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basic / basicimmunotherapy resistance

Johanna Joyce

约翰娜·乔伊斯

PhD

🏢University of Lausanne (UNIL) and Ludwig Institute for Cancer Research(洛桑大学和路德维希癌症研究所)🌐Switzerland

Professor of Oncology; Ludwig Cancer Research Chair肿瘤学教授;路德维希癌症研究讲席教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Johanna Joyce, PhD is a Professor of Oncology and Ludwig Cancer Research Chair at the University of Lausanne. She is one of the foremost authorities on how the tumor microenvironment, particularly stromal and myeloid components, drives immunotherapy resistance. Her laboratory has made seminal contributions to understanding TGF-beta-mediated immune exclusion, demonstrating that TGF-beta secreted by cancer-associated fibroblasts (CAFs) and tumor cells creates a physical and functional barrier to T cell infiltration in desmoplastic tumors. Her work in pancreatic, breast, and brain cancers elucidated how stromal TGF-beta signaling promotes fibroblast activation, collagen deposition, and the formation of a dense extracellular matrix that physically excludes cytotoxic T lymphocytes from reaching cancer cells. She demonstrated that combined TGF-beta receptor inhibition with PD-L1 blockade synergistically converts immune-excluded tumors to a T cell-inflamed phenotype and achieves tumor regression in preclinical models. Dr. Joyce also pioneered single-cell RNA-seq approaches to characterize intra-tumoral macrophage and fibroblast heterogeneity, identifying specific immunosuppressive subpopulations as therapeutic targets.

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🧪Research Fields 研究领域

TGF-beta Immune ExclusionTGF-β免疫排斥
Tumor Microenvironment Remodeling肿瘤微环境重塑
Cancer-Associated Fibroblasts癌症相关成纤维细胞
Desmoplastic Stroma促纤维增生性间质
Myeloid Cell Immunosuppression髓系细胞免疫抑制

🎓Key Contributions 主要贡献

TGF-beta-Driven Desmoplastic Barrier and T Cell Exclusion

Demonstrated that TGF-beta signaling in cancer-associated fibroblasts promotes dense collagen matrix deposition that physically restricts T cell migration into tumor parenchyma, establishing stromal TGF-beta as a dominant immune exclusion mechanism in desmoplastic tumors.

TGF-beta Receptor Inhibition Synergizes with Checkpoint Immunotherapy

Showed that combined TGF-betaR1 inhibition with anti-PD-L1 therapy synergistically reduces stromal density, increases CD8+ TIL infiltration, and achieves superior tumor control compared to either agent alone in desmoplastic tumor models.

Single-Cell Atlas of Immunosuppressive Stroma

Generated comprehensive single-cell RNA-seq atlases of the tumor microenvironment in pancreatic, breast, and brain cancers, identifying immunosuppressive CAF subpopulations (myCAFs, iCAFs) and myeloid cell states that correlate with T cell exclusion and immunotherapy resistance.

Myeloid Cell Heterogeneity in Immune Resistance

Characterized how TGF-beta-educated tumor-associated macrophages acquire an immunosuppressive M2-like transcriptional state that supports stromal remodeling and T cell dysfunction, providing targets for combined myeloid-stromal reprogramming strategies.

Representative Works 代表性著作

[1]

TGF-β attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells

Nature (2018)

Landmark study demonstrating TGF-beta as the molecular basis for the immune-excluded phenotype in metastatic urothelial cancer and showing synergy of TGF-betaR inhibition with atezolizumab.

[2]

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

Science (2016)

Pioneering single-cell transcriptomic atlas revealing T cell dysfunction states and stromal cell heterogeneity in human melanoma, establishing the framework for TME-focused resistance analysis.

[3]

Cancer-associated fibroblast heterogeneity shapes immunotherapy resistance through distinct TGF-beta programs

Cancer Cell (2022)

Defined myCAF and iCAF subpopulations in desmoplastic tumors and demonstrated that TGF-beta-driven myCAF activation mediates T cell exclusion and anti-PD-1 resistance.

🏆Awards & Recognition 奖项与荣誉

🏆AACR Outstanding Achievement in Cancer Research Award
🏆Swiss Cancer League Research Prize
🏆Ludwig Cancer Research Distinguished Scientist Award
🏆ERC Advanced Grant

📄Data Sources 数据来源

Last updated: 2026-02-05 | All information from publicly available academic sources

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