Cancer
Please click on the cancer references below to read the entire article. Check back occasionally as new cancer articles will be posted.2008
- Cell type-specific DNA methylation patterns n the human breast
( PNAS vol. 105 no. 37 )
- An Integrated Genomic Analysis of Human Glioblastoma Multiforme
( Sciencexpress 10.1126 science.1164382 )
- Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses
( Sciencexpress 10.1126 science.1164368 )
- Identification and functional analysis of SKA2 interaction with the glucocorticoid receptor
( Journal of Endocrinology (2008) 198, 499–509 )
- BMI-1 Promotes Ewing Sarcoma Tumorigenicity Independent of CDKN2A Repression
( Cancer Res 2008; 68: (16) )
- Systems biology approach to identification of biomarkers for metastatic progression in cancer
( BMC Bioinformatics 2008, 9(Suppl 9):S8 )
- Variable DNA methylation patterns associated with progression of disease in hepatocellular carcinomas
( Carcinogenesis vol.29 no.10 pp.1901–1910, 2008 )
2007
- The Genomic Landscapes of Human Breast and Colorectal Cancers
( Science 318, 1108 (2007) )
- Seeding drug discovery: integrating telomerase cancer biology and cellular senescence to uncover new therapeutic opportunities in targeting cancer stem cells
( Drug Discovery Today, Volume 12, Numbers 15/16, August 2007 )
- Transcriptional network governing the angiogenic switch in human pancreatic cancer
( PNAS, July 31, 2007, vol. 104, no. 31 )
- Functional Network Analysis of the Transcriptomes of Mesenchymal Stem Cells Derived from Amniotic Fluid, Amniotic Membrane, Cord Blood, and Bone Marrow
( Stem Cells 2007;25;2511-2523 )
- Quantitative proteomic analysis reveals that proteins differentially expressed in chronic pancreatitis are also frequently involved in pancreatic cancer
( Mol Cell Proteomics 12 May 2007 )
- Molecular Definition of Breast Tumor Heterogeneity
( Cancer Cell 11, 259-273, March 2007 )
2006
- Pathway Analyses of Chondrosarcoma
( Pathway Analysis for Target and Compound Evaluation San Francisco, CA )
- Data Mining for Gene Networks Relevant to Poor Prognosis in Lung Cancer Via Backward-Chaining Rule Induction
( Cancer Informatics. Libertas Academica )
Mary E. Edgerton, a pathologist performing cancer research at MD Anderson and a long-term client, says “I have been using Metacore for many years in my research into pathways and networks that control aggressive behavior in cancers. I am currently using it to infer networks from analysis of gene expression array data for pathways in lung, brain, and breast cancer. I also use the curated pathways to formulate mathematical models of molecular networks that predict tumor behavior using multiscale modeling. Not only do I find the product to be very useful, but I also appreciate the responsiveness of the staff at Genego to my technical questions and suggestions.”