Full description
While there have been therapeutic advancements in treatments for non-small cell lung cancer (NSCLC), our current grasp of the underlying tumour composition and spatial heterogeneity is limited for the roles that these factors have in influencing clinical outcomes to therapies. Here, we performed a multiomic analysis of 61 NSCLC patients treated with adjuvant chemotherapy and curative resection, integrating spatial transcriptomics, spatial proteomics, and deep learning to profile the tumour microenvironment (TME). We identified spatial-metabolic alterations associated with disease recurrence in and between cells in the TME, involving glutamine import, glycolytic, and lipid oxidation pathways. Based on protein expression, we found spatially distinct regions linked to tumour recurrence, implicating specific roles for tumour associated macrophages, metabolic pathways, and major histocompatibility complex (MHC) proteins. Moreover, transcriptomic analysis revealed histology-specific gene expression changes and metabolic and inflammation pathway associations with tumour recurrence. This comprehensive multiomic analysis highlights the complex immunological and metabolic dynamics characteristic of disease recurrence in adjuvant chemotherapy treated NSCLC.Issued: 03 08 2026
Subjects
Adjuvant |
Biomedical and Clinical Sciences |
Cancer |
Cancer Genetics |
Chemotherapy |
Disease |
Inflammation |
Lung cancer |
Oncology and Carcinogenesis |
Transcriptome |
Tumor microenvironment |
eng |
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Other Information
Identifiers
- Local : RDM ID: 3806a07d-3fa3-470d-bd7b-afe1faa643d8
- DOI : 10.48610/DC02C80
