Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2002 Nov;93(11):1207-12.
doi: 10.1111/j.1349-7006.2002.tb01225.x.

Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell lymphoma

Tatsuya Ando  1 , Miyuki Suguro, Taizo Hanai, Takeshi Kobayashi, Hiroyuki Honda, Masao Seto
Affiliations

Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell lymphoma

Tatsuya Ando et al. Jpn J Cancer Res. 2002 Nov.

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.

PubMed Disclaimer

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. ) Gatter , K. C. and Warnke , R. A.Diffuse large B‐cell lymphoma . In “ Pathology and Genetics of Tumors of Haematopoietic and Lymphoid Tisseus ,” ed. Jaffe E. S. , Harris N. L. , Stein H. and Vardimam J. M. , pp. 171 – 174 ( 2001. ). IARC Press; , Lyon , France .
    1. ) Engelhard , M. , Brittinger , G. , Huhn , D. , Gerhartz , H. H. , Meusers , P. , Siegert , W. , Thiel , E. , Wilmanns , W. , Aydemir , U. , Bierwolf , S. , Griesser , H. , Tiemann , M. and Lennert , K.Subclassification of diffuse large B‐cell lymphomas according to the Kiel classification: distinction of centroblastic and immunoblastic lymphomas is a significant prognostic risk factor . Blood , 89 , 2291 – 2297 ( 1997. ). - PubMed
    1. ) Wilson , W. H. , Teruya‐Feldstein , J. , Fest , T. , Harris , C. , Steinberg , S. M. , Jaffe , E. S. and Raffeld , M.Relationship of p53, bcl‐2, and tumor proliferation to clinical drug resistance in non‐Hodgkin's lymphomas . Blood , 89 , 601 – 609 ( 1997. ). - PubMed
    1. ) Armitage , J. O. and Weisenburger , D. D.New approach to classifying non‐Hodgkin's lymphomas: clinical features of the major histologic subtypes. Non‐Hodgkin's Lymphoma Classification Project . J. Clin. Oncol. , 16 , 2780 – 2795 ( 1998. ). - PubMed
    1. ) Yamaguchi , M. , Seto , M. , Okamoto , M. , Ichinohasama , R. , Nakamura , N. , Yoshino , T. , Suzumiya , J. , Murase , T. , Miura , I. , Akasaka , T. , Tamaru , J. , Suzuki , R. , Kagami , Y. , Hirano , M. , Morishima , Y. , Ueda , R. , Shiku , H. and Nakamura , S.De novo CD5+ diffuse large B‐cell lymphoma: a clinicopathologic study of 109 patients . Blood , 99 , 815 – 821 ( 2002. ). - PubMed

Publication types

LinkOut - more resources