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 · 53
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
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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Genomics and the prevention and control of common chronic diseases: emerging priorities for public health action.
PMID 15888216 · PMC1327699 · Preventing chronic disease · 2005 · 8 claims · 6 setups
Family history is the most consistent risk factor for almost all human diseases across the lifespan.
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Multiple K-ras mutations in hyperplasia and carcinoma in cases of human pancreatic carcinoma.
PMID 10543256 · PMC5926143 · Japanese journal of cancer research : Gann · 1999 · 7 claims · 6 setups
K-ras codon 12 mutations are present in the majority of solid-type (85%) and ductectatic-type (73%) pancreatic carcinomas.
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Correlations of EGFR mutations and increases in EGFR and HER2 copy number to gefitinib response in a retrospective analysis of lung cancer patients.
PMID 17626639 · PMC1952070 · BMC cancer · 2007 · 7 claims · 4 setups
EGFR mutations (exon 19 deletions, exon 21 L858R) did not correlate with gefitinib response in this cohort
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Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.
PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups
A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction