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 · 85
Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.
PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups
Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront
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Has reproduction · 84
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
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
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Has reproduction · 48
Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.
PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups
Breast cancer samples can be divided into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on expression of m6A-related genes, with consistent proportions across datasets
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Has reproduction · 73
Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.
PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups
N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort
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Has reproduction · 92
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.
PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 8 setups
MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks
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Has reproduction · 59
Integrating multi-omics data reveals the antitumor role and clinical benefits of gamma-delta T cells in triple-negative breast cancer.
PMID 40197136 · PMC11974128 · BMC cancer · 2025 · 8 claims · 8 setups
High γδT cell infiltration is associated with favorable prognosis in TNBC but not in HR-positive or HER2-positive breast cancer
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Has reproduction · 94
iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.
PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups
Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 7 claims · 8 setups
Eight gene modules linked to metastasis were identified via scored network analysis and validated through pathway databases.
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer