AccScience Publishing / TD / Volume 1 / Issue 1 / DOI: 10.36922/td.v1i1.59
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RESEARCH ARTICLE

The clinicopathological and prognostic significance of PD-1 expression in cancers: A bioinformatics analysis

Shuai Shi1 Zhi-Gang Zhang1 Guan-Ying Ma1 Hong-Yan Ma1*
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1 Department of Pathology, Cangzhou People’s Hospital, Cangzhou, China
Tumor Discovery 2022 , 1(1), 59; https://doi.org/10.36922/td.v1i1.59
Submitted: 6 December 2021 | Accepted: 1 April 2022 | Published: 15 April 2022
© 2022 by the Authors. Licensee AccScience Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Background: Programmed cell death protein 1 (PD-1), which is encoded by PDCD1 gene, is a cell-surface protein of immunoglobin family. A number of published studies have reported the relationship between PD-1 expression and prognosis in cancers. The purpose of our study was to identify an independent prognostic marker.

Methods: In the present study, we investigated the prognostic value of PD-1 mRNA expression through the Kaplan–Meier plotter databases.

Results: The expression of PD-1 mRNA was negatively related with the overall survival (OS) rate of gastric cancer, but positively associated with the OS rate of breast cancer, ovarian cancer and liver cancer (P < 0.05). High PD-1 mRNA expression was linked to an improved relapse-free survival rate of breast cancer, ovarian cancer, and liver cancer (P < 0.05). There was a negative correlation with post-progression survival in gastric cancer (P < 0.05). Besides, there was a positive correlation with progression-free survival and disease specific survival in liver cancer. We also further evaluated the prognostic value of PD-1 in relation to different clinicopathological features of cancers.

Conclusion: Our results showed that PD-1 expression might be a good marker for the prognosis of patients with cancers, which highlights new methods and ideas for preventive treatment.

Keywords
Programmed cell death protein 1
Bioinformatics analysis
Clinicopathological features
Carcinoma
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Conflict of interest
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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Tumor Discovery, Electronic ISSN: 2810-9775, Print ISSN: TBA, Published by AccScience Publishing