Citations

Abstract A substantial proportion of familial colorectal cancer (CRC) is not a consequence of known susceptibility loci, such as mismatch repair (MMR) genes, supporting the existence of additional loci. To identify novel CRC loci, we conducted a genome-wide linkage scan in 356 white families with no evidence of defective MMR (i.e., no tumors with loss of expression of MMR proteins; no microsatellite instability (MSI)-high tumors, and no evidence of linkage to MMR genes). This represents the largest linkage analysis of proficient MMR (pMMR) familial CRC to date. Families were ascertained via the NCI-supported Colon Cancer Family Registry multi-site (Colon CFR) consortium, the City of Hope, and Memorial University of Newfoundland. A total of 1,612 individuals (average 5.0 per family, range 2-10 with an average of 2.2 affected and 2.8 unaffected individuals) were genotyped using genome-wide single nucleotide polymorphism linkage arrays; parametric and non-parametric linkage analysis used MERLIN in a priori-defined family groups. Five lod scores greater than 3.0 were observed, accounting for heterogeneity, in four chromosomal regions. The greatest lod scores were at 4q21.1 among families with mean age of diagnosis less than 50 years (dominant HLOD=4.51, α=0.84, 145.40 cM, rs10518142) and at 12q24.32 among all families (dominant HLOD=3.60, α=0.48, 285.15 cM, rs952093). Among families with four or more affected individuals and among clinic-based families, a common peak was observed at 15q22.31 (101.40 cM, rs1477798; dominant HLOD=3.07, α=0.29; dominant HLOD=3.03, α=0.32, respectively). Analysis of families with only two affected individuals yielded a peak at 8q13.2 (recessive HLOD=3.02, α=0.51, 132.52 cM, rs1319036). These linkage regions comprise previously unreported loci, supporting the hypothesis that novel loci contribute to CRC in familial pMMR cases. These loci are also largely distinct from those identified in case-control GWAS. To follow up on these findings, a custom Agilent Sure Select Target Enrichment panel has been designed for genes in three of these regions, in order to sequence probands using an Illumina HiSeq 2000. This study demonstrates the utility of family-based data and provides evidence for additional alleles for familial CRC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2930. doi:1538-7445.AM2012-2930

Abstract Pancreatic ductal adenocarcinoma (PDA) affects over 44,000 people in the United States every year and carries a dismal prognosis, with a 5-year survival rate of just 5%. A subset of these patients (5-10%) report a familial history of the disease. The genetic etiology in these familial cases is poorly defined, with known susceptibility genes, such as: BRCA2, PALB2, CDKN2A, BRCA1, PRSS1 and STK11, accounting for only 10-15% of familial pancreatic cancer. In an effort to identify previously unappreciated pancreatic cancer susceptibility genes, we used next generation sequencing technology to evaluate the whole genome and whole exome sequences of 16 (6 families) and 22 individuals (10 families) respectively. All of these families enrolled into one of the familial pancreatic cancer registries participating in the Pancreatic Cancer Genetic Epidemiology (PacGene) Consortium, all had at least three members with PDA, and DNA was available from at least two affected members in each kindred. Using this approach, we identified heterozygous, inactivating, ATM mutations in two kindreds with familial pancreatic cancer (c.8266A>AT; p.K2756X and c.170G>GA; p.W57X). These mutations were previously reported as disease causing variants in patients with ataxia-telangiectasia, an autosomal recessive condition resulting from bi-allelic deleterious mutations of ATM. Interestingly, heterozygotes of deleterious ATM mutations have an increased risk of breast cancer. However, there have been no previous reports of deleterious ATM mutations in the germline of familial PDA patients. In our study, mutations segregated with disease in both kindreds and tumor analysis demonstrated Loss of heterozygosity (LOH) of the wild-type allele. Sequence analysis of the entire ATM gene in an additional 166 familial pancreatic cancer probands indentified four additional patients with deleterious mutations in the ATM gene (c.3214G>GT; p.E1072X, c.6095G>GA; p.R2032K, IVS41-1G>GT and c.3801delG), while no deleterious mutations were identified in 190 spouse controls (p=0.046). When considering only the mostly severely affected families, those with three or more pancreatic cancer cases, four deleterious mutations were found in 87 families (P=0.009). These results indicate that ATM mutations play an important role in familial pancreatic cancer predisposition and have significant implications in the management of affected individuals and the risk assessment of family members. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2628. doi:1538-7445.AM2012-2628

Abstract Alterations in the expression of microRNAs (miRNAs) contribute to the development and progression of colon cancer, which arises from the accumulation of genetic and epigenetic alterations in the colon tissue. With the advent of next-generation sequencing (NGS), new depths can be reached, allowing for comprehensive profiling of known and novel miRNAs. To profile the miRNAs and their associated target genes in colon cancer, we examined differential expression of miRNAs and predicted target genes between tumor and normal tissue of microsatellite stable (MSS) and CpG island methylator phenotype (CIMP)-negative colon cancer. Ten fresh-frozen colon tumors and 10 adjacent normal mucosa were profiled for miRNAs using the SOLiD NGS platform and mRNA expression analysis was conducted using Affymetrix arrays. To identify differentially expressed miRNAs in tumor versus normal tissue, analysis of variance was conducted that included Bonferroni correction. Integrated expression analysis of miRNAs and their target mRNAs was conducted using Pearson's correlation and the Benjamini and Hochberg's false discovery rate. Both analyses were done using Partek Genomics Suite software. Nineteen miRNAs were significantly differentially expressed in tumor versus normal tissue (fold change ≥ ±2 and p<0.05). Six of these 19 miRNAs have previously been associated with colon cancer (miR-30a, miR-31, miR-135b, miR-182, miR-183 and miR-202). Integrated analysis of miRNA and predicted target mRNA expression yielded 97 significantly correlated miRNA::mRNA pairs for 14 miRNAs with 92 genes (absolute r = 0.71–0.88, q<0.05). Within these miRNA::mRNA pairs, expression levels of the 6 colon cancer-associated miRNAs were correlated with 33 target genes and 8 miRNAs newly identified to be differentially expressed in colon cancer were correlated with 57 target genes. The top functional Ingenuity Pathway Analysis gene ontology categories (p<0.05) for the 92 genes were gastrointestinal disease (18 genes), genetic disorder (21genes), inflammatory disease (15 genes) and cancer (21 genes). The correlated target genes included several genes implicated in colon cancer such as CDH3, NKD1, RGS2, TCFL5 and ZEB2. In summary, deep miRNA sequencing among MSS/CIMP-negative colon tumors confirmed differential expression of 6 colon cancer-associated miRNAs and identified 13 miRNAs not previously reported in colon cancer. Differential expression of most of the discovered miRNAs was correlated with the expression of genes potentially relevant for colon cancer. If confirmed, these miRNAs may serve as new biomarkers for colon cancer and may further our understanding of the epigenetic changes and pathways involved in the development of colon cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-348. doi:10.1158/1538-7445.AM2011-LB-348

Background Lynch syndrome is caused by germline mismatch repair (MMR) gene mutations. The PREMM 1,2,6 model predicts the likelihood of a MMR gene mutation based on personal and family cancer history. Objective To compare strategies using PREMM 1,2,6 and tumour testing (microsatellite instability (MSI) and/or immunohistochemistry (IHC) staining) to identify mutation carriers. Design Data from population-based or clinic-based patients with colorectal cancers enrolled through the Colon Cancer Family Registry were analysed. Evaluation included MSI, IHC and germline mutation analysis for MLH1 , MSH2 , MSH6 and PMS2 . Personal and family cancer histories were used to calculate PREMM 1,2,6 predictions. Discriminative ability to identify carriers from non-carriers using the area under the receiver operating characteristic curve (AUC) was assessed. Predictions were based on logistic regression models for (1) cancer assessment using PREMM 1,2,6 , (2) MSI, (3) IHC for loss of any MMR protein expression, (4) MSI+IHC, (5) PREMM 1,2,6 +MSI, (6) PREMM 1,2,6 +IHC, (7) PREMM 1,2,6 +IHC+MSI. Results Among 1651 subjects, 239 (14%) had mutations (90 MLH1 , 125 MSH2 , 24 MSH6 ). PREMM 1,2,6 discriminated well with AUC 0.90 (95% CI 0.88 to 0.92). MSI alone, IHC alone, or MSI+IHC each had lower AUCs: 0.77, 0.82 and 0.82, respectively. The added value of IHC+PREMM 1,2,6 was slightly greater than PREMM 1,2,6 +MSI (AUC 0.94 vs 0.93). Adding MSI to PREMM 1,2,6 +IHC did not improve discrimination. Conclusion PREMM 1,2,6 and IHC showed excellent performance in distinguishing mutation carriers from non-carriers and performed best when combined. MSI may have a greater role in distinguishing Lynch syndrome from other familial colorectal cancer subtypes among cases with high PREMM 1,2,6 scores where genetic evaluation does not disclose a MMR mutation.

Abstract Pancreatic cancers are the fourth most-common cause of cancer-related deaths in the Western world, with >200,000 cases reported in 2010. Although up to 10% of these cases occur in familial patterns, the hereditary basis for predisposition in the vast majority of affected families is unknown. We used next-generation sequencing, including whole-genome and whole-exome analyses, and identified heterozygous, constitutional, ataxia telangiectasia mutated (ATM) gene mutations in 2 kindreds with familial pancreatic cancer. Mutations segregated with disease in both kindreds and tumor analysis demonstrated LOH of the wild-type allele. By using sequence analysis of an additional 166 familial pancreatic cancer probands, we identified 4 additional patients with deleterious mutations in the ATM gene, whereas we identified no deleterious mutations in 190 spouse controls (P = 0.046). When we considered only the mostly severely affected families with 3 or more pancreatic cancer cases, 4 deleterious mutations were found in 87 families (P = 0.009). Our results indicate that inherited ATM mutations play an important role in familial pancreatic cancer predisposition. Significance: The genes responsible for the majority of cases of familial pancreatic ductal adenocarcinoma are unknown. We here identify ATM as a predisposition gene for pancreatic ductal adenocarcinoma. Our results have important implications for the management of patients in affected families and illustrate the power of genome-wide sequencing to identify the basis of familial cancer syndromes. Cancer Discovery; 2(1): 41–6. ©2011 AACR. Read the Commentary on this article by Bakker and de Winter, p. 14 This article is highlighted in the In This Issue feature, p. 1

Abstract Colon cancer is the result of a multi-step process involving the accumulation of genetic and epigenetic alterations leading to the transformation of normal colon epithelium to adenocarcinoma. Identification of characteristic genetic alterations is of critical importance to increase our understanding of the transformation process. We focused our analysis on the most common molecular sub-type of colon cancers, microsatellite stable (MSS) and CpG island methylator phenotype (CIMP)-negative, to identify characteristic copy number alteration (CNA) events and associated gene expression profiles using high-resolution genome-wide microarrays. DNA and RNA were extracted from 41 fresh-frozen paired colon tumors and adjacent normal tissue collected by the Colon Cancer Family Registry. Genomic profiles, such as CNAs and loss of heterozygosity (LOH), were identified with the Affymetrix Genome-Wide Human SNP 6.0 array for both tumor and adjacent normal tissue. Gene expression profiles of tumors and adjacent normal tissue were identified with the Affymetrix GeneChip Human Exon 1.0 ST array. Partek Genomics Suite software was used for analysis and data integration. We identified recurrent (>25%) CNAs in several chromosomal regions: gain in 1q, 7p, 7q, 8q, 13q, 20p, 20q, Xp, Xq and loss in 5q, 8p, 14q, 16p, 17p, 18p, and 18q. In addition, based on the allele information from the SNP arrays, we found a subset of these recurrent CNAs were associated with LOH. Preliminary results from the integration of CNA and gene expression data in tumors indicate that a subset of these recurrent CNAs is associated with the disruption of gene expression. For example, we observed recurrent copy number gain in 8q24.21, the genomic region containing the c-MYC gene, and associated up-regulation of c-MYC gene expression in tumors compared to adjacent normal tissue. In another example, recurrent copy number loss at 5q22.2 was associated with down-regulation of APC gene expression; loss of function of this tumor suppressor is associated with both hereditary and sporadic colon cancer. This genome-wide characterization of both genomic alterations and gene expression may help identify key genes and pathways that are disrupted in this common molecular subtype of colon cancer. We will present detailed results from this integrated and comprehensive genetic profiling of MSS and CIMP-negative colon cancers. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2145.

Purpose Prior reports have indicated that patients with colon cancer who demonstrate high-level microsatellite instability (MSI-H) or defective DNA mismatch repair (dMMR) have improved survival and receive no benefit from fluorouracil (FU) -based adjuvant therapy compared with patients who have microsatellite-stable or proficient mismatch repair (pMMR) tumors. We examined MMR status as a predictor of adjuvant therapy benefit in patients with stages II and III colon cancer. Methods MSI assay or immunohistochemistry for MMR proteins were performed on 457 patients who were previously randomly assigned to FU-based therapy (either FU + levamisole or FU + leucovorin; n = 229) versus no postsurgical treatment (n = 228). Data were subsequently pooled with data from a previous analysis. The primary end point was disease-free survival (DFS). Results Overall, 70 (15%) of 457 patients exhibited dMMR. Adjuvant therapy significantly improved DFS (hazard ratio [HR], 0.67; 95% CI, 0.48 to 0.93; P = .02) in patients with pMMR tumors. Patients with dMMR tumors receiving FU had no improvement in DFS (HR, 1.10; 95% CI, 0.42 to 2.91; P = .85) compared with those randomly assigned to surgery alone. In the pooled data set of 1,027 patients (n = 165 with dMMR), these findings were maintained; in patients with stage II disease and with dMMR tumors, treatment was associated with reduced overall survival (HR, 2.95; 95% CI, 1.02 to 8.54; P = .04). Conclusion Patient stratification by MMR status may provide a more tailored approach to colon cancer adjuvant therapy. These data support MMR status assessment for patients being considered for FU therapy alone and consideration of MMR status in treatment decision making.