ArticleExperimental & molecular medicine2022
Delineating the dynamic evolution from preneoplasia to invasive lung adenocarcinoma by integrating single-cell RNA sequencing and spatial transcriptomics.
Article in Experimental & molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.
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Who cites it
143 citing papers in PubMed, 176 citations in OpenAlex.
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- Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.Translational oncology · 2026Article
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- Deciphering lung cancer at high resolution: a narrative review of applications of single-cell and spatial transcriptomics sequencing.Translational lung cancer research · 2026Review
- Identifying Epithelial-Cell Progression Signatures (ECPSs) from Multi-Resolution Multi-Omics Data for Translational Clinical Applications in Lung Adenocarcinoma.International journal of molecular sciences · 2026Article
- Shengxian decoction suppresses malignant progression of lung adenocarcinoma by enhancing CD8Chinese medicine · 2026Article
- Integrating Single-Cell, Bulk, and Spatial Transcriptomics Unveils a Novel Ribosome Biogenesis-Related Prognostic Model and DefinesInternational journal of molecular sciences · 2026Article
- Condition-Associated Pattern Extraction and Recovery From Multi-Condition Single-Cell RNA-seq Data With CAPER.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Bulk and single-cell transcriptomics reveal prognostic signatures of phosphoinositide metabolism in lung adenocarcinoma.Scientific reports · 2026Article
- The Relationship Between Pulmonary Spiculation and Central Fibrosis, Along With Other Clinicopathological Features, in Invasive Lung Adenocarcinoma and Its Prognostic Significance.Thoracic cancer · 2026Article
- Integrative multi-omics analysis identifies a circadian rhythm-associated gene signature for prognosis and therapeutic stratification in lung adenocarcinoma.Discover oncology · 2026Article
- ABCC2 as a novel therapeutic target in lung adenocarcinoma: a machine learning-driven discovery linking ammonia metabolism to prognosis and drug resistance.Journal of translational medicine · 2026Article
- Spatial and single-cell transcriptomic profiling reveals interplay between SRGN-associated epithelial programs and C1QC+ macrophages in early LUAD progression.Journal of translational medicine · 2026Article
- Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment.Cell reports. Medicine · 2026Article
- Single-cell and spatial transcriptomics reveal an arachidonic acid-related cellular atlas in lung adenocarcinoma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Fibroblast-derived HSD11B1 deficiency drives lung cancer in never-smokers through steroid metabolic imbalance.NPJ precision oncology · 2026Article
- A Multi-Omics Framework Reveals Tumor Heterogeneity and Predicts Therapeutic Targets in Renal Cell Carcinoma.International journal of molecular sciences · 2026Article
- Integrated single-cell and bulk RNA sequencing reveals novel biomarkers of invasive adenocarcinoma subtypes in lung adenocarcinoma.Translational cancer research · 2026Article
- Identification of prognostic biomarkers and immunotherapy response predictors in lung adenocarcinoma: integrative Mendelian randomization and machine learning analysis.Translational lung cancer research · 2026Article
83 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
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Abstract
The cell ecology and spatial niche implicated in the dynamic and sequential process of lung adenocarcinoma (LUAD) from adenocarcinoma in situ (AIS) to minimally invasive adenocarcinoma (MIA) and subsequent invasive adenocarcinoma (IAC) have not yet been elucidated. Here, we performed an integrative analysis of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to characterize the cell atlas of the invasion trajectory of LUAD. We found that the UBE2C + cancer cell subpopulation constantly increased during the invasive process of LUAD with remarkable elevation in IAC, and its spatial distribution was in the peripheral cancer region of the IAC, representing a more malignant phenotype. Furthermore, analysis of the TME cell type subpopulation showed a constant decrease in mast cells, monocytes, and lymphatic endothelial cells, which were implicated in the whole process of invasive LUAD, accompanied by an increase in NK cells and MALT B cells from AIS to MIA and an increase in Tregs and secretory B cells from MIA to IAC. Notably, for AIS, cancer cells, NK cells, and mast cells were colocalized in the cancer region; however, for IAC, Tregs colocalized with cancer cells. Finally, communication and interaction between cancer cells and TME cell-induced constitutive activation of TGF-β signaling were involved in the invasion of IAC. Therefore, our results reveal the specific cellular information and spatial architecture of cancer cells and TME subpopulations, as well as the cellular interaction between them, which will facilitate the identification and development of precision medicine in the invasive process of LUAD from AIS to IAC.
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