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结直肠癌中与西妥昔单抗不敏感相关的靶基因和通路预测

Prediction of Target Genes and Pathways Associated With Cetuximab Insensitivity in Colorectal Cancer.

作者信息

Yu Chaoran, Hong Hiju, Lu Jiaoyang, Zhao Xuan, Hu Wenjun, Zhang Sen, Zong Yaping, Mao Zhihai, Li Jianwen, Wang Mingliang, Feng Bo, Sun Jing, Zheng Minhua

机构信息

1 Department of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

2 School of Medicine, Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

出版信息

Technol Cancer Res Treat. 2018 Jan 1;17:1533033818806905. doi: 10.1177/1533033818806905.

Abstract

BACKGROUND

Cetuximab has been regularly added to the treatments for metastatic colorectal cancer worldwide. However, due to its therapeutic insensitivity and underlying mechanisms being largely unknown, the clinical implementation of cetuximab in colorectal cancer remains limited.

METHODS

The gene expression profile GSE56386 was retrieved from the Gene Expression Omnibus database. Differentially expressed genes were identified between cetuximab-responsive patients and nonresponders, annotated by gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and further analyzed by protein-protein interaction networks. The integrative prognostic analysis was based on The Cancer Genome Atlas and PrognoScan.

RESULTS

1350 differentially expressed genes were identified with 298 upregulated and 1052 downregulated. Epidermis development, the cornified envelope, calcium ion binding, and amoebiasis were enriched in upregulated genes while digestion, the apical part of the cell, the 3',5'-cyclic-adenosine monophosphate phosphodiesterase activity and pancreatic secretion were found enriched in downregulated genes. The top 10 hub genes were identified, including epithermal growth factor, G-protein subunit β 5, G-protein subunit γ 4, fibroblast growth factor 2, B-cell lymphoma protein 2, acetyl-coenzyme A carboxylase β, KIT proto-oncogene receptor tyrosine kinase, adenylate cyclase 4, neuropeptide Y, and neurotensin. The hub genes exhibited distinct correlations in cetuximab-treated and untreated genomic profiles (GSE56386, GSE5851 and GSE82236). The highest correlation was found between B-cell lymphoma protein 2 and acetyl-coenzyme A carboxylase β in GSE56386. The mRNA expression of hub genes was further validated in the genomic profile GSE65021. Furthermore, B-cell lymphoma protein 2 and acetyl-coenzyme A carboxylase β also exhibited highest degrees among the hub genes correlation networks based on The Cancer Genome Atlas. Both B-cell lymphoma and acetyl-coenzyme A carboxylase β were not independent prognostic factors for colorectal cancer in univariate and multivariate Cox analysis. However, integrative survival analysis indicated that B-cell lymphoma protein 2 was associated with favorable prognosis (hazard ratio = 0.62, 95% confidence interval, 0.30-0.95, P = .024).

DISCUSSION

This in silico analysis provided a feasible and reliable strategy for systematic exploration of insightful target genes, pathways and mechanisms underlying the cetuximab insensitivity in colorectal cancer. B-cell lymphoma protein 2 was associated with favorable prognosis.

摘要

背景

西妥昔单抗已被常规添加到全球转移性结直肠癌的治疗方案中。然而,由于其治疗敏感性及潜在机制在很大程度上尚不清楚,西妥昔单抗在结直肠癌中的临床应用仍然有限。

方法

从基因表达综合数据库中检索基因表达谱GSE56386。在西妥昔单抗反应性患者和无反应者之间鉴定差异表达基因,通过基因本体论、京都基因与基因组百科全书通路分析进行注释,并通过蛋白质-蛋白质相互作用网络进一步分析。综合预后分析基于癌症基因组图谱和预后扫描。

结果

鉴定出1350个差异表达基因,其中298个上调,1052个下调。表皮发育、角质化包膜、钙离子结合和阿米巴病在上调基因中富集,而消化、细胞顶端、3',5'-环磷酸腺苷磷酸二酯酶活性和胰腺分泌在下调基因中富集。鉴定出前10个核心基因,包括表皮生长因子、G蛋白亚基β5、G蛋白亚基γ4、成纤维细胞生长因子2、B细胞淋巴瘤蛋白2、乙酰辅酶A羧化酶β、KIT原癌基因受体酪氨酸激酶、腺苷酸环化酶4、神经肽Y和神经降压素。这些核心基因在西妥昔单抗治疗和未治疗的基因组图谱(GSE56386、GSE5851和GSE82236)中表现出不同的相关性。在GSE56386中,B细胞淋巴瘤蛋白2和乙酰辅酶A羧化酶β之间的相关性最高。核心基因的mRNA表达在基因组图谱GSE65021中得到进一步验证。此外,基于癌症基因组图谱,B细胞淋巴瘤蛋白2和乙酰辅酶A羧化酶β在核心基因相关网络中也表现出最高程度的相关性。在单因素和多因素Cox分析中,B细胞淋巴瘤蛋白2和乙酰辅酶A羧化酶β均不是结直肠癌的独立预后因素。然而,综合生存分析表明,B细胞淋巴瘤蛋白2与良好预后相关(风险比=0.62,95%置信区间,0.30-0.95,P=0.024)。

讨论

这项计算机模拟分析为系统探索结直肠癌中西妥昔单抗不敏感的有洞察力的靶基因、通路和机制提供了一种可行且可靠的策略。B细胞淋巴瘤蛋白2与良好预后相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dac8/6196627/c52e39a04efc/10.1177_1533033818806905-fig1.jpg

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