ArticleNature communications2025
Oncogenic driver mutations underlie the spatial tumour immune landscape of non-small cell lung cancer.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A spatial immune scoring system based on the tumor microenvironment features improves prognostic stratification in lung adenocarcinoma.Translational oncology · 2026Article
- Immune Regulation and the Role of Extracellular Vesicles in Non-Small Cell Lung Cancer: Biological Mechanisms and Therapeutic Perspectives.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Improvement of prognosis among patients with lung adenocarcinoma through precision therapy: analysis based on The Cancer Genome Atlas.Translational cancer research · 2026Article
- Targetable driver gene-tumor immune microenvironment axis in non-small cell lung cancer: from molecular pathological mechanisms to precision immunotherapy stratification strategies.Frontiers in immunology · 2026Review
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Authors and funding
17 authors.
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Abstract
Lung adenocarcinoma (LUAD) is a molecularly diverse form of lung cancer characterized by distinct oncogenic driver mutations that influence both tumour biology and clinical outcomes. Understanding the interplay between these oncogenic drivers and the tumour microenvironment (TME) is crucial for improving therapeutic strategies and patient management. Here, we investigate the impact of driver mutations on the composition and spatial architecture of the TME in LUAD. Using imaging mass cytometry (IMC), we analyse tumour samples from 157 LUAD patients, integrating genomic and clinical data to link specific mutations with tumour characteristics. Unique patterns are associated with mutated KRAS and EGFR tumours with TP53 co-mutations, suggesting these co-mutations reshape the TME and promote resistance to tyrosine kinase inhibitors (TKIs). Overall, our findings highlight the complex interplay between oncogenic driver mutations and the TME in LUAD, underscoring the importance of integrating genomic and cellular data to understand the underlying tumour behaviour and prognosis.
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