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).

• 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

• Multi-omics analyses related to mitochondria and ageing in triple-negative breast cancer implicate PYCR1 potentiates tumor progression.

  PMID 41749247 · PMC13041056 · Cancer cell international · 2026 · 8 claims · 8 setups

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  A 4-gene mitochondrial ageing-related risk score (MARS) model (PYCR1, MAPT, CEBPA, BCL2A1) predicts TNBC prognosis

  tcga-brca gse58812 gse18728 metabric bulk single-cell immunohistochemistry

• FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.

  PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups

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  FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.

  colorectal crc breast he-stained spatial type ccc

• SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.

  PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups

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  SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response

  cortex liver clear breast spatial elastic

• Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction

  Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.

  tcga same metastatic tumor-only whole-exome wes copy-number

• 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

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  Single-cell profiling of BCBM identifies 12 tumor-associated macrophage (TAM) subtypes and 5 metastatic tumor cell (MTC) subtypes with distinct transcriptional profiles

  brain breast scrna-seq tams scrna-seq bulk copy