Zhang Yan, Li Jin, Yu Jiang, Liu Hao, Shen Zhiyong, Ye Gentai, Mou Tingyu, Qi Xiaolong, Li Guoxin
Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Oncotarget. 2017 Apr 4;8(14):22936-22943. doi: 10.18632/oncotarget.15288.
Tumor recurrence is usually detected within one year after radical resection of stage III gastric cancer. This study aimed to establish the expression profile and determine potential circular RNAs (circRNAs) and predict the early recurrence of stage III gastric cancer. We identified 46 differently expressed circRNAs between cancer and adjacent normal tissues through circRNA microarray. We further screened eight indicators related to early recurrence. We subsequently divided the remaining cases into two cohorts. qRT-PCR results demonstrated a significantly different outcome between low and high expressed groups of four circRNAs in the training cohort. We then constructed a four-circRNA-based classifier to evaluate the risk of early recurrence and distinguished patients with a high risk from those with a low risk. The areas under the receiver operator characteristic curve (ROC) of this classifier were 0.763 and 0.711 in the two cohorts, respectively. A new formula could be established by combined the circRNA classifier with TNM stages. The areas under the ROC curve were 0.866 and 0.818 of the two cohorts, respectively. Our study suggested that this four-circRNA-based classifier yielded a predictive ability to the early recurrence of stage III gastric cancer after radical surgery.
肿瘤复发通常在III期胃癌根治性切除术后一年内被检测到。本研究旨在建立表达谱,确定潜在的环状RNA(circRNA),并预测III期胃癌的早期复发。我们通过circRNA微阵列鉴定了癌组织与癌旁正常组织之间46种差异表达的circRNA。我们进一步筛选出与早期复发相关的8个指标。随后,我们将其余病例分为两个队列。qRT-PCR结果显示,在训练队列中,4种circRNA的低表达组和高表达组之间的结果存在显著差异。然后,我们构建了一个基于4种circRNA的分类器来评估早期复发风险,并区分高风险患者和低风险患者。该分类器在两个队列中的受试者操作特征曲线(ROC)下面积分别为0.763和0.711。通过将circRNA分类器与TNM分期相结合,可以建立一个新的公式。两个队列的ROC曲线下面积分别为0.866和0.818。我们的研究表明,这种基于4种circRNA的分类器对III期胃癌根治术后的早期复发具有预测能力。