Periodic Reporting for period 2 - InCanTeSiMo (Intelligent cancer therapy with synthetic biology methods)
Período documentado: 2022-12-01 hasta 2024-05-31
The ideal cancer therapy should be targeted only to the cancer cells, should be able to act to the same extent on the primary tumour and the metastases, should be effective and affordable.
In this project InCanTeSiMo, we apply synthetic biology approaches to develop a cancer therapy meeting several of the requirements listed above: targeted, effective, affordable.
To make the treatment targeted to cancer cells, we exploit the enhanced permeability and retention effect typical of the cancer microenvironment that results in a natural accumulation of nanoparticles of sizes ranging from 10-500 nm at the site of cancer. These nanoparticles carry on their surface specific ligands binding to receptors overexpressed on the surface of cancer cells. Once internalized by the cancer cells, the nanoparticles deliver their cargo, which is an agent able to trigger the destruction of the cancer cells. To improve on specificity, our aim is to use cargo able to distinguish cancer cells from healthy ones and act only there, leaving healthy cells in which the nanoparticles might accidentally enter unaffected. To make the treatment effective, we aim to evoke the patient’s own immune system, by employing nanoparticles that can activate the immune system. To make the treatment affordable, we aim to develop novel, more cost-effective strategies to obtain the nanoparticles and to substitute the antibodies generally used to target cancer cells with small peptides or protein binders such as nanobodies, monobodies or repebodies.
We have established a robust method to decorate the NPs with any ligand of choice. Actually, we achieved more than we originally set ourselves to do, because the method we eventually adopted is very modular and allows us to change the ligand in an easy way. We started analysing the tumour tissue of the mouse model we plan to use in the last phase of the project to check if the EGF receptor (EGFR) is indeed overexpressed compared to healthy tissue. This analysis was performed on a microarray dataset previously obtained from our collaborator. To our surprise, EGFR is not differently expressed in cancerous and healthy tissue. We found some other promising candidates, which need validation via immunohistochemistry on tissue slices to see if the receptors are indeed present on the surface of the mouse cancer cells.
To obtain the cargo able to distinguish cancer from healthy cells we set up a collaboration with the metabolomics group to measure metabolites in tumour and healthy tissues from the specific mouse model we plan to use in the future to find potential metabolites that differentiate cancerous from healthy tissue in this mouse model.