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    <title>Schutte, M.</title>
    <link>http://repub.eur.nl/res/aut/9402/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>Gene expression profiling assigns CHEK2 1100delC breast cancers to the luminal intrinsic subtypes (Article)</title>
      <link>http://repub.eur.nl/res/pub/26314/</link>
      <pubDate>2011-05-26T00:00:00Z</pubDate>
      <description>CHEK2 1100delC is a moderate-risk cancer susceptibility allele that confers a high breast cancer risk in a polygenic setting. Gene expression profiling of CHEK2 1100delC breast cancers may reveal clues to the nature of the polygenic CHEK2 model and its genes involved. Here, we report global gene expression profiles of a cohort of 155 familial breast cancers, including 26 CHEK2 1100delC mutant tumors. In line with previous work, all CHEK2 1100delC mutant tumors clustered among the hormone receptor-positive breast cancers. In the hormone receptor-positive subset, a 40-gene CHEK2 signature was subsequently defined that significantly associated with CHEK2 1100delC breast cancers. The identification of a CHEK2 gene signature implies an unexpected biological homogeneity among the CHEK2 1100delC breast cancers. In addition, all 26 CHEK2 1100delC tumors classified as luminal intrinsic subtype breast cancers, with 8 luminal A and 18 luminal B tumors. This biological make-up of CHEK2 1100delC breast cancers suggests that a relatively limited number of additional susceptibility alleles are involved in the polygenic CHEK2 model. Identification of these as-yet-unknown susceptibility alleles should be aided by clues from the 40-gene CHEK2 signature. </description>
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      <title>Detection of circulating tumor cells in breast cancer may improve through enrichment with anti-CD146 (Article)</title>
      <link>http://repub.eur.nl/res/pub/33686/</link>
      <pubDate>2011-05-01T00:00:00Z</pubDate>
      <description>Most assays to detect circulating tumor cells (CTCs) rely on EpCAM expression on tumor cells. Recently, our group reported that in contrast to other molecular breast cancer subtypes, "normal-like" cell lines lack EpCAM expression and are thus missed when CTCs are captured with EpCAM-based technology [J Natl Cancer Inst 101(1):61-66, 2009]. Here, the use of CD146 is introduced to detect EpCAM-negative CTCs, thereby improving CTC detection. CD146 and EpCAM expression were assessed in our panel of 41 breast cancer cell lines. Cells from 14 cell lines, 9 of which normal-like, were spiked into healthy donor blood. Using CellSearch™ technology, 7.5 ml whole blood was enriched for CTCs by adding ferrofluids loaded with antibodies against EpCAM and/or CD146 followed by staining for Cytokeratin and DAPI. Hematopoietic cells and circulating endothelial cells (CECs) were counterstained with CD45 and CD34, respectively. A similar approach was applied for blood samples of 20 advanced breast cancer patients. Eight of 9 normal-like breast cancer cell lines lacked EpCAM expression but did express CD146. Five of these 8 could be adequately recovered by anti-CD146 ferrofluids. Of 20 advanced breast cancer patients whose CTCs were enumerated with anti-EpCAM and anti-CD146 ferrofluids, 9 had CD146+ CTCs. Cells from breast cancer cell lines that lack EpCAM expression frequently express CD146 and can be recovered by anti-CD146 ferrofluids. CD146+ CTCs are present in the peripheral blood of breast cancer patients with advanced disease. Combined use of anti-CD146 and anti-EpCAM is likely to improve CTC detection in breast cancer patients. </description>
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      <title>Genome-wide association study identifies five new breast cancer susceptibility loci (Article)</title>
      <link>http://repub.eur.nl/res/pub/19689/</link>
      <pubDate>2010-06-01T00:00:00Z</pubDate>
      <description>Breast cancer is the most common cancer in women in developed countries. To identify common breast cancer susceptibility alleles, we conducted a genome-wide association study in which 582,886 SNPs were genotyped in 3,659 cases with a family history of the disease and 4,897 controls. Promising associations were evaluated in a second stage, comprising 12,576 cases and 12,223 controls. We identified five new susceptibility loci, on chromosomes 9, 10 and 11 (P = 4.6 × 10-7  to P = 3.2 × 10-15). We also identified SNPs in the 6q25.1 (rs3757318, P = 2.9 × 10-6), 8q24 (rs1562430, P = 5.8 × 10-7) and LSP1 (rs909116, P = 7.3 × 10-7) regions that showed more significant association with risk than those reported previously. Previously identified breast cancer susceptibility loci were also found to show larger effect sizes in this study of familial breast cancer cases than in previous population-based studies, consistent with polygenic susceptibility to the disease.</description>
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      <title>Low-risk susceptibility alleles in 40 human breast cancer cell lines (Article)</title>
      <link>http://repub.eur.nl/res/pub/17054/</link>
      <pubDate>2009-07-16T00:00:00Z</pubDate>
      <description>Background: Low-risk breast cancer susceptibility alleles or SNPs confer only modest breast cancer risks ranging from just over 1.0 to 1.3 fold. Yet, they are common among most populations and therefore are involved in the development of essentially all breast cancers. The mechanism by which the low-risk SNPs confer breast cancer risks is currently unclear. The breast cancer association consortium BCAC has hypothesized that the low-risk SNPs modulate expression levels of nearby located genes. Methods: Genotypes of five low-risk SNPs were determined for 40 human breast cancer cell lines, by direct sequencing of PCR-amplified genomic templates. We have analyzed expression of the four genes that are located nearby the low-risk SNPs, by using real-time RT-PCR and Human Exon microarrays. Results: The SNP genotypes and additional phenotypic data on the breast cancer cell lines are presented. We did not detect any effect of the SNP genotypes on expression levels of the nearby-located genes MAP3K1, FGFR2, TNRC9 and LSP1. Conclusion: The SNP genotypes provide a base line for functional studies in a well-characterized cohort of 40 human breast cancer cell lines. Our expression analyses suggest that a putative disease mechanism through gene expression modulation is not operative in breast cancer cell lines.</description>
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      <title>Four human breast cancer cell lines with biallelic inactivating α-catenin gene mutations (Article)</title>
      <link>http://repub.eur.nl/res/pub/17410/</link>
      <pubDate>2009-01-01T00:00:00Z</pubDate>
      <description>Mutations of E-cadherin have been identified in half of lobular breast cancers and diffuse-type gastric cancers, two tumor subtypes with remarkably similar pathological appearances including small rounded cells with scant cytoplasm and a diffuse growth pattern. A causal role for E-cadherin gene mutations in the lobular breast cancer phenotype was recently demonstrated in E-cadherin knock-out mice. These observations suggested that another gene in the E-cadherin tumor suppressor pathway might be mutated in lobular breast cancers with wild-type E-cadherin genes. Here, we identified E-cadherin gene mutations exclusively in human breast cancer cell lines that grow with a rounded cell morphology. Using expression analyses and gene mutation analyses, we have identified four biallelic inactivating α-catenin mutations among 55 human breast cancer cell lines. All four α-catenin mutations predicted premature termination of the encoded proteins, and concordantly, none of the four mutant cell lines expressed α-catenin proteins. Importantly, three of the α-catenin mutant cell lines had the rounded cell morphology and all 14 cell lines with the rounded cell morphology had mutations of either E-cadherin or α-catenin. As anticipated, loss of α-catenin protein expression was associated with the lobular subtype in primary breast cancers. Together, our observations suggest that α-catenin may be a new tumor suppressor gene that operates in the E-cadherin tumor suppressor pathway.</description>
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      <title>Exon expression arrays as a tool to identify new cancer genes (Article)</title>
      <link>http://repub.eur.nl/res/pub/14910/</link>
      <pubDate>2008-08-20T00:00:00Z</pubDate>
      <description>Background: Identification of genes that are causally implicated in oncogenesis is a major goal in cancer research. An estimated 10-20% of cancer-related gene mutations result in skipping of one or more exons in the encoded transcripts. Here we report on a strategy to screen in a global fashion for such exon-skipping events using PAttern based Correlation (PAC). The PAC algorithm has been used previously to identify differentially expressed splice variants between two predefined subgroups. As genetic changes in cancer are sample specific, we tested the ability of PAC to identify aberrantly expressed exons in single samples. Principal Findings: As a proof-of-principle, we tested the PAC strategy on human cancer samples of which the complete coding sequence of eight cancer genes had been screened for mutations. PAC detected all seven exon-skipping mutants among 12 cancer cell lines. PAC also identified exon-skipping mutants in clinical cancer specimens although detection was compromised due to heterogeneous (wild-type) transcript expression. PAC reduced the number candidate genes/exons for subsequent mutational analysis by two to three orders of magnitude and had a substantial true positive rate. Importantly, of 112 randomly selected outlier exons, sequence analysis identified two novel exon skipping events, two novel base changes and 21 previously reported base changes (SNPs). Conclusions: The ability of PAC to enrich for mutated transcripts and to identify known and novel genetic changes confirms its suitability as a strategy to identify candidate cancer genes.</description>
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      <title>CHEK2 1100delC is a susceptibility allele for HNPCC-related colorectal cancer (Article)</title>
      <link>http://repub.eur.nl/res/pub/15221/</link>
      <pubDate>2008-08-01T00:00:00Z</pubDate>
      <description>Purpose: The pathogenic CHEK2 HOOdelC variant is firmly established as a breast cancer susceptibility allele. Dutch CHEK2 HOOdelC breast cancer families frequently also include colorectal cancer cases, and the variant is particularly prevalent among breast cancer families with hereditary breast and colorectal cancer. Yet, it is still unclear whether CHEK2 HOOdelC also confers a colorectal cancer risk independent of its breast cancer risk. Experimental Design: CHEK2 HOOdelC was genotyped in the index cases of 369 Dutch colorectal cancer families that had been excluded for familial breast cancer. The cohort included 132 cases with familial adenomatous polyposis (FAP) and FAP-related disease, and 237 cases with hereditary nonpolyposis colorectal cancer (HNPCC) and HNPCC-related disease. Results: None of the FAP/FAP-related cases carried the CHEK2 HOOdelC variant. In contrast, CHEK2 HOOdelC was present in 10 of 237 (4.2%) HNPCC/HNPCC-related cases that was significantly more prevalent than the 1.0% Dutch population frequency (odds ratio, 4.3; 95% confidence interval, 1.7-10.7; P = 0.002). Nine of the 10 CHEK2 HOOdelC colorectal cancer cases met the revised Amsterdam and/or Bethesda criteria. The 10 CHEK2 HOOdelC colorectal cancer families had a high-risk cancer inheritance pattern, including 35 colorectal cancer cases, 9 cases with polyps, and 21 cases with other tumor types. Conclusion: Our analysis provides strong evidence that the HOOdelC variant of CHEK2 confers a colorectal cancer risk in HNPCC/HNPCC-related families, supporting the hypothesis that CHEK2 is a multiorgan cancer susceptibility gene.</description>
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      <title>CHEK2 1100delC and male breast cancer in the Netherlands (Article)</title>
      <link>http://repub.eur.nl/res/pub/15959/</link>
      <pubDate>2008-01-01T00:00:00Z</pubDate>
      <description>Mutations in the breast cancer susceptibility genes BRCA1, BRCA2, and CHEK2 are known risk factors for female breast cancer. Mutations in BRCA1 and BRCA2 also are associated with male breast cancer (MBC). Similarly, it had been suggested in the original CHEK2 identification report that the CHEK2 1100delC mutation confers an increased risk for MBC. Here, we have evaluated the risk of CHEK2 1100delC for MBC by genotyping CHEK2 1100delC in 23 familial and 71 unselected Dutch MBC cases. None of the 23 familial MBC cases carried the CHEK2 1100delC mutation. In contrast, CHEK2 1100delC was present in 3 of the 71 (4.2%) unselected MBC cases, which was significantly more prevalent than the 1.1% Dutch population frequency assessed in 1,692 individuals (P = 0.05, OR = 4.1, 95% CI 1.2-14.3). Our data suggest that, in the Netherlands, CHEK2 1100delC is associated with an increased risk for MBC.</description>
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      <title>Low-penetrance susceptibility to breast cancer due to CHEK2(*)1100delC in noncarriers of BRCA1 or BRCA2 mutations (Article)</title>
      <link>http://repub.eur.nl/res/pub/5956/</link>
      <pubDate>2002-05-01T00:00:00Z</pubDate>
      <description>Mutations in BRCA1 and BRCA2 confer a high risk of breast and ovarian cancer, but account for only a small fraction of breast cancer susceptibility. To find additional genes conferring susceptibility to breast cancer, we analyzed CHEK2 (also known as CHK2), which encodes a cell-cycle checkpoint kinase that is implicated in DNA repair processes involving BRCA1 and p53 (refs 3,4,5). We show that CHEK2(*)1100delC, a truncating variant that abrogates the kinase activity, has a frequency of 1.1% in healthy individuals. However, this variant is present in 5.1% of individuals with breast cancer from 718 families that do not carry mutations in BRCA1 or BRCA2 (P = 0.00000003), including 13.5% of individuals from families with male breast cancer (P = 0.00015). We estimate that the CHEK2(*)1100delC variant results in an approximately twofold increase of breast cancer risk in women and a tenfold increase of risk in men. By contrast, the variant confers no increased cancer risk in carriers of BRCA1 or BRCA2 mutations. This suggests that the biological mechanisms underlying the elevated risk of breast cancer in CHEK2 mutation carriers are already subverted in carriers of BRCA1 or BRCA2 mutations, which is consistent with participation of the encoded proteins in the same pathway.</description>
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