小核仁 RNA 宿主基因 25 是一种长非编码 RNA，有助于诊断和预测前列腺癌的结局。

Small nucleolar RNA host gene 25 is a long non-coding RNA helps diagnose and predict outcomes in prostate cancer.

机构信息

Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu Province China.

Department of Reproductive Medicine Center, the First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu Province China.

出版信息

Cancer Treat Res Commun. 2023;35:100687. doi: 10.1016/j.ctarc.2023.100687. Epub 2023 Jan 24.

DOI:10.1016/j.ctarc.2023.100687

PMID:36706513

Abstract

BACKGROUND

The role of a long non-coding RNA called small nucleolar RNA host gene 25 (SNHG25) has been studied in some tumor types but the correlation between SNHG25 and PCA remains unknown.

METHODS

The relationship between clinicopathologic characteristics and SNHG25 expression was evaluated using The Cancer Genome Atlas data. The binary classifier value of SNHG25 was calculated using areas under receiver operating characteristic (ROC) curves. Outcomes were evaluated using Kaplan-Meier and Cox regression analyses. Gene set enrichment was performed to identify potential SNHG25 functions.

RESULTS

SNHG25 expression was significantly increased in PCA and correlated with age, primary therapy outcome, N stage, Gleason score, and residual tumor (p < 0.05). ROC curves demonstrated the effect of SNHG25 on diagnosis and outcomes (area under the curve = 0.923). Higher SNHG25 expression predicted shorter progression-free interval (PFI) (p < 0.001), and Cox regression showed that SNHG25 expression was an independent risk factor for reduced PFI (p = 0.028). SNHG25 expression was associated with mRNA and protein metabolism.

CONCLUSIONS

SNHG25 expression increases significantly in PCA and is negatively associated with PFI. It is a potential diagnostic and prognostic biomarker in PCA.

摘要

背景

一种名为小核仁 RNA 宿主基因 25（SNHG25）的长非编码 RNA 的作用在某些肿瘤类型中得到了研究，但 SNHG25 与 PCA 之间的相关性尚不清楚。

方法

使用癌症基因组图谱数据评估 SNHG25 表达与临床病理特征之间的关系。使用受试者工作特征（ROC）曲线下面积计算 SNHG25 的二进制分类器值。使用 Kaplan-Meier 和 Cox 回归分析评估结果。进行基因集富集以确定 SNHG25 的潜在功能。

结果

SNHG25 在 PCA 中表达显著增加，与年龄、初始治疗效果、N 分期、Gleason 评分和残余肿瘤有关（p<0.05）。ROC 曲线表明 SNHG25 对诊断和结果的影响（曲线下面积=0.923）。较高的 SNHG25 表达预示着较短的无进展间隔（PFI）（p<0.001），Cox 回归表明 SNHG25 表达是 PFI 降低的独立危险因素（p=0.028）。SNHG25 表达与 mRNA 和蛋白质代谢有关。