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).

• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A Hybrid signature combining the NPI with 14 SIS-selected genes was constructed from METABRIC training data

  metabric gse96058 test gene sure cox

• Identification and validation of lymphangiogenesis-related genes for predicting acute myeloid leukemia prognosis: insights from bulk RNA sequencing and single-cell RNA sequencing analyses.

  PMID 41772327 · PMC12979290 · Clinical and experimental medicine · 2026 · 7 claims · 8 setups

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  A 6-LYMRG risk model (ANGPT1, HGF, MAPK8, PCNA, TBL1XR1, TLR4) is the optimal prognostic signature for AML

  gse142698 tcga-laml tcga-laml1 gse116256 differential univariate kaplan-meier

• Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer.

  PMID 41851738 · PMC13112628 · Respiratory research · 2026 · 8 claims · 8 setups

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  A six-gene MRG panel (FOS, CANX, EIF4G1, CALCOCO2, HSP90AB1, PRKAR1A) was selected via LASSO regression as prognostic markers in NSCLC.

  nsclc tcga external immunotherapy single-cell bulk transcriptomic

• 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

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  Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms

  colon coad ssgsea-based machine differential

• Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.

  PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups

  Has reproduction · 63

  Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes

  hnscc combined gse164690 tcga-hnsc ssgsea unsupervised immune

• Revealing potential interfering genes between abdominal aortic aneurysm and periodontitis through machine learning and bioinformatics analysis.

  PMID 40857330 · PMC12380325 · PloS one · 2025 · 6 claims · 8 setups

  Full-text index only

  90 interacting genes were identified at the intersection of AAA DEGs and periodontitis WGCNA module genes

  abdominal gingival overlapping interacting microarray weighted kegg

• Single-cell mapping of cholesterol metabolism reveals FDPS as a therapeutic vulnerability in hepatocellular carcinoma.

  PMID 41706364 · PMC12916967 · Cellular oncology (Dordrecht, Netherlands) · 2026 · 7 claims · 8 setups

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  Cholesterol metabolic activity is markedly elevated in HCC tumors and in immune checkpoint blockade (ICB) non-responders, with pronounced intratumoral heterogeneity across malignant cell subpopulations

  hcc tcga-lihc malignant hepa1-6 scrna-seq bulk hdwgcna

• 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

  Full-text index only

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

  pdac bulk ssgsea differential

• Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.

  PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 8 claims · 8 setups

  Has reproduction

  A three-class WSI cluster (C0/C1/C2) derived via mini batch K-means clustering on Inception V3-extracted image features is significantly associated with overall survival and is an independent prognostic predictor in BLCA.

  tcga-blca gse32894 deep transfer machine

• T Cells With Activated STAT4 Drive the High-Risk Rejection State to Renal Allograft Failure After Kidney Transplantation.

  PMID 35844542 · PMC9283858 · Frontiers in immunology · 2022 · 8 claims · 8 setups

  Has reproduction · 78

  Unsupervised UMAP/Leiden clustering of 2,611 microarray datasets reveals 6 rejection states that diverge from traditional Banff clinical classification

  kidney scrna-seq microarray meblack microarray single-cell scissor

• Assessment tool based on fatty acid metabolic signatures for predicting the prognosis and treatment response in bladder cancer.

  PMID 38076064 · PMC10703629 · Heliyon · 2023 · 8 claims · 8 setups

  Has reproduction · 71

  Consensus clustering of prognosis-related fatty acid metabolism genes (FAMGs) identifies three molecular subtypes of BLCA (FAMC1, FAMC2, FAMC3) with distinct prognoses and tumor microenvironments

  tcga-blca famc1-3 differentially gse32894 bulk consensus gene