@article {219, title = {Identification of genetic loci that control mammary tumor susceptibility through the host microenvironment.}, journal = {Sci Rep}, volume = {5}, year = {2015}, month = {2015}, pages = {8919}, abstract = {

The interplay between host genetics, tumor microenvironment and environmental exposure in cancer susceptibility remains poorly understood. Here we assessed the genetic control of stromal mediation of mammary tumor susceptibility to low dose ionizing radiation (LDIR) using backcrossed F1 into BALB/c (F1Bx) between cancer susceptible (BALB/c) and resistant (SPRET/EiJ) mouse strains. Tumor formation was evaluated after transplantation of non-irradiated Trp53-/- BALB/c mammary gland fragments into cleared fat pads of F1Bx hosts. Genome-wide linkage analysis revealed 2 genetic loci that constitute the baseline susceptibility via host microenvironment. However, once challenged with LDIR, we discovered 13 additional loci that were enriched for genes involved in cytokines, including TGFβ1 signaling. Surprisingly, LDIR-treated F1Bx cohort significantly reduced incidence of mammary tumors from Trp53-/- fragments as well as prolonged tumor latency, compared to sham-treated controls. We demonstrated further that plasma levels of specific cytokines were significantly correlated with tumor latency. Using an ex vivo 3-D assay, we confirmed TGFβ1 as a strong candidate for reduced mammary invasion in SPRET/EiJ, which could explain resistance of this strain to mammary cancer risk following LDIR. Our results open possible new avenues to understand mechanisms of genes operating via the stroma that affect cancer risk from external environmental exposures.

}, keywords = {Animals, Breast Neoplasms, Cell Line, Tumor, Cytokines, Female, Genetic Predisposition to Disease, Mice, Mice, Inbred BALB C, Neoplasms, Radiation-Induced, Quantitative Trait Loci, Risk Factors, Transforming Growth Factor beta1, Tumor Microenvironment}, issn = {2045-2322}, doi = {10.1038/srep08919}, author = {Zhang, Pengju and Lo, Alvin and Huang, Yurong and Huang, Ge and Liang, Guozhou and Mott, Joni and Karpen, Gary H and Blakely, Eleanor A and Bissell, Mina J and Barcellos-Hoff, Mary Helen and A Snijders and Jiang-Hua Mao} } @article {222, title = {Low-dose radiation cancer susceptibility models.}, journal = {Aging (Albany NY)}, volume = {7}, year = {2015}, month = {2015 Jun}, pages = {352-3}, keywords = {Dose-Response Relationship, Radiation, Genetic Predisposition to Disease, Humans, Models, Biological, Neoplasms, Radiation-Induced, Risk Factors}, issn = {1945-4589}, doi = {10.18632/aging.100767}, author = {Jiang-Hua Mao and A Snijders} } @article {82, title = {CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues}, journal = {Cancer Discov}, volume = {2}, year = {2012}, month = {2012 Sep}, pages = {826-39}, abstract = {

UNLABELLED: Although high mammographic density is considered one of the strongest risk factors for invasive breast cancer, the genes involved in modulating this clinical feature are unknown. Tissues of high mammographic density share key histologic features with stromal components within malignant lesions of tumor tissues, specifically low adipocyte and high extracellular matrix (ECM) content. We show that CD36, a transmembrane receptor that coordinately modulates multiple protumorigenic phenotypes, including adipocyte differentiation, angiogenesis, cell-ECM interactions, and immune signaling, is greatly repressed in multiple cell types of disease-free stroma associated with high mammographic density and tumor stroma. Using both in vitro and in vivo assays, we show that CD36 repression is necessary and sufficient to recapitulate the above-mentioned phenotypes observed in high mammographic density and tumor tissues. Consistent with a functional role for this coordinated program in tumorigenesis, we observe that clinical outcomes are strongly associated with CD36 expression.

SIGNIFICANCE: CD36 simultaneously controls adipocyte content and matrix accumulation and is coordinately repressed in multiple cell types within tumor and high mammographic density stroma, suggesting that activation of this stromal program is an early event in tumorigenesis. Levels of CD36 and extent of mammographic density are both modifiable factors that provide potential for intervention.

}, keywords = {Adipocytes, Animals, Antigens, CD36, Breast Neoplasms, Cell Differentiation, Female, Humans, Mammography, Mice, Mice, Knockout, Risk Factors, Signal Transduction, Stromal Cells}, issn = {2159-8290}, doi = {10.1158/2159-8290.CD-12-0107}, author = {DeFilippis, Rosa Anna and Hang Chang and Dumont, Nancy and Rabban, Joseph T and Chen, Yunn-Yi and Fontenay, Gerald V and Berman, Hal K and Gauthier, Mona L and Zhao, Jianxin and Hu, Donglei and Marx, James J and Tjoe, Judy A and Ziv, Elad and Febbraio, Maria and Kerlikowske, Karla and Parvin, Bahram and Tlsty, Thea D} } @article {154, title = {A functional switch from lung cancer resistance to susceptibility at the Pas1 locus in Kras2LA2 mice.}, journal = {Nat Genet}, volume = {38}, year = {2006}, month = {2006 Aug}, pages = {926-30}, abstract = {

Pulmonary adenoma susceptibility 1 (Pas1) is the major mouse lung cancer susceptibility locus on chromosome 6 (ref. 1). Kras2 is a common target of somatic mutation in chemically induced mouse lung tumors and is a candidate Pas1 gene. M. spretus mice (SPRET/Ei) carry a Pas1 resistance haplotype for chemically induced lung tumors. We demonstrate that the SPRET/Ei Pas1 allele is switched from resistance to susceptibility by fixation of the parental origin of the mutant Kras2 allele. This switch correlates with low expression of endogenous Kras2 in SPRET/Ei. We propose that the Pas1 modifier effect is due to Kras2, and that a sensitive balance between the expression levels of wild-type and mutant alleles determines lung tumor susceptibility. These data demonstrate that cancer predisposition should also be considered in the context of somatic events and could have major implications for the design of human association studies to identify cancer susceptibility genes.

}, keywords = {Adenoma, Alleles, Animals, Carcinogens, Female, Genetic Predisposition to Disease, Lung Neoplasms, Male, Mice, Models, Genetic, Mutation, Oncogenes, Proto-Oncogene Proteins p21(ras), Risk Factors, Urethane}, issn = {1061-4036}, doi = {10.1038/ng1836}, author = {To, Minh D and Perez-Losada, Jesus and Jiang-Hua Mao and Hsu, Jeff and Jacks, Tyler and Balmain, Allan} } @article {133, title = {Factors affecting fetal weight distribution in women with type I diabetes.}, journal = {BJOG}, volume = {107}, year = {2000}, month = {2000 Aug}, pages = {1001-6}, abstract = {

OBJECTIVE: To identify factors independently affecting fetal weight in women with type I diabetes.

DESIGN: Prospectively recorded data in consecutive women with type I diabetes, between 1975-1992.

SETTING: Simpson Memorial Maternity Hospital, Edinburgh. Population Three hundred and two pregnancies with type I diabetes identified before pregnancy, with antenatal care and delivery in the Simpson Memorial Maternity Hospital, a singleton pregnancy, and the same diabetic physician.

METHODS: Normal ranges for birthweight were established for the total hospital population. All cases and the total population had pregnancy dating by ultrasound. The relation between standardised birthweight and explanatory variables was investigated using correlation analysis, t tests and chi2 tests as appropriate, and subsequently using multiple linear regression.

RESULTS: Standardised birthweight in cases, compared with the reference population, showed a unimodal, approximately normal distribution, markedly shifted to the right (mean + 1.26 SD). The most predictive variable was glycated haemoglobin concentration at 27-33 weeks, which explained 6.3\% of the birthweight variance, while smoking explained 2.7\% and maternal weight 2.0\%. There was a trend towards a negative relationship with glycated haemoglobin concentration at 6-12 weeks. Smoking and glycated haemoglobin concentration were strongly intercorrelated.

CONCLUSIONS: Most of the variance in standardised birthweight remains unexplained, but glycated haemoglobin concentration at 27-33 weeks is the most powerful explanatory variable. Possible reasons why there is not a stronger relationship between markers of maternal glycaemia and birthweight are discussed.

}, keywords = {Birth Weight, Diabetes Mellitus, Type 1, Female, Fetal Weight, Hemoglobin A, Glycosylated, Hemoglobinuria, Humans, Hypoglycemia, Infant, Newborn, Pregnancy, Pregnancy in Diabetics, Prospective Studies, Risk Factors, Scotland, Smoking}, issn = {1470-0328}, author = {Johnstone, F D and Jiang-Hua Mao and Steel, J M and Prescott, R J and Hume, R} }