ReviewFrontiers in immunology2021
Single-Cell RNA Sequencing in Lung Cancer: Revealing Phenotype Shaping of Stromal Cells in the Microenvironment.
Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 115 citations in OpenAlex.
- Identification of prognostic biomarkers and immunotherapy response predictors in lung adenocarcinoma: integrative Mendelian randomization and machine learning analysis.Translational lung cancer research · 2026Article
- The MAD2L1-FOXM1 axis negatively regulates CD4⁺ T cell and macrophages infiltration in lung adenocarcinoma.Discover oncology · 2026Article
- Divergent CD45Frontiers in immunology · 2026Article
- The tumor microenvironment in lung cancer: Heterogeneity, therapeutic resistance and emerging treatment strategies (Review).International journal of oncology · 2026Review
- Single-Cell RNA Sequencing Reveals Potential Mechanism of RUNX3 Reshaping Tumor Microenvironment in Non-small-cell Lung Cancer.Annals of surgical oncology · 2025Article
- Hybrid chalcone-pyrazoline derivatives: synthesis and in silico evaluation for anticancer potential.Future medicinal chemistry · 2025Article
- Identification of biomarkers and mechanisms associated with palmitoylation in acute kidney injury using transcriptome and single cell data.Scientific reports · 2025Article
- Single-cell RNA sequencing reveals the role of GTF2F2 in ovarian cancer oncogenesis and progression.Journal of ovarian research · 2025Article
- Article
- A dataset of single-cell transcriptomic atlas of Bama pig and potential marker genes across seven tissues.BMC genomic data · 2025Article
- Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.International journal of molecular sciences · 2025Review
- The key role of the NUDT3 gene in lung adenocarcinoma progression and its association with the manganese ion metabolism family.Discover oncology · 2025Article
- Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization.Cancer biology & medicine · 2025Review
- Analysis of the Mechanism Underlying Radiotherapy Resistance Caused by Oligodendroglia Cells in Glioblastoma by Applying the Single-cell RNA Sequencing Technology.Current medicinal chemistry · 2025Article
- Tumor-Activated Neutrophils Promote Lung Cancer Progression through the IL-8/PD-L1 Pathway.Current cancer drug targets · 2025Article
- Promotion Mechanisms of Stromal Cell-Mediated Lung Cancer Development Within Tumor Microenvironment.Cancer management and research · 2025Review
- Global research trends of tumor microenvironment in non-small cell lung cancer with epidermal growth factor receptor mutation: a bibliometric analysis from 2014 to 2023.Frontiers in immunology · 2025Article
- The distinct roles of IL-37 and IL-38 in non-small cell lung carcinoma and their clinical implications.Frontiers in immunology · 2025Review
- Identification and Validation of Prognostic Genes Related to Histone Lactylation Modification in Glioblastoma: An Integrated Analysis of Transcriptome and Single-cell RNA Sequencing.Journal of Cancer · 2025Article
- Bioinformatics identification of mitochondria and macrophage polarization-related genes in COPD and their potential mechanisms.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The lung tumor microenvironment, which is composed of heterogeneous cell populations, plays an important role in the progression of lung cancer and is closely related to therapeutic efficacy. Increasing evidence has shown that stromal components play a key role in regulating tumor invasion, metastasis and drug resistance. Therefore, a better understanding of stromal components in the tumor microenvironment is helpful for the diagnosis and treatment of lung cancer. Rapid advances in technology have brought our understanding of disease into the genetic era, and single-cell RNA sequencing has enabled us to describe gene expression profiles with unprecedented resolution, enabling quantitative analysis of gene expression at the single-cell level to reveal the correlations among heterogeneity, signaling pathways, drug resistance and microenvironment molding in lung cancer, which is important for the treatment of this disease. In this paper, several common single-cell RNA sequencing methods and their advantages and disadvantages are briefly introduced to provide a reference for selection of suitable methods. Furthermore, we review the latest progress of single-cell RNA sequencing in the study of stromal cells in the lung tumor microenvironment.
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Registered trials
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.