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鉴定肾细胞癌的新型预后生物标志物。

Identification of novel prognostic biomarkers in renal cell carcinoma.

机构信息

Department of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, Jiangsu, China.

出版信息

Aging (Albany NY). 2020 Nov 21;12(24):25304-25318. doi: 10.18632/aging.104131.

DOI:10.18632/aging.104131
PMID:33234734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7803519/
Abstract

OBJECTIVE

To identify novel prognostic biomarkers in renal cell carcinoma (RCC).

RESULTS

12 coding genes and one miRNA were finally identified as prognostic biomarkers. All of them were related to a poor prognosis. Lower expression levels of the coding genes were observed in higher clinical stages. Prognostic signatures including 7 biomarkers were identified. Patients in the high-risk group had worse survival than those in the low-risk group. The areas under the curves in different years indicated that it was a valuable signature in prognosis. It was found that elevated WDR72 inhibited the survival and invasion of 786-O and 769P cells .

CONCLUSIONS

Thirteen prognostic biomarkers of RCC were identified. Among them, 7 biomarkers comprised a signature to evaluate the RCC prognosis. WDR72 was a cancer suppressor and a potential therapeutic target in RCC.

METHODS

Differentially expressed genes/miRNAs (DEGs/DEMs) and prognosis-related genes/miRNAs were acquired from public database. Prognostic biomarkers were identified by overlapping the significant DEGs/DEMs and prognosis-related genes/miRNAs. The associations between these biomarkers and the clinical stages were analyzed. All of these prognostic biomarkers were further investigated with multi-variable Cox regression. Finally, the inhibitory effect of WDR72 on the growth and invasion of RCC cells was studied.

摘要

目的

鉴定肾细胞癌（RCC）的新型预后生物标志物。

结果

最终确定了 12 个编码基因和 1 个 miRNA 作为预后生物标志物。所有这些基因都与预后不良有关。在较高的临床分期中观察到编码基因的表达水平较低。鉴定出包括 7 个生物标志物的预后特征。高风险组的患者比低风险组的患者生存更差。不同年份的曲线下面积表明，这是一种有价值的预后特征。研究发现，WDR72 的升高抑制了 786-O 和 769P 细胞的存活和侵袭。

结论

鉴定出 13 个 RCC 的预后生物标志物。其中，7 个生物标志物组成了一个评估 RCC 预后的特征。WDR72 是 RCC 中的一种抑癌基因和潜在的治疗靶点。

方法

从公共数据库中获取差异表达基因/miRNA（DEGs/DEMs）和与预后相关的基因/miRNA。通过重叠显著的 DEGs/DEMs 和与预后相关的基因/miRNA，鉴定预后生物标志物。分析这些生物标志物与临床分期的关系。所有这些预后生物标志物都进一步用多变量 Cox 回归进行了研究。最后，研究了 WDR72 对 RCC 细胞生长和侵袭的抑制作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/cce3cd0efd10/aging-12-104131-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/ca0210a8c83f/aging-12-104131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/60b1aa45a60a/aging-12-104131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/fc63787c3e11/aging-12-104131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/2322b2bd21ab/aging-12-104131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/ea22f84059dc/aging-12-104131-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/3f589164a9d4/aging-12-104131-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/b0870f6597f3/aging-12-104131-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/cce3cd0efd10/aging-12-104131-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/ca0210a8c83f/aging-12-104131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/60b1aa45a60a/aging-12-104131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/fc63787c3e11/aging-12-104131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/2322b2bd21ab/aging-12-104131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/ea22f84059dc/aging-12-104131-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/3f589164a9d4/aging-12-104131-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/b0870f6597f3/aging-12-104131-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6dc/7803519/cce3cd0efd10/aging-12-104131-g008.jpg

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