A new suite of high-tech facilities in Cambridge will measure molecules in human blood and tissue, and image them inside the body, to sort patients into more precise disease subgroups. This matters because many common diseases—cancer, diabetes, heart conditions—are currently treated as if every patient with the same diagnosis is biologically identical. In reality, different genetic and molecular pathways can produce the same clinical symptoms, meaning a treatment that works for one patient may fail for another. The new infrastructure aims to close that gap by making molecular stratification routine. If successful, the facilities could transform how clinical trials are designed and how treatments are prescribed. Instead of giving a drug to a broad group of patients and hoping it works on average, doctors could identify which individuals are most likely to respond before treatment begins. The imaging centre also supports dynamic nuclear polarisation, a technique that could eventually allow molecular imaging by MRI without exposing patients to radioactivity. The computing hub will link research data to patient records and share it with scientists across the UK, quietly upgrading the diagnostic infrastructure that underpins modern medicine.
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We aim to build scientific and computing infrastructure in the School of Clinical Medicine at the University of Cambridge that will allow us i) to develop new technologies for measuring and imaging molecules in humans, and ii) to apply these technologies directly and immediately to major research programmes for understanding and treatment of cancer, metabolic disorders, and many other therapeutic areas. Our strategic vision is that many diseases, that are traditionally diagnosed and treated as if all patients with the same diagnosis were largely the same, will become increasingly stratified. We expect that advances in biomedical science will demonstrate that there are in fact many different genetic and molecular pathways to the same clinical diagnosis. This has potentially important implications for more precise targeting of treatment: more refined diagnostic stratification of patients could identify more exactly which patients were most likely to respond to specific treatments. To realise this vision, we propose to create three new high-tech facilities for clinical research in Cambridge; a Stratified Medicine Core Laboratory (SMCL), a Molecular Imaging Centre (MIC), and a High Performance Hub for Informatics (HPHI). The SMCL will allow us to measure a large number of peptides and other molecules in blood or other tissue samples with enhanced accuracy and sensitivity. The SMCL will also provide new facilities for next generation sequencing of DNA so that genetic variants driving disease can be identified in individual patients with sufficient precision and reliability to optimize diagnostic stratification and to inform clinical management immediately. The MIC will allow us to measure molecules by imaging of patients, rather than by lab analysis of tissue samples. The MIC will comprise a new whole body scanner that can simultaneously collect MRI and PET data, as well as new facilities for manufacturing and administering labeled molecules as imaging probes to patients. The new radiochemistry facilities in the MIC will allow us to produce a much larger range and volume of radioactively labeled molecules that can be detected by PET imaging. The MIC will also support the technological development of dynamic nuclear polarization (DNP). This is a radically innovative method of molecular imaging which could potentially allow us to detect labeled molecules by MRI and without exposing patients to the risks of radioactivity. We will also upgrade one of our existing MRI scanners and locate it closer to the main focus of experimental medicine research in Cambridge. The HPHI will provide the computational resources required to store and analyse the very large volumes of data produced by the SMCL and the MIC. It is also crucially important that the results of clinically actionable molecular analysis and imaging can be linked to individual patient records. This is key to "pulling through" the benefits of new technology to deliver stratified medicine in clinical practice. It is also important that the "big data" generated by the SMCL and MIC can be shared with the wider scientific community including our research partners elsewhere in the UK. We therefore propose to invest in new facilities for data storage, computational analysis, secure and ethically approved linkage of research data to clinical records, and data sharing. This computational hub will be managed as part of the University of Cambridge's new high performance computing facility. These infrastructural investments have been planned to create an integrated platform for molecular and genetic stratification of human disease. They will enhance the impact of internationally leading research groups already established in Cambridge and they are coordinated with major infrastructural programmes already funded by the University or other agencies. They will underpin a step change in our capacity to harness the potential of new technologies to deliver our strategic vision.
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