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 · 41
Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.
PMID 41601652 · PMC12832467 · Frontiers in immunology · 2025 · 8 claims · 8 setups
A CPAN-index prognostic model built from 11 PANoptosis-related differentially expressed genes (CPAN_DEGs) stratifies CRC patients into high-risk and low-risk groups with distinct survival and immunophenotypes.
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Has reproduction · 53
Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.
PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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Has reproduction · 83
Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.
PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups
AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy
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Has reproduction · 74
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
540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed
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Has reproduction · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA-derived hub genes with a VAE-derived 10-dimensional representation as features for an SVM classifier achieves high accuracy (0.9692) and AUC (0.9981) for colorectal cancer prediction.