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 · 75
PD-1 and TIGIT coexpression identifies a circulating CD8 T cell subset predictive of response to anti-PD-1 therapy.
PMID 33188038 · PMC7668369 · Journal for immunotherapy of cancer · 2020 · 7 claims · 6 setups
The frequency of circulating PD-1+TIGIT+ (DPOS) CD8+ T cells after 1 month of anti-PD-1 therapy is associated with clinical response and overall 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 · 64
Spatial-reprogramming derived GPNMB(+) macrophages interact with COL6A3(+) fibroblasts to enhance vascular fibrosis in glioblastoma.
PMID 41174767 · PMC12577258 · Genome medicine · 2025 · 8 claims · 8 setups
COL6A3+ TAFs are a distinct matrix-fibroblast subset significantly enriched in non-responders to neoadjuvant antiangiogenic+ICB combination therapy
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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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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes