{"title":"Single-Cell Sequencing Has Revealed the Palmitoylation Landscape in Lung Adenocarcinoma and Identified ABHD17C as a Novel Biomarker.","authors":"Benliang Wei, Anhong Li, Guofa Zhao, Rongfang Liu, Peng Liu, Xu Zhang, Fangchao Zhao, Shujun Li, Xinyue Zhang, Xuguang Zhang","doi":"10.1016/j.ajpath.2025.05.024","DOIUrl":null,"url":null,"abstract":"<p><p>Protein S-palmitoylation, a reversible posttranslational modification, is crucial for tumor progression. However, the palmitoylation landscape in tumor cells and its variability within different tumor cell populations remain underexplored. We analyzed protein palmitoylation using 23 palmitoyl-acyltransferases and 7 de-palmitoyl-acyltransferases. Through copy number variation, pseudotime, enrichment, and cell-cell communication analyses, we explored heterogeneity among epithelial cells in lung adenocarcinoma. Palmitoylation levels are elevated in normal epithelial cells, whereas depalmitoylation predominates in tumor-derived cells. As clinical stage advances, palmitoylation declines and depalmitoylation increases. We identified a C4 epithelial subtype associated with epithelial-to-mesenchymal transition and angiogenesis, marked by low palmitoylation and high depalmitoylation. This subtype, located at the end of the tumorigenic trajectory, shows intense communication with fibroblasts and endothelial cells but minimal interaction with immune cells, indicating enhanced invasiveness and immune evasion. ABHD17C, a key marker of the C4 subtype, was found to regulate tumor cell proliferation, and its knockdown reduced growth and increased apoptosis. We identified a C4 epithelial subtype linked to lung adenocarcinoma metastasis and highlighted ABHD17C as a potential biomarker and therapeutic target.</p>","PeriodicalId":7623,"journal":{"name":"American Journal of Pathology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajpath.2025.05.024","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Protein S-palmitoylation, a reversible posttranslational modification, is crucial for tumor progression. However, the palmitoylation landscape in tumor cells and its variability within different tumor cell populations remain underexplored. We analyzed protein palmitoylation using 23 palmitoyl-acyltransferases and 7 de-palmitoyl-acyltransferases. Through copy number variation, pseudotime, enrichment, and cell-cell communication analyses, we explored heterogeneity among epithelial cells in lung adenocarcinoma. Palmitoylation levels are elevated in normal epithelial cells, whereas depalmitoylation predominates in tumor-derived cells. As clinical stage advances, palmitoylation declines and depalmitoylation increases. We identified a C4 epithelial subtype associated with epithelial-to-mesenchymal transition and angiogenesis, marked by low palmitoylation and high depalmitoylation. This subtype, located at the end of the tumorigenic trajectory, shows intense communication with fibroblasts and endothelial cells but minimal interaction with immune cells, indicating enhanced invasiveness and immune evasion. ABHD17C, a key marker of the C4 subtype, was found to regulate tumor cell proliferation, and its knockdown reduced growth and increased apoptosis. We identified a C4 epithelial subtype linked to lung adenocarcinoma metastasis and highlighted ABHD17C as a potential biomarker and therapeutic target.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.