TMED9 Expression Level as a Biomarker of Epithelial Ovarian Cancer Progression and Prognosis

Gwan Hee Han, Hee Yun, Joon Yong Chung, Jae Hoon Kim, Hanbyoul Cho

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Background: Transmembrane emp24 domaincontaining protein 9 (TMED9) belongs to the TMED/p24 family that transports, modifies, and packs proteins and lipids into vesicles for delivery to specific locations and is important in innate immune signaling via the endoplasmic reticulum-Golgi cargo pathway. TMED9 has been implicated in various cancer types; however, its role in epithelial ovarian cancer (EOC) is unclear. In this study, we aimed to elucidate the role and clinical significance of TMED9 in EOC. Materials and Methods: mRNA and protein levels of TMED9 and their associations with clinicopathological features in EOCs were evaluated using RNA-sequencing and immunohistochemistry data. Functional studies assessing the tumorigenic role of TMED9 in EOC cell lines were also performed. Results: The mRNA expression of TMED9 was upregulated in EOC compared to that in normal ovarian epithelium. TMED9 protein expression increased in progression from normal ovarian epithelium to EOC (p<0.001). Moreover, high expression of TMED9 was associated with advanced stage, serous cell type and poor histological grade in EOC and demonstrated independent prognostic significance for both disease-free and overall survival. Further functional studies showed that TMED9 knockdown reduced migration, invasion, cell proliferation, and colony formation of EOC cells. Conclusion: Overall, our results support the use of TMED9 as a valuable prognostic biomarker and provide evidence for targeting of TMED9 as a novel strategy for EOC treatment.

Original languageEnglish
Pages (from-to)692-702
Number of pages11
JournalCancer Genomics and Proteomics
Issue number6
Publication statusPublished - 2022 Nov

Bibliographical note

Publisher Copyright:
© 2022 International Institute of Anticancer Research. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cancer Research


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