Song Silu, Zhu Yanli, Zhang Xue, Chen Siyu, Liu Shuang
Key Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Front Oncol. 2023 Feb 20;13:1085464. doi: 10.3389/fonc.2023.1085464. eCollection 2023.
Recent studies have shown that long non-coding RNAs are closely related to the occurrence and development of prostate cancer bone metastasis, and can be used as biomarkers to predict the prognosis of patients. Therefore, this study aimed to systematically evaluate the relationship between the expression levels of long non-coding RNAs and the prognosis of patients.
The studies of lncRNA in prostate cancer bone metastasis from Pubmed, Cochrane library, Embase, Ebsco, Web of science, Scopus, Ovid databases were analyzed, and Stata 15 was used for meta-analysis. Associations between lncRNA expression and patients' overall survival (OS) and bone metastasis-free survival (BMFS) were assessed by correlation analysis with pooled hazard ratios (HR) and 95% confidence intervals (CI). Furthermore, the results were validated using GEPIA2 and UALCAN, online database based on TCGA. Subsequently, the molecular mechanisms of the included lncRNAs were predicted based on the LncACTdb 3.0 database and the lnCAR database. Finally, we used clinical samples to validate lncRNAs that were significantly different in both databases.
A total of 5 published studies involving 474 patients were included in this meta-analysis. The results showed that lncRNA overexpression was significantly associated with lower OS (HR = 2.55, 95% CI: 1.69 - 3.99, < 0.05) and lower BMFS (OR = 3.16, 95% CI: 1.90 - 5.27, < 0.05) in patients with prostate cancer bone metastasis. Based on validation from the GEPIA2 and UALCAN online databases, SNHG3 and NEAT1 were significantly up-regulated in prostate cancer. Further functional prediction showed that the lncRNAs included in the study were involved in regulating the occurrence and development of prostate cancer through the ceRNA axis. The result of clinical samples showed that SNHG3 and NEAT1 were expressed in prostate cancer bone metastasis at higher levels than in primary tumors.
LncRNA can be used as a novel predictive biomarker for predicting poor prognosis in patients with prostate cancer bone metastasis, which is worthy of clinical validation.
近期研究表明,长链非编码RNA与前列腺癌骨转移的发生发展密切相关,可作为预测患者预后的生物标志物。因此,本研究旨在系统评估长链非编码RNA表达水平与患者预后的关系。
分析来自Pubmed、Cochrane图书馆、Embase、Ebsco、Web of science、Scopus、Ovid数据库中关于lncRNA在前列腺癌骨转移方面的研究,并使用Stata 15进行荟萃分析。通过合并风险比(HR)和95%置信区间(CI)的相关性分析评估lncRNA表达与患者总生存期(OS)和无骨转移生存期(BMFS)之间的关联。此外,使用基于TCGA的在线数据库GEPIA2和UALCAN对结果进行验证。随后,基于LncACTdb 3.0数据库和lnCAR数据库预测纳入的lncRNAs的分子机制。最后,我们使用临床样本验证在两个数据库中均有显著差异的lncRNAs。
本荟萃分析共纳入5项已发表的研究,涉及474例患者。结果显示,lncRNA过表达与前列腺癌骨转移患者较低的OS(HR = 2.55,95% CI:1.69 - 3.99,< 0.05)和较低的BMFS(OR = 3.16,95% CI:1.90 - 5.27,< 0.05)显著相关。基于GEPIA2和UALCAN在线数据库的验证,SNHG3和NEAT1在前列腺癌中显著上调。进一步的功能预测表明,本研究中纳入的lncRNAs通过ceRNA轴参与调节前列腺癌的发生发展。临床样本结果显示,SNHG3和NEAT1在前列腺癌骨转移中的表达水平高于原发性肿瘤。
LncRNA可作为预测前列腺癌骨转移患者预后不良的新型预测生物标志物,值得临床验证。