PARP1 as a prognostic biomarker for human cancers: a meta-analysis

Author:

Huang Yan-Hua12,Yin Sun-Jun2,Gong Yuan-Yuan2,Li Zhi-Ran2,Yang Qin2,Fan Yu-Xin2,Zhou Tao2,Meng Rui2,Wang Ping2,He Gong-Hao12ORCID

Affiliation:

1. Research Center of Clinical Pharmacology, Yunnan Provincial Hospital of Traditional Chinese Medicine, 120 Guanghua Rd, Kunming, 650032, China

2. Department of Pharmacy, 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China

Abstract

Aim: A comprehensive meta-analysis was carried out to evaluate the association between high PARP1 expression and clinical outcomes in diverse types of cancers. Materials & methods: The electronic databases for all articles about PARP1 expression and cancers were searched. Additionally, bioinformatics analysis was utilized to validate the results of the meta-analysis. Results: Fifty-two studies with a total of 7140 patients were included in the current meta-analysis. High PARP1 expression was found to be significantly associated with poor overall survival and recurrence in various cancers, which were further strengthened and complemented by the results of bioinformatic analysis. Furthermore, increased PAPR1 expression was also related to clinicopathological features. Conclusion: Our findings confirmed that PARP1 might be a promising biomarker for prognosis in human cancers.

Funder

National Science Foundation of China

Science and Technology Program of 920th Hospital of Joint Logistics Support Force

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

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