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 · 73
Expression of neurofibromin 1 in colorectal cancer and cetuximab resistance.
PMID 34779495 · PMC8611403 · Oncology reports · 2022 · 8 claims · 8 setups
NF1 is highly expressed in cetuximab-sensitive CRC cell lines and minimally expressed in cetuximab-resistant ones
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Has reproduction · 61
Multi-omics analyses identify mannose phosphate isomerase-centered hypoxia-induced angiogenesis signature in colorectal cancer.
PMID 41204349 · PMC12595641 · Journal of translational medicine · 2025 · 8 claims · 8 setups
Twelve HIA-related genes were identified that are transcriptionally activated by HIFs and functionally implicated in angiogenesis in CRC.
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Has reproduction · 45
Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.
PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 7 setups
Eight distinct T cell populations are identifiable in CRC tumor tissue and seven in peripheral blood by unsupervised clustering of scRNA-seq data.
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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.
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Has reproduction · 100
A comprehensive framework for analysis of microRNA sequencing data in metastatic colorectal cancer.
PMID 35047825 · PMC8759566 · NAR cancer · 2022 · 7 claims · 7 setups
Five miRNAs (Mir-210_3p, Mir-191_5p, Mir-8-P1b_3p [miR-141-3p], Mir-1307_5p, Mir-155_5p) are up-regulated at multiple metastatic sites in colorectal cancer.