从大规模数据库中通过肿瘤原发-继发比较挖掘转移相关基因

Sangwoo Kim, Doheon Lee
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引用次数: 0

摘要

转移是癌症进展中最危险的一步,导致90%以上的癌症死亡。尽管许多研究人员对肿瘤转移的生物学特征和特征进行了研究,但其大部分遗传水平的过程仍不确定。一些研究成功地阐明了转移相关基因和通路,进而预测了癌症患者的预后,但结果基因或通路是否包含足够的信息,噪声特征是否得到了适当的控制,仍然是一个问题。为了解决这些问题,我们对原发性肿瘤和继发性转移瘤进行了比较。两种类型肿瘤之间组织特异性特征的差异所产生的噪声已通过附加分析加以控制。在本文中,我们提出了一种新的方法来鉴定确保转移依赖和不具有转移独立特征的基因和途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining metastasis related genes by primary-secondary tumor comparisons from large-scale database
Metastasis is the most dangerous step in cancer progression and causes more than 90% of cancer death. Although many researchers have been working on biological features and characteristics of metastasis, most of its genetic level processes remain uncertain. Some studies succeeded in elucidating metastasis related genes and pathways, followed by predicting prognosis of cancer patients, but there still is a question whether the result genes or pathways contain enough information and noise features have been controlled appropriately. To address these problems, we conducted comparisons between primary tumors and secondary metastatic tumors. Noises from the differences of tissue specific characteristics between two types of tumors have been controlled by additional analyses. In this paper, we suggest a new method for identifying genes and pathways which secure metastasis dependency and are free of metastasis independent features.
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