Scholarlink

Background <p>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.</p> Methods <p>Relevant original articles were identified through a comprehensive search in the PubMed, EMBASE, and Web of Science databases up until January 14, 2025.</p> Results <p>The studies showed low heterogeneity (<i>I</i><sup>2</sup> = 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, <i>P</i> &lt; 0.001). Sensitivity analysis indicated a pooled OR ranging from 7.13 (95% CI 4.19–12.11, <i>P</i> &lt; 0.001) to 11.39 (95% CI 6.00–21.60, <i>P</i> &lt; 0.001). Significant correlations were also found in subgroups based on region, publication year, and Newcastle–Ottawa Scale (NOS) scores. Moreover, Begg's test (<i>P</i> = 0.26) and Egger's test (<i>P</i> = 0.57) results suggested a low risk of publication bias.</p> Conclusions <p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月19日

查看全文
  • Hao Zhan,
  • Bo Sun,
  • Xijiao Jiang,
  • Farong Zhang,
  • Wuchen Wang,
  • Yong Luo

摘要

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 (I2 = 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.