research / researchTumor Microenvironment

Thorsten Hagemann

托尔斯滕·哈格曼

MD, PhD

🏢Queen Mary University of London, Barts Cancer Institute(伦敦玛丽女王大学巴茨癌症研究所)🌐United Kingdom

Professor of Cancer Immunology; Head, Tumour Microenvironment Laboratory癌症免疫学教授；肿瘤微环境实验室主任

h-index

Key Papers

Awards

Key Contributions

👥Biography 个人简介

Leading UK expert in tumor-associated macrophages in ovarian cancer and peritoneal malignancies at Barts Cancer Institute, Queen Mary University London. Hagemann pioneered TAM re-education via IKKβ/NF-κB manipulation and defined how ascitic IL-4 drives immunosuppressive macrophage polarization in ovarian cancer.

🧪Research Fields 研究领域

Ovarian Cancer Macrophages卵巢癌巨噬细胞

Peritoneal TME腹膜肿瘤微环境

TAM Re-education via NF-κBNF-κB介导的TAM再教育

IL-4 Macrophage PolarizationIL-4巨噬细胞极化

Macrophage-Targeted Therapy巨噬细胞靶向治疗

🎓Key Contributions 主要贡献

TAM Re-education via IKKβ/NF-κB

Demonstrated that IKKβ-driven NF-κB activation in TAMs restores an inflammatory anti-tumor phenotype in ovarian cancer, providing a therapeutic strategy to re-educate immunosuppressive macrophages in the peritoneal TME.

Peritoneal TAM Immunosuppression in Ovarian Cancer

Characterized how ascitic fluid IL-4 and other cytokines create an immunosuppressive peritoneal macrophage niche promoting ovarian cancer dissemination and resistance to platinum-based chemotherapy.

Representative Works 代表性著作

[1]

Re-educating tumor-associated macrophages by targeting NF-κB

Journal of Experimental Medicine (2008)

Pioneering study showing IKKβ-mediated NF-κB activation in ovarian TAMs switches them from tumor-promoting to tumoricidal phenotype, suppressing tumor growth in vivo.

[2]

Macrophages as mediators of tumor-promoting inflammation in ovarian cancer

Cancer Research (2016)

Peritoneal TAM transcriptome profiling linking cytokine networks in ascites to immune evasion and chemoresistance in high-grade serous ovarian carcinoma.

🏆Awards & Recognition 奖项与荣誉

🏆Cancer Research UK Senior Cancer Research Fellowship

🏆Wellcome Trust Investigator Award

🏆ECCO Young Investigator Award

📄Data Sources 数据来源

Institution

Last updated: 2026-01-15 | All information from publicly available academic sources

Related Experts 相关专家

Faisal Mahmood

Brigham and Women's Hospital; Harvard Medical School

Computational Pathology — Deep Learning for Whole-Slide Image Analysis and Tumor Microenvironment CharacterizationFoundation Models for Pathology — CONCH and TITAN Vision-Language Models for Oncology

Kun-Hsing Yu

Harvard Medical School; Brigham and Women's Hospital

Multimodal Oncology AI — Integrating Pathology Images, Genomics, Proteomics, and Clinical RecordsAI Pathology-Genomics Integration — Predicting Molecular Alterations from Histomorphology

Ziad Obermeyer

University of California, Berkeley; UC San Francisco

Algorithmic Bias in Healthcare AI — Racial Disparities in Predictive Risk ScoresPredictive Models for Cancer and Critical Illness — Machine Learning in Clinical Practice

Andrew H. Beck

PathAI; Harvard Medical School (formerly)

PathAI — Founding and Scientific Direction of AI-Powered Pathology PlatformDeep Learning for Pathology Biomarker Discovery — TILs, Fibrosis, and Tumor Architecture

关注托尔斯滕·哈格曼的研究动态

Follow Thorsten Hagemann's research updates

留下邮箱，当我们发布与 Thorsten Hagemann（Queen Mary University of London, Barts Cancer Institute）相关的新研究或访谈时，我们会通知你。

Explore More Experts

Discover the researchers shaping the future of cancer treatment

Browse All Experts Read Research Insights

International Translational Oncology Exchange