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Breast Cancer Research : BCR logoLink to Breast Cancer Research : BCR
. 2011 Aug 16;13(4):R81. doi: 10.1186/bcr2933

The non-protein coding breast cancer susceptibility locus Mcs5a acts in a non-mammary cell-autonomous fashion through the immune system and modulates T-cell homeostasis and functions

Bart MG Smits 1,#, Deepak Sharma 1,#, David J Samuelson 2,#, Stephan Woditschka 1,3, Bob Mau 1, Jill D Haag 1, Michael N Gould 1,✉
PMCID: PMC3236344  PMID: 21846333

Abstract

Introduction

Mechanisms underlying low-penetrance, common, non-protein coding variants in breast cancer risk loci are largely undefined. We showed previously that the non-protein coding mammary carcinoma susceptibility locus Mcs5a/MCS5A modulates breast cancer risk in rats and women. The Mcs5a allele from the Wistar-Kyoto (WKy) rat strain consists of two genetically interacting elements that have to be present on the same chromosome to confer mammary carcinoma resistance. We also found that the two interacting elements of the resistant allele are required for the downregulation of transcript levels of the Fbxo10 gene specifically in T-cells. Here we describe mechanisms through which Mcs5a may reduce mammary carcinoma susceptibility.

Methods

We performed mammary carcinoma multiplicity studies with three mammary carcinoma-inducing treatments, namely 7,12-dimethylbenz(a)anthracene (DMBA) and N-nitroso-N-methylurea (NMU) carcinogenesis, and mammary ductal infusion of retrovirus expressing the activated HER2/neu oncogene. We used mammary gland and bone marrow transplantation assays to assess the target tissue of Mcs5a activity. We used immunophenotyping assays on well-defined congenic rat lines carrying susceptible and resistant Mcs5a alleles to identify changes in T-cell homeostasis and function associated with resistance.

Results

We show that Mcs5a acts beyond the initial step of mammary epithelial cell transformation, during early cancer progression. We show that Mcs5a controls susceptibility in a non-mammary cell-autonomous manner through the immune system. The resistant Mcs5a allele was found to be associated with an overabundance of gd T-cell receptor (TCR)+ T-cells as well as a CD62L (L-selectin)-high population of all T-cell classes. In contrast to in mammary carcinoma, gdTCR+ T-cells are the predominant T-cell type in the mammary gland and were found to be overabundant in the mammary epithelium of Mcs5a resistant congenic rats. Most of them simultaneously expressed the CD4, CD8, and CD161α markers. In cultured T-cells of Mcs5a resistant congenic rats we found increased mitogen-induced proliferation and production of Th1 cytokines IFNg, IL-2, and Tumor Necrosis Factor (TNF), but not Th2 cytokines IL-4 and IL-6, or Th17 cytokine IL-17 when compared with susceptible control rats.

Conclusions

These data support a hypothesis that Mcs5a displays a non-mammary cell-autonomous mechanism of action to modulate breast cancer risk through the immune system. The resistant Mcs5a allele is associated with alterations in T-cell homeostasis and functions, and overabundance of γδTCR+ T-cells in carcinogen-exposed mammary epithelium.

Introduction

The genetic component of risk for most common forms of breast cancer defines it as a complex trait consisting of numerous susceptibility alleles and interactions. Thus far, approximately 25 such alleles have been identified by using genome-wide association studies and comparative genetics [1-10]. A great majority of these alleles are non-protein-coding and each is associated with a low relative risk. Currently, a major open question regarding breast cancer susceptibility alleles is defining their function and risk-controlling mechanisms. Such insight will allow the use of discovered alleles to go beyond prognosis and toward the development of novel anticancer strategies and agents.

We identified the mammary carcinoma susceptibility-5a (Mcs5a) locus by using a comparative genetics approach and have shown that it controls breast cancer risk in both rats and women [5]. The Mcs5 quantitative trait locus was initially identified by linkage analysis in the backcross progeny of the mammary carcinoma susceptible Wistar-Furth (WF) rat strain and the resistant Wistar-Kyoto (WKy) rat strain [11]. Genetic fine-mapping using congenic recombinant rat lines resulted in the identification of three mammary carcinoma risk loci, one of which was Mcs5a [12,13]. The resistant allele of Mcs5a, when introgressed into the susceptible genetic background, is associated with an approximately 50% reduction in mammary carcinoma multiplicity. Mcs5a consists of two non-protein-coding synthetically interacting elements (Mcs5a1 and Mcs5a2) that must be located on the same chromosome to elicit the resistance phenotype. Previously, we showed that the expression levels of genes located within 1 Mb surrounding this locus, including Fbxo10, Frmpd1, and Tomm5 (partially) overlapping with the locus, were not differentially expressed in the mammary gland of susceptible congenic control and Mcs5a-resistant congenic rats. We showed that the non-protein-coding synthetically interacting elements of the resistant allele are required for the downregulation of transcript levels of the E3 ubiquitin ligase gene Fbxo10 in the thymus. The differential Fbxo10 expression between susceptible congenic control and Mcs5a-resistant congenic animals is detectable in immature, naïve, and activated T cells and not in ovary, brain [5], or other cells of the immune system [14]. The transcript levels of Tomm5 and Frmpd1 in immune tissues are not associated with the presence of the interacting genetic elements of the resistant allele [14]. The genetic interaction is facilitated by a human-rat conserved higher-order chromatin-folding structure [14]. In a case-control association study, a non-protein-coding breast cancer risk-associated allele was identified in each orthologous human locus (MCS5A1 and MCS5A2) to resolutions of approximately 5.7 Kb and approximately 26.1 Kb, respectively [5]. We recently found that the variants associated with lower breast cancer risk in the human orthologous loci MCS5A1 and MCS5A2 are located at both sides of the looped structure and functionally interact to downregulate transcriptional activity of reporter constructs transfected into a human T-lymphocytic cell line [14]. MCS5A2 (marked by the single-nucleotide polymorphism rs2182317) was recently verified as a breast cancer risk allele, modifying risk to both estrogen receptor-positive and -negative breast cancers [4].

We hypothesize that similar mechanisms underlie the rat and human Mcs5a/MCS5A breast cancer susceptibility alleles given that these reside in orthologous genomic intervals, show similar higher-order chromatin structure, and control highly similar complex traits. Congenic rat lines provide a unique opportunity to investigate the activities of this locus on the level of specific cell types in a mammalian model organism. Mcs5a is shown here to act on mammary carcinoma multiplicity beyond the initial stage of mammary epithelial cell transformation, in a non-mammary cell-autonomous manner through the immune system, and to alter homeostasis and function of specific T-cell populations.

Materials and methods

Animals

The congenic rat lines were established and maintained in a facility approved by the Association for Assessment and Accreditation of Laboratory Animal Care, as previously published [13]. All animal protocols were approved by the University of Wisconsin Medical School Animal Care and Use Committee. Congenics are defined as genetic lines that were developed on a WF (susceptible) genetic background and that carry the selected WKy (resistant) Mcs5a alleles. Resistant congenic lines ('Mcs5a'; lines WW and O) with decreased susceptibility phenotypes are WKy-homozygous at the entire Mcs5a locus [5]. The susceptible congenic control line ('susc.'; line WF.WKy) derived from the O congenic line is WF-homozygous at Mcs5a and all other identified Mcs loci. Other susceptible congenic lines are WKy-homozygous at Mcs5a1 ('Mcs5a1'; line B3) and WKy-homozygous at Mcs5a2 ('Mcs5a2'; line LL) [5].

Carcinogenesis

Female rats (age of 50 to 55 days) were orally gavaged with 7,12-dimethylbenz(a)anthracene (DMBA) at 65 mg/kg of body weight or were injected intraperitonially with N-nitroso-N-methylurea (NMU) at 50 mg/kg of body weight or were subjected to mammary ductal infusion of replication-defective retrovirus expressing the activated HER2/neu oncogene (HER2/neu) at a concentration of 5 × 105 to 1 × 106 colony-forming units (CFU) per milliliter [15]. To obtain in situ carcinomas (ISCs), female rats of 50 to 55 days of age were subjected to HER2/neu infusion at 1 × 107 CFU/mL [16]. To obtain multiplicities, mammary carcinomas of greater than 3 × 3 mm were counted at 15, 17, and 8 weeks after DMBA, NMU, or HER2/neu treatment, respectively, and ISCs were determined by counting individual carcinomas in whole-mounted abdominal mammary glands stained with aluminum carmine at 16 days after treatment. Multiplicity data were statistically analyzed by using Mann-Whitney non-parametric tests.

Mammary gland transplantation

Donor mammary glands with lymph nodes (LNs) excised (both abdominal and adjacent inguinal glands) from 30- to 35-day-old females were finely minced over ice and divided into four equal volumes. One volume was transplanted onto the interscapular white fat pad of each 30- to 35-day-old recipient (one donor per four recipients). Three weeks after transplantation, all recipients were treated with DMBA as described above. At 15 weeks after DMBA, interscapular fat pads were examined for carcinoma development. In addition, each fat pad was whole-mounted and stained with aluminum carmine to verify mammary gland establishment. As only 11 out of 213 rats developed multiple carcinomas in the transplant sites, the data were analyzed as a binary response by logistic regression. The four transplant groups (donor to recipient: susceptible to susceptible, S:S; susceptible to resistant, S:R; resistant to susceptible, R:S; and resistant to resistant, R:R) form a 2 × 2 factorial design with donor and recipient genotypes as the main effects. Standard logistic regression was applied to the binary response data with two main effects and an interaction term.

Bone marrow transplantation

At 30 to 35 days of age, recipient rats were irradiated twice with 400 (2 × 400) rads each time. The second radiation dose was given 3 hours after the first dose. Within 6 hours after irradiation, recipients were given 1 × 106 bone marrow cells from 30- to 35-day-old donors via tail vein injection. Recipients were treated with DMBA 4 weeks after transplantation. At 15 weeks after DMBA, mammary carcinomas of at least 3 × 3 mm were counted. Transplanted donor alleles were quantified by using TaqMan allelic discrimination on recipient whole-spleen genomic DNA. The quantities of transplanted donor alleles were estimated from a standard curve approach that was anchored by incorporated dilutions of WF- and WKy-homozygous DNA. The TaqMan probes (Applied Biosytems, Foster City, CA, USA) were designed to genotype a single-nucleotide polymorphism at chr5:61,634,727 in v3.4 of the rat genome.

Flow cytometry

In all flow cytometry experiments, cells were stained with fluorophore-conjugated antibodies against rat CD3, CD4, CD8, CD62L, or γδTCR (BD Biosciences, San Jose, CA, USA) or isotype controls in serum-containing media or phosphate-buffered saline/Hepes. For T-cell phenotyping, spleen or mammary inguinal LN cells were obtained by squeezing the tissue through a sterile mesh in a Petri dish containing RPMI medium. The red blood cells were lysed by a brief hypotonic shock. To obtain mammary ductal fragments, mammary glands with LN excised (both abdominal and the adjacent inguinal glands) from DMBA-treated (4 weeks after treatment) and age-matched untreated females were finely minced over ice. Each sample was exposed to 10 mL of GIBCO Dulbecco's modified Eagle's medium/F12 (DMEM/F12) (Invitrogen Corporation, Carlsbad, CA, USA) containing 0.01 g/mL of type III collagenase (Worthington Biochemical Corporation, Lakewood, NJ, USA) for 2 hours at 37°C under gentle rotation. DNAseI (Worthington Biochemical Corporation) was added to 0.2 μg/mL, and the samples were incubated for 10 minutes under vigorous shaking. Fat was removed from the pelleted cell fraction by pipetting, and the pellet was washed once with DMEM/F12. The pellet was dissolved in 5 mL of DMEM/F12 and loaded on a pre-wetted 54- μm nylon filter to collect the mammary ductal fragments. To monodispense the ductal fragments, they were washed, trypsinized, and passed through a 40- μm cell strainer. Frank mammary carcinomas were dissected from female susceptible congenic control rats at 15 weeks after DMBA. To monodisperse frank mammary carcinomas, tissue was scissor-minced finely over ice, collagenase-treated, and trypsinized as described above.

After cell staining, 50,000 cells were acquired in a BD LSR II flow cytometer (BD Biosciences). The samples were compensated using single-stained cells using BD FACS-Diva software (BD Biosciences). T-cell subpopulations (CD4+, CD8+, γδTCR+, and CD161α) were gated and the mean fluorescence intensity (MFI) of CD62L was calculated by using FlowJo software (TreeStar Inc., Ashland, OR, USA). The CD62Lhigh gate was set such that the MFI of the CD62Lhigh-expressing cells was fivefold the MFI of the total cells. For calculation of normalized MFI of CD62L, the MFI of different T-cell subpopulations in each experiment was normalized against the MFI of CD62L of CD4+ T cells in susceptible congenic control animals from that experiment. Data were statistically analyzed by using Mann-Whitney non-parametric tests. Hoechst staining was used to gate live cells containing 2n-4n DNA.

Cytokine expression measurement

Two million lymphocytes from spleen or inguinal mammary LNs were stimulated with 1 μg/mL concanavalin A (conA) (Calbiochem, now part of EMD Biosciences, Inc., San Diego, CA, USA) and were cultured in 2 mL of RPMI medium containing 10% fetal bovine serum for 24 hours at 37°C in a 95% air/5% CO2 atmosphere. Unstimulated cells served as a control. The expression levels of IL-2, IL-4, IL-6, IL-17, interferon-gamma (IFNγ), and tumor necrosis factor (TNF) cytokines in the supernatants were measured by enzyme-linked immunosorbent assay (ELISA). ELISA sets for rat IL-4, IL-6, IFNγ, and TNF were obtained from BD Biosciences. ELISA sets for rat IL-17 and IL-2 were purchased from eBioscience, Inc. (San Diego, CA, USA) and R&D Systems, Inc. (Minneapolis, MN, USA), respectively.

In vitro T-cell proliferation

Splenic lymphocytes were stained with 1 μM carboxyfluorescein succinimidyl ester (CFSE) (Invitrogen Corporation) for 8 minutes at 37°C and washed three times using ice-cold RPMI medium containing 10% fetal calf serum. Two million lymphocytes were stimulated with 1 μg/mL conA and were cultured in 2 mL of RPMI medium containing 10% fetal bovine serum for 4 days at 37°C in a 95% air/5% CO2 atmosphere. Unstimulated cells served as a control. Cells were stained with fluorochrome-conjugated antibodies against rat CD3, CD4, CD8, γδTCR, or isotype controls and fixed in 1% formaldehyde. Cell proliferation was measured by dye dilution by using a BD LSR II flow cytometer. Percentages of cells that showed a decrease in CFSE fluorescence intensity were calculated by using FlowJo software and were defined as daughter cells in various T-cell subpopulations. In each experiment, the percentage of daughter cells in different T-cell subpopulations was normalized against the percentage of CD4+ daughter T cells in the susceptible congenic control group from that experiment.

CD25 and CD134 expression and estimation of intracellular reduced thiols and mitochondrial membrane potential

Unstimulated cells and activated cells were stained with fluorochrome-conjugated antibodies against rat CD3, CD25, and CD134 or isotype controls and fixed in 1% formaldehyde, and 20,000 cells were acquired in a BD LSR II flow cytometer. Percentages of CD3+ T cells that expressed CD25 or CD134 were calculated by using FlowJo software. To measure intracellular reduced thiols, in cultured T cells, monochlorobimane (MCB) (final concentration of 40 μM, 30 minutes at 37°C) was loaded into cells. The cells were further stained with fluorochrome-conjugated rat CD3 antibody and were acquired on a flow cytometer. MCB fluorescence was measured at wavelengths of 350 nm (excitation) and 450 nm (emission). Mean MCB fluorescence in T cells was calculated by using FlowJo software. To measure mitochondrial membrane potential in cultured T cells, JC1 dye (final concentration of 2.5 μg/mL, 30 minutes at 37°C) was loaded into cells. The cells were further stained with fluorochrome-conjugated rat CD3 antibody and were acquired on a flow cytometer. JC1 was excited by using a 488-nm laser, and emission was measured at wavelengths of 530 and 575 nm. The ratio of yellow to green fluorescence in T cells was calculated by using FlowJo software.

Results

Mcs5a acts during early mammary cancer progression

The rat Mcs5a locus was fine-mapped as a DMBA-induced mammary carcinoma multiplicity phenotype. To rule out the possibility that Mcs5a affects the metabolic activation of DMBA, mammary carcinomas were induced by two additional treatments, namely carcinogenesis using the directly alkylating agent NMU and mammary ductal infusion of replication-defective retrovirus expressing the activated HER2/neu oncogene (HER2/neu) [15]. DMBA-, NMU-, and HER2/neu-induced mammary carcinoma multiplicities were compared between the susceptible congenic control line and the Mcs5a-resistant congenic line. Resistance to DMBA-, NMU-, and HER2/neu-induced mammary carcinogenesis was found to be 55%, 42%, and 42%, respectively (Figure 1a-c). Mcs5a conferred resistance to mammary carcinoma development induced by all three agents, suggesting that Mcs5a acts beyond the stage of cancer initiation. This was further investigated by assessing whether Mcs5a confers resistance to the formation of rapidly developing mammary carcinomas, termed ISCs [16]. Therefore, ISC multiplicity was determined 16 days after HER2/neu infusion. Susceptible congenic control and Mcs5a-resistant congenic rats did not differ in their average ISC multiplicity (Figure 1d). This result is compatible with a hypothesis that Mcs5a acts through a mechanism during early mammary cancer progression.

Figure 1.

Figure 1

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Mcs5a acts beyond mammary epithelial cell transformation during early cancer progression. (a) 7,12-Dimethylbenz(a)anthracene (DMBA)-induced mammary carcinoma multiplicities (susc., n = 27; Mcs5a, n = 49). (b) N-nitroso-N-methylurea (NMU)-induced mammary carcinoma multiplicities (susc., n = 29; Mcs5a, n = 28). (c) Mammary carcinoma multiplicities induced by mammary ductal infusion of retrovirus expressing the activated HER2/neu oncogene (HER2/neu) (susc., n = 15; Mcs5a, n = 15). (d) HER2/neu-induced in situ carcinoma multiplicities (susc., n = 24; Mcs5a, n = 24). Values are expressed as average ± standard error of the mean. Significance (P < 0.05) is indicated by an asterisk. Mcs5a, resistant congenic harboring the mammary carcinoma susceptibility locus 5a resistance allele; susc., susceptible congenic control.

Mcs5a acts through a non-mammary cell-autonomous mechanism

To functionally investigate whether Mcs5a acts via a mammary cell-autonomous mechanism, a mammary gland transplantation assay was conducted. Mammary gland tissue from donor susceptible congenic control or Mcs5a-resistant congenic animals was transplanted into the interscapular white fat pads of recipient congenic animals of the same or opposite Mcs5a genotype. For the four transplant groups (S:S, S:R, R:S, and R:R), transplantation efficiency and carcinoma development following DMBA exposure were monitored (Table 1). There was no difference in the mammary tissue transplantation rate associated with donor and recipient or the interaction between donor and recipient genotypes (Table 1), ensuring that graft rejection was not a confounding variable in these congenic lines. The rates of mammary carcinoma incidence at the transplant site were 52%, 31%, 45%, and 25% for transplant groups S:S, S:R, R:S, and R:R, respectively (Figure 2a). Logistic regression analysis revealed that recipient genotype (P = 0.04), but not donor genotype (P = 0.65), was significantly associated with transplant site carcinoma development (Table 1). The interaction between donor and recipient genotype was not significant (P = 0.96) for the dependent variable mammary gland transplant carcinoma susceptibility (Table 1). These data demonstrate that the mammary carcinoma susceptibility phenotype mediated by Mcs5a is not transferable by transplantation of the mammary gland, indicating that Mcs5a does not act in a mammary cell-autonomous manner.

Table 1.

Mammary gland transplantation data and logistic regression analysis

MG transplantation dataa Logistic regression analysisb
S:S S:R R:S R:R Total Independent Coefficient P value
Transplant MG present 31 72 22 88 213 MG transplantation efficiency Donor effect -0.3502 0.6449
Transplant MG absent 6 11 3 11 31 Recipient effect -0.4372 0.4423
Percentage of MG present 84% 87% 88% 89% 87% Donor × recipient 0.3389 0.7056
0 carcinomas 15 50 12 66 143
1 carcinoma 13 17 10 19 59 MG transplant carcinoma
susceptibility		 Donor effect -0.2468 0.6588
2 carcinomas 3 4 0 3 10 Recipient effect -0.8855 0.0447c
3 carcinomas 0 1 0 0 1 Donor × recipient 0.0307 0.9629
Percentage of MGs with 1 carcinoma 52% 31% 45% 25% 33%
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aTransplant groups (donor/recipient): S:S, susceptible/susceptible; S:R, susceptible/resistant; R:S, resistant/susceptible; R:R, resistant/resistant. bLogistic regression was used to estimate the effect of donor and recipient and the interaction between donor and recipient for the dependent variables mammary gland (MG) transplantation efficiency (outcome = histologically determined presence or absence of MG development at transplant site) and MG transplant carcinoma susceptibility (outcome = tumor presence or absence at transplant site) in susceptible congenic control and Mcs5a-resistant congenic reciprocal (donor, recipient) transplant groups. cStatistically significant.

Figure 2.

Figure 2

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Mcs5a acts in a non-mammary cell-autonomous fashion through cells of the immune system. (a) Percentage of transplant sites with one or more carcinomas in the mammary gland transplantation assay. Transplant groups are indicated as donor/recipient. Logistic regression analysis indicated a significant effect (P = 0.04) of the recipient on transplant site carcinoma incidence (Table 1). The animals in susceptible/susceptible (S:S), susceptible/resistant (S:R), resistant/susceptible (R:S), and resistant/resistant (R:R) transplant groups numbered 31, 72, 22, and 88, respectively. (b) 7,12-Dimethylbenz(a)anthracene-induced mammary carcinoma multiplicities (expressed as average ± standard error of the mean) after bone marrow transplantation. Transplant groups are indicated as donor/recipient. Transplant group S:R (carrying an average immune system replacement of 53%; n = 16) displays a mammary carcinoma multiplicity intermediate to transplant groups R:R (n = 17) and S:S (n = 12). Mcs5a, mammary carcinoma susceptibility locus 5a.

Mcs5a acts within immune cells to mediate mammary carcinoma susceptibility

The regulatory activity of the non-protein-coding Mcs5a locus on the expression of genes located within 1 Mb was found to manifest in the immune system and not in the mammary gland [5]. Therefore, we hypothesize that components of the immune system mediate the activity of Mcs5a in controlling the mammary carcinoma susceptibility phenotype. To evaluate this, a bone marrow transplantation assay was carried out. Mcs5a-resistant congenic and susceptible congenic control female recipients were irradiated to eliminate their bone marrow progenitor cells and grafted with bone marrow cells from either Mcs5a-resistant congenic or susceptible congenic control donors yielding four transplant groups (donor/recipient): S:S, S:R, R:S, and R:R. Graft levels of the immune system were quantified by using a TaqMan allelic discrimination assay on whole-spleen genomic DNA, with dilutions of genomic DNA of the respective homozygous Mcs5a genotypes as standards. At a dose of 2 × 400 rads, average replacement levels of greater than 50% were obtained in the S:R group in two out of four trials. Only data from the two experiments yielding greater than 50% of average replacement were included. Average replacement levels of greater than 50% were obtained in the R:S group in none of four trials and therefore could not be included in the analysis. A higher dose (2 × 500 rads) to get potentially higher levels of replacement resulted in cell killing in mammary gland and ovarian tissues at levels that preclude the development of mammary carcinomas for quantitative analysis (data not shown). At the dose of 2 × 400 rads, the average (± standard error of the mean) DMBA-induced mammary carcinoma multiplicity for the resistant control group R:R (1.4 ± 0.3) was reduced by approximately 64% as compared with the susceptible control group S:S (3.9 ± 0.4) (Figure 2b). The S:R transplant group yielded an intermediate average number of mammary carcinomas (2.2 ± 0.4). These data suggest that Mcs5a acts through components of the immune system to modulate mammary carcinoma susceptibility.

Mcs5a modulates T-cell homeostasis and functions

We used the congenic rat lines to identify the target cell type in the immune system for the gene-regulatory activity of Mcs5a. The transcript level downregulation of Fbxo10 in thymocytes, primary T cells, cultured unstimulated T cells, and cultured conA-stimulated T cells appeared to be associated with the presence of the synthetically interacting genetic elements of the resistant Mcs5a allele [14]. Using immunophenotyping assays on T cells from spleen, inguinal mammary LN, and mammary epithelium from Mcs5a-resistant congenic (Mcs5a) and susceptible congenic rat lines (susc., Mcs5a1 and Mcs5a2), we investigated whether functional characteristics and phenotypes of various T-cell subpopulations are also associated with the Mcs5a-resistant allele. If a certain phenotype is present in the Mcs5a-resistant congenic animals only and not in the susceptible congenic animals (susc., Mcs5a1 and Mcs5a2), it is associated with the Mcs5a-resistant allele. The percentages of CD4+ T cells and CD8+ T cells in the CD3+ T-cell population were found to be similar in spleens from resistant and susceptible congenic rat lines (Figure 3a, b). However, the proportion of γδTCR+ T cells among the CD3+ T cells was significantly higher (P < 0.0001) for Mcs5a-resistant congenic rats (Figure 3c).

Figure 3.

Figure 3

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Mcs5a modulates γδTCR+ T-cell homeostasis. Percentages of (a) CD4+, (b) CD8+, and (c) γδTCR+ T cells in the splenic CD3+ T-cell population from susceptible congenic control (n = 26), Mcs5a-resistant congenic (n = 26), Mcs5a1 susceptible congenic (n = 20), and Mcs5a2 susceptible congenic (n = 15) rats. The significantly different (P < 0.05) γδTCR+ T-cell population is indicated by an asterisk. Values are expressed as average ± standard error of the mean. Mcs5a, resistant congenic harboring the mammary carcinoma susceptibility locus 5a resistance allele; susc., susceptible congenic control; TCR, T-cell receptor.

The expression of L-selectin (CD62L) was significantly higher on CD4+ (P = 0.0001), CD8+ (P = 0.0036), and γδTCR+ (P = 0.0023) T cells from the spleen of the Mcs5a-resistant congenic rats (Figure 4a, b). This observation can be attributed to higher levels of CD62Lhigh-expressing cells in all T-cell subpopulations from Mcs5a-resistant congenic rats compared with the susceptible congenic rat lines (Figure 4c-e). The role of L-selectin in the homing of T cells to secondary lymphoid organs and sites of inflammation in extralymphoid organs has been well established [17]. Therefore, the composition of the T-cell compartment of the mammary epithelium of untreated and DMBA-treated rats was examined. The mammary epithelium of untreated Mcs5a-resistant congenic rats as compared with susceptible congenic control rats had equal percentages of CD3+ T cells (Figure 5a), of which CD4+ and CD8+ T cells were equal as well, but γδTCR+ T cells showed a strong trend (P = 0.055) toward overabundance (Figure 5a). After DMBA treatment, CD3+ T-cell abundance in the mammary epithelium increased in both susceptible congenic control (P = 0.031) and Mcs5a-resistant congenic (P = 0.007) rats as compared with the untreated mammary epithelium (Figure 5a). This increase is attributable to the CD8+ or γδTCR+ T cells or both and not attributable to the CD4+ T cells. Subsequently, DMBA-treated Mcs5a-resistant congenic rats were found to have significantly higher percentages of CD3+ (P = 0.016), CD8+ (P = 0.018), and/or γδTCR+ (P < 0.001) T cells and a significantly lower percentage of CD4+ T cells (P = 0.019) as compared with susceptible congenic control rats (Figure 5a). Next, we examined the same classes of T cells within DMBA-induced mammary carcinomas (Figure 5b). We found an overabundance (P = 0.048) of CD3+ T cells in the mammary carcinomas from the Mcs5a-resistant congenic rats compared with the susceptible congenic control rats. Interestingly, these CD3+ T cells consisted mainly of CD4+ and CD8+ αβTCR+ T cells, and γδTCR+ T cells were a minor population (Figure 5b). The mammary carcinoma T cells do not appear to be activated, since they did not produce IFNγ (data not shown).

Figure 4.

Figure 4

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Mcs5a increases the CD62Lhigh population among CD4+, CD8+, and γδTCR+ splenic T cells. (a) CD62L mean fluorescence intensities (MFIs) of the splenic CD4+, CD8+, and γδTCR+ T cells isolated from susceptible congenic control (open bars, n = 26) and Mcs5a-resistant congenic (filled bars, n = 29) rats. Significantly different (P < 0.05) CD62L expression is indicated by an asterisk. (b) Examples of overlaid flow cytometric histograms representing CD62L expression in CD4+, CD8+, and γδTCR+ T cells in susceptible congenic control rats (dotted black line) and Mcs5a-resistant congenic rats (solid black line). The grey dotted line and grey solid line represent fluorescence in the CD62L channel of an isotype control antibody-stained (isotype) and unstained (no ab) cell sample, respectively. The black bar represents the gate used to quantify the CD62Lhigh population in each T-cell subpopulation; the gate was set such that the MFI of the high population was fivefold that of the total cells. (c) Percentage of CD62Lhigh-gated cells among CD4+ splenic T cells. (d) Percentage of CD62Lhigh-gated cells among CD8+ splenic T cells. (e) Percentage of CD62Lhigh-gated cells among γδTCR+ splenic T cells. CD62Lhigh-expressing T cells of susceptible congenic control (susc., n = 26), Mcs5a-resistant congenic (Mcs5a, n = 26), Mcs5a1 susceptible congenic (Mcs5a1, n = 20), and Mcs5a2 susceptible congenic (Mcs5a2, n = 15) rat lines are shown. A significantly higher (P < 0.05) percentage of CD62Lhigh cells in the Mcs5a-resistant congenic line compared with the three susceptible congenic lines is indicated by an asterisk. Values in (a, c-e) are expressed as average ± standard error of the mean. Mcs5a, mammary carcinoma susceptibility locus 5a; TCR, T-cell receptor.

Figure 5.

Figure 5

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Mcs5a is associated with an increased CD3+ T-cell abundance attributable to increased γδTCR+ T-cell abundance in the mammary epithelium of DMBA-treated rats as compared with untreated rats. (a) Percentage of CD3+, CD4+, CD8+, or γδTCR+ T cells of total cells. Values are expressed as average ± standard error of the mean. Significantly higher (P < 0.05) percentages in the Mcs5a-resistant congenic rat line (Mcs5a, filled bars; -DMBA n = 6, +DMBA n = 12) compared with the susceptible congenic control line (susc., open bars; -DMBA n = 6, +DMBA n = 12) are indicated by an asterisk. Significantly higher (P < 0.05) percentage of T-cell abundance upon DMBA treatment compared with no treatment is indicated by two asterisks. (b) Infiltrating T cells in frank mammary carcinomas of susceptible (open bars, n = 11) and Mcs5a-resistant congenic rat line (filled bars, n = 12) rats. Significantly higher (P < 0.05) percentages in the Mcs5a-resistant congenic rat line compared with the susceptible congenic control line are indicated by an asterisk. (c) Expression of CD4, CD8, and CD161α on γδTCR+ T cells in mammary gland and spleen of susceptible (open bars, n = 6) and Mcs5a-resistant congenic rat line (filled bars, n = 7) rats. DMBA, 7,12-dimethylbenz(a)anthracene; Mcs5a, mammary carcinoma susceptibility locus 5a; TCR, T-cell receptor.

As a result of the observation that γδTCR+ T cells in the normal mammary epithelium seem to also express CD8 (Figure 5a), we characterized the mammary gland γδTCR+ T-cell population in comparison with the splenic γδTCR+ T-cell population (Figure 5c). In contrast to splenic γδTCR+ T cells, most of the mammary gland γδTCR+ T cells expressed the CD4, CD8, and CD161α markers simultaneously (Figure 5c).

To evaluate whether Mcs5a affects T-cell functions, cytokine and proliferation assays were carried out. ConA-activated splenic T cells from Mcs5a-resistant congenic rats produced significantly higher levels of Th1 cytokines IL-2 (P = 0.0001), IFNγ (P = 0.0033), and TNF (P = 0.0045) as compared with T cells from susceptible congenic control rats (Figure 6a). These differences were found to be more pronounced when analyzing the conA-induced Th1 cytokine production of T cells from inguinal mammary LNs (Figure 6b). The differential production of Th1 cytokines by susceptible congenic control and Mcs5a-resistant congenic rats was maintained after DMBA treatment (Figure 6a, b). The conA-induced production of Th2 cytokines IL-4 (P = 0.61) and IL-6 (P = 0.27) and the Th17 cytokine IL-17 (P = 0.16) by splenic T cells was not significantly different (Figure 6c). Interestingly, mitogen (conA)-induced proliferation of different splenic T-cell subpopulations was also significantly different in Mcs5a-resistant congenic rats as compared with susceptible congenic control rats. The percentage of daughter cells that had undergone more than two divisions was significantly higher in CD4+ (P < 0.0001), CD8+ (P < 0.0001), and γδTCR+ (P = 0.0009) T cells from Mcs5a-resistant congenic rats as compared with the susceptible congenic control rats (Figure 6d). As a result, the percentage of total T cells at the end of the proliferation experiment was increased in the Mcs5a-resistant congenic samples (Figure 6e).

Figure 6.

Figure 6

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Mcs5a allele is associated with increased concanavalin A (conA)-induced Th1 cytokine production and proliferation. (a) Interleukin-2 (IL-2), interferon-gamma (IFNγ), or tumor necrosis factor (TNF) concentrations (in picograms per milliliter) in the media produced by cultured T cells from spleens of susceptible congenic control (susc., open bars; -DMBA n = 30, +DMBA n = 8) and Mcs5a congenic resistant (Mcs5a, filled bars; -DMBA n = 30, +DMBA n = 8) rats without or with conA stimulation. (b) IL-2, IFNγ, or TNF concentrations (in picograms per milliliter) in the media produced by cultured T cells from inguinal mammary lymph nodes (LNs) of susceptible congenic control (open bars; -DMBA n = 8, +DMBA n = 8) and Mcs5a congenic resistant (filled bars; -DMBA n = 8, +DMBA n = 8) rats without or with conA stimulation. (c) IL-4, IL-6, or IL-17 concentrations (in picograms per milliliter) in the media produced by cultured T cells from spleens of susceptible congenic control (open bars, n = 22) and Mcs5a congenic resistant (filled bars, n = 22) rats without or with conA stimulation. (d) Percentage of second- and later-generation daughter cells among CD4+, CD8+, and γδTCR+ T cells from susceptible congenic control (open bars, n = 24) and Mcs5a-resistant congenic (filled bars, n = 26) rats without or with conA stimulation. Significantly different (P < 0.05) cytokine production or proliferation between susceptible congenic control and Mcs5a-resistant congenic rat lines is indicated by an asterisk. Values are expressed as average ± standard error of the mean. DMBA, 7,12-dimethylbenz(a)anthracene; Mcs5a, mammary carcinoma susceptibility locus 5a; TCR, T-cell receptor.

We looked at the expression of markers CD25 and CD134 in the T cells without or with conA stimulation. The expression of CD25 was lower (P = 0.02) in the Mcs5a-resistant congenic animals after conA stimulation (Figure S1A of Additional file 1). The expression of CD134 was not different between susceptible and Mcs5a-resistant congenic animals (Figure S1B of Additional file 1). Finally, we looked at the reduced thiol levels and mitochondrial membrane potential in the T cells without or with conA stimulation. Both of these parameters were significantly higher in the Mcs5a-resistant congenic animals (P = 0.007 and P < 0.001) after conA stimulation.

Discussion

MCS5A/Mcs5a is a non-protein-coding locus that associates with breast cancer risk in women and rats. Here, we have shown that the resistant rat Mcs5a allele prevents cancer induced by three distinctly acting mammary carcinoma-inducing treatments, indicating that Mcs5a does not control a specific initial step of mammary epithelial cell transformation. In addition, formation of ISCs [15] was not affected by Mcs5a, suggesting that Mcs5a acts during early carcinoma progression. In the mammary gland transplantation assay, it was demonstrated that Mcs5a acts in a non-mammary cell-autonomous fashion. This, together with the observation that Fbxo10 differential expression manifests only in T cells [14], led to the hypothesis that Mcs5a does not solely function in the mammary parenchyma to modulate mammary cancer susceptibility but instead acts through the immune system. To assess the involvement of the immune system, we conducted a bone marrow transplantation assay, in which we used irradiation to eliminate the recipient rat bone marrow in order to replace it with bone marrow cells from donor rats of the same or opposite Mcs5a genotype. At the maximal dose of radiation, only partial replacement could be achieved as a higher dose of radiation resulted in ovarian and mammary organ damage that compromised mammary carcinoma development. At the maximal dose of radiation, the mammary carcinoma multiplicities of the control transplant groups S:S and R:R were approximately twofold lower compared with the average DMBA-induced mammary carcinoma multiplicity routinely obtained in non-irradiated rats of the same genotypes (Figure 1a) and this was due to radiation organ damage. Nevertheless, partial replacement (average of greater than 50%) of the immune cells of the Mcs5a-resistant congenic rats with immune cells of the susceptible congenic control rats (transplant group S:R) yielded a mammary carcinoma multiplicity intermediate to the control transplant groups R:R and S:S. This intermediate phenotype of partially reconstituted rats is quantitatively comparable to the intermediate mammary carcinoma multiplicity phenotype of rats that are genetically heterozygous for the Mcs5a-resistant allele [5]. We concluded that Mcs5a acts through components of the immune system to modulate mammary carcinoma multiplicity.

Specific T-cell phenotypes are also under control of the synthetically interacting Mcs5a elements that control Fbxo10 transcript levels and mammary carcinoma multiplicity. We found an overabundance of γδTCR+ T cells (important in mucosal cell surface surveillance), but not CD4+ (T helper) and CD8+ (cytotoxic) T cells, in the spleen of Mcs5a-resistant congenic rats compared with susceptible congenic rats. In addition, the CD4+, CD8+, and γδTCR+ T-cell populations harbored an increased percentage of CD62Lhigh-expressing cells in Mcs5a-resistant congenic rats. The resistant Mcs5a allele was also found to be associated with an increased proliferation rate of activated splenic T cells as well as the production of the Th1 cytokines IL-2, IFNγ, and TNF of activated T cells from spleen and, to a greater extent, from inguinal mammary LNs. The production of Th2 or Th17 cytokines was not affected by Mcs5a. T cells from Mcs5a-resistant congenic rats showed lower CD25 expression (IL2Rα) but higher cellular reduced thiol levels and mitochondrial membrane potential and increased IL-2 production. Considering these results, we propose that higher proliferative response in Mcs5a-resistant congenic T cells could be due primarily to increased cytokine signaling and lower oxidative stress.

Considering the altered T-cell homeostasis and functionality associated with the resistant Mcs5a allele, we speculate that T cells act at the mammary gland to control mammary carcinoma susceptibility. To begin to explore this hypothesis, we compared the T-cell population within the mammary epithelium between the susceptible congenic control and the Mcs5a-resistant congenic rats. We found a higher abundance of mammary epithelium-residing CD3+ T cells, mainly consisting of γδTCR+ T cells in the DMBA-treated Mcs5a-resistant congenic rats. In contrast to the splenic γδTCR+ T cells, most of the γδTCR+ T cells in the mammary gland are double-positive for CD4 and CD8 and also expressed NK-receptor P1 CD161α. This result suggests that the mammary γδTCR+ T cells may harbor increased cytotoxic characteristics that are potentially capable of killing emerging tumor cells. In contrast to normal and carcinogen-exposed mammary gland, frank mammary carcinomas have a low abundance of γδTCR+ T cells. The mammary carcinoma T-cell population consists mainly of αβTCR+ T cells. This raises an interesting possibility that immunoprevention of breast cancer versus breast cancer therapy may need to focus on different T-cell class targets, namely γδTCR+ T cells for prevention and αβTCR+ T cells for therapy.

Increased γδTCR+ T-cell abundance in the mammary epithelium is consistent with the observations that Mcs5a-resistant congenic rats have an increased population of CD62Lhigh-expressing T cells and that CD62L (L-selectin) expression was highest in γδTCR+ as compared with CD4+ and CD8+ splenic T cells (Figure 4a). L-selectin is a cell adhesion protein involved in leukocyte-endothelial 'rolling' to facilitate extravasation of leukocytes from blood and lymphatic vessels and in homing of leukocytes to secondary LNs and tumors in extralymphoid organs [17-19].

Interestingly, γδTCR+ T cells have been implicated in the protection against breast cancer in women. Decreased peripheral abundance of γδTCR+ T cells and their diminished IFNγ production were recently shown to be associated with breast cancer [20]. Treatment of osteoporosis with bisphosphonates, compounds known as γδTCR+ T-cell agonists [21], has been associated with reduced breast cancer risk [22]. Additionally, the Th1 cytokine IFNγ was implicated in tumor immune surveillance in mice [23].

Here, we have shown that the human-rat conserved non-protein-coding MCS5A/Mcs5a locus acts in a non-mammary cell-autonomous fashion through the immune system and modifies the homeostasis and functions of T cells. Each of these phenotypes or a combination of them has the potential to underlie the mammary carcinoma resistance phenotype mediated by the resistant Mcs5a allele. Possible mechanisms include immune surveillance or immune cell-produced Th1 cytokines altering the cellular composition/differentiation of the mammary parenchyma or both. In the future, additional mechanistic studies on the immunological aspect of Mcs5a will address the contribution of each of the observed T-cell phenotypes to Mcs5a-mediated mammary carcinoma resistance.

Conclusions

The non-protein-coding human-rat conserved mammary carcinoma susceptibility locus Mcs5a modulates mammary tumor multiplicity through a mechanism beyond the initial stage of epithelial cell transformation, during early cancer progression. Mcs5a acts in a non-mammary cell-autonomous manner through the immune system. The resistant allele is associated with an overabundance of γδTCR+ T cells in the spleen, an overabundance of CD62Lhigh-expressing cells of all T-cell classes, and, importantly, an overabundance of γδTCR+ T cells (CD4+, CD8+, and CD161α+) in the mammary epithelium after treatment with the carcinogen DMBA. γδTCR+ T cells are the most abundant T-cell class in the mammary epithelium but not in mammary carcinomas. The resistant Mcs5a allele is also associated with increased proliferation and Th1, but not Th2 or Th17, cytokine secretion of activated T cells. We hypothesize that the resistant Mcs5a allele acts through specific cells of the immune system to prevent mammary carcinoma development.

Abbreviations

CFSE: carboxyfluorescein succinimidyl ester; CFU: colony-forming unit; ConA: concanavalin A; DMBA: 7,12-dimethylbenz(a)anthracene; DMEM/F12: Dulbecco's modified Eagle's medium/F12; ELISA: enzyme-linked immunosorbent assay; IFNγ: interferon-gamma; IL: interleukin; ISC: in situ carcinoma; LN: lymph node; MCB: monochlorobimane; Mcs5a: mammary carcinoma susceptibility locus 5a; MFI: mean fluorescence intensity; NMU: N-nitroso-N-methylurea; R: resistant; S: susceptible; susc.: susceptible congenic control; TCR: T-cell receptor; TNF: tumor necrosis factor; WF: Wistar-Furth; WKy: Wistar-Kyoto.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

BMGS, DS, and DJS performed experiments, analyzed data, and drafted the manuscript. SW and JDH performed experiments and analyzed data. BM designed statistical approaches and analyzed data. MNG conceived the study, participated in the design of the study, and helped to draft the manuscript. All authors read and approved the final manuscript.

Supplementary Material

Additional file 1

Mcs5a and T-cell associations. Mcs5a is associated with decreased conA-induced CD25 upregulation in T-cells (Figure S1). Mcs5a is associated with activation induced changes in reduced thiol levels and mitochondrial membrane potential T-cells (Figure S2).

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See related editorial by Blackburn, http://breast-cancer-research.com/content/13/5/112

Contributor Information

Bart MG Smits, Email: bsmits@wisc.edu.

Deepak Sharma, Email: dsharma3@wisc.edu.

David J Samuelson, Email: david.samuelson@louisville.edu.

Stephan Woditschka, Email: swoditschka@gmail.com.

Bob Mau, Email: bobmau@biotech.wisc.edu.

Jill D Haag, Email: jhaag@facstaff.wisc.edu.

Michael N Gould, Email: gould@oncology.wisc.edu.

Acknowledgements

We thank Kathy Schell, Joel Puchalski, and Dagna Sheerar of the Paul P. Carbone Comprehensive Cancer Center Flow Cytometry Core for their expertise, assistance, and service. This research was supported by National Institutes of Health/National Cancer Institute grant R01-CA123272, US Department of Defense (DOD) Postdoctoral Award W81XWH-07-1-0404 to BMGS, DOD Postdoctoral Fellowship DAMD17-03-1-0280 to DJS, and DOD Predoctoral Traineeship W81XWH-04-1-0312 to SW.

References

  1. Ahmed S, Thomas G, Ghoussaini M, Healey CS, Humphreys MK, Platte R, Morrison J, Maranian M, Pooley KA, Luben R, Eccles D, Evans DG, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Stratton MR, Rahman N, Jacobs K, Prentice R, Anderson GL, Rajkovic A, Curb JD, Ziegler RG, Berg CD, Buys SS, McCarty CA, Feigelson HS, Calle EE, Thun MJ. et al. Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2. Nat Genet. 2009;41:585–590. doi: 10.1038/ng.354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Easton DF, Pooley KA, Dunning AM, Pharoah PD, Thompson D, Ballinger DG, Struewing JP, Morrison J, Field H, Luben R, Wareham N, Ahmed S, Healey CS, Bowman R, Meyer KB, Haiman CA, Kolonel LK, Henderson BE, Le Marchand L, Brennan P, Sangrajrang S, Gaborieau V, Odefrey F, Shen CY, Wu PE, Wang HC, Eccles D, Evans DG, Peto J, Fletcher O. et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature. 2007;447:1087–1093. doi: 10.1038/nature05887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Hunter DJ, Kraft P, Jacobs KB, Cox DG, Yeager M, Hankinson SE, Wacholder S, Wang Z, Welch R, Hutchinson A, Wang J, Yu K, Chatterjee N, Orr N, Willett WC, Colditz GA, Ziegler RG, Berg CD, Buys SS, McCarty CA, Feigelson HS, Calle EE, Thun MJ, Hayes RB, Tucker M, Gerhard DS, Fraumeni JF Jr, Hoover RN, Thomas G, Chanock SJ. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet. 2007;39:870–874. doi: 10.1038/ng2075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Mavaddat N, Dunning AM, Ponder BA, Easton DF, Pharoah PD. Common genetic variation in candidate genes and susceptibility to subtypes of breast cancer. Cancer Epidemiol Biomarkers Prev. 2009;18:255–259. doi: 10.1158/1055-9965.EPI-08-0704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Samuelson DJ, Hesselson SE, Aperavich BA, Zan Y, Haag JD, Trentham-Dietz A, Hampton JM, Mau B, Chen KS, Baynes C, Khaw KT, Luben R, Perkins B, Shah M, Pharoah PD, Dunning AM, Easton DF, Ponder BA, Gould MN. Rat Mcs5a is a compound quantitative trait locus with orthologous human loci that associate with breast cancer risk. Proc Natl Acad Sci USA. 2007;104:6299–6304. doi: 10.1073/pnas.0701687104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Stacey SN, Manolescu A, Sulem P, Rafnar T, Gudmundsson J, Gudjonsson SA, Masson G, Jakobsdottir M, Thorlacius S, Helgason A, Aben KK, Strobbe LJ, Albers-Akkers MT, Swinkels DW, Henderson BE, Kolonel LN, Le Marchand L, Millastre E, Andres R, Godino J, Garcia-Prats MD, Polo E, Tres A, Mouy M, Saemundsdottir J, Backman VM, Gudmundsson L, Kristjansson K, Bergthorsson JT, Kostic J. et al. Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007;39:865–869. doi: 10.1038/ng2064. [DOI] [PubMed] [Google Scholar]
  7. Stacey SN, Manolescu A, Sulem P, Thorlacius S, Gudjonsson SA, Jonsson GF, Jakobsdottir M, Bergthorsson JT, Gudmundsson J, Aben KK, Strobbe LJ, Swinkels DW, van Engelenburg KC, Henderson BE, Kolonel LN, Le Marchand L, Millastre E, Andres R, Saez B, Lambea J, Godino J, Polo E, Tres A, Picelli S, Rantala J, Margolin S, Jonsson T, Sigurdsson H, Jonsdottir T, Hrafnkelsson J. et al. Common variants on chromosome 5p12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2008;40:703–706. doi: 10.1038/ng.131. [DOI] [PubMed] [Google Scholar]
  8. Thomas G, Jacobs KB, Kraft P, Yeager M, Wacholder S, Cox DG, Hankinson SE, Hutchinson A, Wang Z, Yu K, Chatterjee N, Garcia-Closas M, Gonzalez-Bosquet J, Prokunina-Olsson L, Orr N, Willett WC, Colditz GA, Ziegler RG, Berg CD, Buys SS, McCarty CA, Feigelson HS, Calle EE, Thun MJ, Diver R, Prentice R, Jackson R, Kooperberg C, Chlebowski R, Lissowska J. et al. A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1) Nat Genet. 2009;41:579–584. doi: 10.1038/ng.353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Zheng W, Long J, Gao YT, Li C, Zheng Y, Xiang YB, Wen W, Levy S, Deming SL, Haines JL, Gu K, Fair AM, Cai Q, Lu W, Shu XO. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat Genet. 2009;41:324–328. doi: 10.1038/ng.318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Turnbull C, Ahmed S, Morrison J, Pernet D, Renwick A, Maranian M, Seal S, Ghoussaini M, Hines S, Healey CS, Hughes D, Warren-Perry M, Tapper W, Eccles D, Evans DG, Hooning M, Schutte M, van den Ouweland A, Houlston R, Ross G, Langford C, Pharoah PD, Stratton MR, Dunning AM, Rahman N, Easton DF. Genome-wide association study identifies five new breast cancer susceptibility loci. Nat Genet. 2010;42:504–507. doi: 10.1038/ng.586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Lan H, Kendziorski CM, Haag JD, Shepel LA, Newton MA, Gould MN. Genetic loci controlling breast cancer susceptibility in the Wistar-Kyoto rat. Genetics. 2001;157:331–339. doi: 10.1093/genetics/157.1.331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Samuelson DJ, Aperavich BA, Haag JD, Gould MN. Fine mapping reveals multiple loci and a possible epistatic interaction within the mammary carcinoma susceptibility quantitative trait locus, Mcs5. Cancer Res. 2005;65:9637–9642. doi: 10.1158/0008-5472.CAN-05-1498. [DOI] [PubMed] [Google Scholar]
  13. Samuelson DJ, Haag JD, Lan H, Monson DM, Shultz MA, Kolman BD, Gould MN. Physical evidence of Mcs5, a QTL controlling mammary carcinoma susceptibility, in congenic rats. Carcinogenesis. 2003;24:1455–1460. doi: 10.1093/carcin/bgg112. [DOI] [PubMed] [Google Scholar]
  14. Smits BMG, Traun BD, Devries TL, Tran A, Samuelson DJ, Haag JD, Gould MN. An insulator loop resides between the synthetically interacting elements of the human/rat conserved breast cancer susceptibility locus MCS5A/Mcs5a. Nucleic Acids Res. in press . [DOI] [PMC free article] [PubMed]
  15. Woditschka S, Haag JD, Waller JL, Monson DM, Hitt AA, Brose HL, Hu R, Zheng Y, Watson PA, Kim K, Lindstrom MJ, Mau B, Steele VE, Lubet RA, Gould MN. Neu-induced retroviral rat mammary carcinogenesis: a novel chemoprevention model for both hormonally responsive and nonresponsive mammary carcinomas. Cancer Res. 2006;66:6884–6891. doi: 10.1158/0008-5472.CAN-05-1823. [DOI] [PubMed] [Google Scholar]
  16. Woditschka S, Haag JD, Sullivan R, Gould MN. A short-term rat mammary carcinogenesis model for the prevention of hormonally responsive and nonresponsive in situ carcinomas. Cancer Prev Res (Phila Pa) 2009;2:153–160. doi: 10.1158/1940-6207.CAPR-08-0114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Ley K, Kansas GS. Selectins in T-cell recruitment to non-lymphoid tissues and sites of inflammation. Nat Rev Immunol. 2004;4:325–335. doi: 10.1038/nri1351. [DOI] [PubMed] [Google Scholar]
  18. Xu J, Grewal IS, Geba GP, Flavell RA. Impaired primary T cell responses in L-selectin-deficient mice. J Exp Med. 1996;183:589–598. doi: 10.1084/jem.183.2.589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Gallatin WM, Weissman IL, Butcher EC. A cell-surface molecule involved in organ-specific homing of lymphocytes. Nature. 1983;304:30–34. doi: 10.1038/304030a0. [DOI] [PubMed] [Google Scholar]
  20. Gaafar A, Aljurf MD, Al-Sulaiman A, Iqniebi A, Manogaran PS, Mohamed GE, Al-Sayed A, Alzahrani H, Alsharif F, Mohareb F, Ajarim D, Tabakhi A, Al-Hussein K. Defective gammadelta T-cell function and granzyme B gene polymorphism in a cohort of newly diagnosed breast cancer patients. Exp Hematol. 2009;37:838–848. doi: 10.1016/j.exphem.2009.04.003. [DOI] [PubMed] [Google Scholar]
  21. Dieli F, Vermijlen D, Fulfaro F, Caccamo N, Meraviglia S, Cicero G, Roberts A, Buccheri S, D'Asaro M, Gebbia N, Salerno A, Eberl M, Hayday AC. Targeting human {gamma}delta} T cells with zoledronate and interleukin-2 for immunotherapy of hormone-refractory prostate cancer. Cancer Res. 2007;67:7450–7457. doi: 10.1158/0008-5472.CAN-07-0199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Newcomb PA, Trentham-Dietz A, Hampton JM. Bisphosphonates for osteoporosis treatment are associated with reduced breast cancer risk. Br J Cancer. 2010;102:799–802. doi: 10.1038/sj.bjc.6605555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kaplan DH, Shankaran V, Dighe AS, Stockert E, Aguet M, Old LJ, Schreiber RD. Demonstration of an interferon gamma-dependent tumor surveillance system in immunocompetent mice. Proc Natl Acad Sci USA. 1998;95:7556–7561. doi: 10.1073/pnas.95.13.7556. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1

Mcs5a and T-cell associations. Mcs5a is associated with decreased conA-induced CD25 upregulation in T-cells (Figure S1). Mcs5a is associated with activation induced changes in reduced thiol levels and mitochondrial membrane potential T-cells (Figure S2).

Click here for file (283.7KB, PDF)

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