The relationship between p53 and the malignant transformation of nasal inverted papilloma: a meta-analysis

Abstract Background The nasal inverted papilloma (NIP) is a neoplasm that originates from the mucosal lining of the nasal cavity and paranasal sinuses. A meta-analysis was conducted to investigate the link between p53 dysregulation and prognosis in patients with NIP. Methods Relevant original articles were identified through a comprehensive search in the PubMed, EMBASE, and Web of Science databases up until January 14, 2025. Results The studies showed low heterogeneity ( I 2 = 31%), allowing the use of the fixed effect model (FEM). The forest plot revealed a significant association between p53 dysregulation and the malignant transformation and progression of NIP, with an odds ratio (OR) of 7.93 (95% CI 4.74–13.28, P < 0.001). Sensitivity analysis indicated a pooled OR ranging from 7.13 (95% CI 4.19–12.11, P < 0.001) to 11.39 (95% CI 6.00–21.60, P < 0.001). Significant correlations were also found in subgroups based on region, publication year, and Newcastle–Ottawa Scale (NOS) scores. Moreover, Begg's test ( P = 0.26) and Egger's test ( P = 0.57) results suggested a low risk of publication bias. Conclusions The meta-analysis underscores the strong relationship between p53 dysregulation and the malignant transformation of NIP. The practical applications of identifying p53 dysregulation in NIP patients have the potential to significantly impact clinical decision-making and patient outcomes.

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Publication Details

Journal
Egyptian Journal of Medical Human Genetics
Published
2025-03-19
DOI
https://doi.org/10.1186/s43042-025-00677-9
Citations
1
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
2.01
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article

The relationship between p53 and the malignant transformation of nasal inverted papilloma: a meta-analysis

Yong Luo, Wuchen Wang, Xijiao Jiang, Bo Sun et al.
1 citations
Egyptian Journal of Medical Human Genetics
Head and Neck Surgical Oncology
2.01
article

The relationship between p53 and the malignant transformation of nasal inverted papilloma: a meta-analysis

Yong Luo, Wuchen Wang, Xijiao Jiang, Bo Sun, Farong Zhang, Hao Zhan
article en
1 citations

Abstract

Abstract Background The nasal inverted papilloma (NIP) is a neoplasm that originates from the mucosal lining of the nasal cavity and paranasal sinuses. A meta-analysis was conducted to investigate the link between p53 dysregulation and prognosis in patients with NIP. Methods Relevant original articles were identified through a comprehensive search in the PubMed, EMBASE, and Web of Science databases up until January 14, 2025. Results The studies showed low heterogeneity ( I 2 = 31%), allowing the use of the fixed effect model (FEM). The forest plot revealed a significant association between p53 dysregulation and the malignant transformation and progression of NIP, with an odds ratio (OR) of 7.93 (95% CI 4.74–13.28, P < 0.001). Sensitivity analysis indicated a pooled OR ranging from 7.13 (95% CI 4.19–12.11, P < 0.001) to 11.39 (95% CI 6.00–21.60, P < 0.001). Significant correlations were also found in subgroups based on region, publication year, and Newcastle–Ottawa Scale (NOS) scores. Moreover, Begg's test ( P = 0.26) and Egger's test ( P = 0.57) results suggested a low risk of publication bias. Conclusions The meta-analysis underscores the strong relationship between p53 dysregulation and the malignant transformation of NIP. The practical applications of identifying p53 dysregulation in NIP patients have the potential to significantly impact clinical decision-making and patient outcomes.

Egyptian Journal of Medical Human GeneticsVol. 26(1)
The First People's Hospital of Jiangxia District (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 18%
Head and Neck Surgical Oncology
2.01
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The relationship between p53 and the malignant transformation of nasal inverted papilloma: a meta-analysis — Yong Luo, Wuchen Wang, et al. · Egyptian Journal of Medical Human Genetics (2025) | TGRS Research Map | TGRS