OnCo
ideasIdea

Linked prescribing and outcome data to find drug interactions with cancer therapy

Use joined-up pharmacy and hospital records to spot when a common everyday medicine makes a cancer drug work worse or cause more harm.

Interactions between anticancer agents and common co-medications (proton pump inhibitors with some kinase inhibitors and capecitabine; antibiotics and steroids with immunotherapy) have emerged from retrospective analyses years after approval. The proposal is a standing surveillance system using linked prescribing and outcome data that screens all new oncology drugs against the 200 most common co-medications, with signals triaged to confirmatory analysis or trials.

Hypothesis
Systematic screening will detect clinically relevant interactions for new drugs within 18 months of approval, compared with a historical median of several years.
Rationale
The PPI and capecitabine signal and the antibiotic and immunotherapy signal were both found in retrospective trial and registry analyses; a systematic screen would have found them sooner.
What would test it
Run the screen on five drugs approved three or more years ago; check whether it rediscovers known interactions and how many new signals it produces; validate the top signals in independent data.
Maturity
early clinical
Who has to act
data
Cost to try
Small (under $1M)
Years to first evidence
2
Bottlenecks it attacks

Connected

4top