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题目:: Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance.
作者:: Park(Yu Rang),Chun(Jung Nyeo),So(Insuk),Kim(Hwa Jung),Baek(Seunghee),Jeon(Ju-Hong),Shin(Soo-Yong)
状态:: 发布时间2015-12-28 , 更新时间 2016-11-10
期刊:: Cancer Genomics Proteomics
摘要:: Experimental evidence has suggested that transient receptor potential (TRP) channels play a crucial role in tumor biology. However, clinical relevance and significance of TRP channels in cancer remain largely unknown.,We applied a data-driven approach to dissect the expression landscape of 27 TRP channel genes in 14 types of human cancer using International Cancer Genome Consortium data.,TRPM2 was found overexpressed in most tumors, whereas TRPM3 was broadly down-regulated. TRPV4 and TRPA1 were found up- and down-regulated respectively in a cancer type-specific manner. TRPC4 was found to be closely associated with incidence of head and neck cancer and poor survival of patients with kidney cancer. TRPM8 was identified as a new molecular marker for lung cancer diagnosis and TRPP1 for kidney cancer prognosis.,Our data-driven approach demonstrates that the variation in the expression of TRP channel genes is manifested across various human cancer types and genes, for certain TRP channels have strong predictive diagnostic and prognostic potential.
语言:: eng
DOI:

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