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).

• Heterogeneity of cancer-associated fibroblasts in head and neck squamous cell carcinoma.

  PMID 37320872 · PMC10277597 · Translational oncology · 2023 · 8 claims · 9 setups

  Has reproduction · 50

  Seven distinct CAF subsets exist in HNSCC, identified via integration of scRNA-seq, bulk transcriptomic, and spatial transcriptomic data.

  hnscc tcga-hnscc caf fibroblast single-cell bulk spatial

• Integrative single-cell analysis uncovers distinct tumour microenvironment ecotypes and immune evasion across skin cancers.

  PMID 41636115 · PMC12869349 · Clinical and translational medicine · 2026 · 7 claims · 8 setups

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  A malignant NARS2+NDUFC2+ melanoma cell subpopulation with reduced MHC-I expression is enriched in advanced-stage tumours and associated with worse survival and immunotherapy response.

  skin prognosis melanoma macrophage single-cell bulk immunofluorescence

• A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.

  PMID 41559646 · PMC12910786 · BMC cancer · 2026 · 6 claims · 8 setups

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  A tumor cell metaprogram (MP7) identified from scRNA-seq of CSCC shows elevated hypoxia, invasion, metastasis, proliferation, and angiogenesis scores compared to other metaprograms.

  cscc tcga-cscc mp7 siha single-cell bulk gene

• UBE2M as a bridge spanning neddylation and cell cycle regulation in colorectal adenocarcinoma.

  PMID 41680469 · PMC12993059 · Experimental & molecular medicine · 2026 · 8 claims · 8 setups

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  Neddylation is associated with G2M phase progression in CRC

  crc paired hek293t cell-free single-cell bulk immunohistochemistry

• 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

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk

• Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.

  PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups

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  MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework

  bulk single-cell tcga glioma gsva aucell machine

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell

• Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.

  PMID 41555384 · PMC12895822 · Journal of translational medicine · 2026 · 8 claims · 8 setups

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  A parsimonious 2-gene immune-related signature (IRS = 0.425×KPNA2 + 0.302×SMG5) is significantly associated with immune heterogeneity and response to ICI plus anti-angiogenic combination therapy in HCC

  hcc gse202642 paired hcc-derived bulk single-cell immunohistochemistry

• Construction of a SEMA3 family-based model to predict prognosis and molecular subtypes in pancreatic ductal adenocarcinoma.

  PMID 41792569 · PMC13079247 · Discover oncology · 2026 · 8 claims · 8 setups

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  SEMA3 family expression defines two molecular subtypes (A and B) of PDAC with significantly different overall survival

  pdac bulk ssgsea differential

• Metabolic reprogramming and prognostic insights in molecular landscapes driven by glycolysis in ovarian cancer.

  PMID 40707588 · PMC12290113 · Scientific reports · 2025 · 7 claims · 8 setups

  Has reproduction · 77

  457 differentially expressed GRGs were identified between OC and normal ovarian tissue, of which 30 were significantly associated with prognosis

  tcga-oc tcga-oc-gse26193 ov_gse154600 iose-80 bulk univariate copy

• Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

  PMID 39355255 · PMC11442245 · Frontiers in immunology · 2024 · 8 claims · 8 setups

  Has reproduction · 69

  66 consensus immunotherapy prognostic genes (CITPGs) were identified from the intersection of WGCNA modules, immunotherapy responder-vs-non-responder DEGs, and tumor-vs-normal DEGs

  melanoma tcga-skcm prjeb23709 microarray wgcna differential consensus

• Have microarrays failed to deliver for developmental biology?

  PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups

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  Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.

  drosophila caenorhabditis developing xenopus cdna genome-wide microarray

• A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.

  PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups

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  CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts

  tcga-gbm glioma meta consensus wgcna machine