Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer
Abstract Gastric cancer (GC) is a highly aggressive malignancy associated with poor prognosis, particularly in its advanced stages. Neutrophil extracellular traps (NETs) have been implicated in cancer progression and immune therapy responses; however, the role of NETs-related long non-coding RNAs (l...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-92968-9 |
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| author | Yang-Yang Qian Min Xu Xin-Kun Huang Bin Zhu |
| author_facet | Yang-Yang Qian Min Xu Xin-Kun Huang Bin Zhu |
| author_sort | Yang-Yang Qian |
| collection | DOAJ |
| description | Abstract Gastric cancer (GC) is a highly aggressive malignancy associated with poor prognosis, particularly in its advanced stages. Neutrophil extracellular traps (NETs) have been implicated in cancer progression and immune therapy responses; however, the role of NETs-related long non-coding RNAs (lncRNAs) in GC remains poorly understood. This study used data from the Cancer Genome Atlas (TCGA) and previous research to identify NETs-related lncRNAs in GC. A prognostic signature comprising four NETs-related lncRNAs (NlncSig) was developed and validated, serving as a predictor for patient survival and response to immunotherapy. The NlncSig was correlated with poorer outcomes in high-risk patients and demonstrated that those with lower risk scores exhibited more favorable responses to immunotherapy. In vitro experiments confirmed that LINC01150 enhances GC cell proliferation, migration, and invasion. This robust NlncSig provides a reliable tool for predicting survival and immune characteristics in GC, with the potential to guide personalized therapeutic approaches and improve patient care. |
| format | Article |
| id | doaj-art-930777ffa5ed4561a4c1dba0959690a0 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-930777ffa5ed4561a4c1dba0959690a02025-08-20T03:05:56ZengNature PortfolioScientific Reports2045-23222025-03-0115111610.1038/s41598-025-92968-9Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancerYang-Yang Qian0Min Xu1Xin-Kun Huang2Bin Zhu3Department of Central Laboratory, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical SchoolDepartment of Central Laboratory, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical SchoolDepartment of General Surgery, Affiliated Tumor Hospital of Nantong UniversityDepartment of Central Laboratory, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical SchoolAbstract Gastric cancer (GC) is a highly aggressive malignancy associated with poor prognosis, particularly in its advanced stages. Neutrophil extracellular traps (NETs) have been implicated in cancer progression and immune therapy responses; however, the role of NETs-related long non-coding RNAs (lncRNAs) in GC remains poorly understood. This study used data from the Cancer Genome Atlas (TCGA) and previous research to identify NETs-related lncRNAs in GC. A prognostic signature comprising four NETs-related lncRNAs (NlncSig) was developed and validated, serving as a predictor for patient survival and response to immunotherapy. The NlncSig was correlated with poorer outcomes in high-risk patients and demonstrated that those with lower risk scores exhibited more favorable responses to immunotherapy. In vitro experiments confirmed that LINC01150 enhances GC cell proliferation, migration, and invasion. This robust NlncSig provides a reliable tool for predicting survival and immune characteristics in GC, with the potential to guide personalized therapeutic approaches and improve patient care.https://doi.org/10.1038/s41598-025-92968-9Gastric cancerNETsLncRNAPrognostic modelLINC01150 |
| spellingShingle | Yang-Yang Qian Min Xu Xin-Kun Huang Bin Zhu Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer Scientific Reports Gastric cancer NETs LncRNA Prognostic model LINC01150 |
| title | Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer |
| title_full | Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer |
| title_fullStr | Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer |
| title_full_unstemmed | Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer |
| title_short | Bioinformatic analysis indicated that LINC01150 might be a novel neutrophil extracellular traps-related biomarker of gastric cancer |
| title_sort | bioinformatic analysis indicated that linc01150 might be a novel neutrophil extracellular traps related biomarker of gastric cancer |
| topic | Gastric cancer NETs LncRNA Prognostic model LINC01150 |
| url | https://doi.org/10.1038/s41598-025-92968-9 |
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