Sarah J. Erickson-Bhatt1, Ben Cox2, Erin Adamson2, Suzanne Ponik2, Matthew Conklin2, Brett Morris2, David Inman2, Joseph Szulczewski2, Patricia Keely2, M. Elizabeth Meyerand2, Caroline Alexander2, Kevin Eliceiri2, and Sean Fain2
11111 Highland Ave., University of Wisconsin, Madison, WI, United States, 2University of Wisconsin, Madison, WI, United States
Synopsis
Every
day in the U.S. 100 women die of metastatic breast cancer. Current clinical
methods cannot determine from the primary site which tumors will metastasize
and spread to other areas of the body. Herein, multiple imaging scales are used
to assess the metabolic signatures of metastatic and dormant tumor cell lines. Fluorescence
lifetime imaging microscopy (FLIM) and hyperpolarized magnetic resonance
spectroscopy (hMRS) imaging studies are performed in 3D cell culture using an
MRI compatible bioreactor and in vivo
mouse models to evaluate metabolic signatures at the individual cellular and tumor
mass scales to predict metastasis versus dormancy.
Introduction
INTRODUCTION
Novel
imaging techniques are crucial for the prediction of cancer mortality based on metastasis.
This study aims to develop a clinically relevant imaging platform (Figure 1), which
combines information at micro- and macro- scales to discriminate which tumors
are likely to metastasize. Fluorescence
lifetime imaging microscopy (FLIM) and hyperpolarized magnetic resonance
spectroscopy (hMRS) imaging studies are performed in 3D cell culture using an
MRI compatible bioreactor1 and in
vivo mouse models to evaluate metabolic signature at the individual
cellular and tumor mass scales to predict metastasis versus dormancy.
METHODS
4T1
(metastatic) and 4T07 (dormant) cell lines were cultured in RPMI 1640 media
with 10% fetal bovine serum at 37 °C with 5% CO2. 3D collagen gels
(1.5 mL) were prepared the day of imaging using ~8 million cells per gel at 2
mg/mL collagen density. Multiscale imaging using both FLIM and MRS was
performed in the 3D cell cultures maintained at 35-37 °C using an MRI
compatible bioreactor designed and built in house.
FLIM
was performed using the Optical Workstation (LOCI, UW-Madison) described
previously.2 Each fluorescence lifetime image was collected for 150
seconds using a 20x VC objective (Nikon), and the FLIM data was fitted and
analyzed using SPC Image (Becker and Hickl).
MRS
experiments were performed in vitro using
[1- 13C] pyruvic acid as the hyperpolarized agent. During scanning, dynamic
spectra were acquired (FA=10degrees, TR=3000ms), centered on the frequency for
pyruvate. Thirty µL of [1- 13C] PA (Cambridge Isotope Laboratories Inc.,
Tewksbury, MA) and 15mM trityl radical (Ox063, GE Healthcare) were polarized at
1.4 K in a Hypersense polarizer (Oxford Instruments) for ~1 hour. Four mL of
solvent containing 1.2mL 426 mM NaOH, 1.4mL 400 mM Tris buffer and 1.4mL
250mg/L EDTA was used to dissolute the sample. The [1-13C] PA was drawn off and
rapidly injected into the sample volume of the bioreactor or the mouse using a
tail vein cannulation. Dynamic global spectra were acquired with a Doty volume
coil
All
animal studies were approved by and adhered to IAUCUC guidelines. For mouse
studies, 500,000 cells (either 4T1 or 4T07) were injected into the mammary fat
pad of Balb/c mice and allowed to form tumors for 23 days. The mice were
anesthetized using isofluorane during imaging studies. A tail vein cannulation
was used for injection of the hyperpolarized contrast agent for magnetic
resonance studies.
RESULTS
Figure
2 shows Fluorescence lifetime imaging microscopy (FLIM) images of metastatic
(4T1) and dormant (4T07) murine breast cancer cells. The 4T1 cells are shown in
A and B were imaged at 890 and 740 nm for FAD and NADH, respectively, and the
4T07 cells are shown in C and D imaged at 890 and 740 nm for FAD and NADH,
respectively. At both wavelengths, the mean lifetime was greater in the 4T07
cells than the 4T1 cells.
The
average values of the fluorescent lifetime components (τ1,
τ2, α1, α2, τ mean)
are summarized in Table 2. The average τ mean was greater for
4T07 cells than 4T1 cells at both wavelengths.
Figure
3 shows the hyperpolarized magnetic resonance spectra of 4T1 and 4T07 cells in vitro. The pyruvate hydrate peak is visible at ~180
ppm and the lactate can be seen as a very small peak to the left of the
pyruvate hydrate. The lactate peak is higher in 4T1 cells than 4T07 indicating
a greater pyruvate to lactate conversion.
A
preliminary study was performed using two mice who were imaged, one injected
with 4T1 (metastatic) and the other with 4T07 (dormant) cells. A volume coil
encompassing the entire mouse was used to perform standard proton imaging (for
anatomical reference) followed by hyperpolarized 13C-pyruvate imaging. The
pyruvate and lactate signals from the tumors are presented as overlays on the
anatomical proton images. The images indicate differences in the in vivo
metabolic signatures between dormant (4T07) and metastatic (4T1) cancer cell
lines that are consistent with.
DISCUSION
The
results presented here show preliminary data from multiple imaging scales which
indicate different metabolic signatures from metastatic and dormant cells. FLIM
data shows that the mean fluorescent lifetime is greater in 4T07 cells 4T1
cells. MRS spectra show that the pyruvate to lactate conversion is greater in
4T1 cells than 4T07 cells. Future studies will be performed in
vivo using an imaging window3 to image the same tumor with FLIM
and MRS in live mice.
CONCLUSION
This study aimed to combine imaging
methods at multiple scales which could be used to predict metastasis and improve
patient outcomes.Acknowledgements
Funding for this project was provided by The Morgridge
Institute for Research, the Departments of Medical Physics and Radiology at
UW-Madison, UL1TR000427 to UW ICTR
from NIH/NCATS and the AAPM 2014 Graduate Fellowship.References
(1) Cox, et al. Bioreactor for in
vitro optical fluorescence and magnetic resonance spectroscopy. ISMRM, 2017.
(2) Pugh, et al. A shift in energy
metabolism anticipates the onset of sarcopenia in rhesus monkeys. PMC 2014.
(3) Szulczewski, et al. In Vivo
Visualization of Stromal Macrophages via label-free FLIM-based metabolite
imaging. Scientific Reports, 2016.