Devkumar Mustafi1, Rebecca Valek1, Michael Fitch1, Victoria Werner1, Xiaobing Fan1, Erica Markiewicz1, Sully Fernandez2, Marta Zamora1, Jeffrey Mueller3, Suzanne D Conzen4, Matthew J Brady2, and Gregory S Karczmar1
1Radiology, The University of Chicago, Chicago, IL, United States, 2Medicine, Section of Adult 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 US. Epidemiology shows that
a high animal fat diet increases risk of triple-negative breast cancer (TNBC). Our
previous work examined the effect of pre-pubertal exposure to high
dietary animal fat in the SV40Tag mouse model of TNBC. We showed that a high
animal fat diet changes mammary fat composition and increases
incidence and aggressiveness of mammary cancers in
this model. Here, we demonstrate using MR angiography that changes in fat composition
and cancer incidence are paralleled by increases in vascular density in the
mammary gland.
PURPOSE
High animal fat
consumption is associated with increased incidence of triple negative breast
cancer (TNBC).1,2 Our previous magnetic resonance imaging (MRI)
studies demonstrated the effects of pre-pubertal exposure to high dietary
fat in this model of TNBC,3 and
the feasibility of detecting very early non-palpable intraductal mammary
cancers in SV40Tag mice.4 The present study used time-of-flight
(TOF) MR angiography to measure arterial blood volume feeding mammary glands in
mice fed a low fat diet (LFD) or a high animal fat diet (HAFD).METHODS
Virgin
female C3(1)SV40TAg mice (n=8) were weaned at 4 weeks old and fed a LFD (n=4, 3.7
kcal/g; 17.2% kcal from vegetable oil) or HAFD (n=4, 5.3 kcal/g; 60% kcal from
lard). After 4 weeks on diet, in vivo MR
images were acquired weekly from age 8-12 weeks. Fast spin echo MR images (RARE, TR/TEeffective=4000/20 ms, slice thickness=0.5 mm, in-plane
resolution=0.1 mm) of inguinal mammary glands were acquired at 9.4 Tesla. TOF, a 2D flow compensated, gradient echo sequence with a short TR
(TR/TEeffective=10/3 ms), was used to maximize inflow effects, depicting
flowing blood as a bright signal; other parameters were as in RARE. Mice were
sacrificed following
in vivo serial MRI studies; inguinal
mammary glands were excised and fixed for histology. Tumor and blood volumes were measured from manually
traced ROI’s. Each invasive cancer was segmented and labeled. Volume of each
tumor was calculated at five time points. Additional
ROI’s on 2 slices of
muscle were used to normalize signal intensity and reduce extraneous signal
when calculating blood volume. Histopathology-blinded observers used MRI to
classify tumors as invasive. Student’s t-Tests
were performed for statistical analysis; p-value <0.05 was considered
significant.RESULTS and DISCUSSION
Mice fed HAFD (average body weight=19.75±2.02 g) did not gain significantly more weight than LFD fed mice (average body weight=18.20±1.04 g), p<0.075). Based on the size of invasive cancer (>400
microns in largest diameter)
and signal intensities on T2-weighted MR images of 2.3 times that of muscle, invasive cancers
were accurately identified using in vivo
MRI.4 Figure 1 illustrates irregular, dilated ducts
and increased blood supply in a HAFD mouse. The qualitative relationship is
visualized more easily with a three-dimensional rendering seen in Figure 2. At
week 12, with increased tumorigenesis following high fat feeding, average blood
volume in mammary glands for HAFD-fed mice (2.56±0.27 μL) was 7-fold higher, compared to LFD-fed
mice (0.36±0.10 μL), p<0.0001.
Figures 3 and 4 illustrate the effects of HAFD on blood volume and mouse
mammary cancer. Figure 3 shows the initial tumor volume (3a) and total tumor
volume (3b). Figure 4 shows mammary gland blood volume (4a) and total blood
volume (4b) of 8-12 week old mice on LFD and HAFD. Differences in tumor
incidence and volume were significant at earlier time points (8-10 weeks)
between HAFD and LFD mice (Figure 3a). Importantly, results in Figures 3b and 4a
demonstrate a direct correlation between the total tumor volume and blood
volume in the mammary gland. Tumor growth rates were 2-fold higher in HAFD mice
(0.42±0.14 week-1)
compared to LFD mice (0.21±0.03 week-1),
with p<0.004, while the rate of increase in mammary gland blood volume was
2.2-fold higher in HAFD mice (0.29±0.11 week-1) compared to LFD mice
(0.13±0.06 week-1),
p<0.02. These results demonstrate the effectiveness of MR angiography for
measurements of changes in vasculature as cancer develops. Histological images
of mammary glands from HAFD mice showed more
irregular, enlarged ducts, dilated blood vessels, and increased tumor
invasiveness compared to the LFD group, consistent with MR images. Increased recruitment of arteries to cancerous
mammary glands is probably associated with neo-angiogenesis, since increased
arterial supply is required to feed dense, leaky capillaries.CONCLUSIONS
To the best of our
knowledge, this study is the first to
demonstrate a strong correlation between tumor and blood volume in mammary
cancer in vivo, completely
non-invasively without using contrast
agents. These results further
demonstrate the role of dietary fats on mammary cancers. TOF angiography can be
used for serial studies of mammary gland/tumor vasculature in mouse models
where repeat placement of I.V. lines is challenging. Additionally, analogous methods could be
tested in humans to evaluate vasculature of suspicious lesions without using
contrast agents.Acknowledgements
This
research is supported by grants from the National Institutes of Health
(R01-CA133490, R01-CA167785, and P30CA014599), Florsheim Foundation, Segal
Foundation, and VPH prism grant from the European Union.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, Fernandez S, Markiewicz E, Fan X, Zamora M, Mueller J, Brady MJ, Conzen SD, Karczmar
GS. MRI reveals increased tumorigenesis following high fat feeding in a mouse
model of triple-negative breast cancer. NMR Biomed. 2017;30:e3758.
https://doi.org/10.1002/nbm.3758.
4.
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.