Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma
Abstract As one of the leading causes of death worldwide, lung adenocarcinoma (LUAD) currently lacks satisfactory treatment outcomes. The inflammatory process, closely associated with the formation of the tumor microenvironment and immune evasion, plays a crucial role in LUAD development. This study...
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| Format: | Article |
| Language: | English |
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Springer
2025-05-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-02513-3 |
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| author | Xuelei Hu Tengfei Jiang Jinxiang Wang |
| author_facet | Xuelei Hu Tengfei Jiang Jinxiang Wang |
| author_sort | Xuelei Hu |
| collection | DOAJ |
| description | Abstract As one of the leading causes of death worldwide, lung adenocarcinoma (LUAD) currently lacks satisfactory treatment outcomes. The inflammatory process, closely associated with the formation of the tumor microenvironment and immune evasion, plays a crucial role in LUAD development. This study utilized data from public databases to analyze inflammation-related genes (INF) associated with prognosis in LUAD. Based on differentially expressed INF, molecular subtypes of LUAD were identified. Subsequently, a novel INF scoring system was developed to establish a prognostic model for LUAD patients, assessing its independence and reliability. Comprehensive evaluations, including immune microenvironment infiltration features, somatic mutation characteristics, and differences in immune therapy responsiveness, were conducted to characterize the prognostic model associated with INF. We further selected MMP14 from the screened INF targets for further in vitro experiments. Experiments such as western blot, qRT-PCR, colony-forming assay and Transwell assay confirmed that downregulation of MMP14 could inhibit the cloning, proliferation and invasion of lung cancer cells, thus confirming the results of bioinformatics. Our findings provide evidence from a new perspective on the role of inflammation in LUAD and offer new insights for clinical precision and personalized therapy. |
| format | Article |
| id | doaj-art-20a54c9f572b4dd5af6e2d067ba890a7 |
| institution | OA Journals |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-20a54c9f572b4dd5af6e2d067ba890a72025-08-20T01:53:19ZengSpringerDiscover Oncology2730-60112025-05-0116111910.1007/s12672-025-02513-3Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinomaXuelei Hu0Tengfei Jiang1Jinxiang Wang2Department of Thoracic Surgery, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong UniversityMedical Laboratory Center, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong UniversityDepartment of Respiratory and Critical Care Medicine, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong UniversityAbstract As one of the leading causes of death worldwide, lung adenocarcinoma (LUAD) currently lacks satisfactory treatment outcomes. The inflammatory process, closely associated with the formation of the tumor microenvironment and immune evasion, plays a crucial role in LUAD development. This study utilized data from public databases to analyze inflammation-related genes (INF) associated with prognosis in LUAD. Based on differentially expressed INF, molecular subtypes of LUAD were identified. Subsequently, a novel INF scoring system was developed to establish a prognostic model for LUAD patients, assessing its independence and reliability. Comprehensive evaluations, including immune microenvironment infiltration features, somatic mutation characteristics, and differences in immune therapy responsiveness, were conducted to characterize the prognostic model associated with INF. We further selected MMP14 from the screened INF targets for further in vitro experiments. Experiments such as western blot, qRT-PCR, colony-forming assay and Transwell assay confirmed that downregulation of MMP14 could inhibit the cloning, proliferation and invasion of lung cancer cells, thus confirming the results of bioinformatics. Our findings provide evidence from a new perspective on the role of inflammation in LUAD and offer new insights for clinical precision and personalized therapy.https://doi.org/10.1007/s12672-025-02513-3InflammationLung adenocarcinomaPrognostic valueImmune microenvironmentMMP14 |
| spellingShingle | Xuelei Hu Tengfei Jiang Jinxiang Wang Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma Discover Oncology Inflammation Lung adenocarcinoma Prognostic value Immune microenvironment MMP14 |
| title | Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma |
| title_full | Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma |
| title_fullStr | Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma |
| title_full_unstemmed | Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma |
| title_short | Molecular subtype characteristics and development of prognostic model based on inflammation-related gene in lung adenocarcinoma |
| title_sort | molecular subtype characteristics and development of prognostic model based on inflammation related gene in lung adenocarcinoma |
| topic | Inflammation Lung adenocarcinoma Prognostic value Immune microenvironment MMP14 |
| url | https://doi.org/10.1007/s12672-025-02513-3 |
| work_keys_str_mv | AT xueleihu molecularsubtypecharacteristicsanddevelopmentofprognosticmodelbasedoninflammationrelatedgeneinlungadenocarcinoma AT tengfeijiang molecularsubtypecharacteristicsanddevelopmentofprognosticmodelbasedoninflammationrelatedgeneinlungadenocarcinoma AT jinxiangwang molecularsubtypecharacteristicsanddevelopmentofprognosticmodelbasedoninflammationrelatedgeneinlungadenocarcinoma |