A number of technologies are applied in parallel to determine the molecular profile of a given biospecimen. The majority of these technologies currently use microarray based methods, but they are rapidly being supplemented by evolving next generation DNA sequencing technologies. Several varieties of microarray are used for various purposes, but the predominant current technical approaches use synthetic oligonucleotides bound to a solid support and interrogated with labeled nucleic acids prepared from the biospecimen of interest. The power of this approach in the current embodiment of this technology is based largely on the direct connection between known genome sequence and the design of microarrays completely controlled by computational means. This allows the investigator to construct arrays of arbitrary design tailored specifically to the desired analysis and to adjust the resolution of the arrays to a remarkably fine level. Thus, for example, it is now possible to determine the expression of mRNAs exon by exon and to observe changes in gene copy number (amplification or deletion) at better than single gene resolution. Fluorescent probes prepared from any cell or tissue source of interest are then hybridized to these arrays providing a large scale high resolution view of the genome. Our recent efforts have applied this technology to pediatric and adult sarcomas. Currently we are focused on transitioning as many assays as possible to minute samples (such as may typically be collected in the course of routine clinical care) and formalin fixed paraffin embedded (FFPE) specimens. The ability to work with FFPE samples is particularly important when one considers the potential to transition discoveries made in the course of this work to clinical care where FFPE based methods are the standard method of stabilizing biospecimens in the clinical laboratory. Of importance we have demonstrated that it is possible to determine the methylation status of more than 1500 CpGs in parallel on hundreds of samples with results which match those obtained from frozen specimens. This opens vast existing archives of FFPE samples to investigation. We now routinely obtain excellent copy number data from FFPE samples as well. We are particularly interested in the role of specific transcription factors in determining breast cancer phenotypes and have been investigating these through chromatin immunoprecipitation combined with microarray or sequencing analysis. Similar array based technologies have been used to identify the methylation status at a large number of sites in parallel, extending the ability to characterize multiple aspects of genome structure, function and regulation. We have recently investigated the problem of grading ductal carcinoma in situ (DCIS). Pathologists are able to grade DCIS into high or low grade categories, but are left with a large number of cases which are intermediate in grade. We have demonstrated that it is possible to place these cases in either the high or low grade categories by expression profiling. This establishes a binary classification of DCIS which has the potential to improve individual diagnosis and to be used to stratify clinical trials.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
Application #
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
National Cancer Institute Division of Basic Sciences
Zip Code
Killian, J Keith; Walker, Robert L; Bilke, Sven et al. (2012) Genome-wide methylation profiling in archival formalin-fixed paraffin-embedded tissue samples. Methods Mol Biol 823:107-18
Killian, J Keith; Bilke, Sven; Davis, Sean et al. (2011) A methyl-deviator epigenotype of estrogen receptor-positive breast carcinoma is associated with malignant biology. Am J Pathol 179:55-65
Bolton, Kelly L; Garcia-Closas, Montserrat; Pfeiffer, Ruth M et al. (2010) Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies. Cancer Epidemiol Biomarkers Prev 19:992-9
Palmieri, Diane; Lockman, Paul R; Thomas, Fancy C et al. (2009) Vorinostat inhibits brain metastatic colonization in a model of triple-negative breast cancer and induces DNA double-strand breaks. Clin Cancer Res 15:6148-57
Palmieri, Diane; Fitzgerald, Daniel; Shreeve, S Martin et al. (2009) Analyses of resected human brain metastases of breast cancer reveal the association between up-regulation of hexokinase 2 and poor prognosis. Mol Cancer Res 7:1438-45