Article Text
Abstract
Objective Liver metastases are often resistant to immune checkpoint inhibitor therapy (ICI) and portend a worse prognosis compared with metastases to other locations. Regulatory T cells (Tregs) are one of several immunosuppressive cells implicated in ICI resistance of liver tumours, but the role played by Tregs residing within the liver surrounding a tumour is unknown.
Design Flow cytometry and single-cell RNA sequencing were used to characterise hepatic Tregs before and after ICI therapy.
Results We found that the murine liver houses a Treg population that, unlike those found in other organs, is both highly proliferative and apoptotic at baseline. On administration of αPD-1, αPD-L1 or αCTLA4, the liver Treg population doubled regardless of the presence of an intrahepatic tumour. Remarkably, this change was not due to the preferential expansion of the subpopulation of Tregs that express PD-1. Instead, a subpopulation of CD29+ (Itgb1, integrin β1) Tregs, that were highly proliferative at baseline, doubled its size in response to αPD-1. Partial and full depletion of Tregs identified CD29+ Tregs as the prominent niche-filling subpopulation in the liver, and CD29+ Tregs demonstrated enhanced suppression in vitro when derived from the liver but not the spleen. We identified IL2 as a critical modulator of both CD29+ and CD29− hepatic Tregs, but expansion of the liver Treg population with αPD-1 driven by CD29+ Tregs was in part IL2-independent.
Conclusion We propose that CD29+ Tregs constitute a unique subpopulation of hepatic Tregs that are primed to respond to ICI agents and mediate resistance.
- liver
- immunotherapy
- cancer
Data availability statement
Data are available in a public, open access repository. All data relevant to the study are included in the article or uploaded as online supplemental information. scRNAseq data have been deposited in the GEO database (GSE221186).
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Data availability statement
Data are available in a public, open access repository. All data relevant to the study are included in the article or uploaded as online supplemental information. scRNAseq data have been deposited in the GEO database (GSE221186).
Footnotes
Twitter @bengreen_MD, @BenniRuf
BLG and YM contributed equally.
Contributors Conceptualisation: BLG, YM, CM and TFG; Methodology: BLG, YM, CM, QZ, UR, TFG, LM, MR, VS and RG; Investigation: BLG, YM, JQ, QZ, UR, LM, MR, VS, RG, XW, AN and JM; Visualisation: BLG, YM, TFG, LM and MR; Funding acquisition: TFG, MC and XWW; Project administration: BLG, YM, CM and TFG; Supervision: TFG, FK, MC and XWW; Writing—original draft: BLG and TFG; Writing—review and editing: BLG, YM, CM, BR, LM, QZ, UR, JQ, MR, SW, KB, M-RB, JM, AN, XW, VS, RG, MC, XWW, FK and TFG. Guarantor: TG.
Funding BR was supported by the International Liver Cancer Association (ILCA) Fellowship Award 2021. SW was funded by the Deutsche Forschungsgemeinschaft (WA-4610/1-1). TFG was supported by the Intramural Research Program of the NIH, NCI (ZIA BC 011345).
Competing interests None declared.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review Not commissioned; externally peer reviewed.
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