The Clinical Molecular Profiling Core's (CMPC) technology development efforts are primarily directed at expanding the number of clinical samples which can be analyzed. Despite the best intentions of clinical researchers, accrual of appropriate biospecimen remains the most challenging aspect of implementing the CMPC's personalized medicine mission. For this reason, we have directed efforts to the problem of analyzing formalin fixed paraffin embedded (FFPE) specimens. The ability to use FFPE is extremely attractive since this specimen type fits into routine pathology laboratory practices. An example of a recent project in this area is provided by our study of DNA methylation in cancer. Using a novel microarray based platform, we have established that it is possible to profile sites of DNA methylation in FFPE specimens as accurately as in frozen specimens. This will open up large archives of tissue specimens to this type of research. As expected, DNA based assays are relatively robust, however, RNA is much more labile template. We are exploring the possibility of obtaining mRNA signatures from archival material such as FFPE. This is difficult because although the platform technology is not intrinsically limiting, the fragmented RNA found in such compromised samples are subject to many variables in sample processing prior to stabilization (warm ischemia time, processing time, processing chemistry etc.) and after stabilization to varying degrees of time and conditions of storage. Despite these challenges, we believe it is worth exploring new technologies and procedures for analyzing short RNA fragments. To help ensure reproducibility and provide for quality results, we have evaluated and are continually develop standard operating procedures for extracting nucleic acid from clinical specimens. For the above mentioned study, we successfully extracted DNA from FFPE samples for use in methylation assays;significantly, these samples have been very suitable for comparative genomic hybridization and DNA sequencing. Very recently, we have developed a protocol for extracting DNA from cytology slides and have been able to generate remarkably high quality DNA copy number and mutation profiles from this material. Organic solvents such as phenol and chloroform have been used for decades to purify nucleic acids from blood and tissues. However, the use and waste produced with these chemicals creates health hazard issues and problems of disposal. Therefore, we have investigated and validated new protocols for extraction of DNA, RNA, and microRNA from both research and clinical specimens without the use of organic solvents. These efforts are illustrative of our commitment to extend the utility of genome profiling technologies to realistically obtainable clinical samples. A common problem the CMPC faces is that many of the specimens received are biopsies containing relatively few numbers of cells as compared to anatomic specimens. Also, sometimes specimens are in high demand for multiple uses and must be divided into very small amounts. Therefore, the CMPC is working to implement whole genome amplification prior to bringing the sample to testing on our commonly used assays such as DNA sequencing. Data have shown that these amplified sequences are suitable for DNA sequencing, but have generated problems for epigenomic assays such as methylation determination. The work is on going to make the best use of such small sample amounts and when successful will allow the CMPC to either decrease the amount of specimen needed up front or allow us to make use of what would be normally unacceptable starting amounts of very rare and precious specimens. In keeping with our goal to improve the utility of small amounts of sample and yet maximize the amount of information we can derive from such a specimen, an important project of the CMPC is to develop multiplex expression assays. Clinical investigators can utilize these to analyze specimens for particular biomarkers associated with a specific disease they are studying. For example, using the Nanostring platform it is possible to quantitate the gene expression of hundreds of genes using only 100 ng of total RNA. An important new area of technology development is in the application of """"""""next generation"""""""" sequencing technologies and development of protocols for use with clinical specimens. These new technologies offer the possibility of generating genomic profiling data on tumor specimens in a much deeper and more robust way than has been possible with microarrays. For example, it may become possible to profile large numbers of drug targets for mutations which may promote tumor growth, data which could be incorporated into future clinical trials design. The leadership of the CMPC understands that training of new students and scientists will be crucial to this new field of personalize cancer medicine and to that end have actively trained in this year one post-baccalaureate, one post-doctoral fellow, multiple summer students, and two high school senior volunteers working with us on a special program.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Scientific Cores Intramural Research (ZIC)
Project #
1ZICBC011041-06
Application #
8763750
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2013
Total Cost
$429,186
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Stevenson, Holly S; Wang, Yonghong; Muller, Rolf et al. (2015) Long-term stability of total RNA in RNAstable® as evaluated by expression microarray. Biopreserv Biobank 13:114-22
Teer, Jamie K; Johnston, Jennifer J; Anzick, Sarah L et al. (2013) Massively-parallel sequencing of genes on a single chromosome: a comparison of solution hybrid selection and flow sorting. BMC Genomics 14:253
Abaan, Ogan D; Polley, Eric C; Davis, Sean R et al. (2013) The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology. Cancer Res 73:4372-82
Ene, Chibawanye I; Edwards, Lincoln; Riddick, Gregory et al. (2012) Histone demethylase Jumonji D3 (JMJD3) as a tumor suppressor by regulating p53 protein nuclear stabilization. PLoS One 7:e51407
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
Nader, Nancy; Ng, Sinnie Sin Man; Wang, Yonghong et al. (2012) Liver x receptors regulate the transcriptional activity of the glucocorticoid receptor: implications for the carbohydrate metabolism. PLoS One 7:e26751
Bilke, Sven; Gindin, Yevgeniy (2012) Analyzing the association of SCNA boundaries with replication timing. Nat Biotechnol 30:1043-5; author reply 1045-6
Nader, Nancy; Ng, Sinnie Sin Man; Lambrou, George I et al. (2010) AMPK regulates metabolic actions of glucocorticoids by phosphorylating the glucocorticoid receptor through p38 MAPK. Mol Endocrinol 24:1748-64
Eberle, Franziska C; Hanson, Jeffrey C; Killian, J Keith et al. (2010) Immunoguided laser assisted microdissection techniques for DNA methylation analysis of archival tissue specimens. J Mol Diagn 12:394-401
Byun, Jung S; Wong, Madeline M; Cui, Wenwu et al. (2009) Dynamic bookmarking of primary response genes by p300 and RNA polymerase II complexes. Proc Natl Acad Sci U S A 106:19286-91

Showing the most recent 10 out of 14 publications