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Establishment of apoptotic regulatory network for genetic markers of colorectal cancer and optimal selection of traditional Chinese medicine target

机译:大肠癌遗传标记凋亡调控网络的建立及中药靶点的优化选择

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The paper aimed to screen out genetic markers applicable to early diagnosis for colorectal cancer and establish apoptotic regulatory network model for colorectal cancer, and to analyze the current situation of traditional Chinese medicine (TCM) target, thereby providing theoretical evidence for early diagnosis and targeted therapy of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers that are applied to early diagnosis of colorectal cancer were searched and performed comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. KEGG analysis was employed to establish apoptotic regulatory network model based on screened genetic markers, and optimization was conducted on TCM targets. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, P53, APC, DCC and PTEN, among which DCC has the highest diagnostic efficiency. Apoptotic regulatory network was built by KEGG analysis. Currently, it was reported that TCM has regulatory function on gene locus in apoptotic regulatory network. The apoptotic regulatory model of colorectal cancer established in this study provides theoretical evidence for early diagnosis and TCM targeted therapy of colorectal cancer in clinic.
机译:本文旨在筛选可用于大肠癌早期诊断的遗传标记,建立大肠癌的凋亡调控网络模型,并分析中药靶点的现状,从而为早期诊断和靶向治疗提供理论依据。大肠癌。以CNKI,VIP,Wanfang数据,Pub Med和MEDLINE等数据库为主要文献检索来源,对与用于大肠癌早期诊断的遗传标记有关的文献进行检索,并通过Meta分析进行全面定量分析,从而进行筛选。用于大肠癌早期诊断的遗传标记。基于筛选的遗传标记,运用KEGG分析建立凋亡调控网络模型,并对中药靶点进行优化。通过Meta分析,筛选出7种遗传标记,包括WWOX,K-ras,COX-2,P53,APC,DCC和PTEN,其中DCC的诊断效率最高。通过KEGG分析建立了凋亡调控网络。目前,据报道中药在凋亡调控网络中对基因基因座具有调控功能。本研究建立的大肠癌细胞凋亡调控模型为临床大肠癌的早期诊断和中医靶向治疗提供了理论依据。

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