• National Cancer Institute
  • National Human Genome Research Institute


All data generated by The Cancer Genome Atlas (TCGA) Research Network are made open to the public through the Data Coordinating Center and the TCGA Data Portal. The following is a growing list of publications from the TCGA Research Network (designated with an *) and from other investigators who have successfully leveraged the TCGA data for their own work.

    Yuan, Y., Van Allen, E.M., Omberg, L., Wagle, N., Amin-Mansour, A., Sokolov, A., Byers, L.A., Xu, Y., Hess, K.R., Diao, L., et al. (2014) Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nat Biotechnol. doi: 10.1038/nbt.2940. View PubMed abstract.
    Taherian-Fard, A., Srihari, S., and Ragan, M.A. (2014) Breast cancer classification: linking molecular mechanisms to disease prognosis. Brief Bioinform. doi: 10.1093/bib/bbu020. View PubMed abstract.
    Kim, Y.M., Lee, S.W., Chun, S.M., Kim, D.Y., Kim, J.H., Kim, K.R., Kim, Y.T., Nam, J.H., van Hummelen, P., MacConaill, L.E., et al. (2014) Analysis and comparison of somatic mutations in paired primary and recurrent epithelial ovarian cancer samples. PLoS One. 9(6):e99451. Read the full article.
    Vogelsang, M., Paccez, J.D., Schäfer, G., Dzobo, K., Zerbini, L.F., and Parker, M.I. (2014) Aberrant methylation of the MSH3 promoter and distal enhancer in esophageal cancer patients exposed to first-hand tobacco smoke. J Cancer Res Clin Oncol. doi: 10.1007/s00432-014-1736-x. View PubMed abstract.
    Brouwer-Visser, J., Lee, J., McCullagh, K., Cossio, M.J., Wang, Y., and Huang, G.S. (2014) Insulin-like growth factor 2 silencing restores taxol sensitivity in drug resistant ovarian cancer. PLoS One. 9(6):e100165. Read the full article.
    Wu, H.T., Hajirasouliha, I., and Raphael, B.J. (2014) Detecting independent and recurrent copy number aberrations using interval graphs. Bioinformatics. 30(12):i195-i203. Read the full article.
    Eng, K.H., and Hanlon, B.M. (2014) Discrete mixture modeling to address genetic heterogeneity in time-to-event regression. Bioinformatics. 30(12):1690-1697. Read the full article.
    List, M., Hauschild, A.C., Tan, Q., Kruse, T.A., Mollenhauer, J., Baumbach, J., and Batra, R. (2014) Classification of breast cancer subtypes by combining gene expression and DNA methylation data. J Integr Bioinform. 11(2):236. Read the full article.
    Wang, Z., Curry, E., and Montana, G. (2014) Network-guided regression for detecting associations between DNA methylation and gene expression. Bioinformatics. doi: 10.1093/bioinformatics/btu361. View PubMed abstract.
    Iglesia, M.D., Vincent, B.G., Parker, J.S., Hoadley, K.A., Carey, L.A., Perou, C.M., and Serody, J.S. (2014) Prognostic B-cell signatures using mRNA-seq in patients with subtype-specific breast and ovarian cancer. Clin Cancer Res. doi: 10.1158/1078-0432.CCR-13-3368. Read the full article.
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