ArticleNature communications2023
Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06219031 (A Study of the Tumor Microenvironment Affecting the Efficacy of Immunotherapy for Esophageal Cancer), which is not on this map. Cited by 31 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Study of the Tumor Microenvironment Affecting the Efficacy of Immunotherapy for Esophageal Cancer
Who cites it
31 citing papers in PubMed.
- Mitochondrial mechanisms underlying spatial immune phenotypes in non‑small cell lung cancer: Implications for ICI response and cold‑to‑hot tumor conversion (Review).Oncology reports · 2026Review
- PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns.bioRxiv : the preprint server for biology · 2026Article
- scRNA-seq and genomics analyses reveal key mechanisms of inverted papilloma-associated sinonasal squamous cell carcinoma malignant transformation.bioRxiv : the preprint server for biology · 2026Article
- NKG2A inhibition promotes NK cell-CD8Nature communications · 2026Article
- Graph neural network modeling of spatial tumor-immune interactions identifies prognostic cellular niches in non‑small cell lung cancer.NPJ precision oncology · 2026Article
- The evolving role of the immune microenvironment of tumor draining lymph nodes in the development of biomarkers of non-small cell lung cancer.Frontiers in oncology · 2026Review
- Article
- S100A4 characterize antigen-presenting cancer-associated fibroblasts and predicts surgical outcomes in relapsed ovarian cancer.Therapeutic advances in medical oncology · 2026Article
- Applications of artificial intelligence in non-small cell lung cancer: from precision diagnosis to personalized prognosis and therapy.Journal of translational medicine · 2025Review
- Nicheformer: a foundation model for single-cell and spatial omics.Nature methods · 2025Article
- Decoding the tumor immune microenvironment in lung squamous cell carcinoma: characteristics, regulatory mechanisms, and future directions in immunotherapy.Translational lung cancer research · 2025Review
- Elevated Serum Chromogranin-A and Characteristic Duodenal Enteroendocrine Cell Distribution in Pancreatic Fibrosis and Chronic Pancreatitis Compared with Other Dyspeptic Disorders: A Case Series Study.Diagnostics (Basel, Switzerland) · 2025Article
- Activation of CD8⁺ T Cells in the Human Ex Vivo Lung Tumor Microenvironment Using Anti-CD3/CD28 and Nivolumab.European journal of immunology · 2025Article
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- Article
- Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma.Experimental hematology & oncology · 2024Article
- SubvertingBiology · 2024Review
- The prognostic effect of infiltrating immune cells is shaped by proximal M2 macrophages in lung adenocarcinoma.Molecular cancer · 2024Article
- Analyzing the Spatial Distribution of Immune Cells in Lung Adenocarcinoma.Journal of personalized medicine · 2024Article
- Density of tertiary lymphoid structures predicts clinical outcome in breast cancer brain metastasis.Journal for immunotherapy of cancer · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Studying the cellular geographic distribution in non-small cell lung cancer is essential to understand the roles of cell populations in this type of tumor. In this study, we characterize the spatial cellular distribution of immune cell populations using 23 makers placed in five multiplex immunofluorescence panels and their associations with clinicopathologic variables and outcomes. Our results demonstrate two cellular distribution patterns-an unmixed pattern mostly related to immunoprotective cells and a mixed pattern mostly related to immunosuppressive cells. Distance analysis shows that T-cells expressing immune checkpoints are closer to malignant cells than other cells. Combining the cellular distribution patterns with cellular distances, we can identify four groups related to inflamed and not-inflamed tumors. Cellular distribution patterns and distance are associated with survival in univariate and multivariable analyses. Spatial distribution is a tool to better understand the tumor microenvironment, predict outcomes, and may can help select therapeutic interventions.
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Registered trials
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