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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The current state of proteomics in GI oncology.
PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups
More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology
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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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Beta-catenin nuclear labeling is a common feature of sessile serrated adenomas and correlates with early neoplastic progression after BRAF activation.
PMID 19745699 · PMC2788075 · The American journal of surgical pathology · 2009 · 8 claims · 3 setups
Abnormal nuclear β-catenin labeling is common in SSAs but essentially absent in hyperplastic polyps (HPs)
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Heterogeneity of p53 mutational status in intramucosal carcinoma of the colorectum.
PMID 11223545 · PMC5926696 · Japanese journal of cancer research : Gann · 2001 · 7 claims · 4 setups
p53 gene mutations occur and diverge at the intramucosal carcinoma stage, before submucosal invasion
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Mutational analyses of multiple target genes in histologically heterogeneous gastric cancer with microsatellite instability.
PMID 10081489 · PMC5921733 · Japanese journal of cancer research : Gann · 1998 · 7 claims · 5 setups
MSI frequency in gastric cancers with histological heterogeneity was 35% (7/20 cases) and 28% (11/40 tumor DNAs), consistent with prior gastric cancer MSI studies.
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Re-evaluating early breast neoplasia.
PMID 18279539 · PMC2374963 · Breast cancer research : BCR · 2008 · 8 claims · 7 setups
The classic single linear model of breast cancer progression requires revision based on high-throughput molecular genetic and gene expression data.