Systematic name M104
Brief description Top 50 up-regulated markers distinguishing diffuse large B-cell lymphoma (DLBCL) from follicular lymphoma (FL) samples.
Full description or abstract Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention.
Collection C2: Curated
      CGP: Chemical and Genetic Perturbations
Source publication Pubmed 11786909   Authors: Shipp MA,Ross KN,Tamayo P,Weng AP,Kutok JL,Aguiar RC,Gaasenbeek M,Angelo M,Reich M,Pinkus GS,Ray TS,Koval MA,Last KW,Norton A,Lister TA,Mesirov J,Neuberg DS,Lander ES,Aster JC,Golub TR
Exact source Suppl. Data: section 3; DLBCL versus FL Distinction; Distinction = DLBCL
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Version history 3.0: Renamed from SHIPP_FL_VS_DLBCL_UP

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