Secrecy and intellectual property block collaboration
Companies with complementary drugs rarely test them together, and data that could answer questions stays locked up.
Many of the most promising combinations in oncology pair agents owned by different companies, and the negotiation over supply, data rights, liability and eventual pricing is slow enough that most such combinations are never tested; where they are, it is usually because one party has a checkpoint inhibitor to defend. Individual patient data from completed trials, the raw material for meta-analysis, biomarker discovery and honest re-analysis, are shared rarely and slowly despite journal and funder policies: in one audit, data could actually be obtained for about 1% of trials with sharing statements. Academic competition adds its own secrecy, delaying publication of negative and confirmatory results. Pre-competitive consortia, trusted data-sharing platforms, standardised combination agreements and public sponsors of cross-company trials are the working models; they cover a small fraction of the field.
- Cross-company combination trials require negotiation of supply, data ownership, liability and future pricing between competitors.
- Individual patient data are treated as proprietary assets and shared only under restrictive agreements.
- Journal and funder data-sharing policies are rarely enforced.
- Academic credit depends on priority and exclusivity of data.
- Antitrust and confidentiality concerns discourage pre-competitive discussion of pipelines.
- Project Data Sphere, Vivli and the YODA Project host de-identified trial data from many sponsors for secondary research.
- Cancer Research UK's Combinations Alliance and NCI's Cancer Therapy Evaluation Program broker cross-company combination trials under standard agreements.
- Cooperative groups and academic consortia (EORTC, BIG, GBG, ECOG-ACRIN) sponsor trials combining agents from different companies, as in many neoadjuvant breast cancer platform trials.
- The ICMJE requirement for data-sharing statements (2018) and the EU Clinical Trials Regulation increase disclosure of trial data.
- The Structural Genomics Consortium and Open Targets run open, pre-competitive target validation with industry partners.
- AACR Project GENIE demonstrates institution-level sharing of clinical-grade genomic data for common use.
Every biobank negotiates its own legal agreement for sharing tissue, which takes months. A shared standard template, like Creative Commons for samples, would let tissue and data move in days.
Blood and tissue samples collected in cancer trials are the best material for validating new tests, but most sit unused under contracts that make access impossible. A commons would make them available for approved research.
Hospitals could train shared AI models on all their patients' scans and records without any data leaving the building, and jointly own the results, if someone built and governed the network.
Every failed cancer drug, experiment and trial gets recorded in one open ledger, so nobody repeats a failure that has already cost years and millions.
If a company refuses to supply its approved drug for a well-designed independent trial combining it with a rival's drug, the law would let the trial buy it at manufacturing cost, with results shared back.
Radiotherapy may make immunotherapy work better, but the trials to test this are scattered and often small. One shared platform, run by radiotherapy groups with drugs supplied by several companies, would settle it faster.
Companies fear that testing a combination will hand a competitor a patent. A shared pool where combination patents are cross-licensed by default would remove the fear.
Trials that test many companies' drugs side by side against one shared control work best when nobody's company runs them. A standing non-profit sponsor would make this the norm rather than a rare exception.
Companies, hospitals and funders pool effort to train one very large AI on scans, slides, genomes and outcomes from millions of patients, kept at their hospitals, and share the resulting model.
Companies and public funders would jointly pay for standardised experiments that confirm or refute new cancer targets, sharing all results openly, so nobody wastes years on a target that does not hold up.
No single company will spend a decade on a target that might be impossible. A shared, openly published effort across the twenty hardest targets spreads that risk.
Thousands of promising cancer compounds sit unused in university freezers and company archives. A public catalogue of what exists, what is known and who to ask would let others pick them up.
A government or charity holds stocks of experimental cancer drugs under standing agreements, so academic doctors can test combinations without negotiating with each company separately.
Most of the delay in testing two companies' drugs together is lawyers negotiating from scratch. A single standard agreement, blessed by regulators, would let them sign in weeks.
Companies hold thousands of well-characterised drugs that could help rare cancers, but each request takes a year of legal negotiation. One standing agreement would unblock it.
Thousands of patients have received standard treatment in the control arms of past trials. Pooling their anonymised data would let new trials borrow from them and randomise fewer patients to old treatments.
Every cancer trial's anonymised patient-level data would go into one trusted repository within eighteen months of completion, with a single access committee, so researchers can re-analyse, pool and learn from trials that today stay locked up.
Companies with drugs that might work together rarely test them because the legal negotiation takes longer than the trial. A pre-written standard contract would fix that.
Getting a cell line, mouse model or antibody from another lab can take six months of paperwork. Funders would require a standard agreement that goes through automatically unless someone objects within thirty days.
Companies say competition law stops them coordinating on combination trials and sharing failure data. A clear legal safe harbour for defined pro-patient collaborations would remove that excuse.
Companies would put their cancer drugs into a shared licensing pool so that any qualified investigator can test combinations of drugs from different owners under one standard agreement, with royalties split by a fixed formula.
Cancer's most important drivers, such as MYC and mutant p53, cannot be blocked with normal drugs. Pool effort and share results openly to build molecules that destroy them instead.
Academic labs find new tumour targets but cannot turn an antibody into an antibody-drug conjugate or a bispecific without licensed linker and payload technology. A shared platform would provide that at no cost for first trials.
Companies and public funders would pool money and scientists to crack the hardest cancer proteins, such as MYC and mutant p53, sharing everything openly until there is a real drug candidate, then competing on the final product.
When a company stops developing a cancer drug for business reasons, the rights and data would automatically be offered to charities and universities on set terms after two years, so promising compounds do not disappear.
Three companies testing three drugs against the same standard treatment each recruit their own control group. Pooling those controls in one shared study would need fewer patients and answer faster.
Journals and funders already ask trialists to share patient-level data; almost nobody checks. Make it a checked condition with real consequences.
Require that approved cancer drugs come with a standard set of data (blood levels, drug interactions, toxicity profile) so anyone can design a safe combination trial without asking the company.
Pay scientists a small bonus, added to their grant, when they post their results and data openly within six months of finishing an experiment, whether the result was positive or not.
Companies extend monopolies on cancer drugs with dozens of minor patents and deals that pay generic makers to stay out. Closing these loopholes would bring cheaper versions years earlier.
For cancers too rare or too poor to attract companies, run drug discovery in the open, the way neglected tropical diseases are tackled, and take candidates to first human trials with public money.
Patients would carry a digital consent that says how their trial samples and records may be reused, so their contribution is not locked to one company or study and they decide who benefits from it.
Scientists hide results for fear of being beaten to publication. If journals and funders guaranteed that a preprinted finding cannot be scooped, and encouraged rival groups to publish side by side, sharing would become safe.
Some drugs work by sticking two proteins together so one destroys the other. These are usually found by luck. A large systematic search, published openly, would find many more.
When universities license cancer discoveries to companies, the contract would reward companies that price fairly and sell in poor countries, and penalise those that do not, using the royalty rate as the lever.
Pages like this
not linked directly; found by shared links- BottleneckToo many combinations to test
Shares A patent pool for combination method-of-use claims, A regulator-endorsed standard contract for inter-company combination trials, A legal right to obtain marketed cancer drugs at cost for combination trials, Every approved cancer drug ships with a public combination-readiness data pack.
- BottleneckData silos
Shares A common consent and material transfer template for tumour biobanks, Enforce individual participant data sharing as a condition of publication and funding, Patient-held portable consent for reusing samples and data across studies, Cancer Commons.
- BottleneckPreclinical results do not reproduce
Shares A global ledger of negative results and failed compounds with mandatory deposition, Enforce individual participant data sharing as a condition of publication and funding, Scoop protection and co-publication norms to reduce academic secrecy, A universal material transfer agreement with a thirty-day default.
- IdeaPromote academics for trials completed, data shared and findings replicated
Shares Scoop protection and co-publication norms to reduce academic secrecy, Funder bonuses for releasing results and data within six months, negatives included, A universal material transfer agreement with a thirty-day default.
- BottleneckThe valley of death between lab and product
Shares A public registry of stalled academic assets and shelved company compounds, A shared compound library that rare cancer researchers can actually use, An open engineering platform for academic ADCs and bispecifics, Automatic offer of shelved cancer assets to non-profits after two years.
- BottleneckFailures are hidden
Shares A global ledger of negative results and failed compounds with mandatory deposition, A public registry of stalled academic assets and shelved company compounds, Funder bonuses for releasing results and data within six months, negatives included, A single oncology trial data trust with mandatory deposit within eighteen months.
- IdeaAn annual map of high-burden questions that nobody is funding
Shares Open Targets Platform, PubMed & Europe PMC, ClinicalTrials.gov.
- CollectionDrugBank & ChEMBL
Shares Every approved cancer drug ships with a public combination-readiness data pack, A shared compound library that rare cancer researchers can actually use.