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).

• 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

• Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma.

  PMID 38433919 · PMC10905000 · iScience · 2024 · 8 claims · 8 setups

  Has reproduction · 100

  The four proposed GBM molecular subtypes (Proneural, Neural, Classical, Mesenchymal / NPC-like, OPC-like, AC-like, MES-like) are not mutually exclusive or independent of one another

  scrna-seq tcga-gbm gse131928 tumor gene pairwise principal

• 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

• 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

• A novel oxidative stress-related gene signature as an indicator of prognosis and immunotherapy responses in HNSCC.

  PMID 38157249 · PMC10781479 · Aging · 2023 · 7 claims · 8 setups

  Has reproduction · 85

  Consensus clustering of 74 oxidative stress-related genes identifies three distinct HNSCC molecular subgroups (Cluster1-3) with significantly different overall survival and tumor stage distribution

  tcga-hnscc gse41613 gse103322 prjeb23709 bulk single-cell immunohistochemistry

• 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

  Has reproduction · 40

  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

  bladder skin bulk integrative immune

• 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

• 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