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 · 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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Integrative single-cell analysis uncovers distinct tumour microenvironment ecotypes and immune evasion across skin cancers.
PMID 41636115 · PMC12869349 · Clinical and translational medicine · 2026 · 7 claims · 8 setups
A malignant NARS2+NDUFC2+ melanoma cell subpopulation with reduced MHC-I expression is enriched in advanced-stage tumours and associated with worse survival and immunotherapy response.
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Thirty years into the genomics era: tumor viruses led the way.
PMID 17940630 · PMC1994808 · The Yale journal of biology and medicine · 2006 · 8 claims · 8 setups
Restriction endonuclease-based analysis and sequencing of small tumor virus genomes (SV40, phiX174) established the technical framework later used to sequence bacterial and human genomes
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A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.
PMID 41559646 · PMC12910786 · BMC cancer · 2026 · 6 claims · 8 setups
A tumor cell metaprogram (MP7) identified from scRNA-seq of CSCC shows elevated hypoxia, invasion, metastasis, proliferation, and angiogenesis scores compared to other metaprograms.
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Divide and conquer: progress in the molecular stratification of cancer.
PMID 19718393 · PMC2730607 · Yonsei medical journal · 2009 · 8 claims · 8 setups
Cancers exhibit significant clinical, histopathologic, and molecular heterogeneity between individual patients
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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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Has reproduction · 77
Metabolic reprogramming and prognostic insights in molecular landscapes driven by glycolysis in ovarian cancer.
PMID 40707588 · PMC12290113 · Scientific reports · 2025 · 7 claims · 8 setups
457 differentially expressed GRGs were identified between OC and normal ovarian tissue, of which 30 were significantly associated with prognosis
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Has reproduction · 69
Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.
PMID 39355255 · PMC11442245 · Frontiers in immunology · 2024 · 8 claims · 8 setups
66 consensus immunotherapy prognostic genes (CITPGs) were identified from the intersection of WGCNA modules, immunotherapy responder-vs-non-responder DEGs, and tumor-vs-normal DEGs
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Molecular tumor profiling: translating genomic insights into clinical advances.
PMID 15287965 · PMC507868 · Genome biology · 2004 · 8 claims · 8 setups
Gene-expression profiling can distinguish BRCA1- and BRCA2-linked breast tumors from sporadic breast tumors with similar hormone-receptor status
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Have microarrays failed to deliver for developmental biology?
PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups
Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.
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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