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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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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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics
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Proteomics and genomics: perspectives on drug and target discovery.
PMID 18302945 · PMC2386992 · Current opinion in chemical biology · 2008 · 8 claims · 8 setups
Protein kinases account for approximately 25% of research and development projects in biotechnology and pharma
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Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer.
PMID 18676839 · PMC2597340 · Cancer research · 2008 · 8 claims · 7 setups
MicroRNA processing components (Dicer, DGCR8) and microRNA host genes (MCM7, C9orf5) are significantly up-regulated in prostate tumors versus non-tumor tissue
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Has reproduction
Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.
PMID 34382341 · PMC8446556 · Cancer medicine · 2021 · 7 claims · 6 setups
A 10 immune-related gene signature (BMPR1B, GHR, IL11RA, INHBB, NPR3, OBP2A, PTN, R3HDML, TAC1, TPM2) was constructed via WGCNA combined with LASSO-Cox and predicts overall survival in gastric cancer
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Has reproduction · 71
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
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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Proteomic profiling in ovarian cancer.
PMID 19955909 · PMC7319026 · International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2009 · 8 claims · 6 setups
No validated or cost-efficient screening program exists for ovarian cancer; physical exam, CA125, and transvaginal ultrasound lack sufficient sensitivity/specificity for early-stage detection.
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A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.
PMID 19861443 · PMC2783430 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2009 · 8 claims · 8 setups
A genomic signature derived from CLL patient leukemic cells significantly differentiates stable from progressive disease
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93rd Annual Meeting of the American Association for Cancer Research, San Francisco, CA, USA, 6-10 April 2002.
PMID 12100742 · PMC138737 · Breast cancer research : BCR · 2002 · 8 claims · 8 setups
Serial analysis of gene expression identifies genes preferentially expressed in ductal carcinoma in situ
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Has reproduction · 40
Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.
PMID 39100839 · PMC11291408 · Translational andrology and urology · 2024 · 8 claims · 8 setups
An integrative machine learning procedure (10 methods, 101 algorithm combinations) identified an Enet (alpha=0.2)-based intratumor heterogeneity-related signature (IRS) with the highest average C-index (0.69) across TCGA and GEO cohorts
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Has reproduction · 58
Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.
PMID 38529307 · PMC10962337 · PeerJ · 2024 · 8 claims · 8 setups
PPARA, PPARD and PPARG are more abnormally expressed in STAD samples and cell lines compared to most of 32 cancer types in TCGA
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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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Molecular tumor profiling: translating genomic insights into clinical advances.
PMID 15287965 · PMC507868 · Genome biology · 2004 · 8 claims · 8 setups
Gene-expression profiling can distinguish BRCA1- and BRCA2-linked breast tumors from sporadic breast tumors with similar hormone-receptor status
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Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity
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Statistical challenges in preprocessing in microarray experiments in cancer.
PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups
Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes
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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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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
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Application of serum SELDI proteomic patterns in diagnosis of lung cancer.
PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups
A five-protein-peak SELDI decision-tree pattern (11493, 6429, 8245, 5335, 2538 Da) distinguishes lung cancer sera from healthy control sera with relatively high sensitivity and specificity