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通过结直肠癌中与癌症相关的途径预测预后和进展。

predicts prognosis and progression through cancer-related pathways in colorectal cancer.

作者信息

Wang Yangzi, Zhao Jianmin, Fu Guoxiang, Sheng Caixia, Zhu Jia, Zhong Tingting, Yang Fang, Jiang Zhinong

机构信息

Department of pathology, Sir Run Run Shaw Hospital Affiliated to Zhejiang University, Hangzhou, China.

出版信息

Transl Cancer Res. 2022 Oct;11(10):3686-3697. doi: 10.21037/tcr-22-629.

Abstract

BACKGROUND

Colorectal cancer (CRC) is a common malignant tumor leading to poor prognosis and high mortality. Mannosidase alpha class 2A member 1 () turns to oncogene through fusing Fer tyrosine kinase () and associates with multiple cancer occurrence. In order to determine whether can promote tumorigenesis and metastasis in CRC, we conducted a series of studies.

METHODS

We obtained gene expression and clinical data of CRC from The Cancer Genome Atlas (TCGA) databases. RNA raw counts data was merged by Python. Batch processing of univariate Cox regression analysis was performed to preliminary identify the genes associated with prognosis. Differentially expressed genes (DEGs) between lymph node metastasis (LNM) patients and non-LNM patients were identified via edgR in Sangerbox tool. Protein-protein interactive (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape software. Kaplan-Meier (KM) survival of CRC patients was analyzed by Sangerbox tool. Clinicopathologic characteristics of CRC patients were analyzed by SPSS statistics software. Differences in RNA expression levels of genes were validated in our cohort by real-time polymerase chain reaction (RT-PCR). Analyses of Signaling pathways and gene ontology were explored by gene set enrichment analysis (GSEA).

RESULTS

We first obtained 4,455 genes associated with the prognosis of CRC, and 998 of these genes were also DEGs in CRC between metastatic CRC tissues and tissues. Therein, expression was downregulated in LNM CRC compared with CRC , also downregulated in CRC compared with adjacent normal tissues, and high gene expression levels of was associated with better survival.

CONCLUSIONS

Our study suggested that could be a potential biomarker significantly related to prognosis and LNM of CRC patients.

摘要

背景

结直肠癌(CRC)是一种常见的恶性肿瘤,预后较差且死亡率高。甘露糖苷酶α2A类成员1()通过与费酪氨酸激酶()融合转变为癌基因,并与多种癌症的发生相关。为了确定在结直肠癌中是否能促进肿瘤发生和转移,我们进行了一系列研究。

方法

我们从癌症基因组图谱(TCGA)数据库中获取了结直肠癌的基因表达和临床数据。RNA原始计数数据通过Python合并。进行单变量Cox回归分析的批量处理以初步鉴定与预后相关的基因。通过Sangerbox工具中的edgR鉴定淋巴结转移(LNM)患者和非LNM患者之间的差异表达基因(DEG)。使用基因相互作用检索工具(STRING)和Cytoscape软件构建蛋白质-蛋白质相互作用(PPI)网络。通过Sangerbox工具分析结直肠癌患者的Kaplan-Meier(KM)生存率。使用SPSS统计软件分析结直肠癌患者的临床病理特征。通过实时聚合酶链反应(RT-PCR)在我们的队列中验证基因RNA表达水平的差异。通过基因集富集分析(GSEA)探索信号通路和基因本体分析。

结果

我们首先获得了4455个与结直肠癌预后相关的基因,其中998个基因在转移性结直肠癌组织和组织之间的结直肠癌中也是差异表达基因。其中,与结直肠癌相比,LNM结直肠癌中的表达下调,与相邻正常组织相比,结直肠癌中的表达也下调,并且的高基因表达水平与更好的生存率相关。

结论

我们的研究表明,可能是与结直肠癌患者预后和LNM显著相关的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b794/9641108/d5cdf705c749/tcr-11-10-3686-f1.jpg

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