RT Journal Article
SR Electronic
T1 Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance
JF Cancer Genomics - Proteomics
JO Cancer Genomics Proteomics
FD International Institute of Anticancer Research
SP 83
OP 90
VO 13
IS 1
A1 PARK, YU RANG
A1 CHUN, JUNG NYEO
A1 SO, INSUK
A1 KIM, HWA JUNG
A1 BAEK, SEUNGHEE
A1 JEON, JU-HONG
A1 SHIN, SOO-YONG
YR 2016
UL http://cgp.iiarjournals.org/content/13/1/83.abstract
AB Background: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.