Infrastructure for Precision Medicine in Oncology – PREMIO

Research Infrastructure for Precision Medicine in Oncology – PREMIO

Infrastructure for Precision Medicine in Oncology – PREMIO


Objective

To establish an infrastructure supporting a research pathway entirely dedicated to Personalized and Precision Medicine, aiming to position itself at the forefront of international research. This infrastructure will be sustained through the development of a network of regional biobanks strategically covering the entire regional territory, ensuring the optimal collection of biological samples (tissues and biological fluids) from oncological and non-oncological patients associated with various healthcare facilities in the region.

The Project

The “PREMIO” Project – “Infrastructure for Precision Medicine in Oncology”, CUP B61C17000080007 – SURF 17063BP000000003, is a project approved under the Public Call for Expressions of Interest for the Development/Strengthening of Strategic Regional Research Infrastructures for the Fight Against Oncological Diseases issued by the Campania Region (D.D. DG 50 10 N. 355 dated 05/06/2017 and subsequent amendments) as part of the Campania Region POR FESR 2014-2020 – Axis 1 – O.S. 1.1 and 1.5, Actions 1.1.2 and 1.5.1.

The project is co-funded by the European Union, the Italian Government, and the Campania Region under the Campania Region POR FESR 2014-2020.
More information

INTERVENTION LINE: B – Regional Research Infrastructure for Diagnostics for Translational Health

RESEARCH AREAS:

  • Biobank
  • Analytics for predictive and preventive medicine
  • Big and complex biodata analysis

PRIORITY TECHNOLOGICAL TRAJECTORIES:

  • Development of biomarkers with innovative technologies and related clinical applications, including through the establishment of biobanks
  • ICT applications and technologies supporting clinical research and data management
  • ICT applications and technologies supporting diagnostics and disease prevention

Partnership

The project was implemented in partnership with:

University Departments and Research Centers

  • University of Naples “Federico II” - Department of Pharmacy
  • University of Salerno - Department of Pharmacy

Research Centers and Institutes

  • CNR – Institute of Biostructures and Bioimages (IBB)
  • CNR – Institute for High-Performance Computing and Networking (ICAR)
  • CNR – Institute of Genetics and Biophysics (IGB)
  • National Cancer Institute of Naples “Fondazione G. Pascale”
  • Southern Italy Experimental Zooprophylactic Institute

Companies

  • Pineta Grande S.p.A.
  • eHealthNet Scarl

Project Description

The Infrastructure for Precision Medicine in Oncology – PREMIO aims to create an infrastructure supporting a research pathway fully dedicated to Personalized and Precision Medicine, positioning itself at the cutting edge of international research. The infrastructure features a network of regional biobanks strategically covering the entire territory, enabling the optimal collection of biological samples (tissues and biological fluids) from oncological and non-oncological patients linked to the region's healthcare facilities. The development of innovative Artificial Intelligence algorithms facilitates the identification of multivariate predictive models for diagnosing, treating, and preventing oncological diseases.

The innovative services proposed by the infrastructure include:

  • Provision of high-quality biological samples by appropriately standardizing the entire process of collection, cryopreservation, and transfer within the network.
  • Preparation of tissue samples (prepared slides) for in situ analyses (IHC, ISH, CISH, FISH) or conducting such analyses on sample types selected by the requester. Digital images confirming the histo-morphological characteristics of the samples and the results of in situ analyses can also be shared.
  • Genetic and molecular characterization of biological samples from both oncological patients (to define prognostic and predictive biomarkers) and at-risk or healthy subjects from areas with high environmental impact (to identify susceptibility markers).
  • Proteomic/metabolomic characterization of biological samples to identify potential proteomic/metabolomic alterations in tumor cells and consequently new biomarkers for early diagnosis using biological fluids (blood, urine, saliva, etc.).
  • Development of cellular models, particularly hepatocytes derived from neoplastic samples, for evaluating new compounds intended for clinical development.
  • Development and standardization of diagnostic kits based on molecular biology.
  • Creation of personalized statistics and datasets, including geolocation-based information and Artificial Intelligence algorithms, shared with the national BBMRI node.

Social