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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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
CSC proportion is elevated in lymph node metastatic tumor tissue (BRCA_LNMT) compared to primary tumor (BRCA_PT)
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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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Migratory Tumor Cells Cooperate with Cancer Associated Fibroblasts in Hormone Receptor-Positive and HER2-Negative Breast Cancer.
PMID 38892065 · PMC11172245 · International journal of molecular sciences · 2024 · 8 claims · 8 setups
HR+/HER2-BC tumor epithelial cells comprise four single-cell-defined functional (SC-f) subtypes: migratory, secretory, proliferating, and dysfunctional.
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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
Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups
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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
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Has reproduction · 94
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.
PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups
HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)
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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 · 7 claims · 8 setups
High expression of transcription factors FOXA1 and EZH2 in malignant cells at the invasive front plays a key role in driving tumor progression
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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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Robust and efficient annotation of cell states through gene signature scoring.
PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups
Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.
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Single-cell profiling reveals distinct populations of tumor-associated macrophages and metastatic tumor cells in breast cancer brain metastasis.
PMID 42034645 · PMC13247122 · Cell death & disease · 2026 · 8 claims · 8 setups
Single-cell profiling of BCBM identifies 12 tumor-associated macrophage (TAM) subtypes and 5 metastatic tumor cell (MTC) subtypes with distinct transcriptional profiles
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Decoding clone evolution in HER2 amplified breast cancer through single-cell and spatial transcriptomics analysis of copy number variations.
PMID 41840060 · PMC13125306 · Scientific reports · 2026 · 8 claims · 7 setups
IDC exhibits significantly higher CNV burden than DCIS, supporting progressive genomic instability during tumor evolution
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CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.
PMID 42080261 · PMC13136905 · Nucleic acids research · 2026 · 8 claims · 8 setups
CSsingle explicitly corrects for cell-type-specific RNA content (cell size) differences using ERCC spike-ins or a novel computational estimator
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IMIREG: a lineage-resolved regulon signature unveiling immune engagement archetypes and predicting immunotherapy response across diverse cancers.
PMID 42092126 · PMC13234301 · NPJ precision oncology · 2026 · 8 claims · 8 setups
IMIREG, a 14-regulon transcriptional signature, robustly predicts clinical benefit from ICB across 50 immunotherapy cohorts (52 treatment arms) spanning 16 cancer types with mean AUROC = 0.71
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Integrated spatial transcriptomics and pan-cancer XGBoost modeling uncover spatial drivers of immune exclusion and predict immunotherapy response.
PMID 41925746 · PMC13046951 · Cancer immunology, immunotherapy : CII · 2026 · 8 claims · 8 setups
A three-step computational framework (ImmCeRNA) identified 6,070 immune-related ceRNA interactions across 27 cancer types by integrating expression correlation and experimental validation data.
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Aging-associated differences in mammary tumor-initiating populations and immune evasion pathways in breast cancer.
PMID 41719331 · PMC12933083 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 8 setups
Age at NMU exposure critically influences tumor incidence, mutational burden, molecular subtype, and the tumor immune microenvironment