Active Cancer NIHR-supported project Pregnancy, Children & Inherited Conditions

Stratified Medicine Paediatrics 2

In plain English

AI plain-English summary

Children who relapse after cancer therapy often run out of treatment options because doctors lack precise tests to match them with the right drugs. StratMedPaeds2 will develop new molecular tests to identify which treatments might work for these children, building on an earlier programme that already delivered several effective tests to the NHS. The problem is that current tests can miss important treatment targets or fail to explain why a child’s cancer stopped responding to therapy. This project will address four specific issues that limit how well existing tests guide clinical decisions. If successful, the new tests will give clinicians and researchers actionable information about mechanisms of treatment failure, helping them choose more effective therapies for individual children. That could improve survival rates for children with relapsed cancer—a group that currently has very few good options. The work is applied, not fundamental science: it aims to produce tests that can be adopted directly by the NHS, not just knowledge for its own sake.

View original technical description
StratMedPaeds2 aims to develop new tests that identify treatment for children who fail therapy and experience cancer relapse. It builds on the success achieved in StratMedPaeds1, which provided a national pathway to molecularly test tumour tissue and blood in children who relapse, and feed usable information about treatment and mechanisms of treatment failure to clinicians and researchers seeking to improve survival for these children. Having delivered several effective tests to the NHS, StratMedPaeds2 will move on to address four important issues of relevance to children:

Researchers

Aditi Vedi (Principal Investigator)

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Original classification

Antenatal, Maternal and Child Health

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.