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mCRC中与FOLFOX化疗耐药相关的长链非编码RNA的鉴定及预测模型的构建

Identification of LncRNAs Associated With FOLFOX Chemoresistance in mCRC and Construction of a Predictive Model.

作者信息

Zhang Yiyi, Xu Meifang, Sun Yanwu, Chen Ying, Chi Pan, Xu Zongbin, Lu Xingrong

机构信息

Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, China.

Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.

出版信息

Front Cell Dev Biol. 2021 Jan 28;8:609832. doi: 10.3389/fcell.2020.609832. eCollection 2020.

Abstract

Oxaliplatin, fluorouracil plus leucovorin (FOLFOX) regimen is the first-line chemotherapy of patients with metastatic colorectal cancer (mCRC). However, studies are limited regarding long non-coding RNAs (lncRNAs) associated with FOLFOX chemotherapy response and prognosis. This study aimed to identify lncRNAs associated with FOLFOX chemotherapy response and prognosis in mCRC patients and to construct a predictive model. We analyzed lncRNA expression in 11 mCRC patients treated with FOLFOX chemotherapy before surgery (four sensitive, seven resistant) by Gene Array Chip. The top eight lncRNAs (AC007193.8, CTD-2008N3.1, FLJ36777, RP11-509J21.4, RP3-508I15.20, LOC100130950, RP5-1042K10.13, and LINC00476) for chemotherapy response were identified according to weighted correlation network analysis (WGCNA). A competitive endogenous RNA (ceRNA) network was then constructed. The crucial functions of the eight lncRNAs enriched in chemotherapy resistance were mitogen-activated protein kinase (MAPK) and proteoglycans signaling pathway. Receiver operating characteristic (ROC) analysis demonstrated that the eight lncRNAs were potent predictors for chemotherapy resistance of mCRC patients. To further identify a signature model lncRNA chemotherapy response and prognosis, the validation set consisted of 196 CRC patients from our center was used to validate lncRNAs expression and prognosis by quantitative PCR (qPCR). The expression of the eight lncRNAs expression between CRC cancerous and adjacent non-cancerous tissues was also verified in the validation data set to determine the prognostic value. A generalized linear model was established to predict the probability of chemotherapy resistance and survival. Our findings showed that the eight-lncRNA signature may be a novel biomarker for the prediction of FOLFOX chemotherapy response and prognosis of mCRC patients.

摘要

奥沙利铂、氟尿嘧啶加亚叶酸钙(FOLFOX)方案是转移性结直肠癌(mCRC)患者的一线化疗方案。然而,关于与FOLFOX化疗反应及预后相关的长链非编码RNA(lncRNA)的研究有限。本研究旨在鉴定mCRC患者中与FOLFOX化疗反应及预后相关的lncRNA,并构建一个预测模型。我们通过基因芯片分析了11例在手术前接受FOLFOX化疗的mCRC患者(4例敏感,7例耐药)的lncRNA表达情况。根据加权基因共表达网络分析(WGCNA)确定了化疗反应的前8个lncRNA(AC007193.8、CTD-2008N3.1、FLJ36777、RP11-509J21.4、RP3-508I15.20、LOC100130950、RP5-1042K10.13和LINC00476)。随后构建了竞争性内源性RNA(ceRNA)网络。富集于化疗耐药中的8个lncRNA的关键功能是丝裂原活化蛋白激酶(MAPK)和蛋白聚糖信号通路。受试者工作特征(ROC)分析表明,这8个lncRNA是mCRC患者化疗耐药的有效预测指标。为了进一步鉴定lncRNA化疗反应及预后的特征模型,我们使用来自本中心的196例CRC患者的验证集,通过定量PCR(qPCR)验证lncRNA的表达及预后情况。在验证数据集中还验证了CRC癌组织和相邻非癌组织中8个lncRNA的表达,以确定其预后价值。建立了广义线性模型来预测化疗耐药和生存的概率。我们的研究结果表明,这8个lncRNA特征可能是预测mCRC患者FOLFOX化疗反应及预后的一种新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfc9/7876414/de97e0f5a24a/fcell-08-609832-g0001.jpg

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