SP Lead: Andreas Schneeweiss, NCT Heidelberg, Heidelberg
SP Co-Lead: Carsten Denkert, Institute of Pathology, Philipps-University Marburg
SP1 will characterize Intratumor Heterogeneity (ITH) in LumB and TNBC in longitudinally collected patient biomaterial of the active precision oncology trials COGNITION (eBC) and CATCH (mBC) as well as paired biobanked samples from phase III trials. ITH in the genome and gene activity landscapes will be determined in tissue and liquid biopsies at single cell (sc) resolution, pre- and post-treatment, with focus on the two clinical scenarios i) chemotherapy -/+ immunotherapy, and ii) molecularly targeted treatment with CDK4/6 and PARP inhibitors. To investigate the role of the microenvironment and cellular plasticity in therapy resistance and metastasis, patient-derived organoids (PDOs) from biopsies and circulating tumor cells (CTCs) will be generated.
The goal is to determine the dynamic spatial and temporal ITH in LumB and TNBC patients to identify therapeutic targets to overcome treatment resistance.
SP Lead: Florian Greten, Georg-Speyer-Haus, Frankfurt
SP Co-Lead: Lena-Christin Conradi, Clinic for Surgery, University Medicine Göttingen
SP2 will perform comprehensive longitudinal spatiotemporal molecular analyses of CRC on a single cell level coupled to functional validation employing patient-derived tumor organoids and matched stromal cells to address the following objectives:
SP Lead: Christiane Bruns, Clinic for Surgery, University Clinic Cologne
SP Co-Lead: Elisabeth Hessmann, Dep. of Gastroenterology, University Medicine Göttingen
SP3 aims to dissect tumor cell-autonomous and context-dependent tumor evolution and subtype-dependent therapy resistance. To this end, and in order to overcome the limitation in sample accessibility evident in metPDAC, five major PDAC centers establish a unique cohort of patients who undergo minimal-invasive multi-site and longitudinal tumor sampling for spatio-temporal molecular analysis. Our profiling strategy is accompanied by lesion-specific patient-derived organoid (PDO) studies in novel assay systems to address cellular plasticity, microenvironment- and epigenetics-related properties. We envision that the elucidation of the therapy-induced spatio-temporal dynamics of the molecular landscapes empowers the refinement of PDAC therapy.
SP3 will pursue the following objectives:
SP Lead: Karsten Rippe & Peter Lichter, DKFZ, Heidelberg
SP Co-Lead: Maximilian Reichert, University Hospital rechts der Isar (MRI), Munich
SP4, together with the data analysis in SP5, will provide a variety of single cell sequencing (sc-seq) readouts to resolve molecular tumor features in thousands of individual cells and to reveal their evolution during therapy. These in-depth single cell multi-omics analyses of longitudinal sample sets will be combined with PET-CT molecular imaging and liquid biopsies to simultaneously trace development, growth and metastasis in the three tumor entities. Furthermore, complex and advanced patient-derived organoid (PDO) model systems will be generated for investigating mechanisms of tumor heterogeneity and therapy resistance.
SP4 will pursue the following objectives:
SP Lead: Oliver Stegle, DKFZ, Heidelberg
SP Co-Lead: Jan Korbel, EMBL, Heidelberg
SP5 will perform state-of-the-art first-line data processing for Saturn³ and develop novel analytical methods including machine learning/AI for dissecting the spatio-temporal dynamics of cancer evolution through integration of bulk, single-cell and spatial omics data. SP5 will also inform key experimental decisions within Saturn³, guiding the selection of the most informative combination of assays and samples to elucidate tumor heterogeneity in depth. SP5 PIs will chair the Analysis and Sample Selection Working Group of Saturn³, which will ensure a deep coordination of analyses, interpretation and experimental design.
SP5 will pursue the following objectives:
SP Lead: Barbara Maria Grüner, West German Cancer Center, University Medicine Essen
SP Co-Lead: Andreas Trumpp, HI-STEM gGmbH, Heidelberg
Utilizing patient-derived organoid (PDO) models derived from serially collected patient samples (primary tumors/progress/relapse/metastases, liquid biopsies) from SP1- 4, and data obtained from their multi-dimensional single cell analysis (SP5), SP6 will decipher the functional and mechanistic impact of intratumor heterogeneity (ITH) on therapy response, resistance development as well as cancer progression and metastasis in patients.
SP6 will address the following specific objectives:
SP Lead: Sibylle Loibl, German Breast Group and Goethe University of Frankfurt, Germany
SP Co-Lead: Katja Steiger, Institute of Pathology, Technical University Munich
SP7 is dedicated to translate the results of SATURN§ into clinical practice and will provide the link between basic research data generated in SP1-6 and the real-world diagnostic and therapeutic situation, paving the way for a full translation of novel tumor heterogeneity concepts into highly individualized everyday patient care. The basis for these extensive validations are large existing biomaterial collections from prospective clinical trials in breast, colorectal and pancreatic cancer already centralized in previous projects. We will transfer new diagnostic ITH markers to standardized assay platforms which can be used for clinical validation in existing cohorts of clinical trials and in the routine diagnostic setting. In addition, we will develop protocols for future clinical trials to prospectively validate the new heterogeneity tests/concepts to generate level I evidence for clinical application and treatment selection.
SP7 will address the following specific objectives:
SP Lead: Melanie Börries, Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center, University of Freiburg
SP Co-Lead: Jan Korbel, Genome Biology, EMBL, Heidelberg
SP8, will address overarching sample issues and execute a unique image guided postmortem biopsy program (PBP). Within this program, we will generate multisite biopsies from metastatic lesions of BC, CRC and PDAC. Second, an integrated data repository that comprises clinical and molecular data will be established, to pave the way for translating research results into new approaches for diagnosis and treatment of cancer. In pursuing this aim the consortium will consequently adhere to FAIR principles (Findable, Accessible, Interoperable, Reusable) in management of the generated research data and the development of subject-specific and interdisciplinary services, interoperable standards, and interfaces.
SP8 will address the following specific objectives:
SP Lead: Jens Siveke, West German Cancer Center, University Hospital Essen
SP9 will take care of project management, patient engagement, outreach, dissemination, exploitation, communication, gender issues and training.
SP9 will address the following specific objectives: