PARP1 as a prognostic biomarker for human cancers: a meta-analysis
| Autor: | Sun-Jun Yin, Yan-Hua Huang, Yuan-Yuan Gong, Tao Zhou, Yu-Xin Fan, Gong-Hao He, Zhi-Ran Li, Qin Yang, Rui Meng, Ping Wang |
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| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty Bioinformatics analysis Clinical Biochemistry Poly (ADP-Ribose) Polymerase-1 Disease-Free Survival Gene Expression Regulation Enzymologic PARP1 Internal medicine Neoplasms Drug Discovery medicine Overall survival Biomarkers Tumor Humans Prognostic biomarker business.industry Biochemistry (medical) Cancer medicine.disease Neoplasm Proteins Gene Expression Regulation Neoplastic Survival Rate Meta-analysis Clinicopathological features Biomarker (medicine) business |
| Zdroj: | Biomarkers in medicine. 15(16) |
| ISSN: | 1752-0371 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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