Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung adenocarcinoma.
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| Title: | Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung adenocarcinoma. |
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| Authors: | Ruan LJ; Department of Pneumology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.; Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, Putian, Fujian, China., Weng KQ; Department of Urology, The Affiliated Hospital of Putian University, Putian, China., Zhang WY; Center for Vascular Surgery and Interventional Oncology, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China., Zhuang YN; Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, Putian, Fujian, China., Li J; Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, Putian, Fujian, China., Lin LM; Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, Putian, Fujian, China., Chen YT; Department of Oncology, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China., Zeng YM; Department of Pneumology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.; Fujian Key Laboratory of Lung Stem Cells, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China. |
| Source: | Frontiers in immunology [Front Immunol] 2025 Sep 29; Vol. 16, pp. 1651270. Date of Electronic Publication: 2025 Sep 29 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2025.1651270 |
