Shah Nigam, Lepre Jorge, Tu Yuhai, Stolovitzky Gustavo
Pennsylvania State University, University Park, 16802, USA.
Proc IEEE Comput Soc Bioinform Conf. 2003;2:94-103.
The cancer state of a cell is characterized by alterations of important cellular processes such as cell proliferation, apoptosis, DNA-damage repair, etc. The expression of genes associated with cancer related pathways, therefore, may exhibit differences between the normal and the cancerous states. We explore various means to find these differences. We analyze 6 different pathways (p53, Ras, Brca, DNA damage repair, NFkappab and beta-catenin) and 4 different types of cancer: colon, pancreas, prostate and kidney. Our results are found to be mostly consistent with existing knowledge of the involvement of these pathways in different cancers. Our analysis constitutes proof of principle that it may be possible to predict the involvement of a particular pathway in cancer or other diseases by using gene expression data. Such method would be particularly useful for the types of diseases where biology is poorly understood.
细胞的癌状态以重要细胞过程的改变为特征，如细胞增殖、凋亡、DNA损伤修复等。因此，与癌症相关通路相关的基因表达在正常状态和癌状态之间可能会表现出差异。我们探索各种方法来找出这些差异。我们分析了6种不同的通路（p53、Ras、Brca、DNA损伤修复、NFkappab和β-连环蛋白）以及4种不同类型的癌症：结肠癌、胰腺癌、前列腺癌和肾癌。我们的结果大多与这些通路参与不同癌症的现有知识一致。我们的分析构成了原理证明，即通过使用基因表达数据有可能预测特定通路在癌症或其他疾病中的参与情况。这种方法对于生物学理解较差的疾病类型将特别有用。
