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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Has reproduction · 95
Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.
PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups
Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature
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Full-text index only
Construction of a SEMA3 family-based model to predict prognosis and molecular subtypes in pancreatic ductal adenocarcinoma.
PMID 41792569 · PMC13079247 · Discover oncology · 2026 · 8 claims · 8 setups
SEMA3 family expression defines two molecular subtypes (A and B) of PDAC with significantly different overall survival
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Has reproduction · 67
Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.
PMID 38435998 · PMC10909353 · PeerJ · 2024 · 8 claims · 8 setups
TNBC can be classified into three molecular subtypes (clusters 1, 2, 3) based on cellular senescence-related pathway scores
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Has reproduction · 50
Heterogeneity of cancer-associated fibroblasts in head and neck squamous cell carcinoma.
PMID 37320872 · PMC10277597 · Translational oncology · 2023 · 8 claims · 9 setups
Seven distinct CAF subsets exist in HNSCC, identified via integration of scRNA-seq, bulk transcriptomic, and spatial transcriptomic data.
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Full-text index only
A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.
PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups
CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts