Histone demethylase GASC1 - a potential prognostic and predictive marker in invasive breast cancer

Autor: Berdel Bozena, Nieminen Kaisa, Soini Ylermi, Tengström Maria, Malinen Marjo, Kosma Veli-Matti, Palvimo Jorma J, Mannermaa Arto

Publikováno v: BMC Cancer, Vol 12, Iss 1, p 516 (2012)

Abstract Background The histone demethylase GASC1 (JMJD2C) is an epigenetic factor suspected of involvement in development of different cancers, including breast cancer. It is thought to be overexpressed in the more aggressive breast cancer types bas

Externí odkaz: https://doaj.org/article/e3f1594b5b914316b90cb98a2eff48ab

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Predicting breast cancer risk using interacting genetic and demographic factors and machine learning

Autor: Behravan, Hamid, Hartikainen, Jaana M., Tengström, Maria, Kosma, Veli–Matti, Mannermaa, Arto

Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
Scientific Reports

Breast cancer (BC) is a multifactorial disease and the most common cancer in women worldwide. We describe a machine learning approach to identify a combination of interacting genetic variants (SNPs) and demographic risk factors for BC, especially fac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::eecbd659cab5df49126ce96247a4e28f
http://link.springer.com/article/10.1038/s41598-020-66907-9

Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Autor: Kramer, Iris, Hooning, Maartje J, Mavaddat, Nasim, Hauptmann, Michael, Keeman, Renske, Steyerberg, Ewout W, Giardiello, Daniele, Antoniou, Antonis C, Pharoah, Paul DP, Canisius, Sander, Abu-Ful, Zumuruda, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Bremer, Michael, Brucker, Sara Y, Burwinkel, Barbara, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, NBCS Collaborators, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hopper, John L, Hou, Ming-Feng, Howell, Anthony, ABCTB Investigators, kConFab Investigators, Ito, Hidemi, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kets, C Marleen, Khusnutdinova, Elza, Ko, Yon-Dschun, Kristensen, Vessela N, Kurian, Allison W, Kwong, Ava, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Muranen, Taru A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, Peto, Julian, Petridis, Christos, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Pylkäs, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, Roylance, Rebecca, Saloustros, Emmanouil, Sawyer, Elinor J, Schmutzler, Rita K, Schwentner, Lukas, Scott, Christopher, See, Mee-Hoong, Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Siesling, Sabine, Slager, Susan, Sohn, Christof, Southey, Melissa C, Spinelli, John J, Stone, Jennifer, Tapper, William J, Tengström, Maria, Teo, Soo Hwang, Terry, Mary Beth, Tollenaar, Rob AEM, Tomlinson, Ian, Troester, Melissa A, Vachon, Celine M, van Ongeval, Chantal, van Veen, Elke M, Winqvist, Robert, Wolk, Alicja, Zheng, Wei, Ziogas, Argyrios, Easton, Douglas F, Hall, Per, Schmidt, Marjanka K

Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 ger

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f11da7289f2bb00a5fcc96c9297b1c35
https://researchonline.lshtm.ac.uk/id/eprint/4658011/3/Kramer-etal-2020_Breast_Cancer_Polygenic_Risk_Score.pdf

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