Literature DB >> 16721055

From description to causality: mechanisms of gene expression signatures in cancer.

Adam S Adler1, Howard Y Chang.   

Abstract

Global gene expression profiles of thousands of cancer samples have been completed, giving rise to hundreds of gene expression signatures (GES). Although many expression signatures show promise in predicting patient prognosis or response to therapies, the usefulness of the signatures in understanding the underlying mechanisms of cancer has not been fully exploited. While "reverse genomic" methods can test specific hypotheses of gene regulation, they fare less well in deciphering novel or combinatorial mechanisms of gene regulation. Recently we described SLAMS (stepwise linkage analysis of microarray signatures), a novel method that can prospectively identify genetic regulators of gene expression signatures in cancer. Applying SLAMS on a poor-prognosis wound signature in human breast cancer, we identified CSN5-mediated ubiquitination of MYC as a novel mechanism to activate a biological program favoring metastasis.

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Year:  2006        PMID: 16721055     DOI: 10.4161/cc.5.11.2798

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  9 in total

1.  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

2.  Mechanisms of disease: epithelial-mesenchymal transition--does cellular plasticity fuel neoplastic progression?

Authors:  Eva A Turley; Mandana Veiseh; Derek C Radisky; Mina J Bissell
Journal:  Nat Clin Pract Oncol       Date:  2008-03-18

3.  RCP is a human breast cancer-promoting gene with Ras-activating function.

Authors:  Jinqiu Zhang; Xuejing Liu; Arpita Datta; Kunde Govindarajan; Wai Leong Tam; Jianyong Han; Joshy George; Christopher Wong; Kalpana Ramnarayanan; Tze Yoong Phua; Wan Yee Leong; Yang Sun Chan; Nallasivam Palanisamy; Edison Tak-Bun Liu; Krishna Murthy Karuturi; Bing Lim; Lance David Miller
Journal:  J Clin Invest       Date:  2009-07-20       Impact factor: 14.808

4.  MYC amplification in breast cancer: a chromogenic in situ hybridisation study.

Authors:  S Maria Rodriguez-Pinilla; Robin L Jones; Maryou B K Lambros; Edurne Arriola; Kay Savage; Michelle James; Sarah E Pinder; Jorge S Reis-Filho
Journal:  J Clin Pathol       Date:  2006-12-08       Impact factor: 3.411

5.  Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types.

Authors:  Yang Yang; Leng Han; Yuan Yuan; Jun Li; Nainan Hei; Han Liang
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

6.  A novel risk score system for assessment of ovarian cancer based on co-expression network analysis and expression level of five lncRNAs.

Authors:  Qian Zhao; Conghong Fan
Journal:  BMC Med Genet       Date:  2019-06-10       Impact factor: 2.103

Review 7.  Systems biology and cancer stem cells.

Authors:  Nathan D Price; Greg Foltz; Anup Madan; Leroy Hood; Qiang Tian
Journal:  J Cell Mol Med       Date:  2007-11-20       Impact factor: 5.310

8.  Deregulation of keratinocyte differentiation and activation: a hallmark of venous ulcers.

Authors:  Olivera Stojadinovic; Irena Pastar; Sasa Vukelic; My G Mahoney; Donna Brennan; Agata Krzyzanowska; Michael Golinko; Harold Brem; Marjana Tomic-Canic
Journal:  J Cell Mol Med       Date:  2008-03-28       Impact factor: 5.310

9.  Hub Gene and Its Key Effects on Diffuse Large B-Cell Lymphoma by Weighted Gene Coexpression Network Analysis.

Authors:  Chao Ma; Haoyu Li
Journal:  Biomed Res Int       Date:  2021-11-27       Impact factor: 3.411

  9 in total

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