Experiment Detail Page

GENERAL EXPERIMENT INFORMATION

Title:	Diffuse large B-cell lymphoma outcome prediction
Identifier:	gov.nih.nci.ncicb.caarray:Experiment:1015897558868337:1
Experiment Date:	1/1/01
Experiment Design Type	clinical_history_design, disease_state_design,
Visibility	Public
Description/Goal of the experiment:	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.

CONTACTS

Principal Investigator:	Todd Golub
Contact Person:	Margaret A Shipp

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ADDITIONAL DATA PROCESSING (DERIVED MEASUREMENTS)

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Shipp_sample.txt

Sample information

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lymphoma_clinical_011127.txt

Clinical information

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315rpt.zip

Expression report file

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4

315txt.zip

data files, txt format

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EXPERIMENTAL FACTORS/VARIABLES

Factor

Factor Type

Scale

Factor Value

Lymphoma State

disease_state

unscaled

Diffuse large B-cell Lymphoma

Follicular Lymphoma

PUBLICATIONS

PubMed ID

Title

Authors

Publication

11786909

Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning.

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, Golu

Nature Medicine

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Experiment: Diffuse large B-cell lymphoma outcome prediction