OnCo
ideasIdea

Watch routine care for drug combinations that quietly make cancer treatment worse

Some everyday medicines, such as antibiotics or steroids, seem to blunt immunotherapy. Automatically scanning health records for such harmful pairs would catch them years earlier.

Antibiotics, proton-pump inhibitors and corticosteroids are associated with worse outcomes on checkpoint inhibitors in retrospective series, yet these signals took years to surface. A pharmacovigilance-style system that continuously screens clinico-genomic databases for concomitant medications associated with reduced efficacy (not just toxicity) would generate hypotheses for confirmation and, where confirmed, guideline warnings.

Hypothesis
Systematic surveillance will identify at least three previously unrecognised efficacy-reducing co-medications for immunotherapy or targeted therapy within two years, at least one of which is confirmed in a randomised or well-controlled study.
Rationale
Adverse-event pharmacovigilance is mature; efficacy pharmacovigilance is not, even though negative interactions on survival matter more than most side-effects.
What would test it
Run signal detection across a large clinico-genomic database for patients on PD-1 inhibitors; validate top signals in an independent registry; publish a ranked list.
Maturity
early clinical
Who has to act
data
Cost to try
Small (under $1M)
Years to first evidence
2
Bottlenecks it attacks

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