Lian Penghu, Wang Qian, Zhao Ya, Chen Cheng, Sun Xiacheng, Li Hanzhong, Deng Jianhua, Zhang Hongmei, Ji Zhigang, Zhang Xuebin, Huang Qichao
Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Department of General Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an 710032, China.
Aging (Albany NY). 2019 Sep 3;11(17):6930-6940. doi: 10.18632/aging.102225.
Backgroud: Bladder cancer (BLCA) is one of the most fatal types of cancer worldwide. However, there are limited methods for us to provide a prognostic prediction of BLCA patients. Therefore, we aimed at developing a lncRNA signature to improve the prognosis prediction of BLCA.
An eight-lncRNA signature was significantly associated with recurrence free survival in BLCA patients from both discovery and validation groups. Furthermore, genes involved in the signature were enriched in extracellular matrix organization pathway. Finally, functional experiments demonstrated that six out of the eight lncRNAs significantly regulated the invasion of BLCA cells.
A total of 343 BLCA patients from The Cancer Genome Atlas (TCGA) were employed and randomly divided into training (n=172) and validating (n=171) groups. The lncRNA expression profiles of BLCA patients were screened and a risk-score formula were created and validated according to the Cox regression analysis. Next, WGCNA method was employed to cluster genes that highly correlated with the risk scores based on the profiling data of TCGA dataset and transwell assay was also performed to further investigate the role of these lncRNAs.
Our results suggested that the eight-lncRNA signature was a candidate prognostic biomarker for predicting tumor recurrence of patients with BLCA.
背景:膀胱癌(BLCA)是全球最致命的癌症类型之一。然而,我们用于对BLCA患者进行预后预测的方法有限。因此,我们旨在开发一种lncRNA特征以改善BLCA的预后预测。
一个八lncRNA特征与来自发现组和验证组的BLCA患者的无复发生存显著相关。此外,该特征中涉及的基因在细胞外基质组织途径中富集。最后,功能实验表明八个lncRNA中的六个显著调节了BLCA细胞的侵袭。
总共采用了来自癌症基因组图谱(TCGA)的343例BLCA患者,并将其随机分为训练组(n = 172)和验证组(n = 171)。筛选BLCA患者的lncRNA表达谱,并根据Cox回归分析创建和验证风险评分公式。接下来,采用WGCNA方法基于TCGA数据集的分析数据对与风险评分高度相关的基因进行聚类,并且还进行了transwell实验以进一步研究这些lncRNA的作用。
我们的结果表明,八lncRNA特征是预测BLCA患者肿瘤复发的候选预后生物标志物。