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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Pan-cancer evaluation of regulated cell death to predict overall survival and immune checkpoint inhibitor response.
PMID 38538696 · PMC10973470 · NPJ precision oncology · 2024 · 8 claims · 8 setups
RCD score, defined as the sum of ssGSEA scores of 18 RCD signatures, quantifies overall RCD signaling in a sample
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Pan-Cancer Single-Cell RNA Sequencing Analysis Refines Multi-Origin Monocyte and Macrophage Lineages.
PMID 41231218 · PMC12865363 · Cancer immunology research · 2026 · 6 claims · 8 setups
TAMs arise from two distinct origins: C1QC+ TAMs likely derive from resident tissue macrophages, while SPP1+ TAMs and ISG15+ TAMs likely originate from circulating monocytes.
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Has reproduction · 88
Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.
PMID 37954334 · PMC10637964 · Heliyon · 2023 · 8 claims · 8 setups
APOBEC family genes are differentially expressed across cancer types and tissues, with APOBEC3B being the most aberrantly upregulated gene in most cancers including LUAD
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Has reproduction · 58
Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.
PMID 38529307 · PMC10962337 · PeerJ · 2024 · 8 claims · 8 setups
PPARA, PPARD and PPARG are more abnormally expressed in STAD samples and cell lines compared to most of 32 cancer types in TCGA
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Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.
PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups
Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone
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DLX2 marks an immunosuppressive dendritic-cell program that reshapes cytotoxic immunity and marks a tolerogenic microenvironment in lung adenocarcinoma.
PMID 41761000 · PMC13043845 · Discover oncology · 2026 · 8 claims · 8 setups
Neuroactive ligand–receptor signaling is among the most significantly upregulated pathways in LUAD relative to normal lung tissue.
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Colorectal microenvironment determines the prognosis of colorectal cancer.
PMID 41495419 · PMC12868731 · Experimental & molecular medicine · 2026 · 8 claims · 7 setups
The colorectal microenvironment (classified via NBT gene expression as tumor-supportive vs healthy) can serve as a prognostic biomarker predicting cancer invasiveness and recurrence
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Multimodal profiling of pancreatic cancer reveals a TIMP-1-dominated secretory profile determining pro-tumor immunoinstruction in human cancers.
PMID 41564862 · PMC12866174 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
A 19-factor cancer-immunoinstructive secretory signature (CISS) is present across multiple human cancers and correlates with pro-tumorigenic tumor microenvironments and poor patient survival.
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Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.
PMID 41681864 · PMC12897147 · Cancers · 2026 · 8 claims · 8 setups
A 4-ARG prognostic model (NBEA, CLOCK, NLRX1, MAGEA3) built via stepwise multivariate Cox regression stratifies ESCC patients into high- and low-risk groups with significantly different survival.
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups
DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data
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Advancing Prognosis Prediction and Immunotherapy Efficacy in Lung Adenocarcinoma Through Machine Learning: Novel Insights From Anoikis Regulator Patterns in Single-Cell Multiomics.
PMID 41488744 · PMC12764181 · International journal of genomics · 2026 · 8 claims · 8 setups
Epithelial and endothelial cells show the highest anoikis-enriched scores among LUAD TME cell types, with AT2-like Epi being the most anoikis-related epithelial subpopulation.