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).

• Single-cell analysis highlights the significance of malignant cell IFN/MHC-II for immunotherapy response in head and neck squamous cell carcinoma.

  PMID 41923630 · PMC13130666 · Cell reports. Medicine · 2026 · 8 claims · 4 setups

  Full-text index only

  A malignant cell subset expressing IFN-response and MHC-II genes (IFN/MHC-II) increases in proportion after pembrolizumab treatment and is associated with response

  hnscc ffpe syngeneic independent single-cell multiplexed tumor

• PRDM1+ Malignant Cells Mediate an Immunosuppressive Landscape and Resistance to Neoadjuvant Chemoradiotherapy and Immunotherapy in Esophageal Squamous Cell Carcinoma.

  PMID 41556358 · PMC13042517 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

  Full-text index only

  A PRDM1+ malignant epithelial cell subcluster (Epi_C4) is enriched in NMPR patients and is associated with nICRT treatment resistance

  locally escc pd-1 kyse-30 single-arm scrna-seq bulk

• Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.

  PMID 39100839 · PMC11291408 · Translational andrology and urology · 2024 · 8 claims · 8 setups

  Has reproduction · 40

  An integrative machine learning procedure (10 methods, 101 algorithm combinations) identified an Enet (alpha=0.2)-based intratumor heterogeneity-related signature (IRS) with the highest average C-index (0.69) across TCGA and GEO cohorts

  bladder skin bulk integrative immune

• 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

  Full-text index only

  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.

  escc gse53625 gse160269 imvigor210 microarray univariate single-cell

• Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer.

  PMID 41851738 · PMC13112628 · Respiratory research · 2026 · 8 claims · 8 setups

  Full-text index only

  A six-gene MRG panel (FOS, CANX, EIF4G1, CALCOCO2, HSP90AB1, PRKAR1A) was selected via LASSO regression as prognostic markers in NSCLC.

  nsclc tcga external immunotherapy single-cell bulk transcriptomic

• CLK1 Promotes Myeloid-Derived Suppressor Cell Trafficking and Reprograms the Tumor Microenvironment by Activating Hippo/YAP Signaling in Colorectal Cancer.

  PMID 41686262 · PMC13136879 · Cancer immunology research · 2026 · 8 claims · 8 setups

  Full-text index only

  CLK1 is markedly upregulated in immune-cold colorectal tumors and correlates with increased MDSC infiltration and CD8+ T-cell exclusion

  colorectal tcga-coad ct26 tumor scrna-seq bulk multiplex

• Orthogonal cytokine engineering enables novel synthetic effector states escaping canonical exhaustion in tumor-rejecting CD8(+) T cells.

  PMID 37081150 · PMC10154250 · Nature immunology · 2023 · 8 claims · 7 setups

  Has reproduction · 37

  Orthogonal engineering with PD1d/IL-2v/IL-33 reprograms adoptively transferred CD8+ T cells into a novel synthetic effector state (C5/TSE) that deviates from canonical TOX+ exhaustion

  cd8+ b16-ova ot1 mice scrna-seq flow secretion

• Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.

  PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups

  Has reproduction · 59

  NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering

  tcga-nsclc geo bulk microarray unsupervised

• A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells.

  PMID 41484771 · PMC12882460 · Molecular cancer · 2026 · 7 claims · 5 setups

  Full-text index only

  Integration of pan-cancer scRNA-seq data yields a comprehensive single-cell atlas of 157,025 high-quality DNT cells across 23 cancer types.

  tumor dnt ffpe mc38 scrna-seq tcr multiplex