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
- Chaperones and Proteases
- Vascular Signaling and Cancer
- 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 Biology and Cancer
- Systems Biology of Signal Transduction
- 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
- 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
- Health Economics
- Physical Activity, Prevention and Cancer
- Preventive Oncology
- Digital Biomarkers for Oncology
- Genomic Epidemiology
- Cancer Survivorship
- Immunology and Cancer
- Cellular Immunology
- Molecular Oncology of Gastrointestinal Tumors
- T Cell Metabolism
- Translational Immunotherapy
- B Cell Immunology
- Immune Diversity
- Structural Biology of Infection and Immunity
- Applied Tumor Immunity
- Neuroimmunology and Brain Tumor Immunology
- Adaptive Immunity and Lymphoma
- Immune Regulation in Cancer
- Systems Immunology and Single Cell Biology
- GMP & T Cell Therapy
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- Radiology
- Research
- Computational Radiology Research Group
- Contrast Agents In Radiology Research Group
- Neuro-Oncologic Imaging Research Group
- Radiological Early Response Assessment Of Modern Cancer Therapies
- Imaging In Monoclonal Plasma Cell Disorders
- 7 Tesla MRI - Novel Imaging Biomarkers
- Functional Imaging
- Visualization And Forensic Imaging
- PET/MRI
- Dual- and Multienergy CT
- Radiomics Research Group
- Prostate Research Group
- Breast Imaging Research Group
- Bone marrow
- Musculoskeletal Imaging
- Microstructural Imaging Research Group
- Staff
- Patients
- Research
- Medical Physics in Radiology
- X-Ray Imaging and Computed Tomography
- Federated Information Systems
- Translational Molecular Imaging
- Medical Physics in Radiation Oncology
- Biomedical Physics in Radiation Oncology
- Intelligent Medical Systems
- Medical Image Computing
- Radiooncology - Radiobiology
- Radiation Oncology
- Molecular Radiooncology
- Nuclear Medicine
- Translational Radiation Oncology
- Molecular Biology of Systemic Radiotherapy
- Interactive Machine Learning
- Multiparametric methods for early detection of prostate cancer
- Molecular Mechanisms of Head and Neck Tumors
- Radiology
- Infection, Inflammation and Cancer
- Tumor Virology
- Viral Transformation Mechanisms
- Pathogenesis of Virus-Associated Tumors
- Immunotherapy and Immunoprevention
- Applied Tumor Biology
- Virotherapy
- Virus-associated Carcinogenesis
- Chronic Inflammation and Cancer
- Microbiome and Cancer
- Cell Plasticity and Epigenetic Remodeling
- Experimental Hepatology, Inflammation and Cancer
- Infections and Cancer Epidemiology
- Tumorvirus-specific Vaccination Strategies
- Mammalian Cell Cycle Control Mechanisms
- Molecular Therapy of Virus-Associated Cancers
- DNA Vectors
- Episomal-Persistent DNA in Cancer- and Chronic Diseases
- Other Units
- Cell Biology and Tumor Biology
- Research Groups A-Z
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- Center for Preclinical Research
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- 30th Anniversary Publication
- 20th Anniversary Publication
- Flyer - The Cancer Cooperation Program
- List Publications 1976-2004
- Highlight-Projects
- Cooperational Research Program with Israel: DKFZ - MOST in Cancer Research
- Cooperations with industrial companies
- DKFZ PostDoc Network
- Cross Program Topic RNA@DKFZ
- Cross Program Topic Epigenetics@dkfz
- Cross Program Topic Single Cell Sequencing
- WHO Collaborating Centers
- DKFZ Site Dresden
- Health + Life Science Alliance Heidelberg Mannheim
Division of Biostatistics
Prof. Dr. Annette Kopp-Schneider
The main tasks of the Biostatistics Division are service and research in the field of biostatistical methods and their application in cancer research. We provide statistical support for all scientific activities of the DKFZ, from in vitro and animal studies to human subject research including clinical trials, thus linking the methodical research and biomedical disciplines. Our support covers experimental design, sample size estimation, data analysis and preparation of results for publication. It ranges from brief statistical consultations to longterm collaborations and covers standard statistical analysis approaches as well as the development of complex statistical methods tailored to specific questions. The ongoing evolution of novel measurement techniques and platforms, and the development of new research questions makes it necessary to continuously refine biostatistical and biomathematical methodology and to develop and implement new methods for analysis. Our current research areas reflect the requests we are confronted with from collaborators. We develop and assess efficient and valid methods for visualizing, integrating and analyzing data, in particular high-dimensional molecular data. We develop optimized biometrical designs in experimental cancer research and in clinical studies.
FUTURE OUTLOOK
One focus of interest of our research is the evaluation of molecular data in biomarker studies. We will extend our research to find associations between clinico-pathological factors, prognosis or response to therapy with the aim of identifying diagnostic, prognostic or predictive factors. We will develop and validate statistical methods for classification and prediction using high-dimensional data. Another area of research is the development and application of statistical and stochastic models for dose-response relationships and optimal design of studies for drug combinations. In the era of personalized medicine we investigate designs for (early) clinical trials for biomarker-targeted drugs since biomarker-guided treatment decisions for individual patients are expected to improve the effectiveness of these treatments. In this context, we will develop Bayesian designs which are flexible and able to borrow information within trials or from outside sources.