We use both cancer cell lines and primary tumors to identify genetic and epigenetic factors that are important in breast cancer progression and metastases. We have conducted comprehensive genetic characterization of 161 primary tumors as well as four isogenic cell lines, representing different stages of tumor progression. Similar to mountain and hill view of mutations, gene amplification also showed high and low frequency alterations in breast cancers. The frequently amplified genes include the well-known oncogenes, ERBB2, FGFR1, MYC, CCND1, PIK3CA whereas infrequent amplified oncogenes include CCND2, EGFR, FGFR2, POLD3, FGFR1, and NOTCH3. Gene expression signature from a 4-gene cluster containing POLD3, CCND1, FGFR1, and FGFR2 can predict breast cancer survival in multiple data sets. We also conducted DNA copy number analysis using MCF10A, a normal immortalized cell line, and cancer cells derived from MCF10A. Our study identified multiple genetic alterations that delineate tumor transformation and metastasis. We found that MYC amplification and homozygous deletion at CDKN2A locus were already present in MCF10A. The cancer cell lines, MCF10Ca1h and MCF10CA1a, acquired additional genetic alterations including PIK3CA mutation as well as gain of chromosome 3 containing the mutant PIK3CA allele. Furthermore, we found that the concomitant PIK3CA activation and amplification also occurred in primary tumors. We are currently investigating global DNA methylation changes in breast tumors and the role of allelic variation in gene expression and epigenetic modification in human cancers. Our genetic and epigenetic analyses of breast primary tumors and cancer cell lines provided a coherent picture about corroborating events that drive the breast cancer progression.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Intramural Research (Z01)
Project #
1Z01CP010154-09
Application #
7733721
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
9
Fiscal Year
2008
Total Cost
$680,856
Indirect Cost
Name
Division of Cancer Epidemiology and Genetics
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Hu, Nan; Kadota, Mitsutaka; Liu, Huaitian et al. (2016) Genomic Landscape of Somatic Alterations in Esophageal Squamous Cell Carcinoma and Gastric Cancer. Cancer Res 76:1714-23
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
Yang, Howard H; Hu, Nan; Taylor, Philip R et al. (2008) Whole genome-wide association study using affymetrix SNP chip: a two-stage sequential selection method to identify genes that increase the risk of developing complex diseases. Methods Mol Med 141:23-35
Lee, Maxwell P; Dunn, Barbara K (2008) Influence of genetic inheritance on global epigenetic states and cancer risk prediction with DNA methylation signature: challenges in technology and data analysis. Nutr Rev 66 Suppl 1:S69-72
Ng, David; Hu, Nan; Hu, Ying et al. (2008) Replication of a genome-wide case-control study of esophageal squamous cell carcinoma. Int J Cancer 123:1610-5
Hu, Nan; Wang, Chaoyu; Hu, Ying et al. (2005) Genome-wide association study in esophageal cancer using GeneChip mapping 10K array. Cancer Res 65:2542-6
Lin, Wei; Yang, Howard H; Lee, Maxwell P (2005) Allelic variation in gene expression identified through computational analysis of the dbEST database. Genomics 86:518-27
Lee, Maxwell P; Howcroft, Kevin; Kotekar, Aparna et al. (2005) ATG deserts define a novel core promoter subclass. Genome Res 15:1189-97
Lee, Maxwell P (2005) Genome-wide analysis of allele-specific gene expression using oligo microarrays. Methods Mol Biol 311:39-47

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