23 results on '"Gsur, Andrea"'
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2. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries
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Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike
- Abstract
Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.
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- 2023
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3. MDR1 gene expression and its clinical relevance in primary gastric carcinomas
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Wallner, Josef, Depisch, Dieter, Gsur, Andrea, Gotzl, Martin, Haider, Karin, and Pirker, Robert
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Stomach cancer ,Drug resistance -- Genetic aspects ,Glycoproteins -- Physiological aspects ,Tumor proteins -- Physiological aspects ,Gene expression -- Physiological aspects ,Health - Abstract
Background. Drug resistance remains a major problem in gastric carcinomas. To evaluate the mechanisms involved in this resistance, the authors determined the expression of the MDR1 gene, a multidrug resistance gene, in primary gastric carcinomas. Methods. MDR1 RNA levels of gastric carcinoma specimens (n = 22) were determined by slot blot analysis. An MDR1 cDNA (probe 5A) was used for the hybridization. Results. MDR1 RNA was detected in 4l% of the gastric carcinomas, with high levels in 18% of the specimens. No expression of the MDR3 gene was observed in these tumors. MDR1 gene expression was independent of patient age, tumor localization, and lymph node involvement. However, MDR1 RNA expression was less frequent in locally advanced tumors and was absent in the primary tumors of all six patients who had distant metastases. Conclusions. The data indicate that multidrug-resistant cells are present in primary gastric carcinomas and suggest that multidrug resistance might contribute to the clinical drug resistance of these tumors. Cancer 1993; 71:667-71.
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- 1993
4. Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease
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Zheng, Tenghao, Ellinghaus, David, Juzenas, Simonas, Cossais, Francois, Burmeister, Greta, Mayr, Gabriele, Jørgensen, Isabella Friis, Teder-Laving, Maris, Skogholt, Anne Heidi, Chen, Sisi, Strege, Peter R, Ito, Go, Banasik, Karina, Becker, Thomas, Bokelmann, Frank, Brunak, Søren, Buch, Stephan, Clausnitzer, Hartmut, Datz, Christian, Degenhardt, Frauke, Doniec, Marek, Erikstrup, Christian, Esko, Tõnu, Forster, Michael, Frey, Norbert, Fritsche, Lars G, Gabrielsen, Maiken Elvestad, Gra¨ßle, Tobias, Gsur, Andrea, Gross, Justus, Hampe, Jochen, Hendricks, Alexander, Hinz, Sebastian, Hveem, Kristian, Jongen, Johannes, Junker, Ralf, Karlsen, Tom Hemming, Hemmrich-Stanisak, Georg, Kruis, Wolfgang, Kupcinskas, Juozas, Laubert, Tilman, Rosenstiel, Philip C, Ro¨cken, Christoph, Laudes, Matthias, Leendertz, Fabian H, Lieb, Wolfgang, Limperger, Verena, Margetis, Nikolaos, Ma¨tz-Rensing, Kerstin, Németh, Christopher Georg, Ness-Jensen, Eivind, Nowak-Go¨ttl, Ulrike, Pandit, Anita, Pedersen, Ole Birger, Peleikis, Hans Gu¨nter, Peuker, Kenneth, Rodriguez, Cristina Leal, Ru¨hlemann, Malte Christoph, Schniewind, Bodo, Schulzky, Martin, Skieceviciene, Jurgita, Tepel, Ju¨rgen, Thomas, Laurent, Uellendahl-Werth, Florian, Ullum, Henrik, Vogel, Ilka, Volzke, Henry, von Fersen, Lorenzo, von Scho¨nfels, Witigo, Vanderwerff, Brett, Wilking, Julia, Wittig, Michael, Zeissig, Sebastian, Zobel, Myrko, Zawistowski, Matthew, Vacic, Vladimir, Sazonova, Olga, Noblin, Elizabeth S, Farrugia, Gianrico, Beyder, Arthur, Wedel, Thilo, Kahlke, Volker, Schafmayer, Clemens, D'Amato, Mauro, and Franke, Andre
- Abstract
ObjectiveHaemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date.DesignWe conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry.ResultsWe demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix.ConclusionHEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction.
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- 2021
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5. Genetic architectures of proximal and distal colorectal cancer are partly distinct
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Huyghe, Jeroen R, Harrison, Tabitha A, Bien, Stephanie A, Hampel, Heather, Figueiredo, Jane C, Schmit, Stephanie L, Conti, David V, Chen, Sai, Qu, Conghui, Lin, Yi, Barfield, Richard, Baron, John A, Cross, Amanda J, Diergaarde, Brenda, Duggan, David, Harlid, Sophia, Imaz, Liher, Kang, Hyun Min, Levine, David M, Perduca, Vittorio, Perez-Cornago, Aurora, Sakoda, Lori C, Schumacher, Fredrick R, Slattery, Martha L, Toland, Amanda E, van Duijnhoven, Fra¨nzel J B, Van Guelpen, Bethany, Agudo, Antonio, Albanes, Demetrius, Alonso, M Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Banbury, Barbara L, Bassik, Michael C, Berndt, Sonja I, Bézieau, Stéphane, Bishop, D Timothy, Boehm, Juergen, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D, Burnett-Hartman, Andrea, Caan, Bette J, Campbell, Peter T, Carr, Prudence R, Castells, Antoni, Castellví-Bel, Sergi, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Curtis, Keith R, de la Chapelle, Albert, Easton, Douglas F, English, Dallas R, Feskens, Edith J M, Gala, Manish, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Goodman, Phyllis J, Grady, William M, Grove, John S, Gsur, Andrea, Gunter, Marc J, Haile, Robert W, Hampe, Jochen, Hoffmeister, Michael, Hopper, John L, Hsu, Wan-Ling, Huang, Wen-Yi, Hudson, Thomas J, Jenab, Mazda, Jenkins, Mark A, Joshi, Amit D, Keku, Temitope O, Kooperberg, Charles, Ku¨hn, Tilman, Ku¨ry, Sébastien, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Christopher I, Li, Li, Lieb, Wolfgang, Lindblom, Annika, Lindor, Noralane M, Ma¨nnisto¨, Satu, Markowitz, Sanford D, Milne, Roger L, Moreno, Lorena, Murphy, Neil, Nassir, Rami, Offit, Kenneth, Ogino, Shuji, Panico, Salvatore, Parfrey, Patrick S, Pearlman, Rachel, Pharoah, Paul D P, Phipps, Amanda I, Platz, Elizabeth A, Potter, John D, Prentice, Ross L, Qi, Lihong, Raskin, Leon, Rennert, Gad, Rennert, Hedy S, Riboli, Elio, Schafmayer, Clemens, Schoen, Robert E, Seminara, Daniela, Song, Mingyang, Su, Yu-Ru, Tangen, Catherine M, Thibodeau, Stephen N, Thomas, Duncan C, Trichopoulou, Antonia, Ulrich, Cornelia M, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Abecasis, Goncalo R, Nickerson, Deborah A, Scacheri, Peter C, Kundaje, Anshul, Casey, Graham, Gruber, Stephen B, Hsu, Li, Moreno, Victor, Hayes, Richard B, Newcomb, Polly A, and Peters, Ulrike
- Abstract
ObjectiveAn understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined.DesignTo identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling.ResultsWe identified 13 loci that reached genome-wide significance (p<5×10−8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer.ConclusionGenetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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- 2021
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6. Modifiable pathways for colorectal cancer: a mendelian randomisation analysis
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Cornish, Alex J, Law, Philip J, Timofeeva, Maria, Palin, Kimmo, Farrington, Susan M, Palles, Claire, Jenkins, Mark A, Casey, Graham, Brenner, Hermann, Chang-Claude, Jenny, Hoffmeister, Michael, Kirac, Iva, Maughan, Tim, Brezina, Stefanie, Gsur, Andrea, Cheadle, Jeremy P, Aaltonen, Lauri A, Tomlinson, Ian, Dunlop, Malcolm G, and Houlston, Richard S
- Abstract
Epidemiological studies have linked lifestyle, cardiometabolic, reproductive, developmental, and inflammatory factors to the risk of colorectal cancer. However, which specific factors affect risk and the strength of these effects are unknown. We aimed to examine the relationship between potentially modifiable risk factors and colorectal cancer.
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- 2020
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7. Characterization of additive gene–environment interactions for colorectal cancer risk
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Thomas, Claire E, Lin, Yi, Kim, Michelle, Kawaguchi, Eric S, Qu, Conghui, Um, Caroline Y, Lynch, Brigid M, Van Guelpen, Bethany, Tsilidis, Kostas, Carreras-Torres, Robert, van Duijnhoven, Franzel JB, Sakoda, Lori C, Campbell, Peter T, Tian, Yu, Chang-Claude, Jenny, Bézieau, Stéphane, Budiarto, Arif, Palmer, Julie R, Newcomb, Polly A, Casey, Graham, Le Marchand, Loic, Giannakis, Marios, Li, Christopher I, Gsur, Andrea, Newton, Christina, Obón-Santacana, Mireia, Moreno, Victor, Vodicka, Pavel, Brenner, Hermann, Hoffmeister, Michael, Pellatt, Andrew J, Schoen, Robert E, Dimou, Niki, Murphy, Neil, Gunter, Marc J, Castellví-Bel, Sergi, Figueiredo, Jane C, Chan, Andrew T, Song, Mingyang, Li, Li, Bishop, D Timothy, Gruber, Stephen B, Baurley, James W, Bien, Stephanie A, Conti, David V, Huyghe, Jeroen R, Kundaje, Anshul, Su, Yu-Ru, Wang, Jun, Keku, Temitope O, Woods, Michael O, Berndt, Sonja I, Chanock, Stephen J, Tangen, Catherine M, Wolk, Alicja, Burnett-Hartman, Andrea, Wu, Anna H, White, Emily, Devall, Matthew A., Díez-Obrero, Virginia, Drew, David A, Giovannucci, Edward, Hidaka, Akihisa, Kim, Andre E, Lewinger, Juan Pablo, Morrison, John, Ose, Jennifer, Papadimitriou, Nikos, Pardamean, Bens, Peoples, Anita R., Ruiz-Narvaez, Edward A., Shcherbina, Anna, Stern, Mariana C, Chen, Xuechen, Thomas, Duncan C, Platz, Elizabeth A, Gauderman, W James, Peters, Ulrike, and Hsu, Li
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- 2024
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8. Using fecal immmunochemical cartridges for gut microbiome analysis within a colorectal cancer screening program
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Brezina, Stefanie, Borkovec, Martin, Baierl, Andreas, Bastian, Fabienne, Futschik, Andreas, Gasche, Nikolaus, Gruenberger, Thomas, Hallas, Michael, Jannsen, Christian, Leeb, Gernot, Lutz, Rebecca, Sladek, Barbara, and Gsur, Andrea
- Abstract
ABSTRACTThe colorectal cancer (CRC) screening program B-PREDICT is an invited two-stage screening project using a fecal immunochemical test (FIT) for initial screening followed by a colonoscopy for those with a positive FIT. Since the gut microbiome likely plays a role in the etiology of CRC, microbiome-based biomarkers in combination with FIT could be a promising tool for optimizing CRC screening. Therefore, we evaluated the usability of FIT cartridges for microbiome analysis and compared it to Stool Collection and Preservation Tubes. Corresponding FIT cartridges as well as Stool Collection and Preservation Tubes were collected from participants of the B-PREDICT screening program to perform 16S rRNA gene sequencing. We calculated intraclass correlation coefficients (ICCs) based on center log ratio transformed abundances and used ALDEx2 to test for significantly differential abundant taxa between the two sample types. Additionally, FIT and Stool Collection and Preservation Tube triplicate samples were obtained from volunteers to estimate variance components of microbial abundances. FIT and Preservation Tube samples produce highly similar microbiome profiles which cluster according to subject. Significant differences between the two sample types can be found for abundances of some bacterial taxa (e.g. 33 genera) but are minor compared to the differences between the subjects. Analysis of triplicate samples revealed slightly worse repeatability of results for FIT than for Preservation Tube samples. Our findings indicate that FIT cartridges are appropriate for gut microbiome analysis nested within CRC screening programs.
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- 2023
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9. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries
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Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike
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- 2023
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10. Genome-wide association analysis of diverticular disease points towards neuromuscular, connective tissue and epithelial pathomechanisms
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Schafmayer, Clemens, Harrison, James William, Buch, Stephan, Lange, Christina, Reichert, Matthias C, Hofer, Philipp, Cossais, Francois, Kupcinskas, Juozas, von Scho¨nfels, Witigo, Schniewind, Bodo, Kruis, Wolfgang, Tepel, Ju¨rgen, Zobel, Myrko, Rosendahl, Jonas, Jacobi, Thorsten, Walther-Berends, Andreas, Schroeder, Michael, Vogel, Ilka, Sergeev, Petr, Boedeker, Hans, Hinrichsen, Holger, Volk, Andreas, Erk, Jens-Uwe, Burmeister, Greta, Hendricks, Alexander, Hinz, Sebastian, Wolff, Sebastian, Bo¨ttner, Martina, Wood, Andrew R, Tyrrell, Jessica, Beaumont, Robin N, Langheinrich, Melanie, Kucharzik, Torsten, Brezina, Stefanie, Huber-Scho¨nauer, Ursula, Pietsch, Leonora, Noack, Laura Sophie, Brosch, Mario, Herrmann, Alexander, Thangapandi, Raghavan Veera, Schimming, Hans Wolfgang, Zeissig, Sebastian, Palm, Stefan, Focke, Gerd, Andreasson, Anna, Schmidt, Peter T, Weitz, Juergen, Krawczak, Michael, Vo¨lzke, Henry, Leeb, Gernot, Michl, Patrick, Lieb, Wolfgang, Gru¨tzmann, Robert, Franke, Andre, Lammert, Frank, Becker, Thomas, Kupcinskas, Limas, D’Amato, Mauro, Wedel, Thilo, Datz, Christian, Gsur, Andrea, Weedon, Michael N, and Hampe, Jochen
- Abstract
ObjectiveDiverticular disease is a common complex disorder characterised by mucosal outpouchings of the colonic wall that manifests through complications such as diverticulitis, perforation and bleeding. We report the to date largest genome-wide association study (GWAS) to identify genetic risk factors for diverticular disease.DesignDiscovery GWAS analysis was performed on UK Biobank imputed genotypes using 31 964 cases and 419 135 controls of European descent. Associations were replicated in a European sample of 3893 cases and 2829 diverticula-free controls and evaluated for risk contribution to diverticulitis and uncomplicated diverticulosis. Transcripts at top 20 replicating loci were analysed by real-time quatitative PCR in preparations of the mucosal, submucosal and muscular layer of colon. The localisation of expressed protein at selected loci was investigated by immunohistochemistry.ResultsWe discovered 48 risk loci, of which 12 are novel, with genome-wide significance and consistent OR in the replication sample. Nominal replication (p<0.05) was observed for 27 loci, and additional 8 in meta-analysis with a population-based cohort. The most significant novel risk variant rs9960286 is located near CTAGE1with a p value of 2.3×10−10and 0.002 (ORallelic=1.14 (95% CI 1.05 to 1.24)) in the replication analysis. Four loci showed stronger effects for diverticulitis, PHGR1(OR 1.32, 95% CI 1.12 to 1.56), FAM155A-2(OR 1.21, 95% CI 1.04 to 1.42), CALCB(OR 1.17, 95% CI 1.03 to 1.33) and S100A10(OR 1.17, 95% CI 1.03 to 1.33).ConclusionIn silico analyses point to diverticulosis primarily as a disorder of intestinal neuromuscular function and of impaired connective fibre support, while an additional diverticulitis risk might be conferred by epithelial dysfunction.
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- 2019
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11. Discovery of common and rare genetic risk variants for colorectal cancer
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Huyghe, Jeroen R., Bien, Stephanie A., Harrison, Tabitha A., Kang, Hyun Min, Chen, Sai, Schmit, Stephanie L., Conti, David V., Qu, Conghui, Jeon, Jihyoun, Edlund, Christopher K., Greenside, Peyton, Wainberg, Michael, Schumacher, Fredrick R., Smith, Joshua D., Levine, David M., Nelson, Sarah C., Sinnott-Armstrong, Nasa A., Albanes, Demetrius, Alonso, M. Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Bamia, Christina, Banbury, Barbara L., Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Boehm, Juergen, Boeing, Heiner, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D., Burnett-Hartman, Andrea, Butterbach, Katja, Caan, Bette J., Campbell, Peter T., Carlson, Christopher S., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chirlaque, Maria-Dolores, Cho, Sang Hee, Connolly, Charles M., Cross, Amanda J., Cuk, Katarina, Curtis, Keith R., de la Chapelle, Albert, Doheny, Kimberly F., Duggan, David, Easton, Douglas F., Elias, Sjoerd G., Elliott, Faye, English, Dallas R., Feskens, Edith J. M., Figueiredo, Jane C., Fischer, Rocky, FitzGerald, Liesel M., Forman, David, Gala, Manish, Gallinger, Steven, Gauderman, W. James, Giles, Graham G., Gillanders, Elizabeth, Gong, Jian, Goodman, Phyllis J., Grady, William M., Grove, John S., Gsur, Andrea, Gunter, Marc J., Haile, Robert W., Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Hayes, Richard B., Hofer, Philipp, Hoffmeister, Michael, Hopper, John L., Hsu, Wan-Ling, Huang, Wen-Yi, Hudson, Thomas J., Hunter, David J., Ibañez-Sanz, Gemma, Idos, Gregory E., Ingersoll, Roxann, Jackson, Rebecca D., Jacobs, Eric J., Jenkins, Mark A., Joshi, Amit D., Joshu, Corinne E., Keku, Temitope O., Key, Timothy J., Kim, Hyeong Rok, Kobayashi, Emiko, Kolonel, Laurence N., Kooperberg, Charles, Kühn, Tilman, Küry, Sébastien, Kweon, Sun-Seog, Larsson, Susanna C., Laurie, Cecelia A., Le Marchand, Loic, Leal, Suzanne M., Lee, Soo Chin, Lejbkowicz, Flavio, Lemire, Mathieu, Li, Christopher I., Li, Li, Lieb, Wolfgang, Lin, Yi, Lindblom, Annika, Lindor, Noralane M., Ling, Hua, Louie, Tin L., Männistö, Satu, Markowitz, Sanford D., Martín, Vicente, Masala, Giovanna, McNeil, Caroline E., Melas, Marilena, Milne, Roger L., Moreno, Lorena, Murphy, Neil, Myte, Robin, Naccarati, Alessio, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Onland-Moret, N. Charlotte, Pardini, Barbara, Parfrey, Patrick S., Pearlman, Rachel, Perduca, Vittorio, Pharoah, Paul D. P., Pinchev, Mila, Platz, Elizabeth A., Prentice, Ross L., Pugh, Elizabeth, Raskin, Leon, Rennert, Gad, Rennert, Hedy S., Riboli, Elio, Rodríguez-Barranco, Miguel, Romm, Jane, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Seminara, Daniela, Shah, Mitul, Shelford, Tameka, Shin, Min-Ho, Shulman, Katerina, Sieri, Sabina, Slattery, Martha L., Southey, Melissa C., Stadler, Zsofia K., Stegmaier, Christa, Su, Yu-Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Thomas, Sushma S., Toland, Amanda E., Trichopoulou, Antonia, Ulrich, Cornelia M., Van Den Berg, David J., van Duijnhoven, Franzel J. B., Van Guelpen, Bethany, van Kranen, Henk, Vijai, Joseph, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Win, Aung Ko, Wolf, C. Roland, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zaidi, Syed H., Zanke, Brent W., Zhang, Qing, Zheng, Wei, Scacheri, Peter C., Potter, John D., Bassik, Michael C., Kundaje, Anshul, Casey, Graham, Moreno, Victor, Abecasis, Goncalo R., Nickerson, Deborah A., Gruber, Stephen B., Hsu, Li, and Peters, Ulrike
- Abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P<5 × 10−8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
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- 2019
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12. The Immunome of Colon Cancer: Functional In SilicoAnalysis of Antigenic Proteins Deduced from IgG Microarray Profiling
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Luna Coronell, Johana A., Sergelen, Khulan, Hofer, Philipp, Gyurján, István, Brezina, Stefanie, Hettegger, Peter, Leeb, Gernot, Mach, Karl, Gsur, Andrea, and Weinhäusel, Andreas
- Abstract
Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer(CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 “CRC genes.” These data indicate that immunomicsprofiling on protein microarraysis able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.
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- 2018
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13. Coffee consumption induces GSTP in plasma and protects lymphocytes against (±)-anti-benzo[a]pyrene-7,8-dihydrodiol-9,10-epoxide induced DNA-damage: Results of controlled human intervention trials
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Steinkellner, Hans, Hoelzl, Christine, Uhl, Maria, Cavin, Christophe, Haidinger, Gerald, Gsur, Andrea, Schmid, Rainer, Kundi, Michael, Bichler, Julia, and Knasmüller, Siegfried
- Abstract
A number of animal studies indicate that coffee protects against chemical induction of cancer; also human studies suggest that coffee consumption is inversely related with the incidence of different forms of cancer. The protective effects were attributed to induction of glutathione-S-transferases (GSTs) and aim of the present human study was to find out if coffee causes induction of GSTs and protects against DNA-damage caused by (±)-anti-B[a]P-7,8-dihydrodiol-9,10-epoxide (BPDE), the DNA-reactive metabolite of benzo(a)pyrene. Ten participants consumed 1L unfiltered coffee/d over 5 days. Before and after the intervention, saliva and blood were collected and the overall GST activity was measured with 1-chloro-2,4-dinitrobenzene (CDNB). Additionally, GSTP and GSTA were determined in plasma with immunoassays. In blood, only weak (p=0.042) induction of GST (CDNB) was found. Furthermore, pronounced (three-fold) induction of GSTP was observed in blood, whereas GSTA was not altered. No correlations were seen between induction of GST (CDNB) and GSTP activities and the GSTP1 genotypes of the participants. Also clinical parameters (creatinine, alanine, aminotransferase, aspartate aminotransferase, alkaline phosphatase), which are markers for organ damage, were monitored. None of them was altered by coffee, but serum cholesterol levels were slightly (not significantly) enhanced. In a second trial (n=7), GSTP induction by unfiltered and paper filtered coffees, differing in cafestol and kahweol contents, were compared. The participants consumed 1L coffee/d over 3 days. Again significant (three-fold) induction of GSTP was observed. The effects seen with the two coffees were identical, indicating that the diterpenoid concentrations are not responsible for the effects. In a further trial (n=7), the effect of coffee (unfiltered, 1L/d, 5 days) on BPDE induced DNA-migration was studied in comet assays. A 45% reduction effect was observed. Our findings show that coffee induces GSTP in humans and indicate that consumption may lead to protection towards polycyclic aromatic hydrocarbons.
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- 2005
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14. Associations of Serum Testosterone with Microvessel Density, Androgen Receptor Density and Androgen Receptor Gene polymorphism In prostate cancer
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SCHATZL, GEORG, MADERSBACHER, STEPHAN, HAITEL, ANDREA, GSUR, ANDREA, PREYER, MARTIN, HAIDINGER, GERALD, GASSNER, CHRISTA, OCHSNER, MICHAELA, and MARBERGER, MICHAEL
- Abstract
We investigate potential associations of serum testosterone with microvessel density, androgen receptor expression and AR gene polymorphism in men with untreated prostate cancer.
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- 2003
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15. Polymorphic CAG repeats in the androgen receptor gene, prostate-specific antigen polymorphism and prostate cancer risk
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Gsur, Andrea, Preyer, Martin, Haidinger, Gerald, Zidek, Thomas, Madersbacher, Stephan, Schatzl, Georg, Marberger, Michael, Vutuc, Christian, and Micksche, Michael
- Abstract
As the development of prostate cancer is androgen-dependent, it has been hypothesized that variation in transcriptional activity by the androgen receptor (AR) related to polymorphic CAG repeats in exon 1, influences prostate cancer risk. The AR regulates gene transcription by binding to androgen-response elements (AREs) in target genes, such as the prostate-specific antigen (PSA). In the ARE-I sequence of the PSA gene an adenine to guanine polymorphism is described. It has been hypothesized that the AR binds the two PSA alleles (A and G) with differing affinities and may, thereby, differentially influence prostate cancer risk. To examine the role of the polymorphisms in the AR and PSA genes in prostate cancer susceptibility, we conducted a case-control study of Austrian Caucasians with 190 newly diagnosed prostate cancer patients and 190 age-matched control men with benign prostatic hyperplasia (BPH). The polymorphisms were determined by polymerase chain reaction (PCR)-based methods using DNA from peripheral white blood cells. Logistic regressions were performed to calculate odds ratios (OR) and confidence limits (CL) and to control for possible confounders. Our data provide no evidence for an association between prostate cancer and CAG repeat length. However, we found a significant influence of the ARE-I PSA polymorphism on prostate cancer risk, when calculating the combination of the A/G and G/G genotypes relative to subjects with the A/A genotype (OR = 0.63; 95% CL 0.39–0.99; P = 0.048), suggesting that the G allele has a protective effect. In a case analysis according to Gleason score, the PSA G/G genotype was significantly more frequent in patients with Gleason score >7 (35.1%) than in patients with Gleason score <7 (21.5%), providing evidence that the PSA G/G genotype is associated with more advanced disease at time of diagnosis. However, the ambivalent role of the PSA during prostate carcinogenesis needs further investigation.
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- 2002
16. Elevated Plasma Levels of Crosslinked Fibrinogen Gamma-chain Dimer Indicate Cancer-related Fibrin Deposition and Fibrinolysis
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Gerner, Christopher, Steinkellner, Werner, Holzmann, Klaus, Gsur, Andrea, Grimm, Rudolf, Ensinger, Christian, Obrist, Peter, and Sauermann, Georg
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- 2001
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17. Polymorphisms of glutathione-<TOGGLE>S</TOGGLE>-transferase genes (<TOGGLE>GSTP1, GSTM1</TOGGLE> and <TOGGLE>GSTT1</TOGGLE>) and prostate-cancer risk
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Gsur, Andrea, Haidinger, Gerald, Hinteregger, Sonja, Bernhofer, Gabriele, Schatzl, Georg, Madersbacher, Stephan, Marberger, Michael, Vutuc, Christian, and Micksche, Michael
- Abstract
Several polymorphic glutathione-S-transferase (GST) enzymes are involved in the metabolism of a number of potential prostate carcinogens and are thought to engage in the transport of steroid hormones. A case-control study was conducted to determine the association of the GSTP1, GSTM1 and GSTT1 polymorphisms and prostate-cancer risk. The study population consisted of 166 patients with previously untreated, histologically proven prostate cancer and 166 age-matched control patients with benign prostatic hyperplasia (BPH), all of them Caucasians. In the GSTP1 gene, 2 polymorphic alleles, GSTP1*B and GSTP1*C, have been described in addition to the wild-type allele, GSTP1*A. Both polymorphic GSTP1 alleles have an A-to-G transition in exon 5, causing an isoleucine-to-valine change. The GSTP1*C allele has an additional transition from C to T. For GSTM1 as well as GSTT1, the polymorphic allele is a deletion of the gene. The proportion of individuals homozygous for the GSTP1 variant alleles (GSTP1*B/*B, GSTP1*B/*C and GSTP1*C/*C) was significantly lower in prostate-cancer patients (4.8%) than in BPH controls (14.5%), and the odds ratio (OR) was 0.24 [95% confidence interval (CI) = 0.090.61). The heterozygous genotypes (GSTP1*A/*B and GSTP1*A/*C) were also lower in the cancer group, though this was not significant. On the contrary, no significant effect on prostate-cancer risk was detectable for either GSTM1 (OR = 0.86, 95% CI = 0.551.36) or GSTT1 (OR = 0.78, 95% CI = 0.431.42). Of the polymorphic GSTs, GSTP1 is the most interesting candidate as a biomarker for prostate-cancer risk as we found a 76% reduced risk in men homozygous for the polymorphic GSTP1 alleles compared to those with wild-type GSTP1. © 2001 Wiley-Liss, Inc.
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- 2001
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18. A polymorphism in the <TOGGLE>CYP17</TOGGLE> gene is associated with prostate cancer risk
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Gsur, Andrea, Bernhofer, Gabriele, Hinteregger, Sonja, Haidinger, Gerald, Schatzl, Georg, Madersbacher, Stephan, Marberger, Michael, Vutuc, Christian, and Micksche, Michael
- Abstract
CYP17 encodes the enzyme cytochrome P-450c17α, which mediates both 17α-hydroxylase and 17,20-lyase in the steroid biosynthesis pathway. A polymorphism in the 5` promoter region of the CYP17 gene has been described. Steroid hormones, especially androgens, are believed to play a key role in the etiology of prostate cancer. Therefore, polymorphisms in genes involved in the androgen metabolism may affect the risk of prostate cancer. We conducted a case-control study of 63 patients with untreated histologically proven prostate cancer and 126 age-matched control men with benign prostatic hyperplasia (BPH) to determine whether a polymorphism in the CYP17 gene is associated with prostate cancer risk. This polymorphism was investigated by PCR/RFLP using DNA from lymphocytes. The transition (T→C) in the risk allele (A2) creates a new recognition site for the restriction enzyme MspAI, which permits designation of the wildtype (A1) and the risk allele (A2). The prevalence of the A2/A2 genotype was significantly higher (P = 0.03) in the cancer group (23.8%) than in the BPH control group (9.5%). We found an increased risk in men carrying 2 A2 alleles (OR = 2.80, 95%CI = 1.0277.76). For carrier with at least 1 A2 allele, the OR was 0.90 (95%CI = 0.431.89). After stratification by median age (66 years) at time of diagnosis, a marked increased risk was found in carriers of the A2/A2 genotype older than 66 years (OR = 8.93, 95%CI = 1.7849.19, P = 0.01). Although the sample size is rather small and the controls are BPH patients, our results suggest that the CYP17A2/A2 genotype may be a biomarker for prostate cancer risk, especially for older men. Int. J. Cancer 87:434437, 2000. © 2000 Wiley-Liss, Inc.
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- 2000
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19. MDR1 Gene Expression in Chronic Lymphocytic Leukemia
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Wallner, Josef, Gisslinger, Heinz, Gisslinger, Bettina, Gsur, Andrea, Götzl, Martin, Zöchbauer, Sabine, and Pirker, Robert
- Abstract
In order to assess the clinical role of the MDR1 gene in chronic lymphocytic leukemia (CLL), we determined its expression in the leukemic cells of 39 patients with CLL and compared this with other clinical and laboratory parameters. MDR1 RNA expression was detected in 29 patients. MDR1 RNA transcripts were independent of age, treatment status of the patients and the clinical stage of CLL, but correlated with the white blood cell count and MDR2 RNA transcripts. Expression of the tumor suppressor gene p53 was found in 30 out of 37 patients and was associated with MDR1 RNA expression (P < 0.001). Immunocytochemistry using the monoclonal antibody C219 was performed in 38 patients, and in 28 cases, more than 5% of the leukemic cells were found to express cell surface P-glycoprotein. P-glycoprotein expression correlated with the expression of MDR1 RNA (P = 0.048).
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- 1994
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20. Cellobiohydrolase II is the main conidial-bound cellulase in Trichoderma reesei and other Trichoderma strains
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Messner, Robert, Kubicek-Pranz, Eva M., Gsur, Andrea, and Kubicek, Christian P.
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Monoclonal antibodies have been used to determine the presence of cellobiohydrolases I and II (CBH I and II), and endoglucanase I (EG I) on the surface of conidia from Trichoderma reesei QM 9414 and RUT C-30, and 8 other Trichoderma species. For this purpose, proteins were released from the conidial surface by treatment with a non-ionic detergent (Triton X-100 and ß-octylglucoside), followed by SDS-PAGE/Western blotting and immunostaining. Both CBH I and II were clearly present, but — unlike in extracellular culture fluids from Trichoderma — CBH II was the predominant cellulase. In T. reesei EG I could not be detected. The higher producer strain T. reesei RUT C-30 exhibited a higher conidial level of CBH II than T. reesei QM 9414. In order to assess the importance of the conidial CBH II level for cellulase induction by cellulose, multiple copies of the chb2 gene were introduced into the T. reesei genome by cotransformation using PyrG as a marker. Stable multicopy transformants secreted the 2- to 4-fold level of CBH II into the culture medium when grown on lactose as a carbon source, but their CBH I secretion was unaltered. Upon growth on cellulose, both CBH I and CBH II secretion was enhanced. Those strain showing highest cellulase activity on cellulose also appeared to contain the highest level of conidial bound CBH II. CBH II was also the predominant conidial cellulase in various other Trichoderma sp. However, roughly the same amount of conidial bound CBH II was detected in all strains, although their cellulase production differed considerably.
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- 1991
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21. MDR1 RNA Expression as a Prognostic Factor in Acute Myeloid Leukemia: An Update
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Gsur, Andrea, Zööchbauer, Sabine, Göötzl, Martin, Kyrle, Paul A., Lechner, Klaus, and Pirker, Robert
- Abstract
In order to confirm our initial report on the negative impact of MDR1 gene expression on the outcome of de novoacute myeloid leukemia (AML), we present an update of our prospective study with a larger number of patients and a longer duration of follow-up. At diagnosis, MDR1 RNA expression of the leukemic cells was negative in 37% and positive in 63% of the patients (N = 79). The complete remission rate of induction chemotherapy was 76% for MDR1 RNA negative and 54% for MDR1 RNA positive patients (p = 0.05). At a median observation duration of 33 months, the duration of overall survival was 19 months for the MDR1 RNA negative patients but only 8 months for the patients with MDR1 gene expression (p = 0.02). Thus the long-term data also indicate that MDR1 gene expression is an unfavourable prognostic factor in AML.
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- 1993
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22. 593: Low Serum Testosterone Levels and High Grade Prostate Cancer are Associated with a Polymorphism in the Are1 Region of the Prostate-Specific Antigen Gene
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Schatzl, Georg, Gsur, Andrea, Haidinger, Gerald, and Marberger, Michael
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- 2004
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23. DNA-methylation and autoantibodies based cancer diagnosis from body fluids
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Noehammer, Christa, Wielscher, Matthias, Fuchs-Luna, Johana, Gyurjan, Istvan, Hofner, Manuela, Kegler, Ulrike, Stoeger, Linda, Singer, Christian, Längle, Friedrich, Hofbauer, Johann, Gsur, Andrea, Ziesche, Rolf, Vierlinger, Klemens, and Weinhaeusel, Andreas
- Abstract
Special focus and aim of our research activities at AIT, the Austrian Institute of Technology, is to define reliable biomarkers suitable for early and non-invasive disease diagnosis from body fluids such as serum/plasma and saliva. Along a selection of research projects, which are described in more detail underneath, we will present and introduce the broad portfolio of high throughput technologies we successfully apply for diagnostic biomarker discovery and validation. As a first show case of successful non-invasive disease biomarker discovery we will present a study where we investigated and compared the genome wide methylation levels of lung cancer patients,patients suffering from lung fibrosis,patients with COPD (chronic obstructive pulmonary disease), and DNA samples derived from healthy lungs. Along this study we could identify specific methylation patterns for each of these lung diseases. After quantitative PCR validation of 240 disease specific methylation markers in the discovery sample set,the 90 top markers were picked and applied for serum testing (n=204). When we applied gradient boosting classification for differential diagnosis of tested lung diseases and healthy controls an AUC value of 0.95 was reached here to separate cancer from all other non-cancer samples whereas in differential diagnosis of healthy-, COPD and fibrosis patients AUC values of 0.71 and 0.49 were obtained for fibrosis, respectively COPD. Thus in case of COPD the presented method may be used to monitor cancer risk within COPD patients. Our second show case comprises a study where we screened cancer patients’ sera for tumor-specific antibody profiles using an in-house developed 16k protein-microarray. This methodology, which will be described in detail, enabled us to define different tumor-associated antigen (TAA) classifier panels for the big 4 cancer entities (breast, colon, prostate and lung cancer) which all showed very promising classification successes in distinction of patients versus controls. We will further present preliminary data obtained when comparing serum and saliva autoantibody profiles of breast-cancer patients and healthy controls.
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- 2015
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