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Du W, Menjivar RE, Donahue KL, Kadiyala P, Velez-Delgado A, Brown KL, Watkoske HR, He X, Carpenter ES, Angeles CV, Zhang Y, Pasca di Magliano M. WNT signaling in the tumor microenvironment promotes immunosuppression in murine pancreatic cancer. J Exp Med 2023; 220:e20220503. [PMID: 36239683 PMCID: PMC9577101 DOI: 10.1084/jem.20220503] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/06/2022] [Accepted: 09/07/2022] [Indexed: 01/16/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDA) is associated with activation of WNT signaling. Whether this signaling pathway regulates the tumor microenvironment has remained unexplored. Through single-cell RNA sequencing of human pancreatic cancer, we discovered that tumor-infiltrating CD4+ T cells express TCF7, encoding for the transcription factor TCF1. We conditionally inactivated Tcf7 in CD4 expressing T cells in a mouse model of pancreatic cancer and observed changes in the tumor immune microenvironment, including more CD8+ T cells and fewer regulatory T cells, but also compensatory upregulation of PD-L1. We then used a clinically available inhibitor of Porcupine, a key component of WNT signaling, and observed similar reprogramming of the immune response. WNT signaling inhibition has limited therapeutic window due to toxicity, and PD-L1 blockade has been ineffective in PDA. Here, we show that combination targeting reduces pancreatic cancer growth in an experimental model and might benefit the treatment of pancreatic cancer.
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Affiliation(s)
- Wenting Du
- Department of Surgery, University of Michigan, Ann Arbor, MI
| | - Rosa E. Menjivar
- Cellular and Molecular Biology Program, University of Michigan, Ann Arbor, MI
| | | | - Padma Kadiyala
- Immunology Program, University of Michigan, Ann Arbor, MI
| | - Ashley Velez-Delgado
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI
| | | | | | - Xi He
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Eileen S. Carpenter
- Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
| | - Christina V. Angeles
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | - Yaqing Zhang
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | - Marina Pasca di Magliano
- Department of Surgery, University of Michigan, Ann Arbor, MI
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI
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An age-structured model of hepatitis B viral infection highlights the potential of different therapeutic strategies. Sci Rep 2022; 12:1252. [PMID: 35075156 PMCID: PMC8786976 DOI: 10.1038/s41598-021-04022-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/10/2021] [Indexed: 12/19/2022] Open
Abstract
Hepatitis B virus (HBV) is a global health threat, and its elimination by 2030 has been prioritised by the World Health Organisation. Here we present an age-structured model for the immune response to an HBV infection, which takes into account contributions from both cell-mediated and humoral immunity. The model has been validated using published patient data recorded during acute infection. It has been adapted to the scenarios of chronic infection, clearance of infection, and flare-ups via variation of the immune response parameters. The impacts of immune response exhaustion and non-infectious subviral particles on the immune response dynamics are analysed. A comparison of different treatment options in the context of this model reveals that drugs targeting aspects of the viral life cycle are more effective than exhaustion therapy, a form of therapy mitigating immune response exhaustion. Our results suggest that antiviral treatment is best started when viral load is declining rather than in a flare-up. The model suggests that a fast antibody production rate always leads to viral clearance, highlighting the promise of antibody therapies currently in clinical trials.
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