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© 2018. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background: DEP domain containing mammalian target of rapamycin (mTOR)-interacting protein (DEPTOR), a recently discovered endogenous inhibitor of mTOR, has been found to be abnormally expressed in various tumors. Recent studies have demonstrated that DEPTOR could serve as a potential prognostic biomarker in several kinds of cancer. However, the prognostic value of DEPTOR is still controversial so far.

Patients and methods: PubMed, Embase and Web of Science were systematically searched to obtain all relevant articles about the prognostic value of DEPTOR in cancer patients. ORs or HRs with corresponding 95% CIs were pooled to estimate the association between DEPTOR expression and the clinicopathological characteristics or survival of cancer patients.

Results: A total of nine eligible studies with 974 cancer patients were included in our meta-analysis. Our results demonstrated that the expression of DEPTOR was not associated with the overall survival (OS) (pooled HR=0.795, 95% CI=0.252–2.509) and event-free survival (EFS) (pooled HR=1.244, 95% CI=0.543–2.848) in cancer patients. Furthermore, subgroup analysis divided by sample size, type of cancer, Newcastle–Ottawa Scale (NOS) score and evaluation of DEPTOR expression showed identical prognostic value. In addition, our analysis also revealed that there was no significant association between expression level of DEPTOR and clinicopathological characteristics, such as tumor stage, lymph node metastasis, differentiation grade and gender.

Conclusion: Our meta-analysis suggested that despite the fact that DEPTOR could be overexpressed or downregulated in cancer patients, it might not be a potential marker to predict the prognosis of cancer patients.

Details

Title
Prognostic and clinicopathological significance of DEPTOR expression in cancer patients: a meta-analysis
Author
Hu, Binwu; Shi, Deyao; Lv, Xiao; Wu, Fashuai; Chen, Songfeng; Shao, Zengwu
Pages
5083-5092
Section
Original Research
Publication year
2018
Publication date
2018
Publisher
Taylor & Francis Ltd.
e-ISSN
1178-6930
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2242439551
Copyright
© 2018. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.