Literature DB >> 23164350

[Bioinformatic screening of key genes controlling the development and progression of lung cancer].

Junlong Wang1, Junjie Shi, Wenzhou Liu, Yu Sun, Huafu Zhou.   

Abstract

BACKGROUND AND
OBJECTIVE: Lung cancer is the most common cancer in the world. The gene expression profiling of lung cancer has been extensively investigated. However, only a few studies have identified the possible pathways and significant genes related to lung cancer. The aim of this study is to explore the large number of lung cancer-related microarray datasets and identify the crucial genes that can benefit the understanding of the progression and development of this disease.
METHODS: To identify the genes that effected lung cancer at the mRNA level, gene set enrichment analysis was used to analyze six selected gene expression datasets.
RESULTS: Among the six gene expression datasets, 3 up-regulated and 26 down-regulated pathways were found by gene set enrichment analysis. We found 11 significant genes with P < 0.05 from the results of tight junction meta-analysis of the six data sets.
CONCLUSIONS: The tight junction pathway plays an important role in the study of the occurrence and development of lung cancer. Significant genes within the pathways will be further discussed in future studies.

Entities:  

Mesh:

Year:  2012        PMID: 23164350      PMCID: PMC6000034          DOI: 10.3779/j.issn.1009-3419.2012.11.07

Source DB:  PubMed          Journal:  Zhongguo Fei Ai Za Zhi        ISSN: 1009-3419


  10 in total

1.  Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer.

Authors:  Daniel R Rhodes; Terrence R Barrette; Mark A Rubin; Debashis Ghosh; Arul M Chinnaiyan
Journal:  Cancer Res       Date:  2002-08-01       Impact factor: 12.701

Review 2.  The tight junction: a multifunctional complex.

Authors:  Eveline E Schneeberger; Robert D Lynch
Journal:  Am J Physiol Cell Physiol       Date:  2004-06       Impact factor: 4.249

3.  Gene expression profiling reveals novel biomarkers in nonsmall cell lung cancer.

Authors:  Abel Sanchez-Palencia; Mercedes Gomez-Morales; Jose Antonio Gomez-Capilla; Vicente Pedraza; Laura Boyero; Rafael Rosell; M Esther Fárez-Vidal
Journal:  Int J Cancer       Date:  2010-11-28       Impact factor: 7.396

4.  Identification of a novel biomarker, SEMA5A, for non-small cell lung carcinoma in nonsmoking women.

Authors:  Tzu-Pin Lu; Mong-Hsun Tsai; Jang-Ming Lee; Chung-Ping Hsu; Pei-Chun Chen; Chung-Wu Lin; Jin-Yuan Shih; Pan-Chyr Yang; Chuhsing Kate Hsiao; Liang-Chuan Lai; Eric Y Chuang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-08-27       Impact factor: 4.254

5.  [Clinicopathological Research and Expression of PTEN/PI3K/Akt Signaling Pathway in Non-small Cell Lung Cancer.].

Authors:  Hong Shu; Honglan Zhang; Can Xu; Xiaodong Zhao
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2009-08-20

6.  PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

Authors:  Vamsi K Mootha; Cecilia M Lindgren; Karl-Fredrik Eriksson; Aravind Subramanian; Smita Sihag; Joseph Lehar; Pere Puigserver; Emma Carlsson; Martin Ridderstråle; Esa Laurila; Nicholas Houstis; Mark J Daly; Nick Patterson; Jill P Mesirov; Todd R Golub; Pablo Tamayo; Bruce Spiegelman; Eric S Lander; Joel N Hirschhorn; David Altshuler; Leif C Groop
Journal:  Nat Genet       Date:  2003-07       Impact factor: 38.330

7.  Meta-analysis of multiple microarray datasets reveals a common gene signature of metastasis in solid tumors.

Authors:  Marla H Daves; Susan G Hilsenbeck; Ching C Lau; Tsz-Kwong Man
Journal:  BMC Med Genomics       Date:  2011-07-07       Impact factor: 3.063

8.  Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.

Authors:  Shinichiro Wachi; Ken Yoneda; Reen Wu
Journal:  Bioinformatics       Date:  2005-09-27       Impact factor: 6.937

9.  A cross-study gene set enrichment analysis identifies critical pathways in endometriosis.

Authors:  Hongbo Zhao; Qishan Wang; Chunyan Bai; Kan He; Yuchun Pan
Journal:  Reprod Biol Endocrinol       Date:  2009-09-08       Impact factor: 5.211

10.  A general modular framework for gene set enrichment analysis.

Authors:  Marit Ackermann; Korbinian Strimmer
Journal:  BMC Bioinformatics       Date:  2009-02-03       Impact factor: 3.169

  10 in total

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