Increased EHHADH Expression Predicting Poor Survival of Osteosarcoma by Integrating Weighted Gene Coexpression Network Analysis and Experimental Validation

Overview

Journal Biomed Res Int

Publisher Wiley

Specialties Biomedical Engineering
Biotechnology
General Medicine

Date 2021 May 17

PMID 33997049

Citations 3

Authors

Juncheng Cui

Guoliang Yi

Jinxin Li

Yangtao Li

Dongyang Qian

Affiliations

Soon will be listed here.

Abstract

Enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase (EHHADH), a member of the 3-hydroxyacyl-CoA dehydrogenase family, were previously demonstrated to be involved in the tumorigenesis of various cancer types. This study is aimed at determining of the diagnostic and prognostic value of EHHADH in osteosarcoma (OS). The overexpression of EHHADH was found both in OS and also other sarcoma types, and according to the retrospective cohort study, the EHHADH level was related to the overall survival and disease-free survival of the OS patients. Furthermore, knockdown of EHHADH under the influence of EHHADH small interfering RNA significantly suppressed the proliferation ability of the tumor cells. Moreover, EHHADH overexpressed was found in human OS tissues. In summary, the progression of OS could be enhanced by EHHADH, which may be a potential diagnostic and prognostic biomarker for OS patients.

Citing Articles

LncRNA Gm35585 transcriptionally activates the peroxidase EHHADH against diet-induced fatty liver.

Jin M, Lu Q, Xia N, Fan X, Zhang Z, Huang X Exp Mol Med. 2025; .

PMID: 40082671 DOI: 10.1038/s12276-025-01420-5.

Retracted: Increased EHHADH Expression Predicting Poor Survival of Osteosarcoma by Integrating Weighted Gene Coexpression Network Analysis and Experimental Validation.

International B Biomed Res Int. 2024; 2024:9782859.

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VHL-dependence of EHHADH Expression in a Human Renal Cell Carcinoma Cell Line.

Pilz J, Klein M, Neumann-Haefelin E, Ganner A J Kidney Cancer VHL. 2024; 11(1):12-18.

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The Physiological and Pathological Role of Acyl-CoA Oxidation.

Szrok-Jurga S, Czumaj A, Turyn J, Hebanowska A, Swierczynski J, Sledzinski T Int J Mol Sci. 2023; 24(19).

PMID: 37834305 PMC: 10573383. DOI: 10.3390/ijms241914857.

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