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384 results

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Do MDM2 SNP309 and TP53 R72P interact in breast cancer susceptibility? A large pooled series from the breast cancer association consortium.
Schmidt MK, Reincke S, Broeks A, Braaf LM, Hogervorst FB, Tollenaar RA, Johnson N, Fletcher O, Peto J, Tommiska J, Blomqvist C, Nevanlinna HA, Healey CS, Dunning AM, Pharoah PD, Easton DF, Dörk T, Van't Veer LJ; Breast Cancer Association Consortium. Schmidt MK, et al. Cancer Res. 2007 Oct 1;67(19):9584-90. doi: 10.1158/0008-5472.CAN-07-0738. Cancer Res. 2007. PMID: 17909070
The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.
Mook S, Schmidt MK, Viale G, Pruneri G, Eekhout I, Floore A, Glas AM, Bogaerts J, Cardoso F, Piccart-Gebhart MJ, Rutgers ET, Van't Veer LJ; TRANSBIG Consortium. Mook S, et al. Among authors: schmidt mk. Breast Cancer Res Treat. 2009 Jul;116(2):295-302. doi: 10.1007/s10549-008-0130-2. Epub 2008 Jul 27. Breast Cancer Res Treat. 2009. PMID: 18661261
Combined effects of single nucleotide polymorphisms TP53 R72P and MDM2 SNP309, and p53 expression on survival of breast cancer patients.
Schmidt MK, Tommiska J, Broeks A, van Leeuwen FE, Van't Veer LJ, Pharoah PD, Easton DF, Shah M, Humphreys M, Dörk T, Reincke SA, Fagerholm R, Blomqvist C, Nevanlinna H. Schmidt MK, et al. Breast Cancer Res. 2009;11(6):R89. doi: 10.1186/bcr2460. Epub 2009 Dec 18. Breast Cancer Res. 2009. PMID: 20021639 Free PMC article.
Germline variation in TP53 regulatory network genes associates with breast cancer survival and treatment outcome.
Jamshidi M, Schmidt MK, Dörk T, Garcia-Closas M, Heikkinen T, Cornelissen S, van den Broek AJ, Schürmann P, Meyer A, Park-Simon TW, Figueroa J, Sherman M, Lissowska J, Keong GT, Irwanto A, Laakso M, Hautaniemi S, Aittomäki K, Blomqvist C, Liu J, Nevanlinna H. Jamshidi M, et al. Among authors: schmidt mk. Int J Cancer. 2013 May 1;132(9):2044-55. doi: 10.1002/ijc.27884. Epub 2012 Oct 25. Int J Cancer. 2013. PMID: 23034890 Free PMC article.
Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions.
Schoeps A, Rudolph A, Seibold P, Dunning AM, Milne RL, Bojesen SE, Swerdlow A, Andrulis I, Brenner H, Behrens S, Orr N, Jones M, Ashworth A, Li J, Cramp H, Connley D, Czene K, Darabi H, Chanock SJ, Lissowska J, Figueroa JD, Knight J, Glendon G, Mulligan AM, Dumont M, Severi G, Baglietto L, Olson J, Vachon C, Purrington K, Moisse M, Neven P, Wildiers H, Spurdle A, Kosma VM, Kataja V, Hartikainen JM, Hamann U, Ko YD, Dieffenbach AK, Arndt V, Stegmaier C, Malats N, Arias Perez JI, Benítez J, Flyger H, Nordestgaard BG, Truong T, Cordina-Duverger E, Menegaux F, dos Santos Silva I, Fletcher O, Johnson N, Häberle L, Beckmann MW, Ekici AB, Braaf L, Atsma F, van den Broek AJ, Makalic E, Schmidt DF, Southey MC, Cox A, Simard J, Giles GG, Lambrechts D, Mannermaa A, Brauch H, Guénel P, Peto J, Fasching PA, Hopper J, Flesch-Janys D, Couch F, Chenevix-Trench G, Pharoah PD, Garcia-Closas M, Schmidt MK, Hall P, Easton DF, Chang-Claude J. Schoeps A, et al. Among authors: schmidt mk, schmidt df. Genet Epidemiol. 2014 Jan;38(1):84-93. doi: 10.1002/gepi.21771. Epub 2013 Nov 18. Genet Epidemiol. 2014. PMID: 24248812 Free PMC article.
384 results