Platform supporting an integrated analysis of image and multiOMICs data based on liquid biopsies for tumor diagnostics

VISIOMICS aims at developing a comprehensive solution for refined tumor diagnostics offering workflow management, multi-level data integration and advanced user interface solution in one efficient and certifiable workflow. Neuroblastoma, as a rare disease, will serve as a model to help solving the currently frequently observed problems in diagnostics accompanying personalized treatment strategies, i.e. integration of multi-level data despite of scarcity of samples and incomplete datasets. We therefore plan to expand our analysis by integrating DNA/RNA-sequencing and SNP-array data and combine them with imaging derived morphological and antibody staining properties of disseminated tumor cells isolated from liquid biopsies. Integration is performed in a sequential manner to better define genes and/or cell features, allowing to distinguish between samples from relapse versus non-relapse patients already at the time of diagnosis.
The VISIOMICS software platform, linked to a centralized database storing raw and processed data, will be an important tool enabling efficient user interaction and data visualisation tasks to translate expert knowledge into clinical/diagnostic analysis workflows.

Aim of the Project

Consortium

Publications

Posters

  • Deep learning based tool to analyze I-FISH spots in consecutive sections of heterogeneously amplified neuroblastoma tumors
    ANR2018 – Advances in Neuroblastoma Research 2018, San Francisco – https://www.anrmeeting.org/meetings-2018.php

  • Towards characterizing new biomarkers for disseminated tumor cells and the microenvironment of the metastatic bone marrow niche in stage m neuroblastoma
    SIOPEN 2018, Israel – https://www.siopenisrael.com/

  • VISIOMICS – Platform supporting an integrated analysis of image and multiOMICs data for biology based advanced tumor diagnostics
    From Lab to Life Symposium 2018, Vienna – https://www.labtolife.at/

  • Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction
    From Lab to Life Symposium 2018, Vienna – https://www.labtolife.at/

Acknowledgements

The project VISIOMICS was funded by the Austrian Research Promotion Agency (FFG) via the COIN program under the grantno. 861750.