Toward precision immunotherapy using multiplex immunohistochemistry and in silico methods to define the tumor immune microenvironment.
Samuel S WidodoRyan A HutchinsonYitong FangStefano MangiolaPaul J NeesonPhillip K DarcyAlexander D BarrowChristopher M HovensMarija DinevskaStanley S StylliTheo MantamadiotisPublished in: Cancer immunology, immunotherapy : CII (2021)
Recent developments in cancer immunotherapy promise better outcomes for cancer patients, although clinical trials for difficult to treat cancers such as malignant brain cancer present special challenges, showing little response to first generation immunotherapies. Reasons for differences in immunotherapy response in some cancer types are likely due to the nature of tumor microenvironment, which harbors multiple cell types which interact with tumor cells to establish immunosuppression. The cell types which appear to hold the key in regulating tumor immunosuppression are the tumor-infiltrating immune cells. The current standard treatment for difficult to treat cancer, including the most malignant brain cancer, glioblastoma, continues to offer a bleak outlook for patients. Immune-profiling and correlation with pathological and clinical data will lead to a deeper understanding of the tumor immune microenvironment and contribute toward the selection, optimization and development of novel precision immunotherapies. Here, we review the current understanding of the tumor microenvironmental landscape in glioblastoma with a focus on next-generation technologies including multiplex immunofluorescence and computational approaches to map the brain tumor microenvironment to decipher the role of the immune system in this lethal malignancy.
Keyphrases
- papillary thyroid
- single cell
- clinical trial
- squamous cell
- white matter
- resting state
- childhood cancer
- end stage renal disease
- type diabetes
- chronic kidney disease
- cell therapy
- high throughput
- functional connectivity
- multiple sclerosis
- lymph node metastasis
- skeletal muscle
- deep learning
- metabolic syndrome
- molecular docking
- combination therapy
- molecular dynamics simulations
- adipose tissue
- insulin resistance
- data analysis
- phase iii