Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Histone methyl-transferase G9a inhibition boosts the efficacy of immune checkpoint inhibitors in experimental hepatocellular carcinoma.
PMID 41923620 · PMC13130624 · Cell reports. Medicine · 2026 · 7 claims · 8 setups
G9a expression inversely correlates with gene signatures predictive of favorable ICI response across multiple HCC patient cohorts
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Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.
PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups
MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework
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Dissecting the immunosuppressive microenvironment of LAMA3 + malignant cells and SPP1 + macrophages in esophageal squamous cell carcinoma using single-cell and spatial transcriptomics.
PMID 41845425 · PMC13104401 · Journal of translational medicine · 2026 · 8 claims · 8 setups
A LAMA3+ epithelial subpopulation (C3) enriched at the invasive tumor front shows strong EMT signatures and is associated with poor prognosis
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Engineering NK and T cells with metabolite-sensing receptors to target solid tumors.
PMID 41872506 · PMC13132725 · Nature immunology · 2026 · 8 claims · 8 setups
GPR183, GPR84, GPR34 and GPR18 were identified as top enhancers of NK cell tumor infiltration and chemotaxis to breast and ovarian cancer via CRISPRa screens
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Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.
PMID 42047819 · PMC13125642 · Cancer immunology, immunotherapy : CII · 2026 · 7 claims · 8 setups
A novel ecDNA-related Gene Prognostic Score Model (EGPSM) was constructed using an integrated framework of 101 machine learning algorithm combinations and validated in training, testing, and external cohorts.