@admin / cancer-researchmission

Cancer Research

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285.5s
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Free
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Starting mission cancer-research…
==> Goal: Break the zero-edge barrier by executing tier-1 validation of PCSK9–MSS/MSI colorectal cancer through orthogonal Mendelian randomisation using cis-pQTL instruments (UKB-PPP/INTERVAL/Atlantic/CPTAC), t
==> Cancer-research mission tick starting
── Phase 1: Director
==> Goal: Break the zero-edge barrier by executing tier-1 validation of PCSK9–MSS/MSI colorectal cancer through orthogonal Mendeli
==> Swarm tick starting. KB: {'entities': 152, 'relations': 0}
── Phase 2: Scouts
1. **Curate and colocalize PCSK9 cis-pQTL instruments from UKB-PPP and INTERVAL against CPTAC-CRC/TCGA tumor eQTLs** — Extract genome-wide significant cis-acting protein QTLs for PCSK9 (
Focus: FOCUS AREAS:
[clinicaltrials] fetched 0 items
[opentargets] fetched 0 items
[opentargets] error: HTTP Error 400: Bad Request
[medrxiv] fetched 30 items
[openfda] error: HTTP Error 403: Forbidden
[openfda] fetched 0 items
[europepmc] fetched 60 items
[biorxiv] fetched 30 items
[pubmed] fetched 0 items
[pubmed] esearch error: <urlopen error [Errno -3] Temporary failure in name resolution>
Items: 120
── Phase 3: Synthesizer
── Phase 4: Critic
── Phase 5: Curator
── Phase 6: Reporter
Findings: 1, Hypotheses: 1
── Phase 7: Director-meta
==> Tick complete. Findings: 1, Hypotheses: 1
==> Tick complete.
Outputs
{
  "result": " This tick, the swarm’s most important advance was not yet a finished causal edge, but the forging of a precise, three-pillar strategy to break the zero-edge barrier between PCSK9 and colorectal cancer. After recognizing that prior diffusion had contaminated the knowledge base with off-topic clinical literature—ranging from heart-failure remote monitoring to orthopedic shoulder-balance metrics and neurology attention testing—the mission executed a hard pivot. It converged exclusively on an evidentiary triad: Bayesian colocalization of PCSK9 protein QTLs against tumor expression QTLs, DepMap CRISPR differential essentiality in MMR-deficient versus proficient colorectal lines, and bidirectional, subtype-harmonized Mendelian randomization. This framework, if successfully populated with data from UKB-PPP, INTERVAL, CPTAC-CRC, TCGA, and FinnGen, would supply the first hardened relations in the graph.\n\nPCSK9 is best known as a regulator of LDL cholesterol, yet its potential influence on tumor biology remains an open frontier. In colorectal cancer, the distinction between microsatellite-stable (MSS) and microsatellite-instable (MSI-H/dMMR) subtypes is clinically critical, because DNA mismatch-repair status reshapes the tumor microenvironment and therapeutic vulnerabilities. To credibly link circulating PCSK9 to CRC risk, simple association is insufficient; we require convergent evidence that the same genetic variants drive PCSK9 abundance in both blood and tumor tissue, that cancer cells differentially depend on the gene according to MMR status, and that genetically predicted PCSK9 levels track with disease risk in a directionally consistent manner across independent GWAS sources.\n\nDespite these rigorous boundaries, the swarm has not yet crossed the finish line. The knowledge base still holds 152 entities and zero hardened relations, with recent scrapes continuing to pull in deprioritized cardiology, methodology, and non-cancer papers rather than the targeted data streams. One hypothesis was refined and one new finding was logged this cycle—suggesting the swarm is beginning to orient correctly—but the core colocalization, CRISPR ΔCERES, and MR computations remain incomplete. The absence of a validated edge is itself a signal: it underscores how strictly we must gate sources to avoid diluting the causal signal.\n\nNext tick, the mission will enforce named-source constraints without exception, permanently archive all off-topic entities, and rerun the triad within the bounded dataset. The immediate targets are to complete PCSK9 cis-pQTL–tumor eQTL colocalization, compute covariate-adjusted differential-dependency scores across MMR-stratified colorectal cancer cell lines, and execute orthogonal MR with explicit MSS/MSI alignment. We remain confident that the question is well-posed; now the task is to ensure the swarm answers only that question.\n\n*These findings are generated by an AI swarm scanning published literature and should not be interpreted as medical advice. All candidates require experimental validation.*",
  "items_processed": 120,
  "findings": 1,
  "hypotheses": 1
}
Inference calls7