Fuzzy Neural Network Applied to Gene Expression Profiling for Predicting the Prognosis of Diffuse Large B‐cell Lymphoma
- 1 November 2002
- journal article
- Published by Wiley in Japanese Journal of Cancer Research
- Vol. 93 (11) , 1207-1212
- https://doi.org/10.1111/j.1349-7006.2002.tb01225.x
Abstract
Diffuse large B‐cell lymphoma (DLBCL) is the largest category of aggressive lymphomas. Less than 50% of patients can be cured by combination chemotherapy. Microarray technologies have recently shown that the response to chemotherapy reflects the molecular heterogeneity in DLBCL. On the basis of published microarray data, we attempted to develop a long‐overdue method for the precise and simple prediction of survival of DLBCL patients. We developed a fuzzy neural network (FNN) model to analyze gene expression profiling data for DLBCL. From data on 5857 genes, this model identified four genes (CD10, AA807551, AA805611 and IRF‐4) that could be used to predict prognosis with 93% accuracy. FNNs are powerful tools for extracting significant biological markers affecting prognosis, and are applicable to various kinds of expression profiling data for any malignancy.Keywords
This publication has 25 references indexed in Scilit:
- De novo CD5+ diffuse large B-cell lymphoma: a clinicopathologic study of 109 patientsBlood, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Prediction of central nervous system embryonal tumour outcome based on gene expressionNature, 2002
- Fuzzy neural network-based prediction of the motif for MHC class II binding peptidesJournal of Bioscience and Bioengineering, 2001
- Non-Hodgkin's lymphoma: Role of high-dose therapy in diffuse large B-cell lymphomaAnnals of Oncology, 2000
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000
- Model Construction for Quality of Beer and Brewing Process using FNN.KAGAKU KOGAKU RONBUNSHU, 1999
- Deregulation of MUM1/IRF4 by chromosomal translocation in multiple myelomaNature Genetics, 1997
- CD10Applied Immunohistochemistry & Molecular Morphology, 1997
- CD10+ cell population in the bone marrow of patients with advanced neuroblastomaMedical and Pediatric Oncology, 1994