Épidémiologie génétique des cancers

Publications de l’équipe

Année de publication : 2017

Mathurin Dorel, Eric Viara, Emmanuel Barillot, Andrei Zinovyev, Inna Kuperstein (2017 Apr 18)

NaviCom: a web application to create interactive molecular network portraits using multi-level omics data.

Database : the journal of biological databases and curation : DOI : 10.1093/database/bax026 En savoir plus
Résumé

Human diseases such as cancer are routinely characterized by high-throughput molecular technologies, and multi-level omics data are accumulated in public databases at increasing rate. Retrieval and visualization of these data in the context of molecular network maps can provide insights into the pattern of regulation of molecular functions reflected by an omics profile. In order to make this task easy, we developed NaviCom, a Python package and web platform for visualization of multi-level omics data on top of biological network maps. NaviCom is bridging the gap between cBioPortal, the most used resource of large-scale cancer omics data and NaviCell, a data visualization web service that contains several molecular network map collections. NaviCom proposes several standardized modes of data display on top of molecular network maps, allowing addressing specific biological questions. We illustrate how users can easily create interactive network-based cancer molecular portraits via NaviCom web interface using the maps of Atlas of Cancer Signalling Network (ACSN) and other maps. Analysis of these molecular portraits can help in formulating a scientific hypothesis on the molecular mechanisms deregulated in the studied disease.

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Laura Cantini, Michele Caselle, Antoine Forget, Andrei Zinovyev, Emmanuel Barillot, Loredana Martignetti (2017 Apr 15)

A review of computational approaches detecting microRNAs involved in cancer.

Frontiers in bioscience (Landmark edition) : 1774-1791 En savoir plus
Résumé

MicroRNAs (miRNAs) are small non-coding RNAs playing an essential role in gene expression regulation. Multiple studies have demonstrated that miRNAs are dysregulated in cancer initiation and progression, pointing out their potential as biomarkers for diagnosis, prognosis and response to treatment. With the introduction of high-throughput technologies several computational approaches have been proposed to identify cancer-associated miRNAs. Here, we present a systematic and comprehensive overview of the current knowledge concerning the computational detection of miRNAs involved in tumor onset and subtyping, with possible theranostic employment. An overview of the state of art in this field is thus proposed with the aim of supporting researchers, especially experimentalists and pathologists, in choosing the optimal approach for their case of study.

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Catherine M Phelan, Karoline B Kuchenbaecker, Jonathan P Tyrer, Siddhartha P Kar, Kate Lawrenson, Stacey J Winham, Joe Dennis, Ailith Pirie, Marjorie J Riggan, Ganna Chornokur, Madalene A Earp, Paulo C Lyra, Janet M Lee, Simon Coetzee, Jonathan Beesley, Lesley McGuffog, Penny Soucy, Ed Dicks, Andrew Lee, Daniel Barrowdale, Julie Lecarpentier, Goska Leslie, Cora M Aalfs, Katja K H Aben, Marcia Adams, Julian Adlard, Irene L Andrulis, Hoda Anton-Culver, Natalia Antonenkova, , Gerasimos Aravantinos, Norbert Arnold, Banu K Arun, Brita Arver, Jacopo Azzollini, Judith Balmaña, Susana N Banerjee, Laure Barjhoux, Rosa B Barkardottir, Yukie Bean, Matthias W Beckmann, Alicia Beeghly-Fadiel, Javier Benitez, Marina Bermisheva, Marcus Q Bernardini, Michael J Birrer, Line Bjorge, Amanda Black, Kenneth Blankstein, Marinus J Blok, Clara Bodelon, Natalia Bogdanova, Anders Bojesen, Bernardo Bonanni, Åke Borg, Angela R Bradbury, James D Brenton, Carole Brewer, Louise Brinton, Per Broberg, Angela Brooks-Wilson, Fiona Bruinsma, Joan Brunet, Bruno Buecher, Ralf Butzow, Saundra S Buys, Trinidad Caldes, Maria A Caligo, Ian Campbell, Rikki Cannioto, Michael E Carney, Terence Cescon, Salina B Chan, Jenny Chang-Claude, Stephen Chanock, Xiao Qing Chen, Yoke-Eng Chiew, Jocelyne Chiquette, Wendy K Chung, Kathleen B M Claes, Thomas Conner, Linda S Cook, Jackie Cook, Daniel W Cramer, Julie M Cunningham, Aimee A D'Aloisio, Mary B Daly, Francesca Damiola, Sakaeva Dina Damirovna, Agnieszka Dansonka-Mieszkowska, Fanny Dao, Rosemarie Davidson, Anna DeFazio, Capucine Delnatte, Kimberly F Doheny, Orland Diez, Yuan Chun Ding, Jennifer Anne Doherty, Susan M Domchek, Cecilia M Dorfling, Thilo Dörk, Laure Dossus, Mercedes Duran, Matthias Dürst, Bernd Dworniczak, Diana Eccles, Todd Edwards, Ros Eeles, Ursula Eilber, Bent Ejlertsen, Arif B Ekici, Steve Ellis, Mingajeva Elvira, , Kevin H Eng, Christoph Engel, D Gareth Evans, Peter A Fasching, Sarah Ferguson, Sandra Fert Ferrer, James M Flanagan, Zachary C Fogarty, Renée T Fortner, Florentia Fostira, William D Foulkes, George Fountzilas, Brooke L Fridley, Tara M Friebel, Eitan Friedman, Debra Frost, Patricia A Ganz, Judy Garber, María J García, Vanesa Garcia-Barberan, Andrea Gehrig, , Aleksandra Gentry-Maharaj, Anne-Marie Gerdes, Graham G Giles, Rosalind Glasspool, Gord Glendon, Andrew K Godwin, David E Goldgar, Teodora Goranova, Martin Gore, Mark H Greene, Jacek Gronwald, Stephen Gruber, Eric Hahnen, Christopher A Haiman, Niclas Håkansson, Ute Hamann, Thomas V O Hansen, Patricia A Harrington, Holly R Harris, Jan Hauke, , Alexander Hein, Alex Henderson, Michelle A T Hildebrandt, Peter Hillemanns, Shirley Hodgson, Claus K Høgdall, Estrid Høgdall, Frans B L Hogervorst, Helene Holland, Maartje J Hooning, Karen Hosking, Ruea-Yea Huang, Peter J Hulick, Jillian Hung, David J Hunter, David G Huntsman, Tomasz Huzarski, Evgeny N Imyanitov, Claudine Isaacs, Edwin S Iversen, Louise Izatt, Angel Izquierdo, Anna Jakubowska, Paul James, Ramunas Janavicius, Mats Jernetz, Allan Jensen, Uffe Birk Jensen, Esther M John, Sharon Johnatty, Michael E Jones, Päivi Kannisto, Beth Y Karlan, Anthony Karnezis, Karin Kast, , Catherine J Kennedy, Elza Khusnutdinova, Lambertus A Kiemeney, Johanna I Kiiski, Sung-Won Kim, Susanne K Kjaer, Martin Köbel, Reidun K Kopperud, Torben A Kruse, Jolanta Kupryjanczyk, Ava Kwong, Yael Laitman, Diether Lambrechts, Nerea Larrañaga, Melissa C Larson, Conxi Lazaro, Nhu D Le, Loic Le Marchand, Jong Won Lee, Shashikant B Lele, Arto Leminen, Dominique Leroux, Jenny Lester, Fabienne Lesueur, Douglas A Levine, Dong Liang, Clemens Liebrich, Jenna Lilyquist, Loren Lipworth, Jolanta Lissowska, Karen H Lu, Jan Lubinński, Craig Luccarini, Lene Lundvall, Phuong L Mai, Gustavo Mendoza-Fandiño, Siranoush Manoukian, Leon F A G Massuger, Taymaa May, Sylvie Mazoyer, Jessica N McAlpine, Valerie McGuire, John R McLaughlin, Iain McNeish, Hanne Meijers-Heijboer, Alfons Meindl, Usha Menon, Arjen R Mensenkamp, Melissa A Merritt, Roger L Milne, Gillian Mitchell, Francesmary Modugno, Joanna Moes-Sosnowska, Melissa Moffitt, Marco Montagna, Kirsten B Moysich, Anna Marie Mulligan, Jacob Musinsky, Katherine L Nathanson, Lotte Nedergaard, Roberta B Ness, Susan L Neuhausen, Heli Nevanlinna, Dieter Niederacher, Robert L Nussbaum, Kunle Odunsi, Edith Olah, Olufunmilayo I Olopade, Håkan Olsson, Curtis Olswold, David M O'Malley, Kai-Ren Ong, N Charlotte Onland-Moret, , Nicholas Orr, Sandra Orsulic, Ana Osorio, Domenico Palli, Laura Papi, Tjoung-Won Park-Simon, James Paul, Celeste L Pearce, Inge Søkilde Pedersen, Petra H M Peeters, Bernard Peissel, Ana Peixoto, Tanja Pejovic, Liisa M Pelttari, Jennifer B Permuth, Paolo Peterlongo, Lidia Pezzani, Georg Pfeiler, Kelly-Anne Phillips, Marion Piedmonte, Malcolm C Pike, Anna M Piskorz, Samantha R Poblete, Timea Pocza, Elizabeth M Poole, Bruce Poppe, Mary E Porteous, Fabienne Prieur, Darya Prokofyeva, Elizabeth Pugh, Miquel Angel Pujana, Pascal Pujol, Paolo Radice, Johanna Rantala, Christine Rappaport-Fuerhauser, Gad Rennert, Kerstin Rhiem, Patricia Rice, Andrea Richardson, Mark Robson, Gustavo C Rodriguez, Cristina Rodríguez-Antona, Jane Romm, Matti A Rookus, Mary Anne Rossing, Joseph H Rothstein, Anja Rudolph, Ingo B Runnebaum, Helga B Salvesen, Dale P Sandler, Minouk J Schoemaker, Leigha Senter, V Wendy Setiawan, Gianluca Severi, Priyanka Sharma, Tameka Shelford, Nadeem Siddiqui, Lucy E Side, Weiva Sieh, Christian F Singer, Hagay Sobol, Honglin Song, Melissa C Southey, Amanda B Spurdle, Zsofia Stadler, Doris Steinemann, Dominique Stoppa-Lyonnet, Lara E Sucheston-Campbell, Grzegorz Sukiennicki, Rebecca Sutphen, Christian Sutter, Anthony J Swerdlow, Csilla I Szabo, Lukasz Szafron, Yen Y Tan, Jack A Taylor, Muy-Kheng Tea, Manuel R Teixeira, Soo-Hwang Teo, Kathryn L Terry, Pamela J Thompson, Liv Cecilie Vestrheim Thomsen, Darcy L Thull, Laima Tihomirova, Anna V Tinker, Marc Tischkowitz, Silvia Tognazzo, Amanda Ewart Toland, Alicia Tone, Britton Trabert, Ruth C Travis, Antonia Trichopoulou, Nadine Tung, Shelley S Tworoger, Anne M van Altena, David Van Den Berg, Annemarie H van der Hout, Rob B van der Luijt, Mattias Van Heetvelde, Els Van Nieuwenhuysen, Elizabeth J van Rensburg, Adriaan Vanderstichele, Raymonda Varon-Mateeva, Ana Vega, Digna Velez Edwards, Ignace Vergote, Robert A Vierkant, Joseph Vijai, Athanassios Vratimos, Lisa Walker, Christine Walsh, Dorothea Wand, Shan Wang-Gohrke, Barbara Wappenschmidt, Penelope M Webb, Clarice R Weinberg, Jeffrey N Weitzel, Nicolas Wentzensen, Alice S Whittemore, Juul T Wijnen, Lynne R Wilkens, Alicja Wolk, Michelle Woo, Xifeng Wu, Anna H Wu, Hannah Yang, Drakoulis Yannoukakos, Argyrios Ziogas, Kristin K Zorn, Steven A Narod, Douglas F Easton, Christopher I Amos, Joellen M Schildkraut, Susan J Ramus, Laura Ottini, Marc T Goodman, Sue K Park, Linda E Kelemen, Harvey A Risch, Mads Thomassen, Kenneth Offit, Jacques Simard, Rita Katharina Schmutzler, Dennis Hazelett, Alvaro N Monteiro, Fergus J Couch, Andrew Berchuck, Georgia Chenevix-Trench, Ellen L Goode, Thomas A Sellers, Simon A Gayther, Antonis C Antoniou, Paul D P Pharoah (2017 Mar 28)

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Nature genetics : DOI : 10.1038/ng.3826 En savoir plus
Résumé

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

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Haitham Ashoor, Caroline Louis-Brennetot, Isabelle Janoueix-Lerosey, Vladimir B Bajic, Valentina Boeva (2017 Jan 6)

HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristics.

Nucleic acids research : DOI : gkw1319 En savoir plus
Résumé

Comparing histone modification profiles between cancer and normal states, or across different tumor samples, can provide insights into understanding cancer initiation, progression and response to therapy. ChIP-seq histone modification data of cancer samples are distorted by copy number variation innate to any cancer cell. We present HMCan-diff, the first method designed to analyze ChIP-seq data to detect changes in histone modifications between two cancer samples of different genetic backgrounds, or between a cancer sample and a normal control. HMCan-diff explicitly corrects for copy number bias, and for other biases in the ChIP-seq data, which significantly improves prediction accuracy compared to methods that do not consider such corrections. On in silico simulated ChIP-seq data generated using genomes with differences in copy number profiles, HMCan-diff shows a much better performance compared to other methods that have no correction for copy number bias. Additionally, we benchmarked HMCan-diff on four experimental datasets, characterizing two histone marks in two different scenarios. We correlated changes in histone modifications between a cancer and a normal control sample with changes in gene expression. On all experimental datasets, HMCan-diff demonstrated better performance compared to the other methods.

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