Liu Jianhua, Li Yanqing, Zhang Qiqi, Lv Chaoxiang, Wang Mingwei, Jiao Yan, Wang Chunxi
Department of Urology, 117971The First Hospital of Jilin University, Changchun, China.
Department of Pathophysiology, College of Basic Medical Sciences, 12510Jilin University, Changchun, China.
Technol Cancer Res Treat. 2021 Jan-Dec;20:1533033820971610. doi: 10.1177/1533033820971610.
Dysregulation of long noncoding RNA is associated with a variety of cancers and LncRNA has anticancer or carcinogenic activities. PVT1, as a long noncoding RNA, plays an important role in the development of cancer.
We use R to download and analyze the data in TCGA database. ROC curve is generated to evaluate the significance of PVT1 expression for the diagnosis of prostate cancer. Chi-square test is used to test correlation between PVT1 expression and clinical pathological features. Survival curve and univariate and multivariate cox regression analysis is performed to compare differences in the effect on the survival rate between PVT1 high expression and low expression.
The expression of PTV1 in tumor tissues was significantly higher than that in normal tissues(P<2.2e-16). The difference of PTV1 expression was observed according to vital status (P = 0.0051) and Gleason score (P = 0.0012). The expression of PTV1 is significantly associated with T classification (P < 0.0001), N classification (P = 0.0499), PSA (P = 0.0001), Gleason Score (P < 0.0001), targeted molecular therapy (P = 0.0264) and vital status(P = 0.0036). The area under the ROC curve (AUC) was 0.860, which revealed PTV1 expression has excellent diagnostic value in prostate cancer. Patients with high PVT1 expression had a worse prognosis.
PVT1 expression may be a biomarker for the diagnosis and prognosis of prostate cancer.
长链非编码RNA失调与多种癌症相关，且长链非编码RNA具有抗癌或致癌活性。PVT1作为一种长链非编码RNA，在癌症发展中起重要作用。
我们使用R语言下载并分析TCGA数据库中的数据。生成ROC曲线以评估PVT1表达对前列腺癌诊断的意义。采用卡方检验来检验PVT1表达与临床病理特征之间的相关性。进行生存曲线以及单因素和多因素cox回归分析，以比较PVT1高表达和低表达对生存率影响的差异。
PTV1在肿瘤组织中的表达显著高于正常组织（P<2.2e-16）。根据生存状态（P = 0.0051）和Gleason评分（P = 0.0012）观察到PTV1表达存在差异。PTV1的表达与T分期（P < 0.0001）、N分期（P = 0.0499）、前列腺特异性抗原（P = 0.0001）、Gleason评分（P < 0.0001）、靶向分子治疗（P = 0.0264）和生存状态（P = 0.0036）显著相关。ROC曲线下面积（AUC）为0.860，表明PTV1表达在前列腺癌中具有良好的诊断价值。PVT1高表达的患者预后较差。
PVT1表达可能是前列腺癌诊断和预后的生物标志物。
