A novel prognostic cancer-related lncRNA signature in papillary renal cell carcinoma

被引:12
作者
Chen, Binghai [1 ]
Dong, Di [1 ]
Yao, Qin [1 ]
Zou, Yuanzhang [1 ]
Hu, Wei [2 ]
机构
[1] Jiangsu Univ, Dept Urol, Affiliated Hosp, Zhenjiang, Jiangsu, Peoples R China
[2] Univ South China, Dept Androl, Affiliated Hosp 1, Hengyang, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Papillary renal cell carcinoma; TCGA; LncRNA; Prognosis; 1; LONG NONCODING RNA; RESISTANCE;
D O I
10.1186/s12935-021-02247-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Papillary renal cell carcinoma (pRCC) ranks second in renal cell carcinoma and the prognosis of pRCC remains poor. Here, we aimed to screen and identify a novel prognostic cancer-related lncRNA signature in pRCC. Methods The RNA-seq profile and clinical feature of pRCC cases were downloaded from TCGA database. Significant cancer-related lncRNAs were obtained from the Immlnc database. Differentially expressed cancer-related lncRNAs (DECRLs) in pRCC were screened for further analysis. Cox regression report was implemented to identify prognostic cancer-related lncRNAs and establish a prognostic risk model, and ROC curve analysis was used to evaluate its precision. The correlation between RP11-63A11.1 and clinical characteristics was further analyzed. Finally, the expression level and role of RP11-63A11.1 were studied in vitro. Results A total of 367 DECRLs were finally screened and 26 prognostic cancer-related lncRNAs were identified. Among them, ten lncRNAs (RP11-573D15.8, LINC01317, RNF144A-AS1, TFAP2A-AS1, LINC00702, GAS6-AS1, RP11-400K9.4, LUCAT1, RP11-63A11.1, and RP11-156L14.1) were independently associated with prognosis of pRCC. These ten lncRNAs were incorporated into a prognostic risk model. In accordance with the median value of the riskscore, pRCC cases were separated into high and low risk groups. Survival analysis indicated that there was a significant difference on overall survival (OS) rate between the two groups. The area under curve (AUC) in different years indicated that the model was of high efficiency in prognosis prediction. RP11-63A11.1 was mainly expressed in renal tissues and it correlated with the tumor stage, T, M, N classifications, OS, PFS, and DSS of pRCC patients. Consistent with the expression in pRCC tissue samples, RP11-63A11.1 was also down-regulated in pRCC cells. More importantly, up-regulation of RP11-63A11.1 attenuated cell survival and induced apoptosis. Conclusions Ten cancer-related lncRNAs were incorporated into a powerful model for prognosis evaluation. RP11-63A11.1 functioned as a cancer suppressor in pRCC and it might be a potential therapeutic target for treating pRCC.
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页数:15
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