A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma
文献类型：期刊论文
| 作者 | Shu, Qi1; Zhou, Yi2; Zhu, Zhengjie1; Chen, Xi1; Fang, Qilu1; Zhong, Like1; Chen, Zhuo1; Fang, Luo1 |
| 刊名 | FRONTIERS IN GENETICS
 |
| 出版日期 | 2022-04-29 |
| 卷号 | 13 |
| 关键词 | cutaneous melanoma autophagy-related lncRNAs immune infiltration landscape risk model prognosis |
| DOI | 10.3389/fgene.2022.885391 |
| 通讯作者 | Fang, Luo(fangluo@zjcc.org.cn) |
| 英文摘要 | Cutaneous melanoma (CM) is a malignant tumor with a high incidence rate and poor prognosis. Autophagy plays an essential role in the development of CM; however, the role of autophagy-related long noncoding RNAs (lncRNAs) in this process remains unknown. Human autophagy-related genes were extracted from the Human Autophagy Gene Database and screened for autophagy-related lncRNAs using Pearson correlation. Multivariate Cox regression analysis was implemented to identify ten autophagy-related lncRNAs associated with prognosis, and a risk model was constructed. The Kaplan-Meier survival curve showed that the survival probability of the high-risk group was lower than that of the low-risk group. A novel predictive model was constructed to investigate the independent prognostic value of the risk model. The nomogram results showed that the risk score was an independent prognostic signature that distinguished it from other clinical characteristics. The immune infiltration landscape of the low-risk and high-risk groups was further investigated. The low-risk groups displayed higher immune, stromal, and ESTIMATE scores and lower tumor purity. The CIBERSORT and single sample gene set enrichment analysis (ssGSEA) algorithms indicated a notable gap in immune cells between the low- and high-risk groups. Ten autophagy-related lncRNAs were significantly correlated with immune cells. Finally, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) results demonstrated that autophagy-related lncRNA-mediated and immune-related signaling pathways are crucial factors in regulating CM. Altogether, these data suggest that constructing a risk model based on ten autophagy-related lncRNAs can accurately predict prognosis and indicate the tumor microenvironment of patients with CM. Thus, our study provides a new perspective for the future clinical treatment of CM. |
| WOS关键词 | TUMOR PURITY ; CANCER ; MICROENVIRONMENT ; PROGRESSION ; EXPRESSION ; CARCINOMA ; STRESS ; CELLS |
| 资助项目 | Natural Science Foundation of Zhejiang Province[LYY19H310002] ; Natural Science Foundation of Zhejiang Province[LYY18H310006] |
| WOS研究方向 | Genetics & Heredity |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000795641000001 |
| 资助机构 | Natural Science Foundation of Zhejiang Province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130975]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Fang, Luo |
| 作者单位 | 1.Univ Chinese Acad Sci, Zhejiang Canc Hosp, Inst Basic Med & Canc IBMC, Chinese Acad Sci,Canc Hosp, Hangzhou, Peoples R China 2.First Peoples Hosp Linping Dist, Dept Pharm, Hangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shu, Qi,Zhou, Yi,Zhu, Zhengjie,et al. A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma[J]. FRONTIERS IN GENETICS,2022,13. |
| APA | Shu, Qi.,Zhou, Yi.,Zhu, Zhengjie.,Chen, Xi.,Fang, Qilu.,...&Fang, Luo.(2022).A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma.FRONTIERS IN GENETICS,13. |
| MLA | Shu, Qi,et al."A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma".FRONTIERS IN GENETICS 13(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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