Abstract P1-03-02: 'Normal' tissue adjacent to breast cancer is not normal
| Autor: | T Mathieson, R Atale, M Radovich, RJ Blosser, Amv Storniolo, MiRan Choi, Susan E. Clare, Diane K. Doxey, Cam Sauder, Sunil Badve, I Pardo, Heather A. Lillemoe |
|---|---|
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | Cancer Research. 72:P1-03 |
| ISSN: | 1538-7445 0008-5472 |
| DOI: | 10.1158/0008-5472.sabcs12-p1-03-02 |
| Popis: | Background: Gene expression data from pancreatic cancer, histologically normal tissue adjacent to the cancer and normal pancreas reveals that adjacent normal has already acquired a number of transcriptional alterations and is not, therefore, an appropriate baseline for comparison with cancers. (Gadaleta et al., 2011) The purpose of this study was to determine if this is also the case for breast cancer and, if so, to identify the differences in gene expression between adjacent normal and normal breast. Methods: RNA-Seq data from breast cancer and adjacent normal was downloaded from the TCGA (The Cancer Genome Atlas) data portal. The epithelia from 20 frozen tissue cores from healthy premenopausal donors to the Susan G. Komen for the the Cure® Tissue Bank at the IU Simon Cancer Center were microdissected and the RNA isolated. RNA-seqeuncing was carried out using the Life Technologies SOLiD Platform. RPKM gene expression values from TCGA and sequencing of the Komen normal tissues were merged, quantile normalized, and batch effect corrected. Normalization and differential gene expression was performed using Partek Genomics Suite. Results: Principal component analysis (PCA) reveals complete separation between adjacent normal and healthy normal breast tissue. Setting a maximum FDR (false discover rate) of 5%, 2239 genes are differentially expressed between adjacent normal and healthy normal. Ingenuity pathway analysis reveals that the Fos, Jun and TGFbeta pathways are active in the adjacent normal. Conclusions: Tissue adjacent to a primary breast cancer is not normal when using healthy breast tissue as a comparator. As RNA-Seq data is digital, it is possible to quantify the changes in gene expression starting from healthy normal to normal adjacent to tumor to tumor. Increasing and decreasing gene expression values provide clues to the fundamental molecular changes occurring in histologically normal appearing adjacent tissue. The differences in gene expression we have identified are some of the earliest changes in breast carcinogenesis and provide insight into the etiology of this disease and, potentially, its prevention. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P1-03-02. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|