New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma
Background: Ferroptosis plays an important role in glioma and significantly affects the prognosis, but the specific mechanism has not yet been elucidated. Recent studies suggest that autophagy regulates the process of ferroptosis. This study aimed to find potential autophagy-ferroptosis genes and ex...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:6574ee52b7e64862a9f542ecab9dd7122021-11-15T06:43:25ZNew Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma2296-634X10.3389/fcell.2021.739097https://doaj.org/article/6574ee52b7e64862a9f542ecab9dd7122021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.739097/fullhttps://doaj.org/toc/2296-634XBackground: Ferroptosis plays an important role in glioma and significantly affects the prognosis, but the specific mechanism has not yet been elucidated. Recent studies suggest that autophagy regulates the process of ferroptosis. This study aimed to find potential autophagy-ferroptosis genes and explore the prognostic significance in glioma.Methods: Ferroptosis and autophagy genes were obtained from two online databases (zhounan.org/ferrdb and autophagy.lu/). The RNAseq data and clinical information were obtained from the Chinese Glioma Genome Atlas (CGGA) database (http://www.cgga.org.cn/). Univariate, multivariate, lasso and Cox regression analysis screened out prognosis-related genes, and a risk model was constructed. Receiver operating characteristic (ROC) curve analysis evaluated the predictive efficiency of the model. Finally, a nomogram was constructed to more accurately predict the prognosis of glioma.Results: We developed a Venn diagram showing 23 autophagy-ferroptosis genes. A total of 660 cases (including RNA sequences and complete clinical information) from two different cohorts (training group n = 413, verification group n = 247) of the CGGA database was acquired. Cohorts were screened to include five prognosis-related genes (MTOR, BID, HSPA5, CDKN2A, GABARAPLA2). Kaplan-Meier curves showed that the risk model was a good prognostic indicator (p < 0.001). ROC analysis showed good efficacy of the risk model. Multivariate Cox analysis also revealed that the risk model was suitable for clinical factors related to prognosis, including type of disease (primary, recurrence), grade (III-IV), age, temozolomide treatment, and 1p19q state. Using the five prognosis-related genes and the risk score, we constructed a nomogram assessed by C-index (0.7205) and a calibration plot that could more accurately predict glioma prognosis.Conclusion: Using a current database of autophagy and ferroptosis genes, we confirmed the prognostic significance of autophagy-ferroptosis genes in glioma, and we constructed a prognostic model to help guide treatment for high grade glioma in the future.Liwei ZhouLiwei ZhouZhengye JiangZhengye JiangZhongjie ShiZhongjie ShiWenpeng ZhaoWenpeng ZhaoZhenwei LuZhenwei LuYuanyuan XieYuanyuan XieBingchang ZhangBingchang ZhangHanwen LuHanwen LuGuowei TanGuowei TanGuowei TanZhanxiang WangZhanxiang WangZhanxiang WangFrontiers Media S.A.articleferroptosisautophagygliomaprognosisrisk modelBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021) |
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| topic |
ferroptosis autophagy glioma prognosis risk model Biology (General) QH301-705.5 |
| spellingShingle |
ferroptosis autophagy glioma prognosis risk model Biology (General) QH301-705.5 Liwei Zhou Liwei Zhou Zhengye Jiang Zhengye Jiang Zhongjie Shi Zhongjie Shi Wenpeng Zhao Wenpeng Zhao Zhenwei Lu Zhenwei Lu Yuanyuan Xie Yuanyuan Xie Bingchang Zhang Bingchang Zhang Hanwen Lu Hanwen Lu Guowei Tan Guowei Tan Guowei Tan Zhanxiang Wang Zhanxiang Wang Zhanxiang Wang New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| description |
Background: Ferroptosis plays an important role in glioma and significantly affects the prognosis, but the specific mechanism has not yet been elucidated. Recent studies suggest that autophagy regulates the process of ferroptosis. This study aimed to find potential autophagy-ferroptosis genes and explore the prognostic significance in glioma.Methods: Ferroptosis and autophagy genes were obtained from two online databases (zhounan.org/ferrdb and autophagy.lu/). The RNAseq data and clinical information were obtained from the Chinese Glioma Genome Atlas (CGGA) database (http://www.cgga.org.cn/). Univariate, multivariate, lasso and Cox regression analysis screened out prognosis-related genes, and a risk model was constructed. Receiver operating characteristic (ROC) curve analysis evaluated the predictive efficiency of the model. Finally, a nomogram was constructed to more accurately predict the prognosis of glioma.Results: We developed a Venn diagram showing 23 autophagy-ferroptosis genes. A total of 660 cases (including RNA sequences and complete clinical information) from two different cohorts (training group n = 413, verification group n = 247) of the CGGA database was acquired. Cohorts were screened to include five prognosis-related genes (MTOR, BID, HSPA5, CDKN2A, GABARAPLA2). Kaplan-Meier curves showed that the risk model was a good prognostic indicator (p < 0.001). ROC analysis showed good efficacy of the risk model. Multivariate Cox analysis also revealed that the risk model was suitable for clinical factors related to prognosis, including type of disease (primary, recurrence), grade (III-IV), age, temozolomide treatment, and 1p19q state. Using the five prognosis-related genes and the risk score, we constructed a nomogram assessed by C-index (0.7205) and a calibration plot that could more accurately predict glioma prognosis.Conclusion: Using a current database of autophagy and ferroptosis genes, we confirmed the prognostic significance of autophagy-ferroptosis genes in glioma, and we constructed a prognostic model to help guide treatment for high grade glioma in the future. |
| format |
article |
| author |
Liwei Zhou Liwei Zhou Zhengye Jiang Zhengye Jiang Zhongjie Shi Zhongjie Shi Wenpeng Zhao Wenpeng Zhao Zhenwei Lu Zhenwei Lu Yuanyuan Xie Yuanyuan Xie Bingchang Zhang Bingchang Zhang Hanwen Lu Hanwen Lu Guowei Tan Guowei Tan Guowei Tan Zhanxiang Wang Zhanxiang Wang Zhanxiang Wang |
| author_facet |
Liwei Zhou Liwei Zhou Zhengye Jiang Zhengye Jiang Zhongjie Shi Zhongjie Shi Wenpeng Zhao Wenpeng Zhao Zhenwei Lu Zhenwei Lu Yuanyuan Xie Yuanyuan Xie Bingchang Zhang Bingchang Zhang Hanwen Lu Hanwen Lu Guowei Tan Guowei Tan Guowei Tan Zhanxiang Wang Zhanxiang Wang Zhanxiang Wang |
| author_sort |
Liwei Zhou |
| title |
New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| title_short |
New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| title_full |
New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| title_fullStr |
New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| title_full_unstemmed |
New Autophagy-Ferroptosis Gene Signature Predicts Survival in Glioma |
| title_sort |
new autophagy-ferroptosis gene signature predicts survival in glioma |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/6574ee52b7e64862a9f542ecab9dd712 |
| work_keys_str_mv |
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| _version_ |
1718428556624658432 |