An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients
Long non-coding RNAs (lncRNAs) can influence the proliferation, autophagy, and apoptosis of non-small cell lung cancer (NSCLC). LncRNAs also emerge as valuable prognostic factors for NSCLC patients. Consequently, we set out to discover more autophagy-associated lncRNAs. We acquired autophagy-associa...
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| Format: | Article |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.919857/full |
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| author | Jing Hu Jing Hu Jing Hu Jing Hu Jing Hu Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Di Zhang Di Zhang Di Zhang Di Zhang Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Yue Yu Yue Yu Yue Yu Yue Yu Jie Ge Jie Ge Jie Ge Jie Ge |
| author_facet | Jing Hu Jing Hu Jing Hu Jing Hu Jing Hu Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Di Zhang Di Zhang Di Zhang Di Zhang Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Yue Yu Yue Yu Yue Yu Yue Yu Jie Ge Jie Ge Jie Ge Jie Ge |
| author_sort | Jing Hu |
| collection | DOAJ |
| description | Long non-coding RNAs (lncRNAs) can influence the proliferation, autophagy, and apoptosis of non-small cell lung cancer (NSCLC). LncRNAs also emerge as valuable prognostic factors for NSCLC patients. Consequently, we set out to discover more autophagy-associated lncRNAs. We acquired autophagy-associated genes and information on lncRNAs from The Cancer Genome Atlas database (TCGA), and the Human Autophagy Database (HADb). Then, the prognostic prediction signature was constructed through using co-expression and Cox regression analysis. The signature was constructed including 7 autophagy-associated lncRNAs (ABALON, NKILA, LINC00941, AL161431.1, AL691432.2, AC020765.2, MMP2-AS1). After that, we used univariate and multivariate Cox regression analysis to calculate the risk score. The survival analysis and ROC curve analysis confirmed good performances of the signature. GSEA indicated that the high-risk group was principally enriched in the adherens junction pathway. In addition, biological experiments showed that ABALON promoted the proliferation, metastasis and autophagy levels of NSCLC cells. These findings demonstrate that the risk signature consisting of 7 autophagy-associated lncRNAs accurately predicts the prognosis of NSCLC patients and should be investigated for potential therapeutic targets in clinic. |
| first_indexed | 2024-12-10T08:01:17Z |
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| id | doaj.art-dbfa38d9b6024e9390ce4ac2c24e6f3d |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-10T08:01:17Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Genetics |
| spelling | doaj.art-dbfa38d9b6024e9390ce4ac2c24e6f3d2022-12-22T01:56:47ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-09-011310.3389/fgene.2022.919857919857An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patientsJing Hu0Jing Hu1Jing Hu2Jing Hu3Jing Hu4Pei-Jin Zhang5Pei-Jin Zhang6Pei-Jin Zhang7Pei-Jin Zhang8Di Zhang9Di Zhang10Di Zhang11Di Zhang12Zhao-Hui Chen13Zhao-Hui Chen14Zhao-Hui Chen15Zhao-Hui Chen16Xu-Chen Cao17Xu-Chen Cao18Xu-Chen Cao19Xu-Chen Cao20Yue Yu21Yue Yu22Yue Yu23Yue Yu24Jie Ge25Jie Ge26Jie Ge27Jie Ge28The First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaBeijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaLong non-coding RNAs (lncRNAs) can influence the proliferation, autophagy, and apoptosis of non-small cell lung cancer (NSCLC). LncRNAs also emerge as valuable prognostic factors for NSCLC patients. Consequently, we set out to discover more autophagy-associated lncRNAs. We acquired autophagy-associated genes and information on lncRNAs from The Cancer Genome Atlas database (TCGA), and the Human Autophagy Database (HADb). Then, the prognostic prediction signature was constructed through using co-expression and Cox regression analysis. The signature was constructed including 7 autophagy-associated lncRNAs (ABALON, NKILA, LINC00941, AL161431.1, AL691432.2, AC020765.2, MMP2-AS1). After that, we used univariate and multivariate Cox regression analysis to calculate the risk score. The survival analysis and ROC curve analysis confirmed good performances of the signature. GSEA indicated that the high-risk group was principally enriched in the adherens junction pathway. In addition, biological experiments showed that ABALON promoted the proliferation, metastasis and autophagy levels of NSCLC cells. These findings demonstrate that the risk signature consisting of 7 autophagy-associated lncRNAs accurately predicts the prognosis of NSCLC patients and should be investigated for potential therapeutic targets in clinic.https://www.frontiersin.org/articles/10.3389/fgene.2022.919857/fullautophagylncRNAsNSCLCTCGAprognostic signature |
| spellingShingle | Jing Hu Jing Hu Jing Hu Jing Hu Jing Hu Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Pei-Jin Zhang Di Zhang Di Zhang Di Zhang Di Zhang Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Zhao-Hui Chen Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Xu-Chen Cao Yue Yu Yue Yu Yue Yu Yue Yu Jie Ge Jie Ge Jie Ge Jie Ge An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients Frontiers in Genetics autophagy lncRNAs NSCLC TCGA prognostic signature |
| title | An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients |
| title_full | An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients |
| title_fullStr | An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients |
| title_full_unstemmed | An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients |
| title_short | An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients |
| title_sort | autophagy associated lncrnas model for predicting the survival in non small cell lung cancer patients |
| topic | autophagy lncRNAs NSCLC TCGA prognostic signature |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.919857/full |
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