Dissecting Tumour MicroenvirOnment in Solid Paediatric Tumour to Improve Adoptive Cell Therapy

Pediatric solid tumors exhibit a low mutational burden, limited availability of neoantigens, and poor infiltration of tumor-infiltrating lymphocytes (TILs) within the tumor microenvironment (TME), characteristics that reduce the effectiveness of immunotherapies in children. However, pediatric tumors express a subgroup of antigens that can be exploited as targets. Stimulating the T lymphocyte response against these antigens could overcome immunosuppressive barriers. The adoption of therapies based on cytotoxic T lymphocytes (CTLs) represents a promising strategy. A total of 42 neoplasms were analyzed, including: 8 neuroblastomas, 7 sarcomas, 4 nephroblastomas, 1 renal carcinoma, 2 rhabdomyosarcomas, 5 lymphomas, 2 ovarian carcinomas, 4 teratomas, 2 thyroid tumors, and 7 other rare tumors. Primary cells from these tumors were preserved, resulting in the stabilization of 5 cell lines used for functional studies in vitro. Currently, 4 tumor-specific CTL lines derived from healthy adult donors have been expanded; tumor antigen-specific T cells showed the ability to recognize and kill commercial tumor cell lines as well as stabilized pediatric tumor lines from osteosarcoma, nephroblastoma, and neuroblastoma. In particular, the G-Rex bioreactor enabled greater expansion of CTLs while maintaining a broad spectrum of specificity for most tumor antigens and a lymphocyte phenotype with an increased composition of early memory T cells, correlated with greater persistence in vivo. The results demonstrate that the use of bioreactors represents a significant advancement in the production of CTLs specific for pediatric tumor antigens. The ability of CTLs derived from bioreactors to express early memory and activation markers makes them particularly promising for clinical applications, where persistence and efficacy are key factors. Based on the presented results, the analysis of in vivo persistence and cytotoxic capacities in preclinical models will be deepened, aiming to confi