Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach

Artificial Intelligence in Medicine
Lee J LancashireGraham R Ball

Abstract

The advent of microarrays has attracted considerable interest from biologists due to the potential for high throughput analysis of hundreds of thousands of gene transcripts. Subsequent analysis of the data may identify specific features which correspond to characteristics of interest within the population, for example, analysis of gene expression profiles in cancer patients to identify molecular signatures corresponding with prognostic outcome. These high throughput technologies have resulted in an unprecedented rate of data generation, often of high complexity, highlighting the need for novel data analysis methodologies that will cope with data of this nature. Stepwise methods using artificial neural networks (ANNs) have been developed to identify an optimal subset of predictive gene transcripts from highly dimensional microarray data. Here these methods have been applied to a gene microarray dataset to identify and validate gene signatures corresponding with estrogen receptor and lymph node status in breast cancer. Many gene transcripts were identified whose expression could differentiate patients to very high accuracies based upon firstly whether they were positive or negative for estrogen receptor, and secondly whether meta...Continue Reading

References

Jan 1, 1978·Journal of Clinical Microbiology·R F D'AmatoE Singerman
Nov 1, 1992·British Journal of Cancer·T StarzynskaP L Stern
Mar 1, 1988·British Journal of Cancer·N Hole, P L Stern
Mar 1, 1996·Current Biology : CB·P M Watt, I D Hickson
Dec 20, 1996·International Journal of Cancer. Journal International Du Cancer·H KanekoN Kondo
Oct 8, 1999·Journal of Clinical Epidemiology·E W SteyerbergJ D Habbema
May 9, 2000·Nature·J R Masters, S R Lakhani
Sep 20, 2001·Proceedings of the National Academy of Sciences of the United States of America·M WestJ R Nevins
Nov 15, 2001·Proceedings of the National Academy of Sciences of the United States of America·A BhattacharjeeM Meyerson
Feb 2, 2002·Nature·Laura J van 't VeerStephen H Friend
May 11, 2002·Laboratory Investigation; a Journal of Technical Methods and Pathology·Kati PorkkaTapio Visakorpi
Jun 21, 2002·The New England Journal of Medicine·Andreas RosenwaldUNKNOWN Lymphoma/Leukemia Molecular Profiling Project
Jul 16, 2002·Nature Medicine·David G BeerSamir Hanash
May 16, 2003·Lancet·Erich HuangAndrew T Huang
Feb 5, 2004·British Journal of Cancer·T R AdibC Boshoff
Feb 12, 2005·Lancet·John P A Ioannidis
Apr 26, 2005·Computer Methods and Programs in Biomedicine·Abdulhamit Subasi, Ergun Erçelebi
Jul 30, 2005·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Shahid MianDirk Schadendorf
Sep 8, 2005·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Richard Simon
Apr 25, 2006·Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·Miguel Martín
Jun 7, 2006·British Journal of Cancer·M García-ClosasM E Sherman
Dec 15, 2006·Proceedings of the National Academy of Sciences of the United States of America·Robert J PelhamDavid Botstein
Feb 6, 2007·Bioinformatics·Monica NicolauStefanie S Jeffrey

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Citations

Aug 1, 2014·Theoretical Biology & Medical Modelling·Rafael Marcos Luque-BaenaJose M Jerez
Feb 5, 2009·Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer·Jeffrey A BorgiaMichael J Liptay
Dec 8, 2010·Proteomics. Clinical Applications·Baharak Vafadar-IsfahaniBalwir Matharoo-Ball
Jun 16, 2010·International Journal of Cancer. Journal International Du Cancer·Lee J LancashireAndrew G Renehan
Dec 7, 2010·Journal of Biomedical Informatics·Bin HanQi Dai
Jan 1, 2013·Computational and Structural Biotechnology Journal·Liana E KafetzopoulouGraham R Ball
Nov 5, 2013·Computer Methods and Programs in Biomedicine·Bin HanShen Wang
May 6, 2016·Expert Opinion on Drug Discovery·Dimitar Dobchev, Mati Karelson
Jan 1, 2015·Microarrays·Clare CoveneyGraham R Ball
Aug 2, 2014·Asian Pacific Journal of Cancer Prevention : APJCP·Javad FaradmalAmir Kasaeian

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