ArticleClinical and translational medicine2023
Multiplex immunofluorescence and single-cell transcriptomic profiling reveal the spatial cell interaction networks in the non-small cell lung cancer microenvironment.
Article in Clinical and translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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55 citing papers in PubMed, 78 citations in OpenAlex.
- Efficacy and biomarker analysis of second-line nab-paclitaxel plus sintilimab in patients with advanced biliary tract cancer.Cancer science · 2024Trial
- Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.Renal failure · 2026Article
- Targeting the Tumor Microenvironment Network to Overcome Immunotherapy Resistance in Non-Small Cell Lung Cancer: Mechanisms to Clinical Translation.Cancer medicine · 2026Review
- Spatiotemporal multi-omics reveals lineage, spatial and functional heterogeneity of tumor-associated macrophages and therapeutic vulnerabilities in the tumor microenvironment.NPJ precision oncology · 2026Review
- Unlocking the ferroptotic window: Lipidomic rewiring and metabolic addiction in EMT-driven breast cancer resistance.Cell death discovery · 2026Review
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- CKS1B is a tumor-intrinsic factor driving CD8Science advances · 2026Article
- Single-cell transcriptomic analysis reveals that the circRNA circGCLM promotes tumorigenesis and confers cisplatin resistance in NSCLC through the miR-505-3p/ERBB4 axis.Translational oncology · 2026Article
- The Evolution of Spatial Omics Technologies Introduces A Novel Avenue for Lung Cancer Research.Genomics, proteomics & bioinformatics · 2026Review
- Spatial single-cell multi-omics characterization of the tumor microenvironment heterogeneity by HER-2 expression status in gastric cancer.Molecular cancer · 2026Article
- Cancer stem cell heterogeneity‑inspired therapeutics for enhancing tumor treatment outcomes (Review).International journal of oncology · 2026Review
- Current Insights and Future Directions of Multiomic and Spatial-Omic Analysis in Non-Small Cell Lung Cancer.JCO precision oncology · 2026Review
- Neutrophils in the hepatocellular carcinoma microenvironment: orchestrators of progression and immunity.Frontiers in immunology · 2026Review
- Expression of EMT-Related Markers and CD133 in Non-Small Cell Lung Cancer: Associations with Clinicopathological Features and Prognosis.Cancer management and research · 2026Article
- Tumor-associated neutrophils in lung adenocarcinoma: from mechanisms to therapeutic targeting.Frontiers in immunology · 2026Review
- Article
- Research Progress Regarding the Use of Single-Cell Sequencing Technology in Analyzing Tumor Endothelial Cell Pathophysiology.International journal of molecular sciences · 2025Review
- Using spatial proteomics to enhance cell type assignments in histology images.Cell reports methods · 2025Article
- Shared M0 macrophage infiltration-related gene signatures in osteoarthritis and osteomyelitis by integrating bulk and single-cell RNA transcriptome.European journal of medical research · 2025Article
- Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConventional immunohistochemistry technologies were limited by the inability to simultaneously detect multiple markers and the lack of identifying spatial relationships among cells, hindering understanding of the biological processes in cancer immunology.
methodsTissue slices of primary tumours from 553 IA∼IIIB non-small cell lung cancer (NSCLC) cases were stained by multiplex immunofluorescence (mIF) assay for 10 markers, including CD4, CD38, CD20, FOXP3, CD66b, CD8, CD68, PD-L1, CD133 and CD163, evaluating the amounts of 26 phenotypes of cells in tumour nest and tumour stroma. StarDist depth learning model was utilised to determine the spatial location of cells based on mIF graphs. Single-cell RNA sequencing (scRNA-seq) on four primary NSCLC cases was conducted to investigate the putative cell interaction networks.
resultsSpatial proximity among CD20+ B cells, CD4+ T cells and CD38+ T cells (r
conclusionsWe developed a framework to analyse the cell interaction networks in tumour microenvironment, revealing the spatial architecture and intricate interplays between immune and tumour cells.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.