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一种来自LOXL2和肌动蛋白相关蛋白的蛋白质-蛋白质相互作用网络的三基因特征用于食管鳞状细胞癌预后评估。

A three-gene signature from protein-protein interaction network of LOXL2- and actin-related proteins for esophageal squamous cell carcinoma prognosis.

作者信息

Zhan Xiu-Hui, Jiao Ji-Wei, Zhang Hai-Feng, Li Chun-Quan, Zhao Jian-Mei, Liao Lian-di, Wu Jian-Yi, Wu Bing-Li, Wu Zhi-Yong, Wang Shao-Hong, Du Ze-Peng, Shen Jin-Hui, Zou Hai-Ying, Neufeld Gera, Xu Li-Yan, Li En-Min

机构信息

Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong, China.

The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China.

出版信息

Cancer Med. 2017 Jul;6(7):1707-1719. doi: 10.1002/cam4.1096. Epub 2017 May 29.

DOI:10.1002/cam4.1096
PMID:28556501
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5504325/
Abstract

Current staging is inadequate for predicting clinical outcome of esophageal squamous cell carcinoma (ESCC). Aberrant expression of LOXL2 and actin-related proteins plays important roles in ESCC. Here, we aimed to develop a novel molecular signature that exceeds the power of the current staging system in predicting ESCC prognosis. We found that LOXL2 colocalized with filamentous actin in ESCC cells, and gene set enrichment analysis (GSEA) showed that LOXL2 is related to the actin cytoskeleton. An ESCC-specific protein-protein interaction (PPI) network involving LOXL2 and actin-related proteins was generated based on genome-wide RNA-seq in 15 paired ESCC samples, and the prognostic significance of 14 core genes was analyzed. Using risk score calculation, a three-gene signature comprising LOXL2, CDH1, and FN1 was derived from transcriptome data of patients with ESCC. The high-risk three-gene signature strongly correlated with poor prognosis in a training cohort of 60 patients (P = 0.003). In mRNA and protein levels, the prognostic values of this signature were further validated in 243 patients from a testing cohort (P = 0.001) and two validation cohorts (P = 0.021, P = 0.007). Furthermore, Cox regression analysis revealed that the signature was an independent prognostic factor. Compared with using the signature or TNM stage alone, the combined model significantly enhanced the accuracy in evaluating ESCC prognosis. In conclusion, our data reveal that the tumor-promoting role of LOXL2 in ESCC is mediated by perturbing the architecture of actin cytoskeleton through its PPIs. We generated a novel three-gene signature (PPI interfaces) that robustly predicts poor clinical outcome in ESCC patients.

摘要

目前的分期方法不足以预测食管鳞状细胞癌(ESCC)的临床结局。赖氨酰氧化酶样蛋白2(LOXL2)和肌动蛋白相关蛋白的异常表达在ESCC中起重要作用。在此,我们旨在开发一种新的分子标志物,其在预测ESCC预后方面优于当前的分期系统。我们发现LOXL2在ESCC细胞中与丝状肌动蛋白共定位,基因集富集分析(GSEA)表明LOXL2与肌动蛋白细胞骨架相关。基于15对ESCC样本的全基因组RNA测序,构建了一个涉及LOXL2和肌动蛋白相关蛋白的ESCC特异性蛋白质-蛋白质相互作用(PPI)网络,并分析了14个核心基因的预后意义。通过风险评分计算,从ESCC患者的转录组数据中得出了一个由LOXL2、E-钙黏蛋白(CDH1)和纤连蛋白1(FN1)组成的三基因标志物。在一个由60名患者组成的训练队列中,高风险三基因标志物与不良预后密切相关(P = 0.003)。在mRNA和蛋白质水平上,该标志物的预后价值在一个测试队列的243名患者(P = 0.001)以及两个验证队列(P = 0.021,P = 0.007)中得到进一步验证。此外,Cox回归分析显示该标志物是一个独立的预后因素。与单独使用该标志物或TNM分期相比,联合模型显著提高了评估ESCC预后的准确性。总之,我们的数据表明,LOXL2在ESCC中的促肿瘤作用是通过其蛋白质-蛋白质相互作用扰乱肌动蛋白细胞骨架结构来介导的。我们生成了一种新的三基因标志物(PPI界面),可强有力地预测ESCC患者的不良临床结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/b3e5bab16761/CAM4-6-1707-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/c180b62f67d6/CAM4-6-1707-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/e7c6b74e9667/CAM4-6-1707-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/012a16f933ac/CAM4-6-1707-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/0a1257620cf5/CAM4-6-1707-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/b3e5bab16761/CAM4-6-1707-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/c180b62f67d6/CAM4-6-1707-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/e7c6b74e9667/CAM4-6-1707-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/012a16f933ac/CAM4-6-1707-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/0a1257620cf5/CAM4-6-1707-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c46/5504325/b3e5bab16761/CAM4-6-1707-g005.jpg

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