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).
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Has reproduction · 67
Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.
PMID 38435998 · PMC10909353 · PeerJ · 2024 · 8 claims · 8 setups
TNBC can be classified into three molecular subtypes (clusters 1, 2, 3) based on cellular senescence-related pathway scores
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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Single-Cell Computational Frameworks for Quantifying BET Bromodomain Inhibitor Resistance and Screening Re-Sensitizer Drugs in Triple-Negative Breast Cancer.
PMID 41933924 · PMC13205605 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 7 claims · 8 setups
Ferroptosis inhibition, marked by upregulation of suppressors (e.g., FTH1, GPX4) and downregulation of drivers, underlies the evolution of JQ1 resistance in TNBC cells
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Discovery and Evaluation of Biomarkers for Triple-Negative Breast Cancer Subtypes Uncovers Patient Stratification and Targeted Therapeutic Strategies.
PMID 41671401 · PMC13176827 · Cancer research · 2026 · 7 claims · 8 setups
A set of basal identity genes (SMA/ACTA2, TAGLN, TPM2) defined by scRNA-seq analysis enables subclassification of TNBC into a subgroup termed true basal TNBC (tB-TNBC)
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Decoding drug-responsive cell subpopulations in triple-negative breast cancer using single-cell multiomics.
PMID 42088352 · PMC13138057 · iScience · 2026 · 8 claims · 8 setups
A multimodal framework bridging bulk and single-cell transcriptomics data identifies drug-responsive cell subpopulations in TNBC
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Has reproduction · 73
FRMD8 inhibits tumor metastasis in BRCA1-associated TNBC by negatively regulating tmTNF-α.
PMID 40619383 · PMC12229025 · Cellular & molecular biology letters · 2025 · 8 claims · 8 setups
Low FRMD8 expression in BRCA1-mutant breast cancer cells significantly enhances metastatic potential to various organs
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Anti-CSF-1R therapy with combined immuno-chemotherapy coordinate an adaptive immune response to eliminate macrophage enriched triple negative breast cancers.
PMID 41484081 · PMC12858953 · Nature communications · 2026 · 8 claims · 8 setups
Combined low-dose CTX + anti-CSF-1R (SNDX-ms6352) is highly effective against aggressive metastatic Trp53-null TNBC models with high macrophage infiltration, producing complete tumor regression in claudin-low models.
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Single-cell RNA sequencing of adenoid cystic carcinoma of the breast reveals cellular heterogeneity and tumor microenvironment features.
PMID 41761191 · PMC13041279 · BMC medical genomics · 2026 · 8 claims · 7 setups
H19+ myoepithelial cells (H19+myoEpC) represent the dominant malignant subpopulation in ACCB, characterized by the majority of large-scale CNVs and high expression of oncogenic pathway genes and ligands (e.g., LAMB1, WNT6)
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Ectopic NMDAR expression in cancer unmasks germline-encoded autoimmunity.
PMID 41882353 · PMC13216075 · Nature · 2026 · 8 claims · 8 setups
GluN1 and GluN2B NMDAR subunits are ectopically expressed in cancer cells of human TNBC tumours
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Has reproduction · 54
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.
PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups
Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes
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Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer.
PMID 41674979 · PMC12885896 · Translational cancer research · 2026 · 8 claims · 8 setups
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