System modeling of T-cell function - Development of adoptive T-cell immunotherapy

Authors: LI, BIAORU - Augusta University; Liu, Ge - George; ZHENG, JIE - Nanyang Technological University

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 11/3/2020
Publication Date: 11/3/2020
Citation: Li, B., Liu, G., Zheng, J. 2020. System modeling of T-cell function - Development of adoptive T-cell immunotherapy (Chapter 12). In: Li, B., Larson, A., Li, S. editors. Personalized Immunotherapy for Tumor Diseases and Beyond. Singapore, Singapore: Bentham Science Publishers Pte. Ltd. p. 197-223.

Interpretive Summary: Comprehensive analyses of adoptive T-cell biology will benefit our understanding of genetic bases for complex diseases and health traits. We provided an overview of adoptive T-cell immunotherapy. These results fill our knowledge gaps and provide the foundation for incorporating new biological insights into the future animal breeding program. Farmers, scientist, and policy planners who need improve animal health and production based on genome-enabled animal selection will benefit from this study.

Technical Abstract: When primary-cells, including non-genetically modified and genetically modified T-cells to produce a special substance, are infused into patients, these performances would be defined as cell therapy. An excellent cell performance with its optimal proliferation for cell therapy should maintain its functional feature and efficacy in vivo with ethical acceptation and safe application. Because the efficacy of cell therapy may be decreased in an in vivo special microenvironment after infusion, moreover, because cell therapy with these genetically modified T-cells would be faced by a safety challenge in clinics, a functional induction/inhibition of some genes’ expressions used in T-cell growth without genetic modification has been increasingly studied. Here, T-cell therapy based on systems biology for an induction/inhibition of special function and maintaining a special function in an in vivo microenvironment is called as functional cell therapy. Nowadays, following research and development (R&D) of T-cell proliferatively engineering techniques and system modeling by this computational simulation performance, the novel techniques of T-cell culture based on genomic analysis and supported by systems biology will be increasingly studied for adoptive T-cell therapy so that oncologists can safely and effectively utilize the new strategy for personalized immunotherapy.