Prof. Dr. Marion Kiechle
Academic Career and Research Areas
The research interests of Professor Kiechle (b. 1960) are in the field of gynecological oncology with particular attention to inheritable cancer in women and the establishment of individualized cancer targets. In her clinical research she focuses on the diagnosis, treatment and prevention of tumor disease in women. This has involved setting up internationally certified interdisciplinary centers specializing in breast cancer and gynecological cancer in the Department of Gynecology at Klinikum rechts der Isar.
After completing her medical studies, obtaining her license to practice medicine (1986), and receiving her PhD (1987) in Freiburg, Professor Kiechle was the recipient of a German Research Foundation (DFG) scholarship (1987 – 1989). During this time she worked for a year at the Cancer Center of the Southwest Biomed Research Institute, USA. She returned to Freiburg to work as a staff scientist. She acquired her postdoctoral teaching qualification (habilitation) in 1995 and subsequently worked as senior physician in the Department of Gynecology at the University Hospital of Kiel (1996 – 2000). Since October 2000 Professor Kiechle has been director of the Department of Gynecology at TUM’s Klinikum rechts der Isar. Furthermore, Professor Kiechle is a board member of the German Society of Gerontology and Geriatrics (DGGG) and adjunct professor at Kiel University (Christian-Albrechts Universität). Professor Kiechle served as Bavarian Minister of State for Science and the Arts between March and November 2018.
Key Publications
Wilcox N, Dumont M, González-Neira A, Carvalho S, Joly Beauparlant C, Crotti M, Luccarini C, Soucy P, Dubois S, Nuñez-Torres R, Pita G, Gardner EJ, Dennis J, Alonso MR, Álvarez N, Baynes C, Collin-Deschesnes AC, Desjardins S, Becher H, Behrens S, Bolla MK, Castelao JE, Chang-Claude J, Cornelissen S, Dörk T, Engel C, Gago-Dominguez M, Guénel P, Hadjisavvas A, Hahnen E, Hartman M, Herráez B; SGBCC Investigators; Jung A, Keeman R, Kiechle M, Li J, Loizidou MA, Lush M, Michailidou K, Panayiotidis MI, Sim X, Teo SH, Tyrer JP, van der Kolk LE, Wahlström C, Wang Q, Perry JRB, Benitez J, Schmidt MK, Schmutzler RK, Pharoah PDP, Droit A, Dunning AM, Kvist A, Devilee P, Easton DF, Simard J. Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk. Epub 2023 Aug 17. Erratum in: Nat Genet. 2023 Nov;55(11):2009.
AbstractSeethaler B, Nguyen NK, Basrai M, Kiechle M, Walter J, Delzenne NM, Bischoff SC. Short-chain fatty acids are key mediators of the favorable effects of the Mediterranean diet on intestinal barrier integrity: data from the randomized controlled LIBRE trial. Am J Clin Nutr. 2022 Oct 6;116(4):928-942.
AbstractRhiem K, Auber B, Briest S, Dikow N, Ditsch N, Dragicevic N, Grill S, Hahnen E, Horvath J, Jaeger B, Kast K, Kiechle M, Leinert E, Morlot S, Püsken M, Schäfer D, Schott S, Schroeder C, Siebers-Renelt U, Solbach C, Weber-Lassalle N, Witzel I, Zeder-Göß C, Schmutzler RK. Consensus Recommendations of the German Consortium for Hereditary Breast and Ovarian Cancer. Breast Care (Basel). 2022 Apr;17(2):199-207. Epub 2021 Jul 19.
AbstractParsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadaló L, Aalfs CM, Agata S, Aittomäki K, Alducci E, Alonso-Cerezo MC, Arnold N, Auber B, Austin R, Azzollini J, Balmaña J, Barbieri E, Bartram CR, Blanco A, Blümcke B, Bonache S, Bonanni B, Borg Å, Bortesi B, Brunet J, Bruzzone C, Bucksch K, Cagnoli G, Caldés T, Caliebe A, Caligo MA, Calvello M, Capone GL, Caputo SM, Carnevali I, Carrasco E, Caux-Moncoutier V, Cavalli P, Cini G, Clarke EM, Concolino P, Cops EJ, Cortesi L, Couch FJ, Darder E, de la Hoya M, Dean M, Debatin I, Del Valle J, Delnatte C, Derive N, Diez O, Ditsch N, Domchek SM, Dutrannoy V, Eccles DM, Ehrencrona H, Enders U, Evans DG, Farra C, Faust U, Felbor U, Feroce I, Fine M, Foulkes WD, Galvao HCR, Gambino G, Gehrig A, Gensini F, Gerdes AM, Germani A, Giesecke J, Gismondi V, Gómez C, Gómez Garcia EB, González S, Grau E, Grill S, Gross E, Guerrieri-Gonzaga A, Guillaud-Bataille M, Gutiérrez-Enríquez S, Haaf T, Hackmann K, Hansen TVO, Harris M, Hauke J, Heinrich T, Hellebrand H, Herold KN, Honisch E, Horvath J, Houdayer C, Hübbel V, Iglesias S, Izquierdo A, James PA, Janssen LAM, Jeschke U, Kaulfuß S, Keupp K, Kiechle M, Kölbl A, Krieger S, Kruse TA, Kvist A, Lalloo F, Larsen M, Lattimore VL, Lautrup C, Ledig S, Leinert E, Lewis AL, Lim J, Loeffler M, López-Fernández A, Lucci-Cordisco E, Maass N, Manoukian S, Marabelli M, Matricardi L, Meindl A, Michelli RD, Moghadasi S, Moles-Fernández A, Montagna M, Montalban G, Monteiro AN, Montes E, Mori L, Moserle L, Müller CR, Mundhenke C, Naldi N, Nathanson KL, Navarro M, Nevanlinna H, Nichols CB, Niederacher D, Nielsen HR, Ong KR, Pachter N, Palmero EI, Papi L, Pedersen IS, Peissel B, Perez-Segura P, Pfeifer K, Pineda M, Pohl-Rescigno E, Poplawski NK, Porfirio B, Quante AS, Ramser J, Reis RM, Revillion F, Rhiem K, Riboli B, Ritter J, Rivera D, Rofes P, Rump A, Salinas M, Sánchez de Abajo AM, Schmidt G, Schoenwiese U, Seggewiß J, Solanes A, Steinemann D, Stiller M, Stoppa-Lyonnet D, Sullivan KJ, Susman R, Sutter C, Tavtigian SV, Teo SH, Teulé A, Thomassen M, Tibiletti MG, Tischkowitz M, Tognazzo S, Toland AE, Tornero E, Törngren T, Torres-Esquius S, Toss A, Trainer AH, Tucker KM, van Asperen CJ, van Mackelenbergh MT, Varesco L, Vargas-Parra G, Varon R, Vega A, Velasco Á, Vesper AS, Viel A, Vreeswijk MPG, Wagner SA, Waha A, Walker LC, Walters RJ, Wang-Gohrke S, Weber BHF, Weichert W, Wieland K, Wiesmüller L, Witzel I, Wöckel A, Woodward ER, Zachariae S, Zampiga V, Zeder-Göß C; KConFab Investigators; Lázaro C, De Nicolo A, Radice P, Engel C, Schmutzler RK, Goldgar DE, Spurdle AB. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification. Hum Mutat. 2019 Sep;40(9):1557-1578.
AbstractAubele M, Schmitt M, Napieralski R, Paepke S, Ettl J, Absmaier M, Magdolen V, Martens J, Foekens JA, Wilhelm OG, Kiechle M. The Predictive Value of PITX2 DNA Methylation for High-Risk Breast Cancer Therapy: Current Guidelines, Medical Needs, and Challenges. Dis Markers. 2017;2017:4934608.,Epub 2017 Sep 12.
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