T reg cells drive MYCN-mediated immunosuppression and tumor aggressiveness in high-risk neuroblastoma
Year: 2022
Type: preprint
Abstract: Solid tumors, especially those with aberrant MYCN activation, harbor an immunosuppressive microenvironment to fuel malignant growth and trigger treatment resistance 1,2 , yet the underlying mechanisms are elusive and effective strategies to tackle this challenge are lacking. Here we demonstrated the crucial role of T regulatory (T reg ) cells in MYCN-mediated immune repression and tumor aggression using high-risk neuroblastoma (NB) as a model system. Human MYCN-activated NB attracts CD4 + T reg cells, which are also found enriched in MYCN-high primary patient samples. Zebrafish MYCN -overexpressing neural crests recruit Cd4 + cells before tumor formation and induce an immunosuppressive microenvironment, thereby promoting tumor onset and progression. Strikingly, disruption of T reg cells through depletion of forkhead box protein 3a restores anti-tumor immunity and impairs NB development. Together, our studies establish T reg cells as the key driver of MYCN-mediated immunosuppression and tumor aggressiveness, providing mechanistic insights and therapeutic implications.
Authors: Xiaodan Qin, Andrew Lam, Xu Zhang, Satyaki Sengupta, J. Bryan Iorgulescu, Tao Zuo, Alexander E. Floru, Grace Meara, Liang Lin, Kenneth Lloyd, Lauren Kwok, Kaylee Smith, Raghavendar T. Nagaraju, Rob Meijers, Craig Ceol, Ching-Ti Liu, Sanda Alexandrescu, Catherine J. Wu, Derin B. Keskin, Rani E. George, Hui Feng
Institutions: Boston University, South China Agricultural University, Harvard University, Dana-Farber Cancer Institute, The University of Texas MD Anderson Cancer Center, Boston Medical Center, Institute for Protein Innovation, University of Manchester, The Christie NHS Foundation Trust, University of Massachusetts Chan Medical School, Boston Children's Hospital, Brigham and Women's Hospital, Technical University of Denmark
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4302018516