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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Fingerprinting cancer development.
PMID 14694892 · PMC1241638 · Environmental health perspectives · 2003 · 8 claims · 6 setups
Protein microarrays can detect phosphoprotein fingerprints that identify early-stage cancer or monitor drug toxicity.
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p53 mutations occur in clinical, but not latent, human prostate carcinoma.
PMID 7737911 · PMC5920585 · Japanese journal of cancer research : Gann · 1995 · 5 claims · 4 setups
p53 point mutations occur in clinical prostate cancer but not in latent (subclinical) prostate carcinoma
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Has reproduction · 66
STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.
PMID 32323921 · PMC7178451 · Molecular systems biology · 2020 · 6 claims · 4 setups
Low STAT3 expression in primary prostate cancer is associated with up-regulated OXPHOS and ribosomal biosynthesis at the transcriptomic level.
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A big circuit model.
PMID 12940284 · PMC1316925 · Environmental health perspectives · 2003 · 8 claims · 8 setups
In early prostate carcinogenesis, apoptosis signals are primarily suppressed rather than growth rate being increased.
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Getting it right: being smarter about clinical trials.
PMID 16608383 · PMC1435786 · PLoS medicine · 2006 · 9 claims · 8 setups
Bias and confounding in observational studies can produce misleading associations that are overturned by randomized trials (e.g., HRT).
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Glycomic approach for potential biomarkers on prostate cancer: profiling of N-linked glycans in human sera and pRNS cell lines.
PMID 19126968 · PMC3827814 · Disease markers · 2008 · 8 claims · 5 setups
Glycomic profiling of N-linked glycans in serum can reveal potential biomarkers distinguishing prostate cancer patients from controls
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Has reproduction · 78
Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.
PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups
Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely
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Cancer screening: a mathematical model relating secreted blood biomarker levels to tumor sizes.
PMID 18715113 · PMC2517618 · PLoS medicine · 2008 · 8 claims · 4 setups
A linear one-compartment mathematical model can relate secreted blood tumor biomarker levels to tumor burden/size at steady state
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Rare germline mutations in the BRCA2 gene are associated with early-onset prostate cancer.
PMID 17700570 · PMC2360390 · British journal of cancer · 2007 · 8 claims · 3 setups
Germline protein-truncating BRCA2 mutations confer an elevated relative risk (~7.8-fold) of early-onset prostate cancer in Caucasian men
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Systems biology in human health and disease.
PMID 17893698 · PMC2013921 · Molecular systems biology · 2007 · 8 claims · 5 setups
High-throughput quantitative proteomics of signaling networks (e.g., HER2 overexpression) can be correlated with biological responses like proliferation and migration to better understand pathways deregulated in cancer.
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Has reproduction · 68
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.
PMID 35012625 · PMC8743438 · Genome biology · 2022 · 7 claims · 8 setups
GENEVA is a semi-automated, study-design-agnostic framework that mines large-scale public RNA-seq data to identify conditions modulating a gene of interest's expression
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Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.
PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups
Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer