Detection of response to tumor microenvironment-targeted cellular immunotherapy using nano-radiomics.
Laxman DevkotaZbigniew A StarosolskiCharlotte H RivasIgor StupinAnanth AnnapragadaKetan B GhaghadaRobin PariharPublished in: Science advances (2020)
Immunotherapies, including cell-based therapies, targeting the tumor microenvironment (TME) result in variable and delayed responses. Thus, it has been difficult to gauge the efficacy of TME-directed therapies early after administration. We investigated a nano-radiomics approach (quantitative analysis of nanoparticle contrast-enhanced three-dimensional images) for detection of tumor response to cellular immunotherapy directed against myeloid-derived suppressor cells (MDSCs), a key component of TME. Animals bearing human MDSC-containing solid tumor xenografts received treatment with MDSC-targeting human natural killer (NK) cells and underwent nanoparticle contrast-enhanced computed tomography (CT) imaging. Whereas conventional CT-derived tumor metrics were unable to differentiate NK cell immunotherapy tumors from untreated tumors, nano-radiomics revealed texture-based features capable of differentiating treatment groups. Our study shows that TME-directed cellular immunotherapy causes subtle changes not effectively gauged by conventional imaging metrics but revealed by nano-radiomics. Our work provides a method for noninvasive assessment of TME-directed immunotherapy potentially applicable to numerous solid tumors.
Keyphrases
- contrast enhanced
- nk cells
- computed tomography
- diffusion weighted
- magnetic resonance imaging
- magnetic resonance
- diffusion weighted imaging
- dual energy
- high resolution
- endothelial cells
- positron emission tomography
- cancer therapy
- single cell
- induced pluripotent stem cells
- pluripotent stem cells
- deep learning
- stem cells
- image quality
- cell therapy
- lymph node metastasis
- real time pcr
- signaling pathway
- ultrasound guided
- oxidative stress
- pet ct
- drug delivery
- mesenchymal stem cells
- photodynamic therapy
- pi k akt
- clinical evaluation