Fatty acid metabolism-related lncRNA prognostic signature for serous ovarian carcinoma
Background: To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). Materials & methods: A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. Results: Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. Conclusion: The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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| Enthalten in: |
Epigenomics - 16(2024), 5 vom: 31. Feb., Seite 309-329 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ye, Lele [VerfasserIn] |
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| Links: |
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| Themen: |
Fatty Acids |
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| Anmerkungen: |
Date Completed 22.02.2024 Date Revised 22.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.2217/epi-2023-0388 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368465349 |
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| 245 | 1 | 0 | |a Fatty acid metabolism-related lncRNA prognostic signature for serous ovarian carcinoma |
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| 500 | |a Date Completed 22.02.2024 | ||
| 500 | |a Date Revised 22.02.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Background: To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). Materials & methods: A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. Results: Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. Conclusion: The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a immunotherapy | |
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| 650 | 4 | |a model | |
| 650 | 4 | |a overall survival | |
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| 700 | 1 | |a Zheng, Mengxia |e verfasserin |4 aut | |
| 700 | 1 | |a Pan, Kan |e verfasserin |4 aut | |
| 700 | 1 | |a Lian, Jingru |e verfasserin |4 aut | |
| 700 | 1 | |a Ju, Bing |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xuefei |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Sangsang |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Gangqiang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Songfa |e verfasserin |4 aut | |
| 700 | 1 | |a Hong, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Weiguo |e verfasserin |4 aut | |
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