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).

• Molecular tumor profiling: translating genomic insights into clinical advances.

  PMID 15287965 · PMC507868 · Genome biology · 2004 · 8 claims · 8 setups

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  Gene-expression profiling can distinguish BRCA1- and BRCA2-linked breast tumors from sporadic breast tumors with similar hormone-receptor status

  breast ovarian panel tumor gene-expression candidate-gene large-scale

• Genomic and mutational profiling to assess clonal relationships between multiple non-small cell lung cancers.

  PMID 19671847 · PMC2892178 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2009 · 8 claims · 5 setups

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  Genomic profiling by aCGH can distinguish clonal tumors from independent primaries with high confidence by identifying matching versus non-matching regions of allelic gain/loss.

  fresh-frozen same banked resected array mutational pcr

• Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.

  PMID 41048340 · PMC12491262 · Frontiers in bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 71

  LUAD samples cluster into IRG-high and IRG-low groups, with the IRG-high group showing significantly better survival and greater immune cell infiltration.

  luad geo degs immunotherapy-treated bulk weighted ppi

• Fingerprinting cancer development.

  PMID 14694892 · PMC1241638 · Environmental health perspectives · 2003 · 8 claims · 6 setups

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  Protein microarrays can detect phosphoprotein fingerprints that identify early-stage cancer or monitor drug toxicity.

  prostate blood model genes microarray proteomic gene

• Pathway analysis of kidney cancer using proteomics and metabolic profiling.

  PMID 17123452 · PMC1665458 · Molecular cancer · 2006 · 8 claims · 8 setups

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  31 proteins are differentially expressed with high statistical significance (p<0.05) in ccRCC tumor tissue compared to adjacent non-malignant kidney tissue

  ccrcc rcc computational random gel immunoblotting immunohistochemistry

• Integrated genomics identifies five medulloblastoma subtypes with distinct genetic profiles, pathway signatures and clinicopathological features.

  PMID 18769486 · PMC2518524 · PloS one · 2008 · 8 claims · 4 setups

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  Unsupervised clustering of expression profiles from 62 medulloblastomas identifies 5 molecular subtypes (A–E)

  relapsed medulloblastoma independent expression array targeted

• Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer.

  PMID 18676839 · PMC2597340 · Cancer research · 2008 · 8 claims · 7 setups

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  MicroRNA processing components (Dicer, DGCR8) and microRNA host genes (MCM7, C9orf5) are significantly up-regulated in prostate tumors versus non-tumor tissue

  prostate subset lncap 22rv1 microrna quantitative western

• Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.

  PMID 19901961 · PMC2820592 · Oncogene · 2010 · 8 claims · 6 setups

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  Unsupervised gene expression clustering identifies 3 reproducible molecular subtypes of LMS (Group I/muscle-enriched, Group II, Group III)

  lms independent soft gene array immunohistochemistry

• Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma.

  PMID 34654806 · PMC8519947 · Nature communications · 2021 · 7 claims · 4 setups

  Has reproduction · 100

  Pathway-based signatures derived from on-treatment tumor specimens (PASS-ON) are highly predictive of response to anti-PD1 blockade in metastatic melanoma, achieving validation AUCs of 0.85–0.89.

  metastatic bulk

• A big circuit model.

  PMID 12940284 · PMC1316925 · Environmental health perspectives · 2003 · 8 claims · 8 setups

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  In early prostate carcinogenesis, apoptosis signals are primarily suppressed rather than growth rate being increased.

  prostate blood model genes microarray proteomic gene

• Expanding the vision of environmental health at UNC-CH.

  PMID 15248304 · PMC1247395 · Environmental health perspectives · 2004 · 8 claims · 8 setups

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  Human breast tumors arise from at least two distinct cell types, basal and luminal epithelial, with different clinical behavior

  breast chinese carolina rodent microarray functional genetic

• Independent component analysis reveals new and biologically significant structures in micro array data.

  PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups

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  ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone

  acute serum-stimulated head aml microarray clust term

• Allelic imbalance in gene expression as a guide to cis-acting regulatory single nucleotide polymorphisms in cancer cells.

  PMID 17267408 · PMC1865061 · Nucleic acids research · 2007 · 6 claims · 6 setups

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  Measuring allelic imbalance (AI) of two SNP alleles within the same sample is an effective approach for identifying cis-acting rSNPs, since each allele serves as an internal control for the other.

  tumor promoter hela cdna bead tag-microarray

• 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

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  Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset

  lung beer individual outlier expression rank-covariance quality-control

• Interpretation of genomic data: questions and answers.

  PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups

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  The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.

  genetically wound tumor breast gene expression comparative

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

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  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise

• Functional copy-number alterations in cancer.

  PMID 18784837 · PMC2527508 · PloS one · 2008 · 8 claims · 3 setups

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  RAE is a comprehensive computational framework that robustly maps chromosomal alterations in tumor samples and statistically assesses their functional importance in cancer.

  pleomorphic hapmap large snp computational

• Emerging translational bioinformatics: knowledge-guided biomarker identification for cancer diagnostics.

  PMID 19964620 · PMC5003034 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009 · 8 claims · 3 setups

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  omniBiomarker, a web-based application, uses prior biological knowledge to identify the most biologically relevant gene ranking metric for a given clinical problem

  renal microarray qrt-pcr computational

• 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

  Has reproduction

  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

  gastric tcga-stad microarray rna-seq immune

• Application of proteomics in the study of tumor metastasis.

  PMID 15862116 · PMC5172469 · Genomics, proteomics & bioinformatics · 2004 · 8 claims · 8 setups

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  Cell function is directly regulated through proteins, not genes or mRNA, so metastasis-related gene findings need protein-level validation via proteomics.

  young metastatic hepatocellular lines microarray 2de cdna