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).

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

  PMID 38157249 · PMC10781479 · Aging · 2023 · 6 claims · 7 setups

  Has reproduction · 85

  A nine-gene oxidative stress-related scoring (OSRS) model (AREG, CES1, CSTA, FDCSP, JCHAIN, IFFO2, PGLYRP4, SPOCK2, SPINK6) predicts overall survival in HNSCC.

  tcga-hnscc gse41613 gse103322 prjeb23709 bulk single-cell immunotherapy

• 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 · 6 claims · 8 setups

  Has reproduction

  A deep learning WSI cluster (three-class mini batch K-means on Inception V3 features) is associated with overall survival (P<0.001) and is an independent prognostic predictor (P=0.031) in BLCA.

  tcga-blca blca tcga deep transfer-learning neural-network

• Deubiquitination enzyme USP35 negatively regulates MAVS signaling to inhibit anti-tumor immunity.

  PMID 40016186 · PMC11868397 · Cell death & disease · 2025 · 8 claims · 8 setups

  Has reproduction · 81

  USP35 interacts with MAVS and removes its K63-linked polyubiquitin chains, inhibiting viral-induced MAVS-TBK1-IRF3 activation and downstream inflammatory gene expression

  tumor melanoma tcga-skcm hek293t bioinformatics geo kaplan-meier

• A platelet-related signature for predicting the prognosis and immunotherapy benefit in bladder cancer based on machine learning combinations.

  PMID 39280688 · PMC11399026 · Translational andrology and urology · 2024 · 8 claims · 8 setups

  Has reproduction · 51

  An Enet (alpha=0.4) machine-learning algorithm built from 10 platelet-related genes yields the optimal platelet-related signature (PRS) for bladder cancer prognosis, with average C-index 0.73

  bladder tcga bulk univariate integrative

• 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