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基于表达谱数据提示的肺癌亚型发病机制的相似性和差异性。

Similarity and difference of pathogenesis among lung cancer subtypes suggested by expression profile data.

机构信息

Medical College, Kunming University of Science and Technology, Kunming, China.

Medical College, Kunming University of Science and Technology, Kunming, China.

出版信息

Pathol Res Pract. 2021 Apr;220:153365. doi: 10.1016/j.prp.2021.153365. Epub 2021 Feb 10.

DOI:10.1016/j.prp.2021.153365
PMID:33744767
Abstract

Lung cancer is difficult to diagnose, has a high mortality rate and a high recurrence rate. By grouping and analyzing the gene expression in lung cancer samples, we selected the differentially expressed genes (DEGs) in total lung cancers or each subgroup, and then searched for the similarities and differences among these. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed, in addition to predictable cell proliferation or immune-related pathways, 'hemostasis', 'coagulation' and 'viral myocarditis' were also enriched in common DEGs, while specific functions or pathways were enriched in different subgroups. This may have implications for the treatment of total lung cancer or different subtypes. Through bioinformatics analysis, hub genes were obtained from total lung cancer and each subgroup respectively. Survival analysis of common hub genes led us to find that ZWINT, A2M, POLR2H and KIF11 are associated with unclassified lung cancer survival. For the construction of miRNA regulatory network, miR-16-5p was related to all of these four genes, and its expression is significantly different between lung cancers and normal samples. Combined with the hub genes of each subtype, it may have the ability of early screening and typing.

摘要

肺癌难以诊断,死亡率和复发率都很高。通过对肺癌样本中的基因表达进行分组和分析,我们选择了总肺癌或每个亚组中的差异表达基因(DEGs),然后寻找这些基因之间的相似性和差异。进行了基因本体论(GO)分析和京都基因与基因组百科全书(KEGG)途径富集,除了可预测的细胞增殖或免疫相关途径外,“止血”、“凝血”和“病毒性心肌炎”也在常见 DEGs 中富集,而不同亚组中则富集了特定的功能或途径。这可能对治疗总肺癌或不同亚型具有意义。通过生物信息学分析,从总肺癌和每个亚组分别获得了枢纽基因。对常见枢纽基因的生存分析使我们发现 ZWINT、A2M、POLR2H 和 KIF11 与未分类肺癌的生存有关。对于 miRNA 调控网络的构建,miR-16-5p 与这四个基因都相关,其在肺癌和正常样本之间的表达差异显著。结合每个亚型的枢纽基因,它可能具有早期筛查和分型的能力。

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