NGFN-PLUS
Prostate cancer
| Coordinator: | PD Dr. Holger Sültmann | |
| Institution: | Deutsches Krebsforschungszentrum (DKFZ) | |
| Homepage: | http://www.dkfz.de |
The aim of the Integrated Genome Research Project (IG) Prostate Cancer is to utilize the high-throughput technologies that were established within the NGFN towards an improved clinical management of prostate cancer. In order to create the critical mass and synergies required to achieve substantial improvements in this field, we have joined the forces of internationally renowned partners in molecular genome analysis, urology, and pathology.
The IG Prostate Cancer will cover the entire workflow from the identification of novel molecular marker signatures to data validation in large-scale retrospective analyses as well as a prospective clinical study. We expect to generate validated molecular markers for improving the detection of tumors and for assessing the risk of cancer progression. To optimally exploit these markers, we will develop technologies for tumor detection in patient tissue and serum. We will perform in-depth functional analysis of biomarkers from cell lines up to the level of mammalian model organisms. With the comprehensive understanding of gene functions enabled by experimental data and bioinformatic network generation and data modeling, the results will be crucial to determine optimal diagnostic and therapeutic strategies for patient treatment.
Additional relevant Internet links:
ig-prostate-cancer
The IG Prostate Cancer will cover the entire workflow from the identification of novel molecular marker signatures to data validation in large-scale retrospective analyses as well as a prospective clinical study. We expect to generate validated molecular markers for improving the detection of tumors and for assessing the risk of cancer progression. To optimally exploit these markers, we will develop technologies for tumor detection in patient tissue and serum. We will perform in-depth functional analysis of biomarkers from cell lines up to the level of mammalian model organisms. With the comprehensive understanding of gene functions enabled by experimental data and bioinformatic network generation and data modeling, the results will be crucial to determine optimal diagnostic and therapeutic strategies for patient treatment.
Additional relevant Internet links:
ig-prostate-cancer
- TP1 Collectivization and povision of optimized bioresources and clinical data
- TP2 Biological and clinical significance of micro-amplifications in prostate cancer
- TP3 Cytogenetic and molecular genetic characterization of translocation breakpoints
- TP4 Analysis of genetic and epigenetic alterations in prostate cancer
- TP5 Identification of splice variants and miRNAs and their validation as markers and signatures
- TP6 Identification of clinical relevant protein markers of prostate carcinoma
- TP7 Development and commercialising of a diagnostic tool for early diagnosis of prostate cancer
- TP8 Identification and validation of diagnostic and prognostic markers of prostate cancer
- TP9 Quantitaive analysis of signalling pathways using protein microarrays
- TP10 Molecular tumor imaging using antibody-coated nanoparticles
- TP11 Functional assays in prostate carcinoma cell lines
- TP12 In vivo analysis of genes associated with prostate carcinoma in mouse models
- TP13 Bioinformatics and systembiology
- TP14 Coordination, communication and quality management
- Publications


