEMOTHERAPY PLUS RITUXIMAB;
RANDOMIZED CONTROLLED-TRIAL;
BCL-2 PROTEIN EXPRESSION;
R-CHOP;
ELDERLY-PATIENTS;
CLINICOPATHOLOGICAL ANALYSIS;
STAGING CLASSIFICATION;
KIEL CLASSIFICATION;
D O I:
10.3109/10428194.2010.543716
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Predicting the prognosis of patients diagnosed with diffuse large B-cell lymphoma (DLBCL) has been a moving target over the last several years. While earlier prognostic models relied mainly on such clinical variables as age, stage of disease, and performance status, it has become evident from gene-expression microarray studies that DLBCL is a heterogeneous disease in terms of molecular pathogenesis and cell of origin. Despite providing considerable insight into disease biology, these techniques are not widely available and are, at least at present, not applicable to routine clinical practice. Furthermore, older prognostic models need to be revalidated and modified as improved therapeutic options become available. In this review, we discuss pertinent studies on individual biomarkers and pattern-based biomarker models, with an emphasis on markers evaluated in patients treated with rituximab-containing chemotherapy. We also discuss recent and ongoing therapeutic trials using drugs that target molecular markers and pathways involved in the pathogenesis of DLBCL or those that adversely influence prognosis. The ultimate goal of these efforts is to refine prognostication of DLBCL using widely available, reproducible, and consistently predictive biomarker models applicable to currently used chemoimmunotherapy, and to create a pathophysiologically based framework for the rational design of individually tailored therapy.</.
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页码:360 / 373
页数:14
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