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).

• Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.

  PMID 41601652 · PMC12832467 · Frontiers in immunology · 2025 · 8 claims · 8 setups

  Has reproduction · 41

  PANoptosis-related genes show significant expression heterogeneity across CRC samples, with apoptosis-related genes comprising the largest proportion (87.4%)

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• Solute exchange through gap junctions lessens the adverse effects of inactivating mutations in metabolite-handling genes.

  PMID 36107487 · PMC9534548 · eLife · 2022 · 8 claims · 8 setups

  Full-text index only

  Colorectal cancer (CRC) cells are coupled by gap junctions assembled predominantly from Cx26 (GJB2)

  colorectal normal crc microarray tcga single-cell

• Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.

  PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups

  Has reproduction · 53

  Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)

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• Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

  PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 74

  540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed

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• Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.

  PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups

  Has reproduction · 71

  Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.

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• Cancer-wide in silico analyses using differentially expressed genes demonstrate the functions and clinical relevance of JAG, DLL, and NOTCH.

  PMID 39074091 · PMC11285958 · PloS one · 2024 · 7 claims · 8 setups

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  JAG, DLL, and NOTCH family gene/protein expression varies diversely across 15 cancer types relative to normal tissue, sometimes discordant between mRNA and protein levels.

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