4.7 Article

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

期刊

CANCER CELL INTERNATIONAL
卷 21, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12935-021-02247-6

关键词

Papillary renal cell carcinoma; TCGA; LncRNA; Prognosis; 1

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资金

  1. National Natural Science Foundation of China [81402100]
  2. Natural Science Foundation of Jiangsu Province [BK20211123]
  3. Social Development Foundation of Zhenjiang [SH2021033]
  4. Natural Science Foundation of Hunan Province [2019JJ40269]

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A total of 367 differentially expressed cancer-related lncRNAs were screened, and 26 prognostic cancer-related lncRNAs were identified in pRCC. Among them, ten lncRNAs were independently associated with prognosis of pRCC and were incorporated into a prognostic risk model. The lncRNA RP11-63A11.1 acted as a cancer suppressor in pRCC and may serve as a potential therapeutic target for treating pRCC.
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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