ATB – Applied Tumor Biology

At the Department of Applied Tumor Biology (ATB), we investigate how cancer evolves and interacts with its host, and use this knowledge to develop new strategies for cancer detection, treatment and prevention.
Our research bridges molecular tumor biology, immunology, pathology and computational science. We focus particularly on high-risk settings in which cancer development can be identified and studied before invasive disease occurs, creating unique opportunities for early detection and preventive intervention.
Two complementary models are at the heart of our research: DNA mismatch repair (MMR) deficiency and microsatellite instability (MSI), including Lynch syndrome, and HPV-driven carcinogenesis. While biologically distinct, both provide unique opportunities to study the transition from cancer risk through early molecular and precancerous changes to invasive disease and to develop strategies for early detection, cancer interception and prevention.
Our research

Six directions, one goal: from lab to life

From the first molecular changes in a cell to tests, therapies and prevention for patients: this is where our projects work.

Cancer Pathogenesis & Evolution

How does cancer emerge, and what determines its evolutionary trajectory? We investigate how genomic and epigenetic alterations, oncogenic signaling, and selective pressures interact to drive malignant transformation. By integrating molecular, histopathological, and computational approaches, we reconstruct the earliest stages of carcinogenesis and identify mechanisms governing tumor initiation, progression, and evolution.

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Tumor Immunology & Immunoprevention

Immune surveillance shapes cancer development long before clinical manifestation. We investigate how tumor-associated antigens trigger immune responses, how immune selection influences tumor evolution, and how emerging clones evade recognition. Understanding these interactions provides the foundation for developing immune-based strategies for cancer prevention and therapeutic intervention.

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Epigenetics & Targeted Intervention

Epigenetic regulation links oncogenic signaling to gene expression and cellular fate. We investigate how DNA methylation, histone modifications, and chromatin regulation contribute to malignant transformation, cellular plasticity, and senescence. By uncovering the interplay between epigenetic alterations and tumor development, we aim to identify therapeutic vulnerabilities and develop mechanism-based interventions.

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AI & Mathematical Oncology

We combine mechanistic mathematical modeling and artificial intelligence to investigate cancer biology and advance molecular diagnostics. Our approaches model tumor evolution and the biological and technical processes underlying diagnostic assays. By integrating experimental, molecular, imaging, and clinical data, we aim to test biological hypotheses, optimize diagnostic strategies, and develop robust predictive models.

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Molecular Diagnostics & Early Detection

Molecular alterations can reveal malignant transformation before conventional morphological changes become apparent. We identify and validate biomarkers reflecting oncogenic activity, genomic instability, and epigenetic dysregulation. Translating these insights into robust diagnostic approaches, we aim to improve early detection, risk stratification, and clinically relevant molecular classification.

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Global Oncology & Translational Innovation

Advances in cancer research must translate into accessible and effective healthcare solutions. Together with international partners, we develop, validate, and implement innovative approaches to cancer prevention, screening, and molecular diagnostics. Our goal is to bridge mechanistic discoveries and clinical applications across diverse healthcare settings, particularly in resource-limited regions.

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