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Single nucleotide polymorphisms associated with risk for contralateral breast cancer in the Women's Environment, Cancer, and Radiation Epidemiology (WECARE) Study

Sharon N Teraoka12*, Jonine L Bernstein3, Anne S Reiner3, Robert W Haile4, Leslie Bernstein5, Charles F Lynch6, Kathleen E Malone7, Marilyn Stovall8, Marinela Capanu3, Xiaolin Liang3, Susan A Smith8, Josyf Mychaleckyj19, Xuanlin Hou1, Lene Mellemkjaer10, John D Boice1112, Ashley Siniard13, David Duggan13, Duncan C Thomas4 and The WECARE Study Collaborative Group, and Patrick Concannon12

Author Affiliations

1 Center for Public Health Genomics, University of Virginia, P.O. Box 800717, Charlottesville, VA, 22908-0717, USA

2 Department of Biochemistry and Molecular Genetics, University of Virginia, P.O. Box 800733, Charlottesville, VA, USA

3 Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 East 63rd Street, 3rd Floor, New York, NY, 10065, USA

4 Department of Preventive Medicine, Norris Comprehensive Cancer Center, University of Southern California, 1441 Eastlake Avenue, Los Angeles, CA, 90033, USA

5 Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, City of Hope, 1500 East Duarte Road, Duarte, CA, 91010, USA

6 Department of Epidemiology, University of Iowa, E220 General Hospital, Iowa City, IA, 52242, USA

7 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA

8 Department of Radiation Physics, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd. unit 544, Houston, TX, 77030, USA

9 Department of Public Health Sciences, P.O. Box 800717, University of Virginia, Charlottesville, VA, 22908-0717, USA

10 Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, DK-2100, Copenhagen, Denmark

11 International Epidemiology Institute, 1455 Research Boulevard, Suite 550, Rockville, MD, 20850-6115, USA

12 Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 691 Preston Building, Nashville, TN, 37232-6838, USA

13 Translational Genomic Research Institute (TGen), 445 N. Fifth Street, Phoenix, AZ, 85004, USA

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Breast Cancer Research 2011, 13:R114  doi:10.1186/bcr3057

The electronic version of this article is the complete one and can be found online at:

Received:20 June 2011
Revisions received:14 November 2011
Accepted:17 November 2011
Published:17 November 2011

© 2011 Teraoka et al.; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.



Genome-wide association studies, focusing primarily on unilateral breast cancer, have identified single nucleotide polymorphisms (SNPs) in a number of genomic regions that have alleles associated with a significantly increased risk of breast cancer. In the current study we evaluate the contributions of these previously identified regions to the risk of developing contralateral breast cancer. The most strongly disease-associated SNPs from prior studies were tested for association with contralateral breast cancer. A subset of these SNPs, selected upon their main effects on contralateral breast cancer risk was further evaluated for interaction with treatment modalities and estrogen receptor (ER) status.


We genotyped 21 SNPs in 708 women with contralateral breast cancer and 1394 women with unilateral breast cancer who serve as the cases and controls in the Women's Environment, Cancer and Radiation Epidemiology (WECARE) Study. Records of treatment and ER status were available for most of WECARE Study participants. Associations of SNP genotypes and risk for contralateral breast cancer were calculated with multivariable adjusted conditional logistic regression methods.


Multiple SNPs in the FGFR2 locus were significantly associated with contralateral breast cancer, including rs1219648 (per allele rate ratio (RR) = 1.25, 95%CI = 1.08-1.45). Statistically significant associations with contralateral breast cancer were also observed at rs7313833, near the PTHLH gene (per allele RR = 1.26, 95%CI = 1.08-1.47), rs13387042 (2q35) (per allele RR = 1.19, 95%CI = 1.02-1.37), rs13281615 (8q24) (per allele RR = 1.21, 95%CI = 1.04-1.40), and rs11235127 near TMEM135 (per allele RR = 1.26, 95%CI = 1.04-1.53). The A allele of rs13387042 (2q35) was significantly associated with contralateral breast cancer in ER negative first tumors while the A allele of rs11235127 (near TMEM135) was significantly associated with contralateral breast cancer in ER positive first tumors. Although some SNP genotypes appeared to modify contralateral breast cancer risk with respect to tamoxifen treatment or particular radiation doses, trend tests for such effects were not significant.


Our results indicate that some common risk variants associated with primary breast cancer also increase risk for contralateral breast cancer, and that these risks vary with the ER status of the first tumor.


Patients with breast cancer are two to five times more likely to develop a second primary cancer in the contralateral breast than are unaffected women to develop an initial breast cancer [1-4]. Established risk factors for asynchronous second primary contralateral breast cancer (CBC) include those suggesting a genetic basis, such as early age at diagnosis or family history [1], as well as exogenous factors such as the treatment for the first breast cancer [5,6]. Prior genome-wide association studies (GWASs) have identified regions of the genome containing single-nucleotide polymorphisms (SNPs) with alleles that are associated with an increased risk for breast cancer [7-9]. Many of these SNPs were also reported to be associated with estrogen receptor (ER)-positive breast cancer [9-11]. For the most part, the specific causative variants in these regions and their mechanisms of action remain to be elucidated. In the present study, we evaluated the contributions of these identified loci to risk for CBC.

Our study builds on an existing, population-based, epidemiologic study of CBC: the Women's Environment, Cancer, and Radiation Epidemiology (WECARE) Study. The WECARE study is a nested case-control study in which women with CBC (n = 708) serve as cases and women with unilateral breast cancer (UBC) (n = 1,394) serve as controls [12]. This study population is well characterized for treatment-related exposures, including radiation therapy (RT) (including dose to the contralateral breast), chemotherapy, and hormonal therapy, enabling examination of the interaction of genetic risk factors and cancer therapy. Previous reports from the WECARE Study have shown that RT for a first cancer was associated with an increased risk of CBC [6] but that chemotherapy and tamoxifen treatment were associated with a lower risk of CBC [5]. These treatment effects were further modulated by genetic background. For example, missense variants in the ATM gene were associated with an increased risk of CBC in women who were treated with radiation for their first primary breast tumors [13].

In the present study, we genotyped 21 SNPs representing 18 genomic regions in the WECARE Study population. These SNPs were selected on the basis of their having attained either genome-wide significant evidence or suggestive evidence of association with breast cancer in a prior GWAS that included at least one replication in a separate population. Furthermore, we assessed the interaction of these SNPs with radiation dose to the contralateral breast, chemotherapy, tamoxifen therapy, and ER status.

Materials and methods

Study population

The WECARE Study is a multicenter, population-based, nested case-control study of 708 cases (women with asynchronous bilateral breast cancer) and 1,394 controls (women with UBC) recruited through five population-based cancer registries: one registry covering all of Denmark and, in the US, one registry covering Iowa, two registries covering three counties in Southern California, and one registry covering three counties in Washington State. The controls were individually matched 2:1 to cases on date and age at diagnosis of the first primary breast tumors, race, and registry region and were counter-matched on registry-reported RT. Each case-control triplet consists of two women who received RT and one who did not, maximizing informativeness for radiation exposure [12]. For 12 cases with only one matched control, matched pairs consisted of one exposed and one unexposed woman [12]. The WECARE Study protocol was approved by the institutional review board at each site and the ethics committee system in Denmark, and informed consent was obtained from all participants.

Treatments and phenotypes

Medical records were retrieved to obtain detailed information on the treatment of the first breast cancer (chemotherapy, hormonal therapy, and radiotherapy) during the at-risk period (time between first and second primary diagnoses) and other tumor characteristics, including ER status [5,6].

Radiation dosimetry

Estimated absorbed radiation doses to various specific contralateral breast locations were reconstructed for each treatment regimen by using tissue-equivalent phantoms and modeling procedures as described previously [6,12]. Dosage information was available for 604 to 607 cases and 1,184 to 1,195 controls, depending on the number of genotyped individuals per SNP.

Single-nucleotide polymorphism selection

Twenty-one SNPs were selected from among those most associated with breast cancer in three prior GWASs [7-9]. All of these prior studies included at least one replication in a separate population. Nine of the SNPs were associated with breast cancer in prior studies at genome-wide significance levels (P < 10-7). These were rs2981582, rs12443621, rs8051542, rs889312, rs3817198, and rs13281615 from Easton and colleagues [7]; rs1219648 from Hunter and colleagues [8]; rs13387042 from Stacey and colleagues [9]; and rs3803662 reported in both Stacey and colleagues [9] and Easton and colleagues [7]. The remaining 12 SNPs were described as showing evidence of association (global P = 0.001 in three populations) in Easton and colleagues [7] and were listed in the supplemental materials of those authors.


Multiplex SNP genotyping was carried out with the Illumina Golden Gate™ assay on the Sentrix Array Matrix scanned with the Bead Array Reader (Illumina Inc., San Diego, CA, USA). To avoid any bias in the calling of genotypes, all DNA samples were coded and laboratory personnel were blinded to case-control status. A blinded 24% re-sampling was carried out for quality control purposes and these samples were interspersed throughout the plates. Negative controls lacking DNA were included on each plate. Results from a subset of SNPs previously genotyped by an individual SNP method, the MGB Eclipse™ Probe System (Epoch Biosciences, ELITech Group, Paris, France), were concordant with the multiplex genotyping results. Samples with more than 10% missing genotypes and SNPs with more than 5% missing genotypes were excluded from analysis. Although Hardy-Weinberg equilibrium may not strictly apply given that all participants in the study were affected with breast cancer, SNPs deviating from Hardy-Weinberg equilibrium with a P value of less than 0.001 were also excluded.


Common SNPs (minor allele frequency of greater than 0.1) in the FGFR2 intron 2 region near SNP rs2981582 were selected from the HapMap Project [14]. The Tagger program within Haploview [15] was used to select SNPs informative for the region with an r2 of greater than 0.8. The program PLINK [16] was used to estimate phase. These tagging SNPs were genotyped with the MGB Eclipse™ Probe System. In the haplotype analysis, the referent group for each haplotype consists of those without that haplotype.

Statistical analysis

The WECARE Study is based on a standard nested case-control design with the additional feature of counter-matching on radiotherapy status. All analyses were conducted with multivariable adjusted conditional logistic regression methods, incorporating an 'offset term' or weight to adjust appropriately for the counter-matched sampling [12]. For the SNP main effects analysis, P value for trend was from the log-additive model. The test for trend in Table 1 assessed the hypothesis that CBC risk increases with radiation dose and risk allele 'dose'. Trend tests had 1 degree of freedom. All analyses were performed with SAS (Statistical Analysis System) (SAS Institute Inc., Cary, NC, USA).

Table 1. Risk of contralateral breast cancer associated with radiation dose by single-nucleotide polymorphism genotype


The risk of CBC associated with each of the 21 SNPs from 18 genomic regions selected from prior GWASs of UBC [7-9] is shown in Table 2. We observed statistically significant associations with CBC at four of nine SNPs previously reported to be associated with breast cancer at genome-wide significance levels (P < 10-7): rs2981582 (per-allele rate ratio (RR) = 1.20, 95% confidence interval (CI) = 1.04 to 1.40) and rs1219648 (per-allele RR = 1.25, 95% CI = 1.08 to 1.45) at 10q26 in the FGFR2 gene, rs13281615 in the 8q24 region (per-allele RR = 1.21, 95% CI = 1.04 to 1.40), and rs13387042 in the 2q35 region (per-allele RR = 1.19, 95% CI = 1.02 to 1.37). We observed statistically significant associations with CBC at two of the remaining 12 SNPs: rs7313833, located on chromosome 12p in the vicinity of the PTHLH gene (per-allele RR = 1.26, 95% CI = 1.08 to 1.47), and rs11235127 on chromosome 11q14.2 near TMEM135 (per-allele RR = 1.26, 95% CI = 1.04 to 1.53). Excluding BRCA1/2 carriers (who constitute 5.4% of the WECARE Study population [17,18]) from the present analysis did not markedly alter the results for any of the SNPs tested here (data not shown).

Table 2. Risk of contralateral breast cancer associated with single-nucleotide polymorphisms reported in prior breast cancer genome-wide association studies

To refine the observed association between CBC and SNPs in the vicinity of FGFR2, we genotyped five haplotype-tagging SNPs, in addition to rs2981582, in all 2,102 available WECARE Study participants and found alleles at four of the six SNPs that were individually associated with risk of CBC (Additional file 1, Table S1). Whereas the risk alleles at these SNPs occurred individually on a number of haplotypes, they occurred together on only two, of which only one was significantly associated with an increased risk of CBC (Additional file 1, Table S2).

Additional file 1. Table S1. Risk of Contralateral breast cancer associated with FGFR2 SNPs. Table S2: Risk of Contralateral breast cancer associated with FGFR2 haplotypes.

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For SNPs with a P value of less than 0.1 for main effects in Table 2, we carried out additional exploratory analyses considering the effect on CBC risk of treatment or tumor characteristics of the first cancer. Previous studies have shown that SNP alleles with main effects on the risk for breast cancer can sometimes be associated with specific subtypes of breast cancer [10,11,19]. In Table 3, the association of SNPs with CBC was assessed for heterogeneity with respect to the ER status of the first primary tumor. The risk variant at rs13387402 (2q35) was associated with CBC only in individuals with ER-negative first tumors (interaction P value = 0.0008). The risk variant at rs11235127 (near TMEM135) was associated with CBC only in individuals with ER-positive first tumors (interaction P value of not more than 0.01).

Table 3. Risk of contralateral breast cancer associated with single-nucleotide polymorphism genotypes according to estrogen receptor status

There were no significant modifying effects of SNP genotype on CBC risk associated with radiation dose to the contralateral breast for those patients receiving RT for their first cancer (Table 1). Although individual genotypes for SNPs rs3803662 near TOX3 (TNRC9), rs7313833 near PTHLH, and rs2107425 (H19) appeared to be associated with increased risk for CBC in particular dose-allele combinations (for example, for rs7313833 minor allele homozygotes at 0.01 to 0.99 Gy radiation, RR = 2.3, 95% CI = 1.1 to 4.9), there were no obvious trends by either gene or radiation dose. Finally, none of the SNPs studied significantly modified the effects of tamoxifen use or chemotherapy (data not shown) on the incidence of CBC.


Breast cancer GWASs have tended to focus on high-risk individuals such as women from multiple-case breast cancer families or with early age at onset. The present study extends findings from these studies by examining another group of genetically predisposed women, those with CBC, and considers important treatment co-factors such as RT, chemotherapy, and hormonal exposures as well as ER status of the first tumor.

We observed nominally significant associations between CBC and SNPs in three regions previously associated with breast cancer, 10q26 (FGFR2), 8q24, and 2q35, all of which had been previously replicated in studies of UBC [20-28]. Rs13387042 (2q35) was also more strongly associated with bilateral than unilateral disease in a recent meta-analysis [28].

Our initial genotyping data revealed an association between an SNP in the FGFR2 gene (rs2981582) and CBC with an RR of a magnitude similar to that observed in the original GWAS report [7]. Further mapping of the FGFR2 intron 2 region with haplotype-tagging SNPs in the WECARE Study population suggested that increased risk for CBC was not restricted to rs2981582 but was associated with a single haplotype, carrying risk alleles at multiple SNPs, consistent with other reports [29,30].

Among SNPs genotyped in the WECARE Study which were as yet unconfirmed in other studies, the strongest associations with CBC risk were at rs7313833 on chromosome 12p11.22 and at rs11235127 on chromosome 11q14.2. For both of these SNPs, risk was particularly elevated in homozygotes for the minor allele. Although these two SNPs were among the 30 most significantly associated with breast cancer risk in a prior GWAS [7], the associations had not been previously replicated in other study populations [31]. The SNP rs7313833 falls within a small region that is very highly conserved among mammals but that provides no evidence of being a coding region itself. The nearest flanking genes are PTHLH, parathyroid hormone-like hormone, which is located 28 kb centromeric to the reference SNP, and KLHDC5, Kelch domain-containing protein 5, which is located 127 kb telomeric to the reference SNP. In HapMap CEU (Utah residents with Northern and Western European ancestry from the Centre d'Etude du Polymorphism Humain collection) { data, rs7313833 is contained within a region of linkage disequilibrium extending in the centromeric direction to include the relatively small PTHLH gene. PTHLH has a broad range of functions, including roles in mammary gland development and tumor progression [32,33], making it a potential candidate gene. Annotation of KLHDC5 suggests no obvious connection to breast development or breast cancer.

On chromosome 11, rs11235127 is not located in an evolutionarily conserved region, but there are several uncharacterized, apparently spliced ESTs (expressed sequence tags) in the region. The nearest annotated gene is TMEM135, which is located 54 kb centromeric to the reference SNP and which encodes a transmembrane protein that is not well characterized. The nearest gene in the telomeric direction is RAB38, a Ras family member that is expressed exclusively in melanocytes and that is located more than 700 kb away. We considered TMEM135 to be a candidate gene since studies in the mouse indicate that it is transcriptionally regulated upon treatment with tamoxifen, an estrogen analog and therapeutic agent that is associated with a decreased risk of CBC in the WECARE Study population [34]. However, we observed no statistically significant modifying effect of alleles at rs11235127, the SNP located near TMEM135, or any other SNP studied on the effect of tamoxifen on CBC risk.

In WECARE Study participants who had received RT, the mean radiation dose to the contralateral breast during treatment was 1.1 Gy. In our previous studies of this population, we observed that women who were under 40 years of age and who received more than 1.0 Gy of absorbed dose to a specific quadrant of the contralateral breast had a significant, 2.5-fold greater risk for CBC developing in that quadrant than unexposed women [6]. The presence of specific variants in the ATM gene further increased the risk of CBC specifically in those women who received RT for their first cancer. Accordingly, in the present study, we assessed whether radiation dose-associated CBC risk was modified by genotype; owing to small sample numbers in individual categories, we could not further stratify by age. Overall, the tests for interaction were not statistically significant, although some specific genotype-dose combinations were. For rs3803662 near the TOX3 gene, homozygotes for the reference allele had a statistically significantly increased risk for CBC with radiation dose, whereas carriers of the minor allele did not show statistically significantly increased risk of CBC or dose response. Currently, the function of TOX3 is not well understood and its relevance to radiation response is not clear. The only evident connection between TOX3 and breast cancer is that the gene has been implicated in breast tumor metastasis to bone [35]. Homozygotes for the risk allele at rs7313833, near PTHLH, who received RT had a significantly increased risk of CBC. Interestingly, PTHLH has also been implicated in breast tumor metastasis to bone in a mouse model [32]. Owing to a report that genotype-associated breast cancer risk varied significantly by occupational radiation dose (mean of less than 0.05 Gy) for rs2107425 in H19 [36], we evaluated CBC risk by radiation dose (mean of 1.1 Gy) and rs2107425 genotype. Heterozygotes who received at least 1.0 Gy were at increased risk for CBC, but there was no statistically significant trend with dose and genotype.

Previous studies have assessed whether SNP associations with breast cancer vary with ER status: rs2981582 (in FGFR2), rs3803662 in (TOX3), rs13387042 (in 2q35), and rs13281615 (in 8q24) were more strongly associated with ER-positive disease than ER-negative disease [9,10,27]. In the WECARE Study, only rs13387042 (in 2q35) and rs11235127 (near TMEM135) associations with CBC risk displayed statistically significant heterogeneity with regard to ER status. In our study, 27.4% of the CBC cases had an ER-negative first primary tumor and 23.6% of the UBCs were ER-negative overall [17]. The A allele at rs13387042 was associated with increased risk of CBC in participants with ER-negative first tumors. Although an earlier study reported this allele to be associated with ER-positive disease [9], more recent meta-analyses have observed significant associations with both ER-positive and ER-negative disease [27,37]. Differences in results between the present study and previous studies could reflect specificity to CBC. No previous study has examined rs11235127 (near TMEM135) with regard to ER status.

While the WECARE Study was designed to examine potential interaction effects of genetic risk factors with treatment exposures and tumor characteristics, there are limitations to its application in the context of common risk factors with modest effects. The WECARE Study does not include an unaffected (non-cancer) control population; controls in the study are women with diagnosed UBC. Although women with CBC represent a high-risk breast cancer group, the power to detect main effects of common risk alleles on CBC is limited by the likely enrichment for these same alleles among the UBC patients who serve as controls in the study.


Our study demonstrates that a subset of common variants with moderate effects on breast cancer risk is also associated with an increased risk for CBC. In particular, we identified nominally significant associations with CBC for six of 21 SNPs implicated in prior GWASs of UBC. Two of these SNPs were significantly associated with CBC risk, depending on ER status of the first tumor. Particular combinations of SNP genotypes with radiation dose were associated with increased risk for CBC, although there were no statistically significant interactions with increasing dose and genotype. These findings underscore the need to consider breast cancer tumor characteristics and treatment modalities when examining the risk associated with individual SNPs in order to help characterize their role in breast carcinogenesis.


CBC: contralateral breast cancer; CI: confidence interval; ER: estrogen receptor; GWAS: genome-wide association study; RR: rate ratio; RT: radiation therapy; SNP: single-nucleotide polymorphism; UBC: unilateral breast cancer; WECARE: Women's Environment: Cancer: and Radiation Epidemiology.

Competing interests

LB is an editor of Breast Cancer Research. All other authors declare that they have no competing interests.

Authors' contributions

SNT participated in study design, data acquisition (molecular genetics) and interpretation, and manuscript drafting and revision. JLB participated in study design, manuscript revision, and study supervision. ASR and MC participated in statistical analysis and interpretation of the data and in manuscript revision. RWH, LB, CFL, MS, SAS, and LM participated in data acquisition and manuscript revision. KEM participated in data acquisition and manuscript revision and provided critical manuscript revision. XL, JM, and XH participated in data analysis and manuscript revision. AS and DD participated in data acquisition (molecular genetics) and manuscript revision. JDB participated in data interpretation and critical manuscript revision. DCT participated in statistical analysis and interpretation and in critical manuscript revision. PC participated in study design, data interpretation, critical manuscript revision, and study supervision. The WECARE Study Collaborative Group participated in recruitment and data acquisition. All authors read and approved the final manuscript.

WECARE Study Collaborative Group

Memorial Sloan-Kettering Cancer Center (New York, NY): Jonine L Bernstein (WECARE Study principal investigator), Colin Begg, Marinela Capanu, Xiaolin Liang, Jennifer Brooks, and Anne R Reiner

City of Hope (Duarte, CA) (some work performed at the University of Southern California, Los Angeles, CA): Leslie Bernstein and Laura Donnelly-Allen

Danish Cancer Society (Copenhagen, Denmark): Jørgen H Olsen, Michael Andersson, Lisbeth Bertelsen, Per Guldberg, and Lene Mellemkjær

Fred Hutchinson Cancer Research Center (Seattle, WA): Kathleen E Malone

International Epidemiology Institute (Rockville, MD) and Vanderbilt University (Nashville, TN): John D Boice Jr.

Lund University (Lund, Sweden): Åke Borg

Mount Sinai School of Medicine (New York, NY): Barry S Rosenstein and David P Atencio

National Cancer Institute (Bethesda, MD): Daniela Seminara

New York University (New York, NY): Roy E Shore

Norwegian Radium Hospital and University of Oslo (Oslo, Norway): Anne-Lise Børresen-Dale

Translational Genomics Research Institute (TGen) (Phoenix, AZ): David Duggan and Ashley Siniard

University of California at Irvine (Irvine, CA): Hoda Anton-Culver (sub-contract principal investigator) and Joan Largent

University of California at Los Angeles (Los Angeles, CA): Richard A Gatti

University of Iowa (Iowa City, IA): Charles F Lynch

University of Southern California (Los Angeles, CA): Robert W. Haile, Graham Casey, Daniel Stram, Duncan C Thomas, Jane Figueiredo, Shanyan Xue, Nianmin Zhou, and Anh T Diep

University of Southern Maine (Portland, ME): W Douglas Thompson

The University of Texas, M.D. Anderson Cancer Center (Houston, TX): Marilyn Stovall and Susan Smith

University of Virginia (Charlottesville, VA) (some work performed at Benaroya Research Institute at Virginia Mason, Seattle, WA): Patrick Concannon, Sharon N Teraoka, Eric R Olson, and Nirasha Ramchurren


This work was supported by National Institutes of Health grants R01 CA129639, R01 CA097397, R01 CA114236, U01 CA083178 (to JB), R01 CA57569 (to PC), and R01 CA112450 (to PC).


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