Gloria M Petersen

Mayo Clinic - Rochester, Rochester, Minnesota, United States

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Publications (226)2235.89 Total impact

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    ABSTRACT: Pancreatic neuroendocrine tumors (PNETs) are uncommon, and little is known about their risk factors and association with other cancers. We evaluated whether the following risk factors known to be associated with pancreatic adenocarcinoma are also associated with PNETs: smoking, alcohol use, family history of PNET, and other cancers, and personal history of diabetes as potential risk factors.
    Pancreas 10/2014; · 2.95 Impact Factor
  • Annals of oncology : official journal of the European Society for Medical Oncology / ESMO. 09/2014;
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    ABSTRACT: DNA repair is a key mechanism in maintaining genomic stability: repair deficiencies increase DNA damage and mutations that lead to several diseases, including cancer. We extracted DNA from peripheral blood mononuclear cells (PBMCs) of 48 pancreatic adenocarcinoma cases and 48 healthy controls to determine relative levels of nuclear DNA (nDNA) and mitochondrial DNA (mtDNA) damage by QPCR. All participants were never smokers and between the ages of 60 and 69. Average levels among cases were compared to controls using a rank sum test, and logistic regression adjusted for potential confounding factors (age, sex, and diabetes mellitus). Cases had less DNA damage, with a significant decrease in mtDNA damage (P-value = 0.03) and a borderline significant decrease in nDNA damage (P = 0.08). Across samples, we found mtDNA abundance was higher among non-diabetics compared to diabetics (P = 0.04). Our results suggest that patients with pancreatic adenocarcinoma have less DNA damage in their PBMCs, and that having diabetes, a known pancreatic cancer risk factor, is associated with lower levels of mtDNA abundance. © 2014 Wiley Periodicals, Inc.
    Molecular Carcinogenesis 08/2014; · 4.27 Impact Factor
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    ABSTRACT: We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 × 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 × 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 × 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 × 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 × 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 × 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies.
    Nature genetics. 08/2014;
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    ABSTRACT: OBJECTIVES:Diabetes mellitus (DM) has a bidirectional association with pancreatic cancer (PaC); however, its effect on clinical outcomes has not been thoroughly evaluated. We analyzed these data in a large sample of PaC subjects who had undergone surgical resection.METHODS:Subjects enrolled in the Mayo Clinic Pancreatic Cancer SPORE registry from 2000 to 2010 who had resection with curative intent were identified (n=488). Tumor size, cancer stage, and postoperative median survival were evaluated. Median survivals were compared with Kaplan-Meier curves and Cox proportional hazards regression modeling.RESULTS:A total of 275 (56%) subjects had DM before surgery. DM subjects had larger tumors compared with those without DM (3.6 cm vs. 3.3, P=0.002), even after controlling for covariates including age, body mass index, and tumor grade. Cancer stage at the time of surgery was not affected by DM status (P=0.575). Preoperative DM was not associated with an increased risk of death using a multivariable survival analysis (hazard ratio 1.06, 95% confidence interval 0.81-1.38, P=0.676). The median survival following cancer resection was similar between subjects with and without DM (24 vs. 26 months, P=0.610). In addition, postoperative survival was similar on the basis of the duration of DM (new-onset vs. long-standing) and prior use of antidiabetic treatments in diabetic subjects.CONCLUSIONS:PaC subjects with DM have larger tumors than nondiabetic subjects. Despite this observation, preoperative DM does not negatively impact the cancer stage at the time of surgery or postoperative survival. Thus, the effect of DM on tumor size is either overshadowed by early metastatic spread of the cancer or is mitigated by the tumor resection.Am J Gastroenterol advance online publication, 29 July 2014; doi:10.1038/ajg.2014.193.
    The American journal of gastroenterology. 07/2014;
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    ABSTRACT: Type 2 diabetes mellitus has been associated with an excess risk of pancreatic cancer, but the magnitude of the risk and the time-risk relationship are unclear, and there is limited information on the role of antidiabetic medications.
    Annals of oncology : official journal of the European Society for Medical Oncology / ESMO. 07/2014;
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    ABSTRACT: Genome-wide association studies (GWAS) have mapped risk alleles for at least ten distinct cancers to a small region of 63,000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (ASSET) across six distinct cancers in 34,248 cases and 45,036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single nucleotide polymorphisms (SNPs): five in the TERT gene (region 1: rs7726159, P=2.10x10-39; region 3: rs2853677, P=3.30x10-36 and PConditional=2.36x10-8; region 4: rs2736098, P=3.87x10-12 and PConditional=5.19x10-6, region 5: rs13172201, P=0.041 and PConditional=2.04x10-6; and region 6: rs10069690, P=7.49x10-15 and PConditional=5.35x10-7) and one in the neighboring CLPTM1L gene (region 2: rs451360; P=1.90x10-18 and PConditional=7.06x10-16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele specific effects on DNA methylation were seen for a subset of risk loci indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
    Human Molecular Genetics 07/2014; · 7.69 Impact Factor
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    ABSTRACT: Although many studies have investigated meat and total fat in relation to pancreatic cancer risk, few have investigated dairy, fish and specific fatty acids (FAs). We evaluated the association between intake of meat, fish, dairy, specific FAs and related nutrients and pancreatic cancer. In our American-based Mayo Clinic case-control study 384 cases and 983 controls frequency matched on recruitment age, race, sex and residence area (Minnesota, Wisconsin or Iowa, USA) between 2004 and 2009. All subjects provided demographic information and completed 144-item food frequency questionnaire. Logistic regression-calculated odds ratios (ORs) and 95% confidence intervals (95% CIs) were adjusted for age, sex, cigarette smoking, body mass index and diabetes mellitus. Significant inverse association (trend p-value < 0.05) between pancreatic cancer and the groupings (highest vs. lowest consumption quintile OR [95% CI]) was as follows: meat replacement (0.67 [0.43-1.02]), total protein (0.58 [0.39-0.86]), vitamin B12 (0.67 [0.44, 1.01]), zinc (0.48 [0.32, 0.71]), phosphorus (0.62 [0.41, 0.93]), vitamin E (0.51 [0.33, 0.78]), polyunsaturated FAs (0.64 [0.42, 0.98]) and linoleic acid (FA 18:2) (0.62 [0.40-0.95]). Increased risk associations were observed for saturated FAs (1.48 [0.97-2.23]), butyric acid (FA 4:0) (1.77 [1.19-2.64]), caproic acid (FA 6:0) (2.15 [1.42-3.27]), caprylic acid (FA 8:0) (1.87 [1.27-2.76]) and capric acid (FA 10:0) (1.83 [1.23-2.74]). Our study suggests that eating a diet high in total protein and certain unsaturated FAs is associated with decreased risk of developing pancreatic cancer in a dose-dependent manner, whereas fats found in dairy increase risk.
    International Journal of Cancer 04/2014; 134(8):1935-46. · 6.20 Impact Factor
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    ABSTRACT: The role of GLI1 in pancreatic tumor initiation promoting the progression of preneoplastic lesions into tumors is well established. However, its function at later stages of pancreatic carcinogenesis remains poorly understood. To address this issue, we crossed the gli1 knockout animal (GKO) with cre-dependent pancreatic activation of oncogenic kras concomitant with loss of the tumor suppressor tp53 (KPC). Interestingly, in this model, GLI1 played a tumor protective function, where survival of GKO/KPC mice was reduced compared to KPC littermates. Both cohorts developed pancreatic cancer without significant histopathological differences in survival studies. However, analysis of mice using ultrasound based imaging at earlier time-points showed increased tumor burden in GKO/KPC mice. These animals have larger tumors, decreased body weight, increased lactate dehydrogenase production, and severe leukopenia. In vivo and in vitro expression studies identified FAS and FAS ligand as potential mediators of this phenomenon. The FAS/FASL axis, an apoptotic inducer, plays a role in the progression of pancreatic cancer, where its expression is usually lost or significantly reduced in advanced stages of the disease. Chromatin immunoprecipitation and reporter assays identified FAS and FASL as direct targets of GLI1 where GKO/KPC mice showed lower levels of this ligand compared to KPC animals. Finally, decreased levels of apoptosis were detected in the tumor tissue in the absence of GLI1 by TUNEL staining. Together, these findings define a novel pathway regulated by GLI1 controlling pancreatic tumor progression and provide a new theoretical framework to help with the design and analysis of trials targeting GLI1-related pathways.
    Journal of Biological Chemistry 04/2014; · 4.65 Impact Factor
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    ABSTRACT: Genome wide association studies (GWAS) of ten different cancers have identified pleiotropic cancer predisposition loci across a region of chromosome 5p15.33 that includes the TERT and CLPTM1L genes. Of these, susceptibility alleles for pancreatic cancer have mapped to the CLPTM1L gene, thus prompting an investigation of the function of CLPTM1L in the pancreas. Immunofluorescence analysis indicated that CLPTM1L localized to the endoplasmic reticulum (ER) where it is likely embedded in the membrane, in accord with multiple predicted trans-membrane domains. Overexpression of CLPTM1L enhanced growth of pancreatic cancer cells in vitro (1.3-1.5 fold, PDAY7<0.003) and in vivo (3.46 fold, PDAY68=0.039), suggesting a role in tumor growth; this effect was abrogated by deletion of two hydrophilic domains. Affinity purification followed by mass-spectrometry identified an interaction between CLPTM1L and non-muscle myosin II (NMM-II), a protein involved in maintaining cell shape, migration, and cytokinesis. The two proteins co-localized in the cytoplasm and, after treatment with a DNA damaging agent, at the centrosomes. Overexpression of CLPTM1L and depletion of NMM-II induced aneuploidy, indicating that CLPTM1L may interfere with normal NMM-II function in regulating cytokinesis. Immunohistochemical analysis revealed enhanced staining of CLPTM1L in human pancreatic ductal adenocarcinoma (n=378) as compared to normal pancreatic tissue samples (n=17) (P=1.7x10-4). Our results suggest that CLPTM1L functions as a growth promoting gene in the pancreas and that overexpression may lead to an abrogation of normal cytokinesis, indicating that it should be considered as a plausible candidate gene that could explain the effect of pancreatic cancer susceptibility alleles on chr5p15.33.
    Cancer Research 03/2014; · 9.28 Impact Factor
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    ABSTRACT: Background: Melanoma cases may exist in pancreatic cancer kindreds, while there is increased risk of pancreatic cancer in familial melanoma. The two cancers may share genetic susceptibility variants in common. Methods: Three dbGaP-deposited GWAS datasets (MD Anderson melanoma, PanScan 1, and PanScan 2 for pancreatic cancer) were used. Thirty-seven melanoma susceptibility variants in 22 genomic regions from published GWAS, plus melanoma-related genes and pathways were examined for pancreatic cancer risk in the PanScan datasets. Conversely, nine known pancreatic cancer susceptibility variants were examined for melanoma risk in the MD Anderson dataset. Results: In the PanScan data, initial associations were found with melanoma susceptibility variants in NCOA6 (rs4911442) (OR=1.32, 95% CI 1.03-1.70, p=0.03), YWHAZP5 (rs17119461) (OR=2.62, 95% CI 1.08-6.35, p=0.03), and YWHAZP5 (rs17119490) (OR=2.62, 95% CI 1.08-6.34, p=0.03), TYRP1 (p=0.04), and IFNA13 (p=0.04). In the melanoma dataset, two pancreatic cancer susceptibility variants were associated: NR5A2 (rs12029406) (OR=1.39, 95% CI 1.01-1.92, p=0.04) and CLPTM1L-TERT (rs401681) (OR=1.16, 95% CI 1.01-1.34, p=0.04). None of these associations remained significant after correcting for multiple comparisons. Conclusion: Reported variants of melanoma genes and pathways do not play a role in pancreatic cancer predisposition. Reciprocally, pancreatic cancer susceptibility variants are not associated with melanoma risk. Impact: Known melanoma-related genes and pathways, as well as GWAS-derived susceptibility variants of melanoma and pancreatic cancer, do not explain the shared genetic etiology of these two cancers.
    Cancer Epidemiology Biomarkers &amp Prevention 03/2014; · 4.56 Impact Factor
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    ABSTRACT: Telomeres are nucleoprotein structures that cap the end of chromosomes and shorten with sequential cell divisions in normal aging. Short telomeres are also implicated in the incidence of many cancers, but the evidence is not conclusive for colorectal cancer (CRC). Therefore, the aim of this study was to assess the association of CRC and telomere length. In this case-control study, we measured relative telomere length from peripheral blood leukocytes (PBLs) DNA with quantitative PCR in 598 CRC patients and 2,212 healthy controls. Multivariate analysis indicated that telomere length was associated with risk for CRC, and this association varied in an age-related manner; younger individuals (≤50 years of age) with longer telomeres (80-99 percentiles) had a 2-6 times higher risk of CRC, while older individuals (>50 years of age) with shortened telomeres (1-10 percentiles) had 2-12 times the risk for CRC. The risk for CRC varies with extremes in telomere length in an age-associated manner. Younger individuals with longer telomeres or older individuals with shorter telomeres are at higher risk for CRC. These findings indicate that the association of PBL telomere length varies according to the age of cancer onset and that CRC is likely associated with at minimum two different mechanisms of telomere dynamics.
    Clinical and translational gastroenterology. 01/2014; 5:e52.
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    ABSTRACT: A workshop sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and the National Cancer Institute (NCI) on "Pancreatitis-Diabetes-Pancreatic Cancer" focused on the risk factors of chronic pancreatitis (CP) and diabetes mellitus (DM) on the development of pancreatic ductal adenocarcinoma (PDAC). Sessions were held on (a) an overview of the problem of PDAC; (b) CP as a risk factor of PDAC; (c) DM as a risk factor of PDAC; (d) pancreatogenic, or type 3c, DM; (e) genomic associations of CP, DM, and PDAC; (f) surveillance of high-risk populations and early detection of PDAC; and (g) effects of DM treatment on PDAC. Recent data and current understandings of the mechanisms of CP- and DM-associated factors on PDAC development were discussed, and a detailed review of the possible risks of DM treatment on the development of PDAC was provided by representatives from academia, industry, and the Food and Drug Administration. The current status of possible biomarkers of PDAC and surveillance strategies for high-risk populations were discussed, and the gaps in knowledge and opportunities for further research were elucidated. A broad spectrum of expertise of the speakers and the discussants provided an unusually productive workshop, the highlights of which are summarized in the accompanying article.
    Pancreas 11/2013; 42(8):1227-37. · 2.95 Impact Factor
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    ABSTRACT: Background: Obesity and diabetes are potentially alterable risk factors for pancreatic cancer. Genetic factors that modify the associations of obesity and diabetes with pancreatic cancer have previously not been examined at the genome-wide level. Methods: Using GWAS genotype and risk factor data from the Pancreatic Cancer Case Control Consortium, we conducted a discovery study of 2,028 cases and 2,109 controls to examine gene-obesity and gene-diabetes interactions in relation to pancreatic cancer risk by employing the likelihood ratio test (LRT) nested in logistic regression models and Ingenuity Pathway Analysis (IPA). Results: After adjusting for multiple comparisons, a significant interaction of the chemokine signaling pathway with obesity (P=3.29×10^(-6)) and a near significant interaction of calcium signaling pathway with diabetes (P=1.57×10^(-4)) in modifying the risk of pancreatic cancer was observed. These findings were supported by results from IPA analysis of the top genes with nominal interactions. The major contributing genes to the two top pathways include GNGT2, RELA, TIAM1 and GNAS. None of the individual genes or SNPs except one SNP remained significant after adjusting for multiple testing. Notably, SNP rs10818684 of the PTGS1 gene showed an interaction with diabetes (P = 7.91×10^(-7)) at a false discovery rate of 6%. Conclusions: Genetic variations in inflammatory response and insulin resistance may affect the risk of obesity and diabetes-related pancreatic cancer. These observations should be replicated in additional large datasets. Impact: Gene-environment interaction analysis may provide new insights into the genetic susceptibility and molecular mechanisms of obesity- and diabetes-related pancreatic cancer.
    Cancer Epidemiology Biomarkers &amp Prevention 10/2013; · 4.56 Impact Factor
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    ABSTRACT: A source of variation for inconsistent dietary-pancreatic cancer associations may be individuals carrying constitutional metabolism/antioxidant gene variants that differentially benefit compared to homozygous individuals. Seventy-six tag single-nucleotide polymorphisms were genotyped in 13 candidate genes to test differential associations with pancreatic adenocarcinoma. A clinic-based case-control design was used to rapidly ascertain 251 cases and 970 frequency matched controls who provided blood samples and completed a 144-item food frequency questionnaire. Single-nucleotide polymorphisms were evaluated using a dominant genetic model and dietary categories split on controls' median intake. Logistic regression was used to calculate odds ratios and 95% confidence intervals, adjusted for potential confounders. Significant increased associations (Bonferroni corrected P ≤ 0.0007) were observed for carriers of greater than or equal to 1 minor allele for rs3816257 (glucosidase, α; acid [GAA]) and lower intake of deep-yellow vegetables (1.90 [1.28-2.83]); and carriers of no minor allele for rs12807961 (catalase [CAT]) and high total grains intake (2.48 [1.50-4.09]), whereas those with greater than or equal to 1 minor allele had a decreasing slope (across grains). The reference group was no minor alleles with low dietary intake. Interindividual variation in metabolism/antioxidant genes could interact with dietary intake to influence pancreatic cancer risk.
    Pancreas 10/2013; 42(7):1043-53. · 2.95 Impact Factor
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    ABSTRACT: Pancreatic cancer is a highly lethal cancer with limited diagnostic and therapeutic modalities. To begin to explore the genomic landscape of pancreatic cancer, we used massively parallel sequencing to catalog and compare transcribed regions and potential regulatory elements in two human cell lines derived from normal and cancerous pancreas. By RNA-sequencing, we identified 2,146 differentially expressed genes in these cell lines that were enriched in cancer related pathways and biological processes that include cell adhesion, growth factor and receptor activity, signaling, transcription and differentiation. Our high throughput Chromatin immunoprecipitation (ChIP) sequence analysis furthermore identified over 100,000 regions enriched in epigenetic marks, showing either positive (H3K4me1, H3K4me3, RNA Pol II) or negative (H3K27me3) correlation with gene expression. Notably, an overall enrichment of RNA Pol II binding and depletion of H3K27me3 binding were seen in the cancer derived cell line as compared to the normal derived cell line. By selecting genes for further assessment based on this difference, we confirmed enhanced expression of aldehyde dehydrogenase 1A3 (ALDH1A3) in two larger sets of pancreatic cancer cell lines and in tumor tissues as compared to normal derived tissues. As aldehyde dehydrogenase (ALDH) activity is a key feature of cancer stem cells, our results indicate that a member of the ALDH superfamily, ALDH1A3, may be upregulated in pancreatic cancer, where it could mark pancreatic cancer stem cells.
    BMC Medical Genomics 09/2013; 6(1):33. · 3.47 Impact Factor
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    ABSTRACT: Background: Both shorter and longer telomeres in peripheral blood leukocyte (PBL) DNA have been associated with cancer risk. However, associations remain inconsistent across studies of the same cancer type. This study compares DNA preparation methods to determine telomere length from colorectal cancer patients. Methods: We examined PBL relative telomere length (RTL) measured by quantitative PCR (qPCR) in 1,033 colorectal cancer patients and 2,952 healthy controls. DNA was extracted with Phenol/Chloroform, PureGene or QIAamp. Results: We observed differences in RTL depending on DNA extraction method (p<0.001). Phenol/Chloroform extracted DNA had a mean RTL (T/S ratio) of 0.78 (range 0.01-6.54) ) compared to PureGene extracted DNA (mean RTL of 0.75; range 0.00-12.33). DNA extracted by QIAamp yielded a mean RTL of 0.38 (range 0.02-3.69). We subsequently compared RTL measured by qPCR from an independent set of 20 colorectal cancer cases and 24 normal controls in PBL DNA extracted by each of the three extraction methods. The range of RTL measured by qPCR from QIAamp-extracted DNA (0.17-0.58-) was smaller than from either PureGene or Phenol/Chloroform (ranges: 0.04-2.67 and 0.32-2.81, respectively). Conclusions: RTL measured by qPCR from QIAamp-extracted DNA was smaller than from either PureGene or Phenol/Chloroform (p<0.001). Impact: Differences in DNA extraction method may contribute to the discrepancies between studies seeking to find an association between the risk of cancer or other diseases and RTL.
    Cancer Epidemiology Biomarkers &amp Prevention 09/2013; · 4.56 Impact Factor
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    ABSTRACT: Increasing grade of pancreatic intraepithelial neoplasia (PanIN) has been associated with progression to pancreatic ductal adenocarcinoma (PDAC). However, the mechanisms that control progression from PanINs to PDAC are not well understood. We investigated the genetic alterations involved in this process. Genomic DNA samples from laser-capture microdissected PDACs and adjacent PanIN2 and PanIN3 lesions from 10 patients with pancreatic cancer were analyzed by exome sequencing. Similar numbers of somatic mutations were identified in PanINs and tumors, but the mutational load varied greatly among cases. Ten of the 15 isolated PanINs shared more than 50% of somatic mutations with associated tumors. Mutations common to tumors and clonally related PanIN2 and PanIN3 lesions were identified as genes that could promote carcinogenesis. KRAS and TP53 were frequently altered in PanINs and tumors, but few other recurrently modified genes were detected. Mutations in DNA damage response genes were prevalent in all samples. Genes that encode proteins involved in gap junctions, the actin cytoskeleton, the mitogen-activated protein kinase signaling pathway, axon guidance, and cell cycle regulation were among the earliest targets of mutagenesis in PanINs that progressed to PDAC. Early-stage PanIN2 lesions appear to contain many of the somatic gene alterations required for PDAC development.
    Gastroenterology 08/2013; · 12.82 Impact Factor
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    ABSTRACT: Pancreatic cancer is a devastating disease for which the role of dietary factors remains inconclusive. Our objective was to evaluate the risk of pancreatic cancer associated with nutrients found in fruits and vegetables and nutrient supplementation using a clinic-based case-control design. Our study included 384 rapidly ascertained cases and 983 controls frequency-matched on age at time of recruitment (in 5-year increments), race, sex, and region of residence. All subjects provided demographic information and completed a 144-item food frequency questionnaire in which they reported no change to their diet within 5 years prior to entering the study. Logistic regression was used to calculate odds ratios and 95 % confidence intervals, adjusted for age, sex, smoking, body mass index, energy intake, and alcohol consumption. Results show a significant (trend p value < 0.05) inverse association between pancreatic cancer and nutrient/supplement groupings in a dose-dependent manner including magnesium, potassium, selenium, alpha-carotene, beta-carotene, beta-cryptoxanthin, lutein and zeaxanthin, niacin, total alpha-tocopherol, total vitamin A activity, vitamin B6, and vitamin C. Adjusting for diabetes or total sugar intake did not result in significant changes. We conclude that most nutrients obtained through consumption of fruits and vegetables may reduce the risk of developing pancreatic cancer.
    Journal of Gastrointestinal Cancer 06/2013; 44(2):152-61.
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    ABSTRACT: BACKGROUND: Cancer is a shared family experience that might provide an opportunity for lifestyle change among at-risk family members. The purpose of this study was to assess receptivity and preferences for cancer risk reduction programs among at-risk family members with two or more relatives affected with pancreas cancer. METHODS: We surveyed 401 at-risk family members in an existing pancreatic cancer family registry. Participants completed a mailed survey which examined demographic, medical, and psychosocial correlates of willingness to participate in lifestyle cancer risk reduction programs. Multivariable generalized estimating equation approaches were used to model preferences. RESULTS: Overall, 85% (n = 342) of at-risk family members were receptive to lifestyle cancer risk reduction programs. Participant preferred programs focused on nutrition (36%, n = 116) and weight management (33%, n = 108), with Web/Internet (46%, n = 157) being the most preferred delivery channel. Most respondents preferred to participate in programs with their family or friends (74%, n = 182), rather than alone (25%, n = 85). In multivariable analysis, younger age (p = 0.008) and higher perceived likelihood of developing cancer (p = 0.03) were associated with willingness to participate in lifestyle programs. CONCLUSIONS: Family members of those with pancreatic cancer are receptive to cancer risk reduction programs focusing on nutrition and weight management delivered via the internet. Further research is indicated to determine how to best incorporate a family-based approach when designing lifestyle intervention programs.
    Hereditary Cancer in Clinical Practice 05/2013; 11(1):3. · 1.71 Impact Factor

Publication Stats

13k Citations
2,235.89 Total Impact Points

Institutions

  • 2001–2014
    • Mayo Clinic - Rochester
      • • Department of Health Science Research
      • • Department of Gastroenterology and Hepatology
      Rochester, Minnesota, United States
  • 2010–2013
    • Imperial College London
      • • Department of Epidemiology and Biostatistics
      • • Department of Primary Care and Public Health
      London, ENG, United Kingdom
  • 2000–2013
    • Mayo Foundation for Medical Education and Research
      • • Division of Epidemiology
      • • Division of Nephrology and Hypertension
      • • Division of Gastroenterology and Hepatology
      • • Department of Laboratory Medicine
      • • Department of Health Sciences Research
      • • Department of Medical Genetics
      Rochester, MI, United States
  • 2012
    • Catalan Institute of Oncology
      • Cancer Epidemiology Research Programme (PREC)
      Badalona, Catalonia, Spain
    • University of Texas MD Anderson Cancer Center
      Houston, Texas, United States
  • 1993–2012
    • Johns Hopkins University
      • • Division of Gastroenterology
      • • Department of Epidemiology
      • • Department of Medicine
      Baltimore, Maryland, United States
  • 2011
    • Mario Negri Institute for Pharmacological Research
      • Department of Epidemiology
      Milano, Lombardy, Italy
  • 2009
    • National Institutes of Health
      • Division of Cancer Epidemiology and Genetics
      Bethesda, MD, United States
    • Hospital Clínic de Barcelona
      Barcino, Catalonia, Spain
  • 2007–2008
    • Washington University in St. Louis
      San Luis, Missouri, United States
  • 2001–2008
    • University of Iowa
      • • Department of Internal Medicine
      • • Department of Surgery
      Iowa City, IA, United States
  • 1995–2004
    • Johns Hopkins Medicine
      • • Department of Pathology
      • • Department of Epidemiology
      Baltimore, Maryland, United States
  • 1998–2000
    • Johns Hopkins Bloomberg School of Public Health
      • Department of Epidemiology
      Baltimore, Maryland, United States
  • 1999
    • University of Michigan
      • Division of Molecular Medicine & Genetics
      Ann Arbor, MI, United States
  • 1992
    • University of Helsinki
      • Department of Medical Genetics
      Helsinki, Province of Southern Finland, Finland