乳腺癌
长非编码RNA
生物
核糖核酸
癌症研究
竞争性内源性RNA
癌症
基因
微阵列
微阵列分析技术
基因表达
遗传学
作者
Zhanghan Chen,Jie Huang,Yanling Feng,Zehuan Li,Ying Jiang
摘要
Abstract Background Breast cancer is the most commonly diagnosed cancer among women and is also the leading cause of cancer death for which the treatment and methods of diagnosis remain unsatisfied. Long non‐coding RNA (lncRNA) plays an important role in the occurrence and development of tumors, including breast cancer. We aimed to seek new and efficient treatment targets by analyzing the lncRNA expression profiles of breast cancer. Methods A competitive endogenous RNA microarray was used to investigate the profiles of differentially expressed lncRNAs. Quantitative real‐time polymerase chain reaction analysis (qRT‐PCR) validated the top differentially expressed lncRNAs in 107 pairs of breast cancer tissues and adjacent normal tissues. cis ‐ and trans ‐regulation mRNAs of lncRNAs were used to perform enrichment analysis. Cell function assays were used to explore the functions of ST8SIA6‐AS1. Results Seven lncRNAs, comprising ST8SIA6‐AS1, lnc‐HIST1H2BJ‐5:1, lnc‐PRICKLE2‐3:2, RP1‐86C11.7, RP11‐15F12.1, ZNF670‐ZNF695 and lnc‐STRN3‐12:1, were shown to be significantly up‐regulated in breast cancer. lncRNA ST8SIA6‐AS1 was associated with TNM staging and Ki‐67 index. The cell function assays showed that ST8SIA6‐AS1 can promote the proliferation, migration and invasion of breast cancer cells. The functions of ST8SIA6‐AS1 were explored and the competing endogenous RNA mode showed that miR‐4252 was a potential candidate. Its target genes were further predicted. The lncRNA‐protein mode showed three potential candidate RNA binding proteins: NONO, QKI and RBMX. Conclusions lncRNA ST8SIA6‐AS1 can promote the proliferation, migration and invasion of breast cancer cells. By hypothesizing two different functional modes of ST8SIA6‐AS1, we found lncRNA ST8SIA6‐AS1 may contribute to breast cancer progression through miR‐4252 or interacting with RNA binding proteins: NONO, QKI and RBMX.
科研通智能强力驱动
Strongly Powered by AbleSci AI