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).

• 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

  Has reproduction · 48

  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

  tcga-brca gse96058 gse25066 bulk gene survival

• 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

• 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

  Has reproduction · 73

  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

  breast paired embryonic hesc-derived bulk rt-qpcr immunofluorescence

• 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

  Has reproduction · 84

  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

  tcga breast metabric brca bulk mirna methylation

• Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

  PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 74

  540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed

  breast colorectal lung common microarray kegg protein-protein

• 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

  Has reproduction · 85

  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

  normal er+ epithelial malignant single-cell spatial copy

• 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

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk