The study characterizes the lung cancer tumor microenvironment, linking cellular compositions to immunotherapy resistance and potential therapeutic strategies.
By Tarun Sai LomteReviewed by Danielle Ellis, B.Sc.Dec 13 2024 Researchers use spatial transcriptomics to uncover tumor microenvironment patterns linked to treatment response in non-small-cell lung cancer
The TME encompasses diverse stromal and immune cells that contribute to immune escape and tumor growth. Single-cell RNA sequencing has been extensively used to explore resistance-linked features. These studies indicated that while neoadjuvant ICB therapy can partially reprogram the TME and elevate T cell infiltration, the environment remains suppressive, limiting efficacy.
Malignant cells were eliminated in the epithelial cell compartment in responders after ICB-chemotherapy. There were changes in stromal and immune compartments. Cancer cell states were examined using scRNA-seq data. These cells were stratified into 14 subsets and annotated via gene set enrichment analysis. Cell states clustered into two groups. One group comprised cell cycle-related, squamous, and nuclear factor erythroid 2-related factor 2 target cell states.
Related StoriesBy contrast, alcohol dehydrogenase 1B-positive CAFs were enriched in tumor stromal areas. Next, the researchers examined associations between T cells and COL11A1+ CAFs. The abundance of COL11A1+ CAFs around malignant cells correlated negatively with T-cell abundance in all samples containing malignant cells. Further, the team assessed whether the abundance of COL11A1+ CAFs could be a prognostic marker for NSCLC.
Immunotherapy Lung Cancer Cell Cell Cycle Chemotherapy Estrogen Genetics Malignant Non-Small Cell Lung Cancer RNA RNA Sequencing Small Cell Lung Cancer Transcriptomics Tumor
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