A Metastasis-Related lncRNA Signature Correlates With the Prognosis in Clear Cell Renal Cell Carcinoma

作者全名："Dou, Qian; Gao, Shun; Gan, Hua; Kang, Zhao; Zhang, Han; Yang, Yichun; Tong, Hang"

作者地址："[Dou, Qian; Gan, Hua; Zhang, Han] Chongqing Med Univ, Affiliated Hosp 1, Dept Nephrol, Chongqing, Peoples R China; [Gao, Shun] Mianyang Cent Hosp, Dept Urol, Mianyang, Sichuan, Peoples R China; [Kang, Zhao] Mianyang Fulin Hosp, Dept Oncol, Mianyang, Sichuan, Peoples R China; [Yang, Yichun] Chongqing Med Univ, Affiliated Hosp 1, Dept Gastroenterol, Chongqing, Peoples R China; [Tong, Hang] Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China"

通信作者："Tong, H (corresponding author), Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000662192700001

JCR分区：Q2

影响因子：4.7

年份：2021

卷号：11

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：clear cell renal cell carcinoma; metastasis; lncRNA; prognostic signature; EMT

摘要："To explore the role of metastasis-related long noncoding RNA (lncRNA) signature for predicting the prognosis of clear cell renal cell carcinoma (ccRCC) patients. Firstly, metastasis-associated genes were identified to establish a metastasis-related lncRNA signature by statistical analysis. Secondly, the ccRCC patients were grouped into high-risk or low-risk group according to the established signature, and the different pathways between the 2 groups were identified by gene set enrichment analysis (GSEA). Finally, investigations involving PCR, transwell migration and invasion assay were carried out to further confirm our findings. The metastasis-related lncRNA signature was successfully constructed according to 7-metastasis-related genes (ADAM12, CD44, IL6, TFPI2, TGF-beta 1, THBS2, TIMP3). The diagnostic efficacy and the clinically predictive capacity of the signature were evaluated. Most of the values of the area under the time-dependent receiver-operating characteristic (ROC) were greater than 0.70. The nomogram constructed by integrating clinical data and risk scores confirmed that the risk score calculated from our signature was a good prognosis predictor. GSEA analysis showed that some tumor-related pathways were enriched in the high-risk group, while metabolism-related pathways were enriched in the low-risk group. In carcinoma tissues, the SSR3-6, WISP1-2 were highly expressed, but the expression of UBAC2-6 was low there. Knocking down SSR3-6 decreased the ability of migration and invasion in ccRCC cells. In conclusion, we successfully constructed a metastasis-related lncRNA signature, which could accurately predict the survival and prognosis of ccRCC patients."

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