Open Access

Genes harbouring susceptibility SNPs are differentially expressed in the breast cancer subtypes

  • Silje H Nordgard1, 2,
  • Fredrik E Johansen1,
  • Grethe IG Alnæs1,
  • Bjørn Naume3,
  • Anne-Lise Børresen-Dale1, 2Email author and
  • Vessela N Kristensen1, 2
Breast Cancer Research20079:113

https://doi.org/10.1186/bcr1784

Published: 19 November 2007

Abstract

Recently, genome-wide association studies of breast cancer revealed single nucleotide polymorphisms (SNPs) in five genes with novel association to susceptibility. While there is little doubt that the novel susceptibility markers produced from such highly powered studies are true, the mechanisms by which they cause the susceptibility remain undetermined. We have looked at the expression levels of the identified genes in tumours and found that they are highly significantly differentially expressed between the five established breast cancer subtypes. Also, a significant association between SNPs in these genes and their expression in tumours was seen as well as a significantly different frequency of the SNPs between the subtypes. This suggests that the observed genes are associated with different breast cancer subtypes, and may exert their effect through their expression in the tumours. Thus, future studies stratifying patients by their molecular subtypes may give much more power to classic case control studies, and genes of no or borderline significance may appear to be high-penetrant for certain subtypes and, therefore, be identifiable.

A genome-wide association study of breast cancer has revealed single nucleotide polymorphisms (SNPs) in five genes with novel association to susceptibility: TNRC9, FGFR2, MAP3K1, H19 and LSP1 [1]. The results were confirmed for FGFR2 and TNRC9 in two independent studies [2, 3]. However, these studies revealed little of the mechanisms underlying these associations. Pooling of such a large amount of cases, as performed in these studies, inevitably leads to concealment of the various histological and clinico-pathological subtypes. This suggests that the observed genes are either of universal importance for breast cancer development, are associated with a subgroup that dominates the overall pool or are associated with any subgroup but with an association sufficiently strong to dominate the overall result. Breast cancer patients can be divided into five distinct molecular subtypes based on their expression profiles [4]. The existence of these five subtypes, luminal A, luminal B, basal-like, ErbB2+, and normal-like, have been confirmed in independent datasets [5] and they are associated with different clinical outcomes [6]. If the probability to develop a given subtype of breast cancer is genetically determined, we might expect to find that the newly discovered susceptibility genes [1] are differentially expressed in the various tumour subtypes, and that their transcription is regulated in cis by SNPs within them. With this in mind, we retrieved the mRNA expression data of TNRC9, FGFR2, MAP3K1, H19 and LSP1 from 112 breast tumours representing all five subtypes [7]. Significantly different mRNA levels between the subtypes were found for all the five genes by ANOVA analysis (Table 1). For instance, TNRC9 was up-regulated in luminal A, luminal B and ErbB2+subtypes and down-regulated in the basal-like subtype (p = 4.5 × 10-7). FGFR2 was up-regulated in luminal A and basal-like subtypes and down-regulated in luminal B and ErbB2+ subtypes (p = 3.1 × 10-5), while MAP3K1 was up-regulated in luminal A and the normal-like subtypes and down-regulated in luminal B, ErbB2+ and basal-like subtypes (p = 5.2 × 10-5). Furthermore, we could calculate the association between SNPs residing within these genes and their tumour expression levels since genotype data on these patients have been generated using an Illumina 109K SNP array. The three genes whose expression levels were most significantly associated with tumour subtype (TNRC9, FGFR2 and MAP3K1) all harboured SNPs within them displaying a significant association with gene expression level (Table 1). One of these SNPs, rs9940048 in TNRC9, displayed a significantly different genotype distribution between the subtypes, with breast cancer patients homozygous for the low frequency allele over-represented in the basal-like subtype (p = 0.003), in concordance with the observation that the basal-like tumours had the lowest levels of TNRC9 mRNA.
Table 1

P values after ANOVA analyses

Gene

Clone ID

SNP ID

Exp vs subtypea

SNP vs Expb

SNP vs subtypec

TNRC9

IMAGE:2139448

rs9940048

4.5 × 10-7

0.043

0.003

FGFR2

IMAGE:809464

rs2981451

3.1 × 10-5

0.035

0.875

MAP3K1

IMAGE:810230

rs831818

5.2 × 10-5

0.0045

0.779

H19

IMAGE:428721

rs2839701

0.001

0.268

0.082

LSP1

IMAGE:110788

rs661348

0.005

0.840

0.56

aExpression levels of the five genes (clone ID) between the various subgroups. bSingle nucleotide polymorphisms (SNP ID) versus expression of the five genes. cGenotype distribution of SNPs (SNP ID) between the various subgroups.

Conclusion

Our results suggest that SNPs in the recently discovered susceptibility genes may exert their effect through the expression of their genes in tumours, giving rise to the various breast cancer subtypes. Thus, stratification of patients by their molecular subtypes may give much more power to classic case control studies, and genes of no or borderline significance may appear to be high-penetrant for certain subtypes and, therefore, be identifiable.

Abbreviations

SNP: 

single nucleotide polymorphism.

Declarations

Authors’ Affiliations

(1)
Department of Genetics, Institute of Cancer Research, Rikshospitalet-Radiumhospitalet Medical Centre
(2)
The Cancer Clinic, Rikshospitalet-Radiumhospitalet Medical Centre
(3)
Faculty of Medicine, University of Oslo

References

  1. Easton DF, Pooley KA, Dunning AM, Pharoah PD, Thompson D, Ballinger DG, Struewing JP, Morrison J, Field H, Luben R, et al: Genome-wide association study identifies novel breast cancer susceptibility loci. Nature. 2007, 447: 1087-1093. 10.1038/nature05887.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Hunter DJ, Kraft P, Jacobs KB, Cox DG, Yeager M, Hankinson SE, Wacholder S, Wang Z, Welch R, Hutchinson A, et al: A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet. 2007, 39: 870-874. 10.1038/ng2075.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Stacey SN, Manolescu A, Sulem P, Rafnar T, Gudmundsson J, Gudjonsson SA, Masson G, Jakobsdottir M, Thorlacius S, Helgason A, et al: Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007,Google Scholar
  4. Perou CM, Sorlie T, Eisen MB, van de RM, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al: Molecular portraits of human breast tumours. Nature. 2000, 406: 747-752. 10.1038/35021093.View ArticlePubMedGoogle Scholar
  5. Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, et al: Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2003, 100: 8418-8423. 10.1073/pnas.0932692100.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de RM, Jeffrey SS, et al: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001, 98: 10869-10874. 10.1073/pnas.191367098.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Naume B, Zhao X, Synnestvedt M, Borgen E, Russnes HG, Lingjaerde OC, Stromberg M, Wiedswang G, Kvalheim G, Karesen R, et al: Presence of bone marrow micrometastasis is associated with different recurrence risk within molecular subtypes of breast cancer. Mol Oncol. 2007, 1: 160-171. 10.1016/j.molonc.2007.03.004.View ArticlePubMedGoogle Scholar

Copyright

© BioMed Central Ltd 2007

Advertisement