title: Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance.
abstract: 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.
  
  
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Office of Clinical Research Information, Asan Medical Center, Seoul, Republic of Korea.
authors.forename: Yu Rang
authors.initials: YR
authors.lastname: Park
authors.affiliation: Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea.
authors.forename: Jung Nyeo
authors.initials: JN
authors.lastname: Chun
authors.affiliation: Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea.
authors.forename: Insuk
authors.initials: I
authors.lastname: So
authors.affiliation: Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Republic of Korea.
authors.forename: Hwa Jung
authors.initials: HJ
authors.lastname: Kim
authors.affiliation: Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea.
authors.forename: Seunghee
authors.initials: S
authors.lastname: Baek
authors.affiliation: Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea jhjeon2@snu.ac.kr sooyong.shin@amc.seoul.kr.
authors.forename: Ju-Hong
authors.initials: JH
authors.lastname: Jeon
authors.affiliation: Office of Clinical Research Information, Asan Medical Center, Seoul, Republic of Korea Department of Biomedical Informatics, Asan Medical Center, Seoul, Republic of Korea jhjeon2@snu.ac.kr sooyong.shin@amc.seoul.kr.
authors.forename: Soo-Yong
authors.initials: SY
authors.lastname: Shin
mesh_terms: D000328:Adult; D000368:Aged; D015870:Gene Expression; D006801:Humans; D008875:Middle Aged; D009369:Neoplasms / Q000737:chemistry / Q000235:genetics*; D011379:Prognosis; D050051:Transient Receptor Potential Channels / Q000032:analysis / Q000235:genetics*
chemical_list: D050051:Transient Receptor Potential Channels
keywords: Data-driven approach; TRP channel; cancer; clinical significance