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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Urinary proteomic profiling for diagnostic bladder cancer biomarkers.
PMID 19811072 · PMC3422861 · Expert review of proteomics · 2009 · 8 claims · 8 setups
Single protein biomarkers (e.g., NMP-22, BTA) suffer from high false-positive rates and none have replaced cystoscopy or cytology for bladder cancer detection.
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Infrequent somatic mutation of the MTS1 gene in primary bladder carcinomas.
PMID 7744694 · PMC5920817 · Japanese journal of cancer research : Gann · 1995 · 5 claims · 3 setups
MTS1/CDK4I is a candidate tumor suppressor gene located on chromosome 9p21
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Has reproduction · 66
Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression.
PMID 33722289 · PMC7962346 · Genome biology · 2021 · 6 claims · 7 setups
A PE2-mediated single-base (C>G) substitution in the Tspan2 CArG box causes cell-specific loss of Tspan2 mRNA in aorta and bladder but not heart or brain, mirroring HDR-mediated 3-bp substitution.
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Has reproduction · 78
Identification of succinylation-related genes in bladder cancer: integration of single-cell and transcriptomic data.
PMID 42220482 · PMC13218921 · Frontiers in immunology · 2026 · 8 claims · 8 setups
KCTD16, CD3D and GSDMB are succinylation-related prognostic genes in BLCA
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p53 mutations in urinary bladder cancer.
PMID 11384101 · PMC2363660 · British journal of cancer · 2001 · 6 claims · 5 setups
p53 mutations are strongly associated with high-grade/high-stage bladder tumors and are nearly absent in lowly malignant tumors (Ta, G1-G2a)
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Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.