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).

• Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.

  PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

  aml hovon cancer tcga bulk consensus machine

• Pan-cancer evaluation of regulated cell death to predict overall survival and immune checkpoint inhibitor response.

  PMID 38538696 · PMC10973470 · NPJ precision oncology · 2024 · 8 claims · 8 setups

  Full-text index only

  RCD score, defined as the sum of ssGSEA scores of 18 RCD signatures, quantifies overall RCD signaling in a sample

  tcga gtex scrna-seq cancer bulk scrna-seq transcriptomic

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

  PMID 34654806 · PMC8519947 · Nature communications · 2021 · 6 claims · 8 setups

  Has reproduction · 100

  A pathway-based super signature from on-treatment samples (PASS-ON) predicts anti-PD1 response with high accuracy (validation AUC 0.85-0.89, combined AUC 0.88) and outperforms existing signatures across all four datasets.

  metastatic pathway bulk gene elastic-net

• STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.

  PMID 32323921 · PMC7178451 · Molecular systems biology · 2020 · 8 claims · 6 setups

  Has reproduction · 66

  Low STAT3 expression in primary PCa is associated with increased OXPHOS and ribosomal biosynthesis at the transcriptomic level

  prostate bulk weighted reverse

• Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

  PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 83

  Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD

  tcga gse13213 gse31210 multiomics closest ssgsea

• Cancer-wide in silico analyses using differentially expressed genes demonstrate the functions and clinical relevance of JAG, DLL, and NOTCH.

  PMID 39074091 · PMC11285958 · PloS one · 2024 · 7 claims · 8 setups

  Full-text index only

  JAG, DLL, and NOTCH family gene/protein expression varies diversely across 15 cancer types relative to normal tissue, sometimes discordant between mRNA and protein levels.

  tumor degs cancer jag bulk proteomics gene

• Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.

  PMID 38230570 · PMC10795782 · Cancer biology & therapy · 2024 · 8 claims · 6 setups

  Has reproduction · 87

  NOR-specific and MES-specific gene expression patterns are largely mutually exclusive, exhibiting a teams-like behavior across multiple bulk NB transcriptomic datasets

  lines bulk single-cell housekeeping bulk pca single-sample

• Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis.

  PMID 39825072 · PMC11742665 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  56 shared genes with consistent expression trend were identified between OB and AS by intersecting WGCNA key module genes with DEGs

  obesity atherosclerosis differential wgcna lasso

• 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

  Has reproduction · 91

  DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution

• Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.

  PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 8 setups

  Has reproduction

  Metabolic status is closely tied to tumor differentiation state, with distinct metabolic reprogramming occurring during thyroid cancer dedifferentiation

  thyroid fuscc gse193581 aggregated untargeted whole-exome transcriptomics