Gastric Cancer-Associated Long Non-Coding RNA Profiling and Noninvasive Biomarker Screening Based on a High-Risk Population Cohort

CANCER MEDICINE(2023)

引用 2|浏览51
摘要
Background Effective noninvasive biomarkers of gastric cancer (GC) are critical for early detection and improvement of prognosis. We performed genome-wide long non-coding RNA (lncRNA) microarray analysis to identify and validate novel GC biomarkers depending on a high-risk population cohort.Methods LncRNA profiles were described using the Human LncRNA Microarray between GC and control plasma samples. The differential candidate lncRNAs were validated in two stages by quantitative reverse transcription polymerase chain reaction (qRT-PCR). We further evaluated the joint effect between the GC-associated lncRNA and Helicobacter pylori (H. pylori) infection on the risk of cardia and non-cardia GC, respectively.Results Different lncRNA expression profiles were identified between GC and control plasma with a total of 1206 differential lncRNAs including 470 upregulated and 736 downregulated in GC compared with the control group. The eight significantly upregulated lncRNAs (RP11-521D12.1, AC011995.3, RP11-5P4.3, RP11-244 K5.6, RP11-422 J15.1, CTD-2306 M5.1, CTC-428G20.2, and AC009133.20) in GC cases both in the present study and a similar microarray screening study by our collaborative team were selected for a two-stage validation. After the large sample size validation, the subjects with higher expression of RP11-244 K5.6 showed a significantly increased risk of GC with an adjusted odds ratio (OR) as 2.68 and 95% confidence interval (CI) as 1.15-6.24. Joint effects between RP11-244 K5.6 expression and H. pylori infection on the risk of GC were evaluated with no statistical significance.Conclusions Our study found different lncRNA expression profiles between GC and control plasma and preliminarily identified RP11-244 K5.6 as a potential noninvasive biomarker for GC screening.
更多
查看译文
关键词
biomarkers,gastric cancer,LncRNAs,microarray,plasma
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
0
您的评分 :

暂无评分

数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn