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Updated: Mar 28, 2026
Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
Published on: October 11, 2019
Data-driven Analysis of TRP Channels in Cancer: Linking Variation in Gene Expression to Clinical Significance
Yu Rang Park1, Jung Nyeo Chun2, Insuk So2
1Office of Clinical Research Information, Asan Medical Center, Seoul, Republic of Korea.
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.
Insights
Transient receptor potential (TRP) channels are implicated in cancer, but their clinical roles are unclear. This study reveals TRP channel gene expression variations across cancers, highlighting their diagnostic and prognostic potential.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Transient receptor potential (TRP) channels are increasingly recognized for their role in tumor biology.
- The clinical significance and specific involvement of TRP channels in various human cancers remain largely undetermined.
Purpose of the Study:
- To investigate the expression patterns of 27 TRP channel genes across 14 distinct human cancer types.
- To identify potential diagnostic and prognostic biomarkers among TRP channels in cancer.
Main Methods:
- Utilized a data-driven approach analyzing International Cancer Genome Consortium (ICGC) data.
- Dissected the expression landscape of 27 TRP channel genes in 14 human cancer types.
Main Results:
- TRPM2 showed overexpression in most tumors; TRPM3 was broadly downregulated.
- TRPV4 and TRPA1 exhibited cancer type-specific up- and downregulation, respectively.
- TRPC4 associated with head and neck cancer incidence and kidney cancer patient survival; TRPM8 and TRPP1 identified as potential diagnostic/prognostic markers for lung and kidney cancers.
Conclusions:
- TRP channel gene expression varies significantly across different cancer types and specific genes.
- Certain TRP channels demonstrate strong potential as predictive diagnostic and prognostic markers in oncology.
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