xiaoyu jiang1, Jingping Xie2, John Gore2, and Junzhong Xu3
1Radiology, Vanderbilt University Medical Center, nashville, TN, United States, 2Vanderbilt University Medical Center, nashville, TN, United States, 3Vanderbilt University Medical Center, Brentwood, TN, United States
Synopsis
Keywords: Quantitative Imaging, Cancer, microstructure; diffusion; apoptosis
Reliable and sensitive methods for assessing
the response of breast cancer to treatment are critical for timely adjustments
of therapies for individual patients, and development of
novel therapies. Different from the
conventional tumor-volume-based criteria, we hypothesize that more specific
microstructural information on the cellular level in tumors, such as changes in
cell size, may provide more accurate characterization of therapeutic response. Using both in vitro cell experiments and
in vivo xenograft experiments, we demonstrated that temporal changes in MR-derived
cell sizes in triple-negative MDA-MB-231 tumors treated with either drug
vehicle or paclitaxel provide a new means to assess treatment response.
Introduction
Reliable and sensitive methods for
assessing the response of breast cancer to treatment are critical for timely
adjustments of the most appropriate therapy for individual patients, and the
development of novel therapies. However, conventional MRI methods such as
diffusion MRI (particularly ADC: apparent diffusion coefficient) are usually
sensitive to various concurrent microstructural changes that may provide
misleading or contradictory information. It is of great interest to increase
the specificity of imaging methods to key microstructural features reflecting
tumor status more accurately. We propose to use change in cell size, a hallmark
of apoptosis, as a new imaging biomarker to assess chemotherapy response in
breast cancer. Paclitaxel, one of the most successful microtubule-targeted
chemotherapeutic drugs, has been reported to slow or block mitosis at the
metaphase-anaphase transition and induce apoptosis, which leads to cell
shrinkage. We hypothesize that a diffusion MRI-based cell size imaging
technique (IMPULSED, Imaging Microstructural Parameters Using Limited
Spectrally Edited Diffusion) 1-3 that extracts
microstructural parameters, including mean cell size (d) from the diffusion
time dependency of hindered/restricted diffusions in tumor tissues, can
quantify changes in cell sizes associated with chemotherapy response. This
study represents an initial validation of this concept using both in vitro and
in vivo models of breast cancer. Theory
IMPULSED is a multi-compartment
diffusion-based method within the framework of temporal diffusion spectroscopy
(TDS). The imaging protocol includes a combination of acquisitions using
gradients with different waveforms (OGSE (oscillating gradient spin echo) for
short tdiff (e.g., ≤ 5
ms) and bipolar gradients as in PGSE (pulsed gradient spin echo) or STEAM
(stimulated echo acquisition mode) for relatively long tdiff (e.g., ≥ 30
ms)) which provide sufficient coverage of different diffusion times for
characterizations of tumor microstructure. Data fittings were performed using
an in-house developed software package (https://github.com/jzxu0622/mati.git).Methods
In vitro experiment: We compared MR-derived parameters between
drug-vehicle-treated and paclitaxel-treated triple-negative breast cancer cell
line MDA-MB-231 with different durations (24, 48, and 96 hours).
In vivo experiment:
MDA-MB-231 tumors were formed in the right hind limb of mice. After tumor
volumes reached ~ 50-100 mm3, twenty-nine mice were treated with
either paclitaxel (n=16) or DMSO (drug vehicle, n=13) twice weekly at 20 mg/kg
for three weeks. We performed MR cell size imaging weekly on all the mice using
a 4.7 T MRI scanner. 9 (5 paclitaxel-treated and 4 DMSO-treated), 6 (4
paclitaxel-treated and 2 DMSO-treated), and 14 (7 paclitaxel-treated and 7
DMSO-treated) mice were sacrificed for histological examinations after MRI
sessions at weeks 1, 2, and 3, respectively.Results
For the in vitro cell experiment, the
percentages of G2/M cells increased from 17.2% for DMSO-treated
cells to 70.1% for 24-hr-paclitaxel-treated cells, and then decreased to 62.3%
and 37% with longer treatment periods (48 and 96 hours). The percentages of sub
G0 MDA-MB-231 cells (usually associated with apoptotic cells)
increased with increasing treatment periods. The mean cell size of
paclitaxel-treated MDA-MB-231 cells, as measured by both light microscope and
MRI, increased after 24-hr treatment and then decreased with longer treatment
periods (Figure 1).
For the in vivo experiment, the
paclitaxel-treated tumors showed a small, insignificant increase in cell sizes
at week 1 but demonstrated significant decreases in cell size at later weeks,
suggesting more apoptosis occurs at later time points (Figure 2). This is
consistent with changes in histology-derived cell sizes shown in Figure 3.
IMPULSED-derived cell sizes were strongly correlated (the Pearson correlation
coefficient = 0.78, p<0.0001) with histology-derived cell sizes. In Figure 4,
Caspase-3 staining confirmed the presence of tumor cell apoptosis in
paclitaxel-treated tumors and its absence in the DMSO-treated tumor. PH3
staining showed an increase of cells in late G2 and mitosis in
paclitaxel-treated tumors. Confluent areas of necrosis can be found within the
3-week paclitaxel-treated tumor with significant loss of nuclei. Na/K-ATPase
staining demonstrated different cell sizes between paclitaxel-treated and
DMSO-treated tumors. Levels of both apoptosis and mitotic arrest were higher
for paclitaxel-treated tumors at week #1, 2, and 3 than those for DMSO-treated
tumors (Figure 5). Discussion and Conclusion
We hypothesized that the size of a
paclitaxel-treated cell first increases and then decreases, corresponding to
mitotic arrest followed by apoptosis. This hypothesis was well-demonstrated by
flow cytometry, microscopy and MR results of our in vitro cell experiments. In
our in vivo animal experiments, the paclitaxel-treated tumors showed
insignificant changes in cell sizes at week 1 but significant decreases in cell
size at later weeks. Changes in the mean cell sizes in response to paclitaxel
are affected by two competing factors, including the number of cells that are
arrested in G2/M phase with cell swelling and cells that undergo apoptosis with
cell shrinkage. An explanation for no observed increased cell size at early
time points in vivo could be due to the higher heterogeneity of cell cycle
activity than in vitro cell culture in which cells are more synchronized. At
late time points, apoptosis dominates and significant decreases in cell size
were observed.
We have described the value of
using diffusion MR-derived parameters for the detection of treatment response
in a preclinical breast cancer model. Data presented in this study provide
compelling evidence to justify the further evaluation of TDS in clinical
applications.Acknowledgements
No acknowledgement found.References
1 Jiang, X. et al.
Quantification of cell size using temporal diffusion spectroscopy. Magnetic resonance in medicine 75, 1076-1085, doi:10.1002/mrm.25684
(2016).
2 Jiang,
X. et al. In vivo imaging of cancer
cell size and cellularity using temporal diffusion spectroscopy. Magnetic resonance in medicine 78, 156-164, doi:10.1002/mrm.26356
(2017).
3 Xu,
J. et al. Magnetic resonance imaging
of mean cell size in human breast tumors. Magnetic
resonance in medicine 83,
2002-2014, doi:10.1002/mrm.28056 (2020).