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).

• 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

• 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

• Single-cell spatial analysis stratifies lung adenocarcinoma with rare actionable mutations and reveals immune-modulatory cellular crosstalk.

  PMID 42013848 · PMC13198233 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

  Full-text index only

  Consensus meta-program (MP) expression patterns stratify LUAD patients with rare and reference oncogenic mutations into ICI-MP-H and ICI-MP-L subgroups reflecting differential predicted ICI benefit

  luad matched tcga epithelial single-cell multiplex bulk

• Holliday junction recognition protein (HJURP) could reflect the clinical outcomes of lung adenocarcinoma patients, and impact the choice of precision therapy.

  PMID 39649097 · PMC11621083 · Frontiers in genetics · 2024 · 7 claims · 8 setups

  Full-text index only

  HJURP is a significant prognostic biomarker in LUAD, with high expression associated with increased risk of overall survival death across four independent cohorts

  tcga-luad best brain advanced bulk kaplan-meier pearson

• Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression.

  PMID 41559111 · PMC12873405 · NPJ systems biology and applications · 2026 · 7 claims · 8 setups

  Full-text index only

  NR2F1 is a central transcription factor in LUAD progression, identified independently through GRN architecture transitions and gene regulation dynamics analysis

  luad epithelial myeloid nr2f1 single-cell gene binding

• Identification and validation of prognostic genes associated with M2 macrophage and heme metabolism in lung adenocarcinoma through bulk and single-cell RNA sequencing analysis.

  PMID 41787185 · PMC13076703 · Discover oncology · 2026 · 8 claims · 8 setups

  Full-text index only

  EPB41, ACP5, PPOX, RBM38, and TRIM58 were identified as prognostic genes for LUAD

  tcga-luad gse131907 clinical cibersort gsea spearman

• Multiomic and functional validation of ACSL3, a regulator of fatty acid metabolism, as a lymph node metastasis-associated gene in lung adenocarcinoma.

  PMID 41998631 · PMC13261843 · Respiratory research · 2026 · 8 claims · 8 setups

  Full-text index only

  A five-gene FAM-related risk signature (ACSL3, MCAT, NDUFAB1, OLAH, ACSL4)-derived FScore stratifies LUAD prognosis across multiple independent cohorts

  tcga-luad luad a549 lymphatic bulk scrna-seq spatial

• Functional germline variants together with somatic mutations alter the integrity of cancer hallmark regulatory networks.

  PMID 42057121 · PMC13151107 · Genome medicine · 2026 · 8 claims · 6 setups

  Full-text index only

  Combined germline and somatic alterations disturb cancer hallmark pathway integrity in individual-specific ways, potentially explaining unique clinical behavior of each cancer.

  tcga cancer individual biological germline somatic crispr

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small-cell lung cancer.

  PMID 41966692 · PMC13130634 · Cell reports. Medicine · 2026 · 8 claims · 6 setups

  Full-text index only

  Different histologic components within cSCLC tumors share a monoclonal origin

  ffpe sections tumor luad multi-region spatial single-nucleus