Suchergebnisse

Integrating personalised medicine into Europe's healthcare systems will undoubtedly need to draw upon diverse talents via a multi-stakeholder approach taking expertise from academia, industry, healthcare organisations, government, policymakers and, of course, patient groups. It will also need a long-term budget commitment geared towards stimulating research and innovation in order to succeed. The role of HTA also needs to be boosted, while EU engagement in health needs to increase, not decrease, and requires a long-term strategy to provide a structure, a framework, and a consensus. Health equals wealth and the authors argue here that investment in research and innovation, alongside laws and rules that are fit-for-purpose and reflect the swiftly changing world of medicine, are vital. Europe needs to grasp these points at every level for the benefit of the millions of potential patients spread across the soon-to-be 27 Member States.

Cancer clinical trials and, in general, cancer clinical research by definition need a multi-modality approach. It is not enough to discover and register new drugs. To get cancer under control requires us to perform complex clinical studies that integrate drugs, companion diagnostics, new or improved surgical procedures and new radiotherapy approaches as well as, most importantly, to integrate all available information. This includes biological material and, of increasing importance, large amounts of data using big data technologies. To personalise treatment, genetic data are more and more frequently used. Therefore, the general approach is holistic. Legislators, on the other hand, work in a silo mentality; the needs of clinical research are poorly understood, and legislation focuses on either health care or the commercialisation of a product, and not on clinical research. In the last 2 years the EU has drafted several major regulations touching on clinical trials, in vitro diagnostics, medical devices and data protection, all of which will impact clinical research, although the silo mentality makes the overall framework inconsistent and potentially highly damaging to the EU's capacity to make rapid progress in the field of personalised medicine.

The challenges faced in developing value-based diagnostics has resulted in few of these tests reaching the clinic, leaving many treatment modalities without matching diagnostics to select patients for particular therapies. Many patients receive therapies from which they are unlikely to benefit, resulting in worse outcomes and wasted health care resources. The paucity of value-based diagnostics is a result of the scientific challenges in developing predictive markers, specifically: (1) complex biology, (2) a limited research infrastructure supporting diagnostic development, and (3) the lack of incentives for diagnostic developers to invest the necessary resources. Better access to biospecimens can address some of these challenges. Methodologies developed to evaluate biomarkers from biospecimens archived from patients enrolled in randomized clinical trials offer the greatest opportunity to develop and validate high-value molecular diagnostics. An alternative opportunity is to access high-quality biospecimens collected from large public and private longitudinal observational cohorts such as the UK Biobank, the US Million Veteran Program, the UK 100,000 Genomes Project, or the French E3N cohort. Value-based diagnostics can be developed to work in a range of samples including blood, serum, plasma, urine, and tumour tissue, and better access to these high-quality biospecimens with clinical data can facilitate biomarker research.