Johannes Riegler1, Maj Hedehus1, and Richard A. D. Carano1
1Biomedical Imaging, Genentech, South San Francisco, CA, United States
Synopsis
Inflammation
and T-cell infiltration are important prognostic biomarkers for cancer
immunotherapies.1 Current clinical practice relies on histological
assessment of tissue biopsies which is invasive and prone to sampling errors. Temporal
diffusion spectroscopy, particularly with short effective diffusion times can
estimate cell sizes.2,3 Lymphocytes have small diameters compared to
typical tumor cells. We therefore tested the ability of temporal diffusion spectroscopy
to differentiate between pellets of tumor cells mixed with a varying amount of
activated lymphocytes. We observed clearly separable diffusion characteristics for
samples containing > 20% lymphocytes indicating that this approach may have
potential to quantify inflammation in highly inflamed tissues.Purpose
Test the ability of temporal diffusion spectroscopy to detect lymphocyte fractions in cancer cell samples.
Methods
HM7, a human and MC38, a mouse adenocarcinoma cell line were expanded in RPMI + 10% FCS. Lymphocytes were isolated from C57BL/6 mice (n=2) activated for 48 hours with CD3/CD28 activation beads and cultured for 7 days in T-cell media (RPMI, 10% FCS, 1% Pen/Strep, 2 mM GlutaMax, 1 mM Pyruvate, 50 µM 2-Mercaptoethanol, 50 IU/ml murine Interleukin 2). HM7 and MC38 cells were detached using Trypsin and cell concentrations and sizes were measured (Beckman Coulter Vi-cell). HM7 and MC38 cells were mixed at defined ratios with activated lymphocytes, re-suspended in 2% PFA, transferred to small tubes and centrifuged at 500g for 15 minutes. Diffusion weighted images of sample tubes embedded in 2% agar were acquired on a 9.4T horizontal bore scanner (Agilent, Santa Clara, CA) with a gradient insert (max. 100 G/cm). To cover short diffusion times, a fast spin echo sequence with cosine shaped diffusion gradients was used: FOV 38x38x1 mm
3, Matrix 256x256, TR 4000 ms, effective TE 60 ms, ETL 8, 4 signal averages, max. diffusion gradient 49 G/cm, δ/Δ 25/31.5 ms, oscillation frequency: 40, 80, 120, 160, 200, or 240 Hz, 6 b-values (27, 41, 56, 71, 85 and 100% of max. diffusion gradient), diffusion gradient applied along frequency encode direction, max. b-value: 400 s/mm
2 except for 200 and 240 Hz were max. b-values of 291 and 210 s/mm
2 were used respectively. For diffusion times greater than 10 ms, a stimulated echo sequence with trapezoid diffusion gradients was used: TR 4000 ms, TE 10.5 ms, max. diffusion gradient 29 G/cm, δ/Δ 1.8/(15, 30, or 45) ms, 6 b-values (27, 41, 56, 71, 85 and 100% of max. diffusion gradient), diffusion gradient applied along frequency encode direction, max. b-value: 400 s/mm
2. ADC maps were generated by voxel based log-linear fits using Matlab R2013a (The Mathworks, Natick, MA). Equal sized region of interests were used to estimate average ADC values for different cell pellets. T
2 weighted fast spin echo images were acquired to generate T
2 maps: TR 4000 ms, TE 6-60 ms with 8 steps. All experiments were repeated once.
Results
Adenocarcinoma cells MC38 and HM7 were larger compared to activated lymphocytes with respective diameters of 14.4±1.0, 12.4±0.1 and 10.2±0.1 µm. This difference in cell size led to contrasting diffusion characteristics by which cell types could be clearly identified (Figure 1). The gradient slew rate limited the maximum b-value that could be obtained for oscillation frequencies above 160 Hz. Higher variability due to lower b-values reduced the ability to distinguish ADCs from different cell types at these frequencies (Figure 2). Diffusion spectra from cell pellets containing 90% HM7 and 10% activated lymphocytes or pure HM7 were indistinguishable (Figure 3). A mixture of 80% HM7 and 20% activated lymphocytes was slightly different from pure HM7 while a mixture containing 40% activated lymphocytes was clearly separable (Figure 3). Separating a 40% lymphocyte / 60% MC38 mixture from pure MC38 was easier due to higher average ADCs for MC38 cells increasing the difference between them and activated lymphocytes (Figure 4). Cell pellets had similar T
2 values ranging from 39-56 ms.
Discussion
Cell
pellets containing more than 20% activated lymphocytes could be separated from
cell pellets containing only adenocarcinoma cells using temporal diffusion
spectroscopy. The sensitivity of this approach increases with the initial size
difference of respective cell types. Based on these results a substantial number
of lymphocytes would be required for detection. However, the sensitivity to
detect inflammation might be enhanced due to the large number of monocytes and
macrophages present in inflamed tissues.
Conclusion
Temporal
diffusion spectroscopy would require a substantial number of lymphocytes for
detection but the sensitivity may be sufficient to detect inflammation in
highly inflamed tissues.
Acknowledgements
We
would like to thank Stephen Santoro from the Turley lab (Department of Cancer
Immunology) for his help with T-cell culture protocols.References
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Li H, Zaho P, Gore JC, Xu J. Quantificaiton of cell size using temporal
diffusion spectroscopy. Magn Reson Med 2015; (ahead of print).
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gradient measurements of water diffusion in normal and globally ischemic rat
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