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).

• Characterizing Response to PARP Inhibitor Treatment Combinations in Advanced Prostate Cancer.

  PMID 42193276 · PMC13203762 · Biomedicines · 2026 · 8 claims · 8 setups

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  PARPi + ARPi combinations are effective in ARPi-sensitive (C4-2B) and ARPi-resistant (AbiR, MDVR) prostate cancer models, but provide the greatest benefit in ARPi-sensitive cells

  c4-2b cck-8 morphology western

• Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.

  PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups

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  MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework

  bulk single-cell tcga glioma gsva aucell machine

• Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.

  PMID 37954334 · PMC10637964 · Heliyon · 2023 · 8 claims · 8 setups

  Has reproduction · 88

  APOBEC family genes are differentially expressed across cancer types and tissues, with APOBEC3B being the most aberrantly upregulated gene in most cancers including LUAD

  tcga tcga-luad beas-2b rna-seq somatic gene

• A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.

  PMID 41559646 · PMC12910786 · BMC cancer · 2026 · 6 claims · 8 setups

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  A tumor cell metaprogram (MP7) identified from scRNA-seq of CSCC shows elevated hypoxia, invasion, metastasis, proliferation, and angiogenesis scores compared to other metaprograms.

  cscc tcga-cscc mp7 siha single-cell bulk gene

• 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