Myeloid-derived suppressor cell subtypes differentially influence T-cell function, T-helper subset differentiation, and clinical course in CLL.
Gerardo FerrerByeongho JungPui Yan ChiuRukhsana AslamFlorencia PalaciosAndrea Nicola MazzarelloStefano VerganiDavide BagnaraShih-Shih ChenSophia YancopoulosAliki XochelliXiao-Jie YanJan A BurgerJacqueline C BarrientosJonathan E KolitzSteven L AllenKostas StamatopoulosKanti R RaiBarbara SherryNicholas ChiorazziPublished in: Leukemia (2021)
Cancer pathogenesis involves the interplay of tumor- and microenvironment-derived stimuli. Here we focused on the influence of an immunomodulatory cell type, myeloid-derived suppressor cells (MDSCs), and their lineage-related subtypes on autologous T lymphocytes. Although MDSCs as a group correlated with an immunosuppressive Th repertoire and worse clinical course, MDSC subtypes (polymorphonuclear, PMN-MDSC, and monocytic, M-MDSCs) were often functionally discordant. In vivo, PMN-MDSCs existed in higher numbers, correlated with different Th-subsets, and more strongly associated with poor clinical course than M-MDSCs. In vitro, PMN-MDSCs were more efficient at blocking T-cell growth and promoted Th17 differentiation. Conversely, in vitro M-MDSCs varied in their ability to suppress T-cell proliferation, due to the action of TNFα, and promoted a more immunostimulatory Th compartment. Ibrutinib therapy impacted MDSCs differentially as well, since after initiating therapy, PMN-MDSC numbers progressively declined, whereas M-MDSC numbers were unaffected, leading to a set of less immunosuppressive Th cells. Consistent with this, clinical improvement based on decreasing CLL-cell numbers correlated with the decrease in PMN-MDSCs. Collectively, the data support a balance between PMN-MDSC and M-MDSC numbers and function influencing CLL disease course.
Keyphrases
- cell proliferation
- induced apoptosis
- cell therapy
- single cell
- chronic lymphocytic leukemia
- cell cycle arrest
- rheumatoid arthritis
- stem cells
- machine learning
- cell death
- oxidative stress
- papillary thyroid
- signaling pathway
- regulatory t cells
- electronic health record
- big data
- mesenchymal stem cells
- pi k akt
- peripheral blood
- cell fate
- platelet rich plasma
- data analysis