• 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.

    Bavarva, J.H., Tae, H., McIver, L., and Garner, H.R. (2014) Nicotine and oxidative stress induced exomic variations are concordant and overrepresented in cancer-associated genes. Oncotarget. 5(2014):n. pag. Web. Read the full article.
    Grieb, B.C., Chen, X., and Eischen, C.M. (2014) MTBP is over-expressed in triple negative breast cancer and contributes to its growth and survival. Mol Cancer Res. doi:10.1158/1541-7786.MCR-14-0069 . View PubMed abstract.
    Chen, L., Voronovich, Z., Clark, K., Hands, I., Mannas, J., Walsh, M., Nikiforova, M.N., Durbin, E.B., Weiss, H., and Horbinski, C. (2014) Predicting the likelihood of an isocitrate dehydrogenase 1 or 2 mutation in diagnoses of infiltrative glioma. Neuro Oncol. doi: 10.1093/neuonc/nou097. View PubMed abstract.
    Sizemore, S.T., Sizemore, G.M., Booth, C.N., Thompson, C.L., Silverman, P., Bebek, G., Abdul-Karim, F.W., Avril, S., and Keri, R.A. (2014) Hypomethylation of the MMP7 promoter and increased expression of MMP7 distinguishes the basal-like breast cancer subtype from other triple-negative tumors. Breast Cancer Res Treat. doi: 10.1007/s10549-014-2989-4. View PubMed abstract.
    Diolaiti, D., McFerrin, L., Carroll, P., and Eisenman, R.N. (2014) Functional interactions among members of the MAX and MLX transcriptional network during oncogenesis. Biochim Biophys Acta. doi: 10.1016/j.bbagrm.2014.05.016. View PubMed abstract.
    Ludwig, G., Nejman, D., Hecht, M., Orlanski, S., Abu-Remaileh, M., Yanuka, O., Sandler, O., Marx, A., Roberts, D., Benvenisty, N., et al. (2014) Aberrant DNA methylation in ES cells. PLoS One. 9(5):e96090. Read the full article.
    Gonzalez Bosquet, J., Marchion, D.C., Chon, H., Lancaster, J.M., and Chanock, S. (2014) Analysis of chemotherapeutic response in ovarian cancers using publically available high-throughput data. Cancer Res. doi: 10.1158/0008-5472.CAN-14-0186. View PubMed abstract.
    Kim, S.Y., Jacob, L., and Speed, T.P. (2014) Combining calls from multiple somatic mutation-callers. BMC Bioinformatics. 15(1):154. Read the full article.
    Huang, J.T., Wang, J., Srivastava, V., Sen, S., and Liu, S.M. (2014) MicroRNA machinery genes as novel biomarkers for cancer. Front Oncol. 4:113. Read the full article.
    Haricharan, S., Bainbridge, M.N., Scheet, P., and Brown, P.H. (2014) Somatic mutation load of estrogen receptor-positive breast tumors predicts overall survival: an analysis of genome sequence data. Breast Cancer Res Treat. doi: 10.1007/s10549-014-2991-x. Read the full article.
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