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Research Article
Open Access

Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance

YU RANG PARK, JUNG NYEO CHUN, INSUK SO, HWA JUNG KIM, SEUNGHEE BAEK, JU-HONG JEON and SOO-YONG SHIN
Cancer Genomics & Proteomics January 2016, 13 (1) 83-90;
YU RANG PARK
1Office of Clinical Research Information, Asan Medical Center, Seoul, Republic of Korea
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JUNG NYEO CHUN
2Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
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INSUK SO
2Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
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HWA JUNG KIM
3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Republic of Korea
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SEUNGHEE BAEK
4Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea
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JU-HONG JEON
2Department of Physiology and Biomedical Sciences, Institute of Human-Environment Interface Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
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  • For correspondence: jhjeon2@snu.ac.kr sooyong.shin@amc.seoul.kr
SOO-YONG SHIN
1Office of Clinical Research Information, Asan Medical Center, Seoul, Republic of Korea
5Department of Biomedical Informatics, Asan Medical Center, Seoul, Republic of Korea
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  • For correspondence: jhjeon2@snu.ac.kr sooyong.shin@amc.seoul.kr
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    Figure 1.

    Altered expression of transient receptor potential (TRP) channels in human cancer. A: Heat map representing the median values of expression of TRP channel genes (ratio of cancer to normal). N: Not available. B: Network visualizing the association between TRP channel isotypes (gray nodes) and cancer types (pale red nodes). Line colors represent up (red)- or down (blue)-regulation of TRP channel genes and line width indicates their expression levels in cancer. CCC, Clear cell carcinoma; PCC, papillary cell carcinoma; AC, adenocarcinoma; SCC, squamous cell carcinoma; TRPC, transient receptor potential channels canonical; TRPV, transient receptor potential channels vanilloid; TRPM, transient receptor potential channels melastatin; TRPML, transient receptor potential channels mucolipin; TRPP, transient receptor potential channels polycystin; TRPA, transient receptor potential channels ankyrin.

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    Figure 2.

    Survival curve for patients with kidney cancer (clear cell carcinoma) based on the expression levels of transient receptor potential channels canonical 4 (TRPC4; A), TRPM3 (B), transient receptor potential channels polycystin 1 (TRPP1; C), and transient receptor potential channels ankyri 1 (TRPA1; D). HR, Hazard ratio (95% confidence interval).

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Cancer Genomics - Proteomics: 13 (1)
Cancer Genomics & Proteomics
Vol. 13, Issue 1
January-February 2016
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Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance
YU RANG PARK, JUNG NYEO CHUN, INSUK SO, HWA JUNG KIM, SEUNGHEE BAEK, JU-HONG JEON, SOO-YONG SHIN
Cancer Genomics & Proteomics Jan 2016, 13 (1) 83-90;

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Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance
YU RANG PARK, JUNG NYEO CHUN, INSUK SO, HWA JUNG KIM, SEUNGHEE BAEK, JU-HONG JEON, SOO-YONG SHIN
Cancer Genomics & Proteomics Jan 2016, 13 (1) 83-90;
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Keywords

  • Data-driven approach
  • TRP channel
  • cancer
  • clinical significance
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