Approximately 30% of colorectal cancer (CRC) risk is due to genetic (inherited) factors. Using mouse models, epistatic effects (risks observed only in the presence of a second genetic variant) and synergistic effects (multiplicative effects between genetic variants) have been shown to be important determinants of cancer risk. Identification of epistatic and synergistic interactions using genotypes from whole genome association studies is difficult due to the large number of possible combinations. We propose a mouse- human strategy to target regions in the human genome for genetic interaction analyses to reduce the complexity of these studies. Data from human case/control studies show that variants in two genes, AURKA and PTPRJ, increase CRC risk. In the mouse, both genes map to loci (genetic regions) that interact with other loci to synergistically increase cancer risk. The goal of this proposal is to identify susceptibility variants that interact with AURKA and PTPRJ to increase CRC risk. We hypothesize that the human equivalent loci to mouse CRC susceptibility loci will interact with AURKA and PTPRJ. To test this hypothesis and to identify interacting genetic variants for CRC risk we will: 1. Test variants from coding and regulatory regions of AURKA- and PTPRJ-interacting loci for variant specific changes in tumors. Previous studies show that cancer susceptibility variants are preferentially gained and cancer resistance variants are preferentially lost in tumors, thus providing a tool to identify these variants. Using matched normal and CRC tumor DNA from 600 individuals, variants that map to candidate AURKA and PTPRJ- interacting loci will be assessed for variant specific gains or losses. 2. Conduct two-way interaction studies of interacting CRC loci identified from mouse models. Variants that map to human equivalent regions of four interacting mouse susceptibility loci will be tested for genetic interactions in humans using published whole genome association data from 2200 CRC cases and controls. Significant findings from Aims 1 and 2 will be validated by sequence and gene expression studies in the strains of mice used to map the susceptibility loci. Variants showing evidence of cancer risk will be the focus of future population-based case control studies and mechanistic studies. This work will lead to the identification of interacting genetic variants which increase CRC risk and will result in better risk assessment tools for CRC. Since cancer mortality for CRC can be significantly reduced by the removal of precursor polyps during screening colonoscopy, identification of at risk individuals will decrease the incidence and mortality of this disease. Genes and pathways identified from these studies will provide new therapeutic targets for CRC treatment.

Public Health Relevance

This work has the potential to identify combinations of genetic variants that work together to increase susceptibility to colorectal cancer. Identification of these variants will lead to better risk assessments for colorectal cancer, a more complete understanding of the mechanisms of colorectal tumorigenesis and new therapeutic targets.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA134461-03
Application #
8206859
Study Section
Cancer Genetics Study Section (CG)
Program Officer
Mechanic, Leah E
Project Start
2010-02-05
Project End
2013-12-31
Budget Start
2012-01-01
Budget End
2012-12-31
Support Year
3
Fiscal Year
2012
Total Cost
$306,945
Indirect Cost
$105,670
Name
Ohio State University
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
832127323
City
Columbus
State
OH
Country
United States
Zip Code
43210
Siekmann, Tyler E; Gerber, Madelyn M; Toland, Amanda Ewart (2016) Variants in an Hdac9 intronic enhancer plasmid impact Twist1 expression in vitro. Mamm Genome 27:99-110
Yilmaz, Ayse Selen; Ozer, Hatice Gulcin; Gillespie, Jessica L et al. (2016) Differential mutation frequencies in metastatic cutaneous squamous cell carcinomas versus primary tumors. Cancer :
Gerber, Madelyn M; Hampel, Heather; Zhou, Xiao-Ping et al. (2015) Allele-specific imbalance mapping at human orthologs of mouse susceptibility to colon cancer (Scc) loci. Int J Cancer 137:2323-31
Deveci, Mehmet; Catalyürek, Umit V; Toland, Amanda Ewart (2014) mrSNP: software to detect SNP effects on microRNA binding. BMC Bioinformatics 15:73
Fleming, Jessica L; Dworkin, Amy M; Allain, Dawn C et al. (2014) Allele-specific imbalance mapping identifies HDAC9 as a candidate gene for cutaneous squamous cell carcinoma. Int J Cancer 134:244-8
Skeeles, Laura E; Fleming, Jessica L; Mahler, Kimberly L et al. (2013) The impact of 3'UTR variants on differential expression of candidate cancer susceptibility genes. PLoS One 8:e58609
Gerber, Madelyn M; Hampel, Heather; Schulz, Nathan P et al. (2012) Evaluation of allele-specific somatic changes of genome-wide association study susceptibility alleles in human colorectal cancers. PLoS One 7:e37672
Fleming, Jessica L; Phiel, Christopher J; Toland, Amanda Ewart (2012) The role for oxidative stress in aberrant DNA methylation in Alzheimer's disease. Curr Alzheimer Res 9:1077-96
Spurdle, Amanda B; Whiley, Phillip J; Thompson, Bryony et al. (2012) BRCA1 R1699Q variant displaying ambiguous functional abrogation confers intermediate breast and ovarian cancer risk. J Med Genet 49:525-32