Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer
Both ferroptosis and lncRNAs are significant for ovarian cancer (OC). Whereas, the study of ferroptosis-related lncRNAs (FRLs) still few in ovarian cancer. We first constructed an FRL-signature for patients with OC in the study. A total of 548 FRLs were identified for univariate Cox regression analy...
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Frontiers Media S.A.
2022-01-01
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| Series: | Frontiers in Molecular Biosciences |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2021.735871/full |
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| author | Jianfeng Zheng Jianfeng Zheng Jialu Guo Yahui Wang Yingling Zheng Ke Zhang Jinyi Tong Jinyi Tong |
| author_facet | Jianfeng Zheng Jianfeng Zheng Jialu Guo Yahui Wang Yingling Zheng Ke Zhang Jinyi Tong Jinyi Tong |
| author_sort | Jianfeng Zheng |
| collection | DOAJ |
| description | Both ferroptosis and lncRNAs are significant for ovarian cancer (OC). Whereas, the study of ferroptosis-related lncRNAs (FRLs) still few in ovarian cancer. We first constructed an FRL-signature for patients with OC in the study. A total of 548 FRLs were identified for univariate Cox regression analysis, and 21 FRLs with significant prognosis were identified. The prognostic characteristics of nine FRLs was constructed and validated, showing opposite prognosis in two subgroups based on risk scores. The multivariate Cox regression analysis and nomogram further verified the prognostic value of the risk model. By calculating ferroptosis score through ssGSEA, we found that patients with higher risk scores exhibited higher ferroptosis scores, and high ferroptosis score was a risk factor. There were 40 microenvironment cells with significant differences in the two groups, and the difference of Stromal score between the two groups was statistically significant. Six immune checkpoint genes were expressed at different levels in the two groups. In addition, five m6A regulators (FMR1, HNRNPC, METTL16, METTL3, and METTL5) were higher expressed in the low-risk group. GSEA revealed that the risk model was associated with tumor-related pathways and immune-associated pathway. We compared the sensitivity of chemotherapy drugs between the two risk groups. We also explored the co-expression, ceRNA relation, cis and trans interaction of ferroptosis-related genes and lncRNAs, providing a new idea for the regulatory mechanisms of FRLs. Moreover, the nine FRLs were selected for detecting their expression levels in OC cells and tissues. |
| first_indexed | 2024-04-11T17:19:13Z |
| format | Article |
| id | doaj.art-8b400ce975074d7195a9a752789d2762 |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-04-11T17:19:13Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj.art-8b400ce975074d7195a9a752789d27622022-12-22T04:12:32ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2022-01-01810.3389/fmolb.2021.735871735871Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian CancerJianfeng Zheng0Jianfeng Zheng1Jialu Guo2Yahui Wang3Yingling Zheng4Ke Zhang5Jinyi Tong6Jinyi Tong7Department of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, ChinaDepartment of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, ChinaBoth ferroptosis and lncRNAs are significant for ovarian cancer (OC). Whereas, the study of ferroptosis-related lncRNAs (FRLs) still few in ovarian cancer. We first constructed an FRL-signature for patients with OC in the study. A total of 548 FRLs were identified for univariate Cox regression analysis, and 21 FRLs with significant prognosis were identified. The prognostic characteristics of nine FRLs was constructed and validated, showing opposite prognosis in two subgroups based on risk scores. The multivariate Cox regression analysis and nomogram further verified the prognostic value of the risk model. By calculating ferroptosis score through ssGSEA, we found that patients with higher risk scores exhibited higher ferroptosis scores, and high ferroptosis score was a risk factor. There were 40 microenvironment cells with significant differences in the two groups, and the difference of Stromal score between the two groups was statistically significant. Six immune checkpoint genes were expressed at different levels in the two groups. In addition, five m6A regulators (FMR1, HNRNPC, METTL16, METTL3, and METTL5) were higher expressed in the low-risk group. GSEA revealed that the risk model was associated with tumor-related pathways and immune-associated pathway. We compared the sensitivity of chemotherapy drugs between the two risk groups. We also explored the co-expression, ceRNA relation, cis and trans interaction of ferroptosis-related genes and lncRNAs, providing a new idea for the regulatory mechanisms of FRLs. Moreover, the nine FRLs were selected for detecting their expression levels in OC cells and tissues.https://www.frontiersin.org/articles/10.3389/fmolb.2021.735871/fullovarian cancerferroptosislncRNArisk modelimmune |
| spellingShingle | Jianfeng Zheng Jianfeng Zheng Jialu Guo Yahui Wang Yingling Zheng Ke Zhang Jinyi Tong Jinyi Tong Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer Frontiers in Molecular Biosciences ovarian cancer ferroptosis lncRNA risk model immune |
| title | Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer |
| title_full | Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer |
| title_fullStr | Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer |
| title_full_unstemmed | Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer |
| title_short | Bioinformatic Analyses of the Ferroptosis-Related lncRNAs Signature for Ovarian Cancer |
| title_sort | bioinformatic analyses of the ferroptosis related lncrnas signature for ovarian cancer |
| topic | ovarian cancer ferroptosis lncRNA risk model immune |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2021.735871/full |
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