We have applied genomics and epigenomics to identify novel cancer-associated genes that are involved in breast cancer development. To support this activity, we developed analytic methods that can enhance signal and reduce noise. We have developed multivariate methods to discover gene expression and DNA methylation signatures that can classify tumors with different clinical phenotypes. Our expertise in data analyses and development of novel analytical methods also provide a focal point for interactions with other investigators.

National Institute of Health (NIH)
National Cancer Institute (NCI)
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National Cancer Institute Division of Basic Sciences
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Su, Hua; Hu, Nan; Yang, Howard H et al. (2011) Global gene expression profiling and validation in esophageal squamous cell carcinoma and its association with clinical phenotypes. Clin Cancer Res 17:2955-66
Kadota, Mitsutaka; Yang, Howard H; Gomez, Bianca et al. (2010) Delineating genetic alterations for tumor progression in the MCF10A series of breast cancer cell lines. PLoS One 5:e9201
Hu, Nan; Clifford, Robert J; Yang, Howard H et al. (2010) Genome wide analysis of DNA copy number neutral loss of heterozygosity (CNNLOH) and its relation to gene expression in esophageal squamous cell carcinoma. BMC Genomics 11:576
Devaiah, Ballachanda N; Lu, Hanxin; Gegonne, Anne et al. (2010) Novel functions for TAF7, a regulator of TAF1-independent transcription. J Biol Chem 285:38772-80
Yang, Howard H; Hu, Nan; Wang, Chaoyu et al. (2010) Influence of genetic background and tissue types on global DNA methylation patterns. PLoS One 5:e9355
Kadota, Mitsutaka; Sato, Misako; Duncan, Beverly et al. (2009) Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA. Cancer Res 69:7357-65
Hu, Nan; Wang, Chaoyu; Ng, David et al. (2009) Genomic characterization of esophageal squamous cell carcinoma from a high-risk population in China. Cancer Res 69:5908-17