Literature DB >> 18486272

Global gene expression analysis reveals specific patterns of cell junctions in non-small cell lung cancer subtypes.

Ruprecht Kuner1, Thomas Muley, Michael Meister, Markus Ruschhaupt, Andreas Buness, Elizabeth C Xu, Phillipp Schnabel, Arne Warth, Annemarie Poustka, Holger Sültmann, Hans Hoffmann.   

Abstract

Non-small cell lung cancer (NSCLC) can be classified into the major subtypes adenocarcinoma (AC) and squamous cell carcinoma (SCC). Although explicit molecular, histological and clinical characteristics have been reported for both subtypes, no specific therapy exists so far. However, the characterization of suitable molecular targets holds great promises to develop novel therapies in NSCLC. In the present study, global gene expression profiling of 58 human NSCLC specimens revealed large transcriptomic differences between AC and SCC subtypes: more than 1700 genes were found to be differentially expressed. The assignment of these genes to biological processes pointed to the deregulation of distinct sets of genes coding for cell junctions in both tumor subtypes. We focused on 17 cell adhesion genes and 11 reported marker genes for epithelial-mesenchymal transition (EMT), and investigated their expression in matched tumor-normal specimens by quantitative real-time PCR. The majority of the cell adhesion genes was significantly up-regulated in at least one tumor subtype compared to normal tissue, predominantly desmosomes and gap junctions in SCC, and tight junctions in AC. The higher expression of EMT marker transcripts in tumor specimens suggested a large potential for invasion and migration processes in NSCLC. Our results indicate that AC and SCC in the lung are characterized by the expression of distinct sets of cell adhesion molecules which may represent promising targets for novel specific therapies.

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Year:  2008        PMID: 18486272     DOI: 10.1016/j.lungcan.2008.03.033

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  94 in total

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2.  Combination of PD-L1 and PVR determines sensitivity to PD-1 blockade.

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Review 3.  Genomics of lung cancer.

Authors:  Alain C Borczuk; Rebecca L Toonkel; Charles A Powell
Journal:  Proc Am Thorac Soc       Date:  2009-04-15

4.  An Expression Signature as an Aid to the Histologic Classification of Non-Small Cell Lung Cancer.

Authors:  Luc Girard; Jaime Rodriguez-Canales; Carmen Behrens; Debrah M Thompson; Ihab W Botros; Hao Tang; Yang Xie; Natasha Rekhtman; William D Travis; Ignacio I Wistuba; John D Minna; Adi F Gazdar
Journal:  Clin Cancer Res       Date:  2016-06-28       Impact factor: 12.531

5.  A novel long noncoding RNA LINC01133 is upregulated in lung squamous cell cancer and predicts survival.

Authors:  Jing Zhang; Ning Zhu; Xiaodong Chen
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6.  XRN2 promotes EMT and metastasis through regulating maturation of miR-10a.

Authors:  H Zhang; Y Lu; E Chen; X Li; B Lv; H G Vikis; P Liu
Journal:  Oncogene       Date:  2017-03-20       Impact factor: 9.867

7.  Blocking lactate export by inhibiting the Myc target MCT1 Disables glycolysis and glutathione synthesis.

Authors:  Joanne R Doherty; Chunying Yang; Kristen E N Scott; Michael D Cameron; Mohammad Fallahi; Weimin Li; Mark A Hall; Antonio L Amelio; Jitendra K Mishra; Fangzheng Li; Mariola Tortosa; Heide Marika Genau; Robert J Rounbehler; Yunqi Lu; Chi V Dang; K Ganesh Kumar; Andrew A Butler; Thomas D Bannister; Andrea T Hooper; Keziban Unsal-Kacmaz; William R Roush; John L Cleveland
Journal:  Cancer Res       Date:  2013-11-27       Impact factor: 12.701

8.  Comparison of lung cancer cell lines representing four histopathological subtypes with gene expression profiling using quantitative real-time PCR.

Authors:  Takashi Watanabe; Tomohiro Miura; Yusuke Degawa; Yuna Fujita; Masaaki Inoue; Makoto Kawaguchi; Chie Furihata
Journal:  Cancer Cell Int       Date:  2010-01-21       Impact factor: 5.722

Review 9.  Spread through air spaces (STAS): a comprehensive update.

Authors:  Arne Warth
Journal:  Transl Lung Cancer Res       Date:  2017-10

10.  Transcriptional network classifiers.

Authors:  Hsun-Hsien Chang; Marco F Ramoni
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

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