Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Sep 1;21(17):3926-39.
doi: 10.1093/hmg/dds159. Epub 2012 Apr 24.

The role of genetic breast cancer susceptibility variants as prognostic factors

Peter A Fasching  1 Paul D P PharoahAngela CoxHeli NevanlinnaStig E BojesenThomas KarnAnnegien BroeksFlora E van LeeuwenLaura J van't VeerRenate UdoAlison M DunningDario GrecoKristiina AittomäkiCarl BlomqvistMitul ShahBørge G NordestgaardHenrik FlygerJohn L HopperMelissa C SoutheyCarmel ApicellaMontserrat Garcia-ClosasMark ShermanJolanta LissowskaCaroline SeynaevePetra E A HuijtsRob A E M TollenaarArgyrios ZiogasArif B EkiciClaudia RauhArto MannermaaVesa KatajaVeli-Matti KosmaJaana M HartikainenIrene L AndrulisHilmi OzcelikAnna-Marie MulliganGord GlendonPer HallKamila CzeneJianjun LiuJenny Chang-ClaudeShan Wang-GohrkeUrsula EilberStefan NickelsThilo DörkMaria SchiekelMichael BremerTjoung-Won Park-SimonGraham G GilesGianluca SeveriLaura BagliettoMaartje J HooningJohn W M MartensAgnes JagerMieke KriegeAnnika LindblomSara MargolinFergus J CouchKristen N StevensJanet E OlsonMatthew KoselSimon S CrossSabapathy P BalasubramanianMalcolm W R ReedAlexander MironEsther M JohnRobert WinqvistKatri PylkäsArja Jukkola-VuorinenSaila KauppilaBarbara BurwinkelFrederik MarmeAndreas SchneeweissChristof SohnGeorgia Chenevix-TrenchkConFab InvestigatorsDiether LambrechtsAnne-Sophie DieudonneSigrid HatseErik van LimbergenJavier BenitezRoger L MilneM Pilar ZamoraJosé Ignacio Arias PérezBernardo BonanniBernard PeisselBernard LorisPaolo PeterlongoPreetha RajaramanSara J SchonfeldHoda Anton-CulverPeter DevileeMatthias W BeckmannDennis J SlamonKelly-Anne PhillipsJonine D FigueroaManjeet K HumphreysDouglas F EastonMarjanka K Schmidt
Affiliations

The role of genetic breast cancer susceptibility variants as prognostic factors

Peter A Fasching et al. Hum Mol Genet. .

Abstract

Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 (8q24), rs3817198 (LSP1), rs889312 (MAP3K1), rs3803662 (TOX3), rs13387042 (2q35), rs4973768 (SLC4A7), rs6504950 (COX11) and rs10941679 (5p12) were genotyped for 25 853 BC patients with the available follow-up; 62 other SNPs, which have been suggested as BC risk SNPs by a GWAS or as candidate SNPs from individual studies, were genotyped for replication purposes in subsets of these patients. Cox proportional hazard models were used to test the association of these SNPs with overall survival (OS) and BC-specific survival (BCS). For the confirmed loci, we performed an accessory analysis of publicly available gene expression data and the prognosis in a different patient group. One of the 11 SNPs, rs3803662 (TOX3) and none of the 62 candidate/GWAS SNPs were associated with OS and/or BCS at P<0.01. The genotypic-specific survival for rs3803662 suggested a recessive mode of action [hazard ratio (HR) of rare homozygous carriers=1.21; 95% CI: 1.09-1.35, P=0.0002 and HR=1.29; 95% CI: 1.12-1.47, P=0.0003 for OS and BCS, respectively]. This association was seen similarly in all analyzed tumor subgroups defined by nodal status, tumor size, grade and estrogen receptor. Breast tumor expression of these genes was not associated with prognosis. With the exception of rs3803662 (TOX3), there was no evidence that any of the SNPs associated with BC susceptibility were associated with the BC survival. Survival may be influenced by a distinct set of germline variants from those influencing susceptibility.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Adjusted HR (all-cause mortality) for the homozygous rare genotype of rs3803662 within clinical subgroups. Adjusted HR (95% CI) for the homozygous rare genotype of rs3803662 within clinical subgroups: N1, lymph node positive; N0, lymph node negative; T1, tumor size<2 cm; T2, tumor size 2–5 cm; T3, tumor size >5 cm; G1–3, differentiation grades 1–3; ER pos, estrogen receptor status positive; ER neg, estrogen receptor status negative. Analyses were performed with the common homozygous as reference group for each clinical subgroup and included age at diagnosis, tumor size, nodal status and grade as co-variants (excluding the covariant of the clinical subgroup of interest) and were stratified by study.

References

    1. Sotiriou C., Pusztai L. Gene-expression signatures in breast cancer. N. Engl. J. Med. 2009;360:790–800. doi:10.1056/NEJMra0801289. - DOI - PubMed
    1. Cardoso F., Van't Veer L., Rutgers E., Loi S., Mook S., Piccart-Gebhart M.J. Clinical application of the 70-gene profile: the MINDACT trial. J. Clin. Oncol. 2008;26:729–735. doi:10.1200/JCO.2007.14.3222. - DOI - PubMed
    1. Zujewski J.A., Kamin L. Trial assessing individualized options for treatment for breast cancer: the TAILORx trial. Future Oncol. 2008;4:603–610. doi:10.2217/14796694.4.5.603. - DOI - PubMed
    1. Liedtke C., Wolf M.K., Kiesel L. New concepts for targeted systemic therapy in breast cancer. Geburtsh. Frauenheilk. 2010;70:625–633. doi:10.1055/s-0030-1250182. - DOI
    1. Harbeck N., Salem M., Nitz U., Gluz O., Liedtke C. Personalized treatment of early-stage breast cancer: present concepts and future directions. Cancer Treat. Rev. 2010;36:584–594. doi:10.1016/j.ctrv.2010.04.007. - DOI - PubMed

Publication types

Substances