Lung tumor-infiltrating Treg have divergent transcriptional profiles and function linked to checkpoint blockade response [human]

Regulatory T cells (Treg) are conventionally viewed to suppress endogenous and therapy-induced anti-tumor immunity; however, their role in modulating responses to immune checkpoint blockade (ICB) is unclear. In this study, we integrated single-cell RNAseq/TCRseq of >73,000 tumor-infiltrating Treg (TIL-Treg) from anti-PD-1-treated and treatment naive non-small cell lung cancers (NSCLC) with single cell analysis of tumor-associated antigen (TAA)-specific Treg derived from a murine tumor model. We identified 10 subsets of human TIL-Treg, most of which have high concordance with murine TIL-Treg subsets. Notably, only one subset selectively expresses high levels of OX40 and GITR, whose engangement by cognate ligand mediated proliferative programs and NF-kB activation, as well as multiple genes involved in Treg suppression, including LAG3. Functionally, the OX40hiGITRhi subset is the most highly suppressive ex vivo and its higher representation among total TIL-Treg correlated with resistance to PD-1 blockade. Surprisingly, in the murine tumor model, we found that virtually all TIL-Treg expressing T cell receptors that are specific for TAA fully develop a distinct Th1-like signature over a two-week period after entry into the tumor, down-regulating FoxP3 and up-regulating expression of TBX21 (Tbet), IFN and certain pro-inflammatory granzymes. Transfer learning of a gene score from the murine TAA-specific Th1-like Treg subset to the human single-cell dataset revealed a highly analogous subcluster that was enriched in anti-PD-1 responding tumors. These findings demonstrate that TIL-Treg partition into multiple distinct transcriptionally-defined subsets with potentially opposing effects on ICB-induced anti-tumor immunity and suggest that TAA-specific TIL-Treg may positively contribute to anti-tumor responses. Libraries were prepared accordingn to 10X Genomics protocols for 5' barcoded GEX, feature barcode, and V(D)J TCR (Version 1). NOTE FROM SUBMITTER: Our data includes human patient data, the human raw data will be deposit to EGA. UPDATE: [08-15-2024] The Sample titles and processed data files were renamed, but the processed data associated with each Sample (GSM) did not change.