Literature DB >> 18366303

Gene expression profiling of non-small-cell lung cancer.

Ludovic Lacroix1, Frédéric Commo, Jean-Charles Soria.   

Abstract

Lung cancer is the leading cause of cancer worldwide. Despite recent advances in the management of resected lung cancer tumors (i.e., the use of adjuvant therapy) and more effective treatments in the metastatic setting (i.e., molecular targeted agents), the cure rate of lung cancer remains low. Successful molecular testing of lung cancer requires the identification and understanding of events that take place during the multistep tumorigenic process of lung cancer. As with other solid tumors, lung cancer is the result of the accumulation of genetic and epigenetic alterations over a long course of exposure to a carcinogen, such as tobacco smoke. Discovering new prognostic or predictive biomarkers or developing new detection tools for lung cancer is one of the major areas of translational cancer research. However, given our current understanding of the multifactorial process of lung carcinogenesis and the heterogeneous nature of the disease, monitoring of one or a few genes is limited. A pangenomic analysis seems more efficient for deciphering the complexity of lung cancer. The prospect of identifying specific events in lung carcinogenesis is significantly brightened by the recent development of high-throughput gene expression analysis. Since 2000, several studies have reported on the molecular classification of human lung carcinomas on the basis of gene expression and have described numerous putative biological markers of cancer. At this time, improving the biological significance of microarray data appears to be an important challenge. The most recent studies propose refining molecular classification of non-small-cell lung cancer on the basis of mRNA expression profiles. Other studies described new prognostic biomarkers that will be useful for the therapeutic management of patient's bearing lung cancer (non-small-cell lung cancer). The present review summarizes the main recent advances associated with gene expression analysis in the field of lung cancer and, notably, non-small-cell lung tumors.

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Year:  2008        PMID: 18366303     DOI: 10.1586/14737159.8.2.167

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  16 in total

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2.  Smoking-Related Gene Expression in Laser Capture-Microdissected Human Lung.

Authors:  Xiang-Lin Tan; Tao Wang; Shengli Xiong; Shalini V Kumar; Weiguo Han; Simon D Spivack
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3.  Incorporating network structure in integrative analysis of cancer prognosis data.

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Journal:  Genet Epidemiol       Date:  2012-11-17       Impact factor: 2.135

4.  Microarray analysis of cutaneous squamous cell carcinomas reveals enhanced expression of epidermal differentiation complex genes.

Authors:  Laurie G Hudson; James M Gale; R Steven Padilla; Gavin Pickett; Bryan E Alexander; Jing Wang; Donna F Kusewitt
Journal:  Mol Carcinog       Date:  2010-07       Impact factor: 4.784

5.  AURKA mRNA expression is an independent predictor of poor prognosis in patients with non-small cell lung cancer.

Authors:  Ahmed S K Al-Khafaji; Michael W Marcus; Michael P A Davies; Janet M Risk; Richard J Shaw; John K Field; Triantafillos Liloglou
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Review 6.  Integrating contextual miRNA and protein signatures for diagnostic and treatment decisions in cancer.

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Journal:  Expert Rev Mol Diagn       Date:  2011-11       Impact factor: 5.225

7.  Epithelial-mesenchymal transition-associated secretory phenotype predicts survival in lung cancer patients.

Authors:  Ajaya Kumar Reka; Guoan Chen; Richard C Jones; Ravi Amunugama; Sinae Kim; Alla Karnovsky; Theodore J Standiford; David G Beer; Gilbert S Omenn; Venkateshwar G Keshamouni
Journal:  Carcinogenesis       Date:  2014-02-07       Impact factor: 4.944

8.  In vitro and in vivo antitumor activity of a novel pH-activated polymeric drug delivery system for doxorubicin.

Authors:  Menglei Huan; Bangle Zhang; Zenghui Teng; Han Cui; Jieping Wang; Xinyou Liu; Hui Xia; Siyuan Zhou; Qibing Mei
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9.  Impact of collection and storage of lung tumor tissue on whole genome expression profiling.

Authors:  Maxim B Freidin; Neesa Bhudia; Eric Lim; Andrew G Nicholson; William O Cookson; Miriam F Moffatt
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10.  Gene expression profile of peripheral blood lymphocytes from renal cell carcinoma patients treated with IL-2, interferon-α and dendritic cell vaccine.

Authors:  Benita Wolf; Adrian Schwarzer; Anik L Côté; Thomas H Hampton; Thomas Schwaab; Eduardo Huarte; Craig R Tomlinson; Jiang Gui; Jan L Fisher; Camilo E Fadul; Joshua W Hamilton; Marc S Ernstoff
Journal:  PLoS One       Date:  2012-12-03       Impact factor: 3.240

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