Publications

958 Publications visible to you, out of a total of 958

Abstract (Expand)

Dysregulation of apoptosis plays an important role in carcinogenesis. Therefore, apoptosis-associated genes like the death receptor 4 (DR4, TRAIL-R1) are interesting candidates for modifying the penetrance of breast and ovarian cancer in carriers of BRCA1 and BRCA2 mutations. The DR-4 haplotype 626C-683C [626C \textgreater G, Thr209Arg (rs4871857) and 683A \textgreater C, Glu228Ala (rs17088993)] has recently been linked to an increased risk of breast cancer. To evaluate whether DR4 626C \textgreater G or DR4 683A \textgreater C modifies the risk of breast or ovarian cancer in carriers of BRCA1 and BRCA2 mutations, we undertook a national multicenter study including data of 840 carriers of breast cancer gene (BRCA) mutations. DNA samples were collected from 12 German research centers between 1996 and 2005 and were genotyped by the Taqman allelic discrimination assay. The association between genotypes and incidence of breast or ovarian cancer data was evaluated using a Cox proportional hazards regression model. We found evidence for a significant association of DR4 683A \textgreater C with a higher risk for ovarian cancer in carriers of BRCA1 mutations [n = 557, hazard ratio 1.78 (1.24-2.55), p = 0.009]. Our results thus indicate that the DR4 683A \textgreater C variant modifies the risk of ovarian cancer in carriers of BRCA1 mutations.

Authors: Michelle G. Dick, Beatrix Versmold, Christoph Engel, Alfons Meindl, Norbert Arnold, Raymonda Varon-Mateeva, Christian Sutter, Dieter Niederacher, Helmut Deissler, Sabine Preisler-Adams, Karin Kast, Dieter Schäfer, Dorothea Gadzicki, Wolfram Heinritz, Barbara Wappenschmidt, Rita K. Schmutzler

Date Published: 15th Mar 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

AIMS: Infrared microspectroscopy (IR-MSP) has been proposed for automated histological tissue differentiation of unstained specimens based on chemical analysis of cell and extracellular constituents. This study aimed to determine the accuracy of IR-MSP-based histopathology of cervical carcinoma sections with complex tissue architecture under practically relevant testing conditions. METHODS AND RESULTS: In total, 46 regions of interest, covering an area of almost 50 mm(2) on sections derived from paraffin-embedded tissue of radical hysterectomy specimens, were analysed by IR-MSP (nominal resolution ~4.2 mum). More than 2.8 million pixel spectra that were processed using fuzzy c-means clustering followed by hierarchical cluster analysis permitted image segmentation regarding different biochemical properties. Linear image registration was applied to compare these segmentation results with manual labelling on haematoxylin and eosin-stained references (resolution ~0.7 mum). For recognition of nine tissue types, sensitivities were 42-91% and specificities were 79-100%, mostly being affected by peritumoral inflammatory responses. Algorithmic variation of the outline of dysplasia and carcinoma revealed a spatial preference of false values in tissue transition areas. CONCLUSIONS: This imaging technique has potential as a new method for tissue characterization; however, the recognition accuracy does not justify a pathologist-independent tissue analysis, and the application is only possible in combination with concomitant conventional histopathology.

Authors: J. Einenkel, U. D. Braumann, W. Steller, H. Binder, L. C. Horn

Date Published: 1st Mar 2012

Publication Type: Not specified

Human Diseases: cervical cancer

Abstract (Expand)

Diffuse large B-cell lymphoma is the most frequent type of B-cell lymphoma in adult patients but also occurs in children. Patients are currently assigned to therapy regimens based on arbitrarily chosen age limits only (eg, 18 or 60 years) and not biologically justified limits. A total of 364 diffuse large B-cell lymphomas and related mature aggressive B-cell lymphomas other than Burkitt lymphoma from all age groups were analyzed by comprehensive molecular profiling. The probability of several biologic features previously reported to be associated with poor prognosis in diffuse large B-cell lymphoma, such as ABC subtype, BCL2 expression, or cytogenetic complexity, increases with age at diagnosis. Similarly, various genetic features, such as IRF4 translocations, gains in 1q21, 18q21, 7p22, and 7q21, as well as changes in 3q27, including gains and translocations affecting the BCL6 locus, are significantly associated with patient age, but no cut-offs between age groups could be defined. If age was incorporated in multivariate analyses, genetic complexity lost its prognostic significance, whereas the prognostic impact of ABC subtype and age were additive. Our data indicate that aging is a major determinant of lymphoma biology. They challenge current concepts regarding both prognostic biomarkers and treatment stratification based on strict age cut-offs.

Authors: W. Klapper, M. Kreuz, C. W. Kohler, B. Burkhardt, M. Szczepanowski, I. Salaverria, M. Hummel, M. Loeffler, S. Pellissery, W. Woessmann, C. Schwanen, L. Trumper, S. Wessendorf, R. Spang, D. Hasenclever, R. Siebert

Date Published: 23rd Feb 2012

Publication Type: Not specified

Human Diseases: diffuse large B-cell lymphoma

Abstract (Expand)

INTRODUCTION Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancerr have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2). METHODS To evaluate whether these single nucleotide polymorphisms (SNPs) are associated with breast cancer risk for BRCA1 and BRCA2 carriers, we genotyped these SNPs in 12,599 BRCA1 and 7,132 BRCA2 mutation carriers and analysed the associations with breast cancer risk within a retrospective likelihood framework. RESULTS Only SNP rs10771399 near PTHLH was associated with breast cancer risk for BRCA1 mutation carriers (per-allele hazard ratio (HR) = 0.87, 95% CI: 0.81 to 0.94, P-trend = 3 \times 10-4). The association was restricted to mutations proven or predicted to lead to absence of protein expression (HR = 0.82, 95% CI: 0.74 to 0.90, P-trend = 3.1 \times 10-5, P-difference = 0.03). Four SNPs were associated with the risk of breast cancer for BRCA2 mutation carriers: rs10995190, P-trend = 0.015; rs1011970, P-trend = 0.048; rs865686, 2df-P = 0.007; rs1292011 2df-P = 0.03. rs10771399 (PTHLH) was predominantly associated with estrogen receptor (ER)-negative breast cancer for BRCA1 mutation carriers (HR = 0.81, 95% CI: 0.74 to 0.90, P-trend = 4 \times 10-5) and there was marginal evidence of association with ER-negative breast cancer for BRCA2 mutation carriers (HR = 0.78, 95% CI: 0.62 to 1.00, P-trend = 0.049). CONCLUSIONS The present findings, in combination with previously identified modifiers of risk, will ultimately lead to more accurate risk prediction and an improved understanding of the disease etiology in BRCA1 and BRCA2 mutation carriers.

Authors: Antonis C. Antoniou, Karoline B. Kuchenbaecker, Penny Soucy, Jonathan Beesley, Xiaoqing Chen, Lesley McGuffog, Andrew Lee, Daniel Barrowdale, Sue Healey, Olga M. Sinilnikova, Maria A. Caligo, Niklas Loman, Katja Harbst, Annika Lindblom, Brita Arver, Richard Rosenquist, Per Karlsson, Kate Nathanson, Susan Domchek, Tim Rebbeck, Anna Jakubowska, Jan Lubinski, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowowcka-Perłowska, Ana Osorio, Mercedes Durán, Raquel Andrés, Javier Benítez, Ute Hamann, Frans B. Hogervorst, Theo A. van Os, Senno Verhoef, Hanne E. J. Meijers-Heijboer, Juul Wijnen, Encarna B. Gómez Garcia, Marjolijn J. Ligtenberg, Mieke Kriege, J. Margriet Collée, Margreet G. E. M. Ausems, Jan C. Oosterwijk, Susan Peock, Debra Frost, Steve D. Ellis, Radka Platte, Elena Fineberg, D. Gareth Evans, Fiona Lalloo, Chris Jacobs, Ros Eeles, Julian Adlard, Rosemarie Davidson, Trevor Cole, Jackie Cook, Joan Paterson, Fiona Douglas, Carole Brewer, Shirley Hodgson, Patrick J. Morrison, Lisa Walker, Mark T. Rogers, Alan Donaldson, Huw Dorkins, Andrew K. Godwin, Betsy Bove, Dominique Stoppa-Lyonnet, Claude Houdayer, Bruno Buecher, Antoine de Pauw, Sylvie Mazoyer, Alain Calender, Mélanie Léoné, Brigitte Bressac-de Paillerets, Olivier Caron, Hagay Sobol, Marc Frenay, Fabienne Prieur, Sandra U. Ferrer, Isabelle Mortemousque, Saundra Buys, Mary Daly, Alexander Miron, Mary U. Terry, John L. Hopper, Esther M. John, Melissa Southey, David Goldgar, Christian F. Singer, Anneliese Fink-Retter, Muy-Kheng Tea, Daphne U. Kaulich, Thomas V. Hansen, Finn C. Nielsen, Rosa B. Barkardottir, Mia Gaudet, Tomas Kirchhoff, Vijai Joseph, Ana Dutra-Clarke, Kenneth Offit, Marion Piedmonte, Judy Kirk, David Cohn, Jean Hurteau, John Byron, James Fiorica, Amanda E. Toland, Marco Montagna, Cristina Oliani, Evgeny Imyanitov, Claudine Isaacs, Laima Tihomirova, Ignacio Blanco, Conxi Lazaro, Alex Teulé, J. Del Valle, Simon A. Gayther, Kunle Odunsi, Jenny Gross, Beth Y. Karlan, Edith Olah, Soo-Hwang Teo, Patricia A. Ganz, Mary S. Beattie, Cecelia M. Dorfling, Elizabeth U. van Rensburg, Orland Diez, Ava Kwong, Rita K. Schmutzler, Barbara Wappenschmidt, Christoph Engel, Alfons Meindl, Nina Ditsch, Norbert Arnold, Simone Heidemann, Dieter Niederacher, Sabine Preisler-Adams, Dorothea Gadzicki, Raymonda Varon-Mateeva, Helmut Deissler, Andrea Gehrig, Christian Sutter, Karin Kast, Britta Fiebig, Dieter Schäfer, Trinidad Caldes, Miguel de La Hoya, Heli Nevanlinna, Taru A. Muranen, Bernard Lespérance, Amanda B. Spurdle, Susan L. Neuhausen, Yuan C. Ding, Xianshu Wang, Zachary Fredericksen, Vernon S. Pankratz, Noralane M. Lindor, Paolo Peterlongo, Siranoush Manoukian, Bernard Peissel, Daniela Zaffaroni, Bernardo Bonanni, Loris Bernard, Riccardo Dolcetti, Laura Papi, Laura Ottini, Paolo Radice, Mark H. Greene, Jennifer T. Loud, Irene L. Andrulis, Hilmi Ozcelik, Anna U. Mulligan, Gord Glendon, Mads Thomassen, Anne-Marie Gerdes, Uffe B. Jensen, Anne-Bine Skytte, Torben A. Kruse, Georgia Chenevix-Trench, Fergus J. Couch, Jacques Simard, Douglas F. Easton

Date Published: 1st Feb 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

Dyslexia is a developmental disorder characterised by extensive difficulties in the acquisition of reading or spelling. Genetic influence is estimated at 50-70%. However, the link between genetic variants and phenotypic deficits is largely unknown. Our aim was to investigate a role of genetic variants of FOXP2, a prominent speech and language gene, in dyslexia using imaging genetics. This technique combines functional magnetic resonance imaging (fMRI) and genetics to investigate relevance of genetic variants on brain activation. To our knowledge, this represents the first usage of fMRI-based imaging genetics in dyslexia. In an initial case/control study (n = 245) for prioritisation of FOXP2 polymorphisms for later use in imaging genetics, nine SNPs were selected. A non-synonymously coding mutation involved in verbal dyspraxia was also investigated. SNP rs12533005 showed nominally significant association with dyslexia (genotype GG odds ratio recessive model = 2.1 (95% confidence interval 1.1-3.9), P = 0.016). A correlated SNP was associated with altered expression of FOXP2 in vivo in human hippocampal tissue. Therefore, influence of the rs12533005-G risk variant on brain activity was studied. fMRI revealed a significant main effect for the factor ’genetic risk’ in a temporo-parietal area involved in phonological processing as well as a significant interaction effect between the factors ’disorder’ and ’genetic risk’ in activation of inferior frontal brain areas. Hence, our data may hint at a role of FOXP2 genetic variants in dyslexia-specific brain activation and demonstrate use of imaging genetics in dyslexia research. Dyslexia is a developmental disorder characterised by extensive difficulties in the acquisition of reading or spelling. Genetic influence is estimated at 50-70%. However, the link between genetic variants and phenotypic deficits is largely unknown. Our aim was to investigate a role of genetic variants of FOXP2, a prominent speech and language gene, in dyslexia using imaging genetics. This technique combines functional magnetic resonance imaging (fMRI) and genetics to investigate relevance of genetic variants on brain activation. To our knowledge, this represents the first usage of fMRI-based imaging genetics in dyslexia. In an initial case/control study (n = 245) for prioritisation of FOXP2 polymorphisms for later use in imaging genetics, nine SNPs were selected. A non-synonymously coding mutation involved in verbal dyspraxia was also investigated. SNP rs12533005 showed nominally significant association with dyslexia (genotype GG odds ratio recessive model = 2.1 (95% confidence interval 1.1-3.9), P = 0.016). A correlated SNP was associated with altered expression of FOXP2 in vivo in human hippocampal tissue. Therefore, influence of the rs12533005-G risk variant on brain activity was studied. fMRI revealed a significant main effect for the factor ’genetic risk’ in a temporo-parietal area involved in phonological processing as well as a significant interaction effect between the factors ’disorder’ and ’genetic risk’ in activation of inferior frontal brain areas. Hence, our data may hint at a role of FOXP2 genetic variants in dyslexia-specific brain activation and demonstrate use of imaging genetics in dyslexia research.

Authors: Arndt Wilcke, Carolin Ligges, Jana Burkhardt, Michael Alexander, Christiane Wolf, Elfi Quente, Peter Ahnert, Per Hoffmann, Albert Becker, Bertram Müller-Myhsok, Sven Cichon, Johannes Boltze, Holger Kirsten

Date Published: 1st Feb 2012

Publication Type: Journal article

Abstract (Expand)

BACKGROUND Previously, small studies have found that BRCA1 and BRCA2 breast tumors differ in their pathology. Analysis of larger datasets of mutation carriers should allow further tumor characterization.. METHODS We used data from 4,325 BRCA1 and 2,568 BRCA2 mutation carriers to analyze the pathology of invasive breast, ovarian, and contralateral breast cancers. RESULTS There was strong evidence that the proportion of estrogen receptor (ER)-negative breast tumors decreased with age at diagnosis among BRCA1 (P-trend = 1.2 \times 10(-5)), but increased with age at diagnosis among BRCA2, carriers (P-trend = 6.8 \times 10(-6)). The proportion of triple-negative tumors decreased with age at diagnosis in BRCA1 carriers but increased with age at diagnosis of BRCA2 carriers. In both BRCA1 and BRCA2 carriers, ER-negative tumors were of higher histologic grade than ER-positive tumors (grade 3 vs. grade 1; P = 1.2 \times 10(-13) for BRCA1 and P = 0.001 for BRCA2). ER and progesterone receptor (PR) expression were independently associated with mutation carrier status [ER-positive odds ratio (OR) for BRCA2 = 9.4, 95% CI: 7.0-12.6 and PR-positive OR = 1.7, 95% CI: 1.3-2.3, under joint analysis]. Lobular tumors were more likely to be BRCA2-related (OR for BRCA2 = 3.3, 95% CI: 2.4-4.4; P = 4.4 \times 10(-14)), and medullary tumors BRCA1-related (OR for BRCA2 = 0.25, 95% CI: 0.18-0.35; P = 2.3 \times 10(-15)). ER-status of the first breast cancer was predictive of ER-status of asynchronous contralateral breast cancer (P = 0.0004 for BRCA1; P = 0.002 for BRCA2). There were no significant differences in ovarian cancer morphology between BRCA1 and BRCA2 carriers (serous: 67%; mucinous: 1%; endometrioid: 12%; clear-cell: 2%). CONCLUSIONS/IMPACT: Pathologic characteristics of BRCA1 and BRCA2 tumors may be useful for improving risk-prediction algorithms and informing clinical strategies for screening and prophylaxis.

Authors: Nasim Mavaddat, Daniel Barrowdale, Irene L. Andrulis, Susan M. Domchek, Diana Eccles, Heli Nevanlinna, Susan J. Ramus, Amanda Spurdle, Mark Robson, Mark Sherman, Anna Marie Mulligan, Fergus J. Couch, Christoph Engel, Lesley McGuffog, Sue Healey, Olga M. Sinilnikova, Melissa C. Southey, Mary Beth Terry, David Goldgar, Frances O’Malley, Esther M. John, Ramunas Janavicius, Laima Tihomirova, Thomas v. O. Hansen, Finn C. Nielsen, Ana Osorio, Alexandra Stavropoulou, Javier Benítez, Siranoush Manoukian, Bernard Peissel, Monica Barile, Sara Volorio, Barbara Pasini, Riccardo Dolcetti, Anna Laura Putignano, Laura Ottini, Paolo Radice, Ute Hamann, Muhammad U. Rashid, Frans B. Hogervorst, Mieke Kriege, Rob B. van der Luijt, Susan Peock, Debra Frost, D. Gareth Evans, Carole Brewer, Lisa Walker, Mark T. Rogers, Lucy E. Side, Catherine Houghton, JoEllen Weaver, Andrew K. Godwin, Rita K. Schmutzler, Barbara Wappenschmidt, Alfons Meindl, Karin Kast, Norbert Arnold, Dieter Niederacher, Christian Sutter, Helmut Deissler, Doroteha Gadzicki, Sabine Preisler-Adams, Raymonda Varon-Mateeva, Ines Schönbuchner, Heidrun Gevensleben, Dominique Stoppa-Lyonnet, Muriel Belotti, Laure Barjhoux, Claudine Isaacs, Beth N. Peshkin, Trinidad Caldes, Miguel de La Hoya, Carmen Cañadas, Tuomas Heikkinen, Päivi Heikkilä, Kristiina Aittomäki, Ignacio Blanco, Conxi Lazaro, Joan Brunet, Bjarni A. Agnarsson, Adalgeir Arason, Rosa B. Barkardottir, Martine Dumont, Jacques Simard, Marco Montagna, Simona Agata, Emma D’Andrea, Max Yan, Stephen Fox, Timothy R. Rebbeck, Wendy Rubinstein, Nadine Tung, Judy E. Garber, Xianshu Wang, Zachary Fredericksen, Vernon S. Pankratz, Noralane M. Lindor, Csilla Szabo, Kenneth Offit, Rita Sakr, Mia M. Gaudet, Christian F. Singer, Muy-Kheng Tea, Christine Rappaport, Phuong L. Mai, Mark H. Greene, Anna Sokolenko, Evgeny Imyanitov, Amanda Ewart Toland, Leigha Senter, Kevin Sweet, Mads Thomassen, Anne-Marie Gerdes, Torben Kruse, Maria Caligo, Paolo Aretini, Johanna Rantala, Anna von Wachenfeld, Karin Henriksson, Linda Steele, Susan L. Neuhausen, Robert Nussbaum, Mary Beattie, Kunle Odunsi, Lara Sucheston, Simon A. Gayther, Kate Nathanson, Jenny Gross, Christine Walsh, Beth Karlan, Georgia Chenevix-Trench, Douglas F. Easton, Antonis C. Antoniou

Date Published: 5th Jan 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

Heme and its breakdown products CO, Fe, and bilirubin are being recognized as signaling molecules or even therapeutic agents, but also exert adverse effects when released at high concentrations. Manipulating the pathway confers protection in rodent sepsis models via both control of free heme and formation of its first and higher-order products. Thus, regulatory elements present in human heme oxygenase 1 (HMOX1) and biliverdin reductases (BLVRA/B) genes might impact outcome. We tested whether a highly polymorphic (GT)n microsatellite and single-nucleotide polymorphisms in HMOX1 and BLVRA/B genes are associated with outcome of sepsis. Two cohorts (n = 430 and 398 patients) with severe sepsis were screened for single-nucleotide polymorphisms and/or the microsatellite by fragment length analysis and genotyping techniques. Heme oxygenase 1 plasma levels were determined in additional patients with severe sepsis (n = 92) by enzyme-linked immunosorbent assay. Based on mean Sepsis-related Organ Failure Assessment scores, patients homozygous for rs2071746 A allele or medium length (GT)n microsatellites of HMOX1 showed higher 28-day mortality (P = 0.047 and P = 0.033) in one cohort compared with other genotypes, whereas 90-day mortality rates showed no association. The T allele was less frequently observed in both cohorts than would be expected according to Hardy-Weinberg equilibrium. Heme oxygenase 1 plasma levels were elevated in septic patients, independent of the genotype. Single-nucleotide polymorphisms within BLVRA/B showed no association with outcome. Short (GT)n repeats that are in linkage disequilibrium with the T allele of rs2071746 in HMOX1 are associated with favorable outcome, whereas no association with gene variants of BLVRA/B, involved in the generation of higher-order metabolites, was noticed.

Authors: Christoph Sponholz, Klaus Huse, Marcel Kramer, Evangelos J. Giamarellos-Bourboulis, Ralf A. Claus, Anna Kern, Christoph Engel, Evelyn Kuhnt, Michael Kiehntopf, Christina Routsi, Vassiliki Mylona, Iraklis Tsangaris, Stefan H. Heinemann, Konrad Reinhart, Matthias Platzer, Michael Bauer

Date Published: 2012

Publication Type: Journal article

Human Diseases: disease by infectious agent

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