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首页> 外文会议>International conference on intelligent computing >Integrative Analysis of Gene Expression and Promoter Methylation during Reprogramming of a Non-Small-Cell Lung Cancer Cell Line Using Principal Component Analysis-Based Unsupervised Feature Extraction
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Integrative Analysis of Gene Expression and Promoter Methylation during Reprogramming of a Non-Small-Cell Lung Cancer Cell Line Using Principal Component Analysis-Based Unsupervised Feature Extraction

机译：基于主成分分析的无监督特征提取对非小细胞肺癌细胞株重编程过程中基因表达和启动子甲基化的综合分析

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Cancer cells are to some extent regarded as similar to undifferen-tiated cells, such as embryonic stem cells and induced pluripotent cells. However, cancer cells can be reprogrammed using standard reprogramming procedures. Thus, it would be interesting to observe the result of cancer cell reprogramming. In this paper, we reanalyzed publically available mRNA expression and promoter methylation profiles during reprogramming of non-small-cell lung cancer cell lines, using the recently proposed principal component analysis-based unsupervised feature extraction. Six genes, TGFBI, S100A6, CSRP1, CLDN11, PRKCDBP, and CRIP1, were commonly found (P = 0.003) in the 100 top-ranked genes with aberrant expression or aberrant promoter methylation. Because all six genes were related to cancer in the literature, they might be new therapeutic targets for treatment of non-small-cell lung cancer.
机译：癌细胞在某种程度上被认为与未分化细胞相似，例如胚胎干细胞和诱导性多能细胞。但是，可以使用标准重编程程序对癌细胞进行重编程。因此，观察癌细胞重编程的结果将是有趣的。在本文中，我们使用最近提出的基于主成分分析的无监督特征提取技术，重新分析了非小细胞肺癌细胞株重编程过程中可公开获得的mRNA表达和启动子甲基化谱。在异常表达或异常启动子甲基化的100个排名最高的基因中，通常发现六个基因，即TGFBI，S100A6，CSRP1，CLDN11，PRKCDBP和CRIP1（P = 0.003）。因为在文献中所有六个基因均与癌症相关，所以它们可能成为治疗非小细胞肺癌的新治疗靶标。

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