The SNP rs6500843 in 16p13.3 is associated with survival specifically among chemotherapy-treated breast cancer patients

Rainer Fagerholm, Marjanka K. Schmidt, Sofia Khan, Sajjad Rafiq, William Tapper, Kristiina Aittomäki, Dario Greco, Tuomas Heikkinen, Taru A. Muranen, Peter A. Fasching, Wolfgang Janni, Richard Weinshilboum, Christian R. Loehberg, John L. Hopper, Melissa C. Southey, Renske Keeman, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa KatajaGeorgia Chenevix-Trench, kConFab Investigators, Diether Lambrechts, Hans Wildiers, Jenny Chang-Claude, Petra Seibold, Fergus J. Couch, Janet E. Olson, Irene L. Andrulis, Julia A. Knight, Montserrat García-Closas, Jonine Figueroa, Maartje J. Hooning, Agnes Jager, Mitul Shah, Barbara J. Perkins, Robert Luben, Ute Hamann, Maria Kabisch, Kamila Czene, Per Hall, Douglas F. Easton, Paul D.P. Pharoah, Jianjun Liu, Diana Eccles, Carl Blomqvist, Heli Nevanlinna

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12 Citations (Scopus)

Abstract

We have utilized a two-stage study design to search for SNPs associated with the survival of breast cancer patients treated with adjuvant chemotherapy. Our initial GWS data set consisted of 805 Finnish breast cancer cases (360 treated with adjuvant chemotherapy). The top 39 SNPs from this stage were analyzed in three independent data sets: iCOGS (n=6720 chemotherapy-treated cases), SUCCESS-A (n=3596), and POSH (n=518). Two SNPs were successfully validated: rs6500843 (any chemotherapy; per-allele HR 1.16, 95% C.I. 1.08-1.26, p=0.0001, p(adjusted)=0.0091), and rs11155012 (anthracycline therapy; per-allele HR 1.21, 95% C.I. 1.08-1.35, p=0.0010, p(adjusted)=0.0270). The SNP rs6500843 was found to specifically interact with adjuvant chemotherapy, independently of standard prognostic markers (p(interaction)=0.0009), with the rs6500843-GG genotype corresponding to the highest hazard among chemotherapy-treated cases (HR 1.47, 95% C.I. 1.20-1.80). Upon trans-eQTL analysis of public microarray data, the rs6500843 locus was found to associate with the expression of a group of genes involved in cell cycle control, notably AURKA, the expression of which also exhibited differential prognostic value between chemotherapy-treated and untreated cases in our analysis of microarray data. Based on previously published information, we propose that the eQTL genes may be connected to the rs6500843 locus via a RBFOX1-FOXM1 -mediated regulatory pathway.

Original languageEnglish
Pages (from-to)7390-7407
Number of pages18
JournalOncotarget
Volume6
Issue number10
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

Keywords

  • Breast cancer
  • Cell cycle
  • Chemotherapy
  • SNP
  • Survival

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