1. Comprehensive characterisation and modelling of the spatial and temporal landscape of tumour cell subpopulations during disease progression and therapy using prospective collection of multiple subsections of freshly acquired tumours
2. Identification of genetic and transcriptomic biomarkers for tumour cell subpopulations, in particular drug resistant cell subpopulations, using mass cytometry and single-cell deep sequencing
3. Development and application of integrative computational tools that will predict efficient combination therapy modalities among molecularly-targeted anticancer compounds that are able to kill the identified subpopulations in cell cultures and in vivo
4. Development and validation of a marketable prototype biomarker kit for predicting high-grade serous ovarian cancer patients’ response to combinatorial therapeutic modalities based on a formalin-fixed, paraffin-embedded (FFPE) sample from a tumour
The project started on January 1, 2016, and its main results will be posted here and published in international peer reviewed journals.
The latest update of the HERCULES Data Managemet Plan can be downloaded from here