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).

• STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.

  PMID 32323921 · PMC7178451 · Molecular systems biology · 2020 · 8 claims · 6 setups

  Has reproduction · 66

  Low STAT3 expression in primary PCa is associated with increased OXPHOS and ribosomal biosynthesis at the transcriptomic level

  prostate bulk weighted reverse

• Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.

  PMID 34911933 · PMC8674326 · Nature communications · 2021 · 8 claims · 7 setups

  Has reproduction · 79

  Low-grade (Gleason pattern 3) prostate cancer cells share chromatin accessibility features that are lost in high-grade (Gleason pattern 4) tumours

  flash-frozen tcga single differentially single-cell bulk topic

• Molecular and Clinical Relevance of ZBTB38 Expression Levels in Prostate Cancer.

  PMID 32365491 · PMC7281456 · Cancers · 2020 · 8 claims · 8 setups

  Has reproduction · 35

  ZBTB38 mRNA expression is significantly lower in prostate cancer than in normal/benign prostate tissue, and further reduced in metastatic versus localised tumours

  localised tcga taylor metastatic microarray rna-sequencing clinico-pathological

• Correcting scale distortion in RNA sequencing data.

  PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)

  tcga su2c gse47774 gtex bulk computational d'agostino

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions.

  PMID 39759507 · PMC11695424 · Frontiers in immunology · 2024 · 8 claims · 8 setups

  Full-text index only

  A malignant cell subtype in PCa with high expression of NEFH was identified, located at the differentiation terminal, showing higher malignancy and association with advanced tumor lesions.

  pca malignant tcga mda single-cell infercnv pseudotime

• Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.

  PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups

  Has reproduction · 78

  Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely

  gene racipe clinical tcga racipe influence principal

• 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