Dataset Information

Genome-Wide Discovery of Novel Colon Cancer Predisposing Mutations

ABSTRACT:

Cancer risk shows clear heritability, but the inherited genetic factors remain largely unknown. This project will seek to identify new genes in which mutations confer hereditary risk for early onset colorectal cancer, with important implications for both biological understanding and clinical prediction and prevention. Identifying cancer predisposing mutations can provide new biological insights and significantly impact important clinical decision making regarding treatment, surveillance and preventive approaches. Hereditary colon cancer patients commonly present to Cancer Genetics clinics, but the majority of these patients do not have identifiable mutations in known candidate genes. We have performed whole exome sequencing to discover novel colorectal cancer susceptibility genes. The patients have been recruited from the Memorial Sloan Kettering Cancer Center (PIs Kenneth Offit, Nathan Ellis, and Zsofia Stadler), and Case Western University and University Hospitals of Cleveland (PIs Joseph Willis and Sanford Markowitz).

All exome sequencing was performed at the Broad Institute of Harvard and MIT; samples sequence capture was performed using Agilent SureSelect Human All Exon Kit v2 and sequencing was performed on an Illumina HiSeq 2000 or 2500.

PROVIDER: phs000824 | dbGaP |

SECONDARY ACCESSION(S): PRJNA264593PRJNA264592

REPOSITORIES: dbGaP

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Dataset's files

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			Action	DRS
	GapExchange_phs000824.v1.p1.xml	Xml
	dbGaPEx2.1.5.xsd	Other
	Study_Report.phs000824.NovelColonCancerPredisposingMutations.v1.p1.MULTI.pdf	Pdf
	manifest_phs000824.NovelColonCancerPredisposingMutations.v1.p1.c1.DS-GLCS-GSO.pdf	Pdf
	datadict_v2.xsl	Other

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Project description:Expression profiling is a well established tool for the genome-wide analysis of the transcriptional activity of human neoplasia. However, the high sensitivity of this approach combined with the well-known cellular and molecular heterogeneity of cancer often result in extremely complex and extended expression signatures of difficult functional interpretation. The majority of sporadic colorectal cancer cases are triggered by mutations in the APC tumor suppressor gene leading to constitutive activation of the Wnt/b-catenin signaling pathway and adenoma formation. Notwithstanding this common genetic basis, colorectal cancers are very heterogeneous in their degree of differentiation, growth rate and malignant potential. Here, we applied cross-species comparison of expression profiles of intestinal polyps derived from hereditary colorectal cancer patients carrying APC germline mutations, and from a mouse model carrying a targeted inactivating mutation in the mouse homologue Apc. This comparative approach resulted in the establishment of a conserved signature encompassing 166 genes differentially expressed between adenomas and normal intestinal mucosa in both species. Functional analysis of the conserved genes revealed a general increase in cell proliferation and the activation of the Wnt/b-catenin signal transduction pathway, as expected from the selection of APC/Apc-mutant intestinal adenomas. Moreover, the conserved signature is able to resolve expression profiles from hereditary polyposis patients carrying APC germline mutations from those with bi-allelic incativation of the MYH gene. Keywords: normal versus tumor comparison; compare expression profiles from microdissected samples with distinct germline mutations (FAP vs. MAP). Here, we report the expression profiles from normal and intestinal adenomatous tissue from FAP (familial adenomatous polyposis) and MAP (MUTY-associated polyposis) patients with established APC and MUTY germline mutations. Total RNA samples were obtianed by laser capture microdissection.

Project description:Background an Aim: Epigenetics are thought to play a major role in the carcinogenesis of patients that develop multiple colorectal cancers (CRC) in the non-hereditary setting. Previous studies have suggested concordant DNA hypermethylation between tumor pairs. However, only a few methylation markers have been analyzed. This study was aimed at describing the underlying epigenetic signature that differentiates multiple from solitary colorectal cancer tumors using a genome-scale DNA methylation profiling. Patients and Methods: We used a population-based cohort (EPICOLON II) of 12 patients with synchronous CRC and 29 age- sex- and tumor location-paired solitary CRC patients. DNA methylation profiling was performed using the Illumina Infinium HM27 DNA methylation assay. The most significantly hypermethylated CpG sites results were validated by Methylight. Tumors samples were also analyzed for the CpG Island Methylator Phenotype (CIMP) using the Infinium DNA methylation data; KRAS and BRAF mutations; microsatellite instability; and immunohistochemistry for MLH1/MSH2/MSH6/PMS2. Functional annotation clustering of differentially methylated genes between multiple and solitary CRCs was performed. Results: We identified 102 CpG sites that showed significant DNA hypermethylation in multiple versus solitary tumors (difference in M-NM-2 value >0.1 and p<0.05). Methylight assays validated the array results for 4 selected significantly hypermethylated genes (MAP1B, HTRA1, ALOX15, TIMP3) identified in the profiling (p=0.0002). Based on the Infinium data, 8/12 (66.6%) of multiple tumors were classified as CIMP-high, as compared to 5/29 (17%) solitary tumors (p=0.004). CIMP-high tumors displayed significant hypermethylation in 301 CpG sites (difference in M-NM-2 value >0.1; p value <0.05). Interestingly, 76/102 (74.5%) of the hypermethylated CpG sites found in multiple vs. solitary tumors were also seen to be hypermethylated in CIMP-H tumors. Functional analysis of hypermethylated genes found in multiple vs. solitary tumors showed the presence and enrichment of genes involved in different tumorigenic functions. Conclusions: Multiple colorectal cancers are associated with a distinct methylation phenotype, with a close association between tumor multiplicity and CIMP-high. Our results may be important to unravel the underlying mechanism of tumor multiplicity in the non-hereditary scenario, and provide novel potential biomarkers for identifying high-risk patients and tailoring surveillance strategies. We used a population-based cohort (EPICOLON II) of 12 patients with synchronous CRC and 29 solitary CRC patients. DNA methylation profiling was performed using the Illumina Infinium HM27 DNA methylation assay.

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Genome-Wide Discovery of Novel Colon Cancer Predisposing Mutations

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