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).
-
Full-text index only
Fibroblast-associated CTHRC1 as a key indicator of recurrence risk in prostate cancer.
PMID 41832493 · PMC13101373 · World journal of surgical oncology · 2026 · 7 claims · 8 setups
Pathological T stage, N stage, Gleason score, and TP53 mutation are associated with higher PRAD recurrence risk
-
Has reproduction · 71
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
AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)
-
Full-text index only
DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.
PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups
Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification
-
Full-text index only
Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.
PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups
Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms
-
Full-text index only
Endothelial-derived PANoptosis factor IL33 is a potential immunotherapy in breast cancer.
PMID 42095097 · PMC13141053 · iScience · 2026 · 8 claims · 8 setups
NMF clustering of PANoptosis-related gene expression stratifies breast cancer patients into three distinct molecular clusters (C1, C2, C3)