Autocrine-based selection of ligands for personalized CAR-T therapy of lymphoma
Author(s) -
А. В. Степанов,
Oleg V. Markov,
Ivan V. Chernikov,
Daniil V. Gladkikh,
Hongkai Zhang,
Teresa M. Jones,
Alexandra V. Sen’kova,
E. L. Chernolovskaya,
Marina A. Zenkova,
R. S. Kalinin,
Maria P. Rubtsova,
Alexander Meleshko,
Dmitry Genkin,
Alexey A. Belogurov,
Jia Xie,
Alexander G. Gabibov,
Richard A. Lerner
Publication year - 2018
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aau4580
Subject(s) - lymphoma , selection (genetic algorithm) , autocrine signalling , computational biology , medicine , cancer research , computer science , bioinformatics , biology , immunology , artificial intelligence , receptor
We report the development of a novel platform to enhance the efficacy and safety of follicular lymphoma (FL) treatment. Since lymphoma is a clonal malignancy of a diversity system, every tumor has a different antibody on its cell surface. Combinatorial autocrine-based selection is used to rapidly identify specific ligands for these B cell receptors on the surface of FL tumor cells. The selected ligands are used in a chimeric antigen receptor T cell (CAR-T) format for redirection of human cytotoxic T lymphocytes. Essentially, the format is the inverse of the usual CAR-T protocol. Instead of being a guide molecule, the antibody itself is the target. Thus, these studies raise the possibility of personalized treatment of lymphomas using a private antibody binding ligand that can be obtained in a few weeks.
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