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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessArticle

The Robustness of Pathway Analysis in Identifying Potential Drug Targets in Non-Small Cell Lung Carcinoma

Faculty of Science and Technology, University of Westminster, Westminster W1W 6UW, UK
Author to whom correspondence should be addressed.
Microarrays 2014, 3(4), 212-225;
Received: 21 July 2014 / Revised: 4 October 2014 / Accepted: 13 October 2014 / Published: 27 October 2014
(This article belongs to the Special Issue Expression Analyses for Biological Pathway Modeling in Drug Discovery)
PDF [513 KB, uploaded 27 October 2014]


The identification of genes responsible for causing cancers from gene expression data has had varied success. Often the genes identified depend on the methods used for detecting expression patterns, or on the ways that the data had been normalized and filtered. The use of gene set enrichment analysis is one way to introduce biological information in order to improve the detection of differentially expressed genes and pathways. In this paper we show that the use of network models while still subject to the problems of normalization is a more robust method for detecting pathways that are differentially overrepresented in lung cancer data. Such differences may provide opportunities for novel therapeutics. In addition, we present evidence that non-small cell lung carcinoma is not a series of homogeneous diseases; rather that there is a heterogeny within the genotype which defies phenotype classification. This diversity helps to explain the lack of progress in developing therapies against non-small cell carcinoma and suggests that drug development may consider multiple pathways as treatment targets. View Full-Text
Keywords: NSCLC; pathway analysis; Reactome; robustness; squamous; adenocarcinoma NSCLC; pathway analysis; Reactome; robustness; squamous; adenocarcinoma

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Dalby, A.; Bailey, I. The Robustness of Pathway Analysis in Identifying Potential Drug Targets in Non-Small Cell Lung Carcinoma. Microarrays 2014, 3, 212-225.

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