Evaluation of multiple models to distinguish closely related forms of disease using DNA microarray data: an application to multiple myeloma

Statistical Applications in Genetics and Molecular Biology
Johanna HardinJohn Crowley

Abstract

Standard laboratory classification of the plasma cell dyscrasia monoclonal gammopathy of undetermined significance (MGUS) and the overt plasma cell neoplasm multiple myeloma (MM) is quite accurate, yet, for the most part, biologically uninformative. Most, if not all, cancers are caused by inherited or acquired genetic mutations that manifest themselves in altered gene expression patterns in the clonally related cancer cells. Microarray technology allows for qualitative and quantitative measurements of the expression levels of thousands of genes simultaneously, and it has now been used both to classify cancers that are morphologically indistinguishable and to predict response to therapy. It is anticipated that this information can also be used to develop molecular diagnostic models and to provide insight into mechanisms of disease progression, e.g., transition from healthy to benign hyperplasia or conversion of a benign hyperplasia to overt malignancy. However, standard data analysis techniques are not trivial to employ on these large data sets. Methodology designed to handle large data sets (or modified to do so) is needed to access the vital information contained in the genetic samples, which in turn can be used to develop mor...Continue Reading

Citations

Sep 24, 2015·Proceedings of the National Academy of Sciences of the United States of America·Michael P SchwartzJames A Thomson
Nov 13, 2007·Hematology/oncology Clinics of North America·Giovanni Tonon
Nov 21, 2007·British Journal of Haematology·Ola Landgren, Robert A Kyle
Jul 29, 2009·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Ariel AnguianoAnil Potti
Oct 29, 2005·BMC Genomics·Vigdis NygaardEivind Hovig
May 21, 2016·Redox Report : Communications in Free Radical Research·Tekin GuneyOzcan Erel

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