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

• Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment.

  PMID 41613532 · PMC12847018 · Frontiers in oncology · 2025 · 7 claims · 8 setups

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  Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups

  tcga-brca breast scrna-seq epithelial ssgsea single-cell cell-cell

• ISG15-driven immune modulation and tumor progression in breast cancer metastasis: insights from single-cell and spatial transcriptomics.

  PMID 41639695 · PMC12958617 · BMC medicine · 2026 · 8 claims · 8 setups

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  CSC proportion is elevated in lymph node metastatic tumor tissue (BRCA_LNMT) compared to primary tumor (BRCA_PT)

  4t1 brca tcga-brca top single-cell spatial bulk

• Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer.

  PMID 41674979 · PMC12885896 · Translational cancer research · 2026 · 8 claims · 8 setups

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  A FAM-related gene prognostic model (FAMGM) built using CoxBoost and random survival forest was identified as the optimal model among 101 machine learning combinations, based on highest average C-index across TCGA-BRCA and GSE96058 cohorts

  tcga-brca gse96058 brca breast bulk single-cell spatial

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution