Research
- Research Topics
- Cell Biology and Tumor Biology
- Stem Cells and Cancer
- Inflammatory Stress in Stem Cells
- Experimental Hematology
- Molecular Embryology
- Signal Transduction and Growth Control
- Epigenetics
- Redox Regulation
- Vascular Oncology and Metastasis
- Clinical Neurobiology
- Molecular Neurogenetics
- Molecular Neurobiology
- Mechanisms Regulating Gene Expression
- Molecular Biology of Centrosomes and Cilia
- Dermato-Oncology
- Pediatric Leukemia
- Tumour Metabolism and Microenvironment
- Personalized Medical Oncology
- Molecular Hematology - Oncology
- Cancer Progression and Metastasis
- Translational Surgical Oncology
- Neuronal Signaling and Morphogenesis
- Cell Signaling and Metabolism
- Cell Fate Engineering and Disease Modeling
- Cancer Drug Development
- Cell Morphogenesis and Signal Transduction
- Functional and Structural Genomics
- Molecular Genome Analysis
- Molecular Genetics
- Pediatric Neurooncology
- Cancer Genome Research
- Chromatin Networks
- Functional Genome Analysis
- Theoretical Systems Biology
- Neuroblastoma Genomics
- Signaling and Functional Genomics
- Signal Transduction in Cancer and Metabolism
- RNA-Protein Complexes and Cell Proliferation
- Systems Biology of Signal Transduction
- Areas of Interest
- Advancement of clinical proteomics for systems medicine
- Bridging from the single cell to the cell population – Epo-induced cellular responses and erythroleukemia
- Deciphering tumor microenvironment interactions determining lung cancer development
- Mechanisms controlling the compensation of liver injury and towards model-based biomarkers for early detection of liver cancer
- Application of dynamic pathway modelling for personalized medicine
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- Molecular thoracic Oncology
- Proteomics of Stem Cells and Cancer
- Computational Genomics and System Genetics
- Applied Functional Genomics
- Applied Bioinformatics
- Translational Medical Oncology
- Metabolic crosstalk in cancer
- Pediatric Glioma Research
- Cancer Epigenomics
- Translational Pediatric Sarcoma Research
- Artificial Intelligence in Oncology
- Mechanisms of Genomic Variation and Data Science
- Neuropathology
- Pediatric Oncology
- Neurooncology
- Somatic Evolution and Early Detection
- Translational Control and Metabolism
- Soft-Tissue Sarcoma
- Precision Sarcoma Research
- Brain Mosaicism and Tumorigenesis
- Mechanisms of Genome Control
- Translational Gastrointestinal Oncology and Preclinical Models
- Translational Lymphoma Research
- Mechanisms of Leukemogenesis
- Genome Instability in Tumors
- Developmental Origins of Pediatric Cancer
- Brain Tumor Translational Targets
- Translational Functional Cancer Genomics
- Regulatory Genomics and Cancer Evolution
- SPRINT
- Cancer Risk Factors and Prevention
- Cancer Epidemiology
- Biostatistics
- Clinical Epidemiology and Aging Research
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- Preventive Oncology
- Personalized Early Detection of Prostate Cancer
- Digital Biomarkers for Oncology
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- Immunotherapy and Immunoprevention
- Virus-associated Carcinogenesis
- Chronic Inflammation and Cancer
- Microbiome and Cancer
- Molecular Oncology of Gastrointestinal Tumors
- Applied Tumor Immunity
- Neuroimmunology and Brain Tumor Immunology
- Applied Tumor Biology
- Virotherapy
- Adaptive Immunity and Lymphoma
- Dermal Oncoimmunology
- Immune Regulation in Cancer
- Systems Immunology and Single Cell Biology
- Pediatric Immuno-Oncology
- Epithelium Microbiome lnteractions
- Experimental Hepatology, Inflammation and Cancer
- GMP & T Cell Therapy
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- Imaging In Monoclonal Plasma Cell Disorders
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- Medical Physics in Radiology
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- Medical Physics in Radiation Oncology
- Biomedical Physics in Radiation Oncology
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- Radiooncology - Radiobiology
- Smart Technologies for Tumor Therapy
- Radiation Oncology
- Molecular Radiooncology
- Nuclear Medicine
- Translational Radiation Oncology
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- Interactive Machine Learning
- Intelligent Systems and Robotics in Urology
- Multiparametric methods for early detection of prostate cancer
- Translational Molecular Imaging in Oncologic Therapy Monitoring
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- Cell Biology and Tumor Biology
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Genetic and non-genetic mechanisms of cancer therapy resistance
A significant clinical problem and unmet need in cancer therapy represents the fact that almost all cancer patients treated, develop resistance to current therapeutic drugs. Cancer therapy resistance is intimately linked to tumor heterogeneity, either preexisting or acquired. Resistance is characterized by transcriptomic and phenotypic changes in both tumor cells and their tumor microenvironment (TME) as well as growth of cells that tolerate the treatment. In this context, drug resistance could either be mediated by the outgrowth of preexisting-refractory tumor-cell subpopulations present in a heterogeneous tumor cell pool, or alternatively the consequence of acquired alterations in the neoplastic cells leading to the generation of resistant cells (Fig.1). Insights into genomic and transcriptomic data from tumor cells contributed partly to a mechanistic understanding of treatment failure. However, in over 35% of cases non-genetically determined resistance mechanisms were postulated.
Non-genetic mechanisms of drug resistance could either represent the outgrowth of preexisting-refractory tumor-cell subpopulations (persister-cells), which carry an epigenetic pattern mediating a resistant phenotype or alternatively resistance could be the consequence of acquired epigenetic, intra-tumor heterogeneity with the generation of resistant cells. The molecular pathways leading to non-genetic alteration driving cancer therapies are not understood. This is however, of upmost importance since an improved mechanistic understanding of therapy resistance could support the discovery of novel vulnerabilities providing directions for novel therapeutic avenues.
We will focus our work on acute myeloid leukemia (AML) and lung cancer.