Devkumar Mustafi1, Sully Fernandez2, Erica Markiewicz1, Xiaobing Fan1, Marta Zamora1, Jeffrey Mueller3, Matthew J Brady2, Suzanne D Conzen4, and Gregory S Karczmar1
1Radiology, The University of Chicago, Chicago, IL, United States, 2Medicine, Sections of Adults and Pediatric Endocrinology, Diabetes and Metabolism, The University of Chicago, Chicago, IL, United States, 3Pathology, The University of Chicago, Chicago, IL, United States, 4Medicine, the Section of Hematology and Oncology, The University of Chicago, Chicago, IL, United States
Synopsis
Breast cancer is the most commonly diagnosed malignancy
among women in the United States and the second leading cause of cancer
mortality worldwide. Epidemiological
studies suggest an increase in the risk of triple-negative breast cancer (TNBC)
in association with a high animal fat diet. Based on previous MRI studies in
SV40Tag mice, we examined the effect of pre-pubertal
exposure to high dietary fat in this model of TNBC. The results reported here demonstrate
that a high animal fat diet significantly increased the number of aggressive
cancers detected by MRI in a mouse model of human TNBC.
PURPOSE
High dietary animal fat
consumption is associated with an increase in triple negative breast cancer
(TNBC) risk.1,2 Based on previous magnetic resonance imaging (MRI)
studies demonstrating the feasibility of detecting very early non-palpable
mammary cancers in SV40Tag mice,3 we examined the
effect of pre-pubertal exposure to high dietary fat in this model of TNBC.METHODS
This study was carried out in strict accordance with the recommendations
in the Guide for the Care and Use of Laboratory Animals of the National
Institutes of Health and approved institutional approval. Virgin female C3(1)SV40TAg mice (n=16) were
weaned at 3-4 weeks of age and then fed either a low fat diet (LFD) (n=8, 3.7
kcal/g; 17.2% kcal from vegetable oil) or a high animal fat diet (HAFD) (n=8,
5.3 kcal/g; 60% kcal from lard). After 8 weeks (12 weeks of age), fast spin echo MR images (RARE, TR/TEeffective=4000/20 ms, slice thickness=0.5 mm, and
in-plane resolution of 0.1 mm) of inguinal mammary glands were acquired at 9.4T. Following in
vivo MRI, mice were sacrificed and inguinal mammary glands were excised and
formalin fixed for ex vivo MRI
(3D-RARE, TR/TEeffective=4000/25 ms, isotropic
resolution of 0.07 mm) and histology. 3D
volume-rendered MR images were then correlated with mammary gland histology to
assess both the glandular parenchyma and tumor burden. High resolution ex vivo MR
images were used to evaluate ductal architecture and facilitate correlation of in vivo images with histology. Tumors
were classified as in situ or
invasive cancer based on MRI by observers who were blinded to histopathology. Student’s
t-Tests were performed for statistical analysis. A p-value <0.05 was
considered significant.RESULTS and DISCUSSION
Mice given a HAFD did
not gain significantly more weight than the LFD fed mice
(average body weight
of 18.20±1.04 g on LFD,
compared to an average body weight of 19.75±2.02 g on HAFD, p<0.075). Based
on the sizes of in situ (150 to 400
microns in largest diameter) and invasive cancers (>400 microns in largest diameter) and their signal intensities on T2-weighted
MR images of 1.4 times that of muscle and of 2.3 times that of muscle, in situ cancers and invasive cancers, respectively, were accurately
identified on in vivo MRI. Axial MR images of mammary glands of mice fed LFD (Figure 1a) versus
HAFD (Figure 1b) showed fewer areas of DCIS and shorter T2 in the LFD
mice. More DCIS, with longer T2, was
found in HAFD mice, indicating shorter cancer latency. HAFD mice have thicker
and more irregular ductal structure (Figure 1b, also shown in the ex vivo images of excised gland in
Figure 2), suggesting more active mammary ducts as well as of abnormal ductal
development. A plot (Figure 3) comparing the tumor incidence as a function of tumor
volume in LFD and HAFD SV40TAg mice shows distinct differences between the two
groups. The number of tumors with a volume of 0.08-0.15 mm3 was not
significantly different in the LFD and HAFD groups. However, the difference
between the two groups in the incidence of larger cancers was statistically
significant (asterisks in Figure 3). An
average of 3.88±1.03
tumors were detected per HAFD fed mouse compared to an average of 1.25±1.16
per mouse fed a LFD, (p<0.007). Average tumor volume was significantly higher
in the HAFD group (0.53±0.45
mm3) compared to LFD group (0.20±0.08
mm3, p<0.02; see Table 1). Ex
vivo MRI (Figure 2) and
histology (Figure 4) both demonstrated
that HAFD mice had denser parenchyma, more irregular and enlarged ducts, and dilated
blood vessels, compared to LFD mice. MRI
spectra were consistent with increased white adipose tissue (based on T2*), and
this was confirmed by histology.
Histology showed tumor
invasion (Figure 4).CONCLUSIONS
SV40TAg mice in the
HAFD did not significantly gain more weight compared to the mice on a regular
diet, suggesting that critical changes affecting mammary gland anatomy and
mammary cancer incidence occur in the mammary glands independently of systemic
obesity. MRI and histological studies of the SV40TAg mice
demonstrated that HAFD feeding from weaning through puberty resulted in a
higher incidence and larger triple negative mammary tumors as well as altered
mammary gland anatomy. Unlike other methods for assessing effects of environmental factors on mammary
cancer, MRI allows routine serial functional and anatomic measurements, including
detection of small intra-ductal cancers, accurate tumor volume measurements,
and assessment of the 3-dimensional distribution of cancers over time. The present results are a first step towards
routine use of an MRI ‘toolkit’ to assess effects of diet and dietary
intervention on cancer risk and incidence in mouse models.Acknowledgements
This research is supported by grants from the
National Institutes of Health (R01-CA133490 and R01-CA167785), Florsheim
foundation, Segal foundation, and VPH prism grant from the European Union. The Lynn
S. Florsheim Magnetic Resonance Laboratory subcore of
the Integrated Small Animal Imaging Research Resource is partially
supported by funds from the University of Chicago Comprehensive Cancer Center
from the National Cancer Institute Cancer Center Support Grant
P30CA014599.References
1. Yang XR, Chang-Claude J, Goode EL, et
al. Associations of breast cancer risk factors with tumor subtypes: a pooled
analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst.
2011;103(3):250-263.
2. Agurs-Collins T, Dunn BK, Browne D,
Johnson KA, Lubet R. Epidemiology of health disparities in relation to the
biology of estrogen receptor-negative breast cancer. Semin Oncol. 2010;37(4):384-401.
3. Mustafi D, Zamora M,
Fan X, Markiewicz E, Mueller J, Conzen SD, Karczmar GS. MRI accurately
identifies early murine mammary cancers and reliably differentiates between in
situ and invasive cancer: correlation of MRI with histology. NMR Biomed. 2015;28(9):1078-1086.