DeCure's autonomous Cancer AI scientist is researching a drug-repurposing hypothesis for gastric adenocarcinoma — screening already-approved drugs against its 44-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleGastric adenocarcinoma maps to a 44-gene Open Targets module — the target space DeCure's AI scientist screens approved drugs against.
DeCure.ai methodSignature reversal (LINCS) plus network proximity (STRING) rank already-approved drugs likely to perturb this module — the same engine that produces DeCure.ai's repurposing hypotheses.
Repurposing thesisScreening approved medicines against this disease module, then publishing the evidence for the strongest candidate. Known pharmacology and human exposure data make the first question sharper — they do not establish safety or efficacy in a new indication.
Research record
01
ResearchComing soon
Candidate research + dossier — target rationale, drug-repurposing thesis and evidence pack.proof: Published dossier + on-chain hash
02
ValidationComing soon
In-vitro biological validation at a contract research org (CRO).proof: CRO contract + in-vitro report
03
Peer review & paperComing soon
Peer-reviewed paper published open-access (preprint + journal).proof: DOI + open-access link + on-chain hash
Current lead
No approved-drug candidate for gastric adenocarcinoma is corroborated in the literature DeepSearch retrieved. Some conditions are managed with non-pharmacological care — a device, surgery or physical therapy — rather than a medicine; that may be the case here, or the literature we found may simply be too sparse yet to support a drug-repurposing angle.
Molecular view
ras homolog family member A (RHOA) — RHOA is one of the genes genetically linked to this disease in Open Targets — shown as context, not as a drug target we're pursuing: no approved-drug candidate for this disease is yet corroborated in the literature we found.
Loading structure…
helix sheet gdpdrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 5C4M · 1.3 Å · ligand GUANOSINE-5'-DIPHOSPHATE (GDP). Experimental structure, not a prediction.
Evidence
Retrieved by DeepSearch across 234,678,978 indexed works and resolved on OpenAlex — ranked by citations, including the results that did not work.
Anticancer Research · 2018 · 56 citations · open access
PD-1 and PD-L1 Up-regulation Promotes T-cell Apoptosis in Gastric Adenocarcinoma
AbstractBACKGROUND/AIM: The programmed death 1 (PD-1) receptor and its ligand (PD-L1) play pivotal roles in regulating host immune responses. However, the inhibitory effects of this pathway on the function of tumor infiltrating T lymphocytes in gastric adenocarcinoma patients are not well-defined. MATERIALS AND METHODS: We characterized the expression of PD-1 and PD-L1 in peripheral blood and tumor infiltrating cells and analyzed the association between PD-1/PD-L1 expression and disease progression in a cohort of 60 patients with Helicobacter pylori infection, including 18 with gastric adenocarcinoma, 23 with gastritis, and 19 asymptomatic controls. RESULTS: Relative to controls, the expression of PD-1 on peripheral blood and tumor infiltrating T cells increased with disease progression. In vitro, T cells induced PD-L1 expression on primary gastric adenocarcinoma epithelial cells in an IFN-γ-dependent manner, which in turn promoted T cells apoptosis. Blocking of PD-L1 reversed this effect. CONCLUSION: This study provides evidence for a new therapeutic target in gastric adenocarcinoma patients.
Journal of Surgical Oncology · 2022 · 11 citations · open access
Molecular pathogenesis and emerging targets of gastric adenocarcinoma
AbstractGastric adenocarcinoma (GC) is a devastating disease and is the third leading cause of cancer deaths worldwide. This heterogeneous disease has several different classification systems that consider histological appearance and genomic alterations. Understanding the etiology of GC, including infection, hereditary conditions, and environmental factors, is of particular importance and is discussed in this review. To improve survival in GC, we also must improve our therapeutic strategies. Here, we discuss new targets that warrant further exploration.
Disease module: DeepOracle (Open Targets). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works (targeted per-candidate search), resolved on OpenAlex.
DeCure is a research and publication project, not medical advice and not a treatment. "DeCure for X" describes a research goal, not a claim that a cure exists. Backing a cure is a contribution to fund the research — it is not an investment, and confers no yield, royalty, equity or IP ownership. Papers are published open-access by the DeCure.ai DAO.
