Sumei Wang1, Donald M O’Rourke2, Sanjeev Chawla1, Gaurav Verma1, Gabriela Plesa3, Carl H June3, Marcela V Maus4, Steven Brem2, Eileen Maloney2, Jennifer JD Morrissette5, Maria Martinez-Lage5, Arati Desai6, Ronald L Wolf1, Harish Poptani1,7, and Suyash Mohan1
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States, 3Pathology and Laboratory Medicine, Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, United States, 4Center for Cancer Immunology, Massachusetts General Hospital Cancer Center, Charlestown, MA, United States, 5Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States, 6Hematology-Oncology, University of Pennsylvania, Philadelphia, PA, United States, 7Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom
Synopsis
Chimeric
Antigen Receptor (CAR) T cell therapy is a novel method of treating
tumors. Since EGFRvIII is expressed in some glioblastomas, we evaluated the
efficacy of anti-EGFRvIII CART for treating these tumors. Treatment response
was assessed via serial MRI scans at 1 and 2 months after CAR-T cell therapy. The rCBVmax
and Cho/Cr ratio decreased whereas MD and FA stayed relatively stable for most
patients, indicating a positive response that can be
assessed by these methods.PURPOSE
Immunotherapy with chimeric antigen receptor
(CAR) T cells has recently been shown to be successful in the treatment of B
cell malignancies
1. Since epidermal
growth factor receptor variant III (EGFRvIII), a
glioma-specific antigen, is expressed in 24% to
67% of glioblastomas (GBM),
1, 2 CAR-T cells have also been targeted to EGFRvIII
for treating recurrent GBMs. EGFRvIII expression has been shown to promote oncogenesis and is associated with
poor prognosis. Anti-EGFRvIII CAR-T cell therapy works by eliminating tumor cells
without damaging normal tissue due to the tumor specificity of its target
antigen
3. Phase 1 clinical trials are currently ongoing to evaluate
the safety and efficacy of this novel treatment paradigm. Since an acute
inflammatory response has been observed in earlier similar trials
4,
it is important to evaluate treatment response using advanced MRI and MRS
methods rather than relying on tumor volumetric
changes. This hypothesis formed the basis of our current study in this exciting
clinical trial.
METHODS
Eight
recurrent GBM patients (3M/5F, mean age 62.4 ) with EGFRvIII expression underwent
serial MRI scans after 1 and 2 months of CAR-T infusion. MRI scans included
DTI, DSC and three-dimensional echo planar spectroscopic imaging (3D-EPSI). As
the trial is ongoing, not all patients have undergone all the subsequent MRI
scans. MRI was performed on a 3T scanner with a 12-channel phased-array head
coil. DTI data were acquired using a single shot spin echo EPI sequence with
parallel imaging using GRAPPA (acceleration factor = 2); TR/TE = 5000/86 ms, NEX = 3, FOV = 22 × 22 cm
2, b = 1000 s/mm
2, number of diffusion
weighting directions = 30, in-plane
resolution = 1.72 × 1.72 × 3 mm
3. DSC T2* weighted gradient-echo echo planar images were obtained using the following parameters: TR/TE
= 2000/45 ms, FOV = 22 × 22 cm
2, in-plane resolution = 1.72 × 1.72 × 3 mm
3, and 20 slices covering the brain. EPSI
was acquired using the following parameters: TR/TE = 1510/17.6 ms, spatial
points = 50×50×18, FOV= 280×280×180mm
3,
voxel size = 5.6×5.6×10mm
3, excitation angle = 73°, 512 complex points, spectral BW =
2500Hz with radiofrequency excitation pulse centered at water resonance, NEX =
1. Water suppression using frequency-selective saturation pulses and
inversion-recovery nulling of lipid signal was performed with TI of 198ms. MD and FA maps were computed using in house software.
Leakage corrected CBV maps were generated using Nordic ICE (Nordic Imaging
Lab). NAA, Cr and Cho were computed using the metabolic imaging and data analysis
system (MIDAS) package. Contrast-enhanced T1 weighted images, FLAIR, CBV
and DTI maps were co-registered and a
semi-automated segmentation routine was used to segment the contrast-enhancing ROI. The median MD, FA, rCBV and Cho/Cr values from
this ROI were used to analyze the data and the 90th percentile rCBV
values were measured to compute maximum rCBV (rCBV
max)
5. The percent changes between the baseline and the subsequent scan (N) were
calculated as (N – baseline)/baseline × 100.
RESULTS
Representative MD, FA, CBV and
Cho/Cr images from the baseline and follow-up scans in a patient are shown in
Fig.1. After 1 month,
an increase in MD with a concomitant decrease in FA was noted in this patient (Fig.
2). The Cho/Cr ratio decreased by 20% of the initial value, whereas the rCBV
max
decreased to about 60% of the initial values after 2 months of CAR-T cell
therapy in this patient (Fig. 2). Similar trends were observed in other
patients.
DISCUSSION
The
efficacy of CAR-T cell therapy against EGFRvIII expressing GBMs has been
reported in a murine model, which showed migration of CAR-T cells to the tumor
with significant growth delay as well as prolonged survival
3. The
decrease in rCBV and Cho/Cr is suggestive of growth arrest and treatment
induced response and inhibition of EGFRvIII expression since EGFRvIII is highly
correlated with CBV
5. Similarly a decrease in Cho has
been shown to correlate with reduced cell proliferation, indicating cell death.
A slight decrease in FA along with increase in MD also suggests cell death and
increased extracellular volume fraction. However, the changes in FA and MD were
not significant when measured in all patients. This observation may indicate
the limited utility of DTI in monitoring response in this treatment paradigm. Our preliminary findings need to be
evaluated in a larger patient cohort and correlated with clinical endpoints of
progression free survival and overall survival to establish the role of CAR-T
cell therapy in this subgroup of GBM patients. Advanced MRI and MRS metrics can
serve as potential imaging biomarkers to assess for early treatment response in
these patients.
Acknowledgements
This work was partly funded by a grant from Novartis (NCI
K08 16639).References
1. Johnson LA, et al. Sci Transl
Med. 2015; 7:275ra22. 2. Congdon KL, et al.
Neuro Oncol. 2014; suppl. 3.
Miao H, et al. PLOS One. 2014; epub. 4. Linette GP, et
al.Blood 2013;122:863 5. Wang S, et al. AJNR 2011;32:507 6. Tykocinski ES, et al. Neuro Oncol. 2012; 14: 613.