Multidimensional imaging provides evidence for down-regulation of T cell effector function by MDSC in human cancer tissue.
Yu SiSimon F MerzPhilipp JansenBaoxiao WangKirsten BruderekPetra AltenhoffStefan MattheisStephan LangMatthias GunzerJoachim KlodeAnthony SquireSven BrandauPublished in: Science immunology (2020)
A high intratumoral frequency of neutrophils is associated with poor clinical outcome in most cancer entities. It is hypothesized that immunosuppressive MDSC (myeloid-derived suppressor cell) activity of neutrophils against tumor-reactive T cells contributes to this effect. However, direct evidence for such activity in situ is lacking. Here, we used whole-mount labeling and clearing, three-dimensional (3D) light sheet microscopy and digital image reconstruction supplemented by 2D multiparameter immunofluorescence, for in situ analyses of potential MDSC-T cell interactions in primary human head and neck cancer tissue. We could identify intratumoral hotspots of high polymorphonuclear (PMN)-MDSC and T cell colocalization. In these areas, the expression of effector molecules Granzyme B and Ki67 in T cells was strongly reduced, in particular for T cells that were in close proximity or physically engaged with PMN-MDSC, which expressed LOX-1 and arginase I. Patients with cancer with evidence for strong down-regulation of T cell function by PMN-MDSC had significantly impaired survival. In summary, our approach identifies areas of clinically relevant functional interaction between MDSC and T cells in human cancer tissue and may help to inform patient selection in future combination immunotherapies.
Keyphrases
- endothelial cells
- papillary thyroid
- squamous cell
- induced pluripotent stem cells
- high resolution
- pluripotent stem cells
- dendritic cells
- stem cells
- genome wide
- deep learning
- squamous cell carcinoma
- high throughput
- single molecule
- immune response
- photodynamic therapy
- bone marrow
- risk assessment
- nitric oxide
- human health
- rectal cancer
- long non coding rna
- free survival