Scholarlink

Objectives and aims <p>The combination of genetic and environmental factors may contribute to the carcinogenesis of HNC. Despite the reported associations between <i>xeroderma pigmentosum group D (XPD)</i> polymorphisms and HNC, the results have been inconsistent, with different studies reporting varying results. Therefore, our aim is to assess the association of three <i>XPD</i> polymorphisms (<i>rs13181</i>,<i> rs1799793</i>,<i> and rs238406</i>) in a comprehensive meta-analysis.</p> Materials and methods <p>An exhaustive literature review was performed across several databases, including PubMed, Web of Science, Scopus, and Cochrane Library, up to November 18, 2023, without any restrictions. The effect sizes were presented as the odds ratio (OR) with a 95% confidence interval (CI).</p> Results <p>Thirty-nine articles including 56 studies were entered into the meta-analysis. Evaluating <i>rs13181</i>,<i> rs1799793</i>, and <i>rs238406</i> polymorphisms in five genetic models, just significant associations were found for <i>rs1799793</i> polymorphism in heterozygous and dominant models. The findings reported that the ethnicity and the cancer subtype for <i>rs13181</i>, the ethnicity, the sample size, and the control source for <i>rs1799793</i>, and the ethnicity and the control source for <i>rs238406</i> polymorphisms were effective factors in the pooled results. Trial sequential analysis suggested that the studies included an insufficient number of individuals. Sensitivity analysis reported stability of pooled results. The XPD protein variants were predicted to be benign.</p> Conclusions <p>The study reveals a significant association between the <i>rs1799793</i> polymorphism and HNC, but not <i>rs13181</i> and <i>rs238406</i> polymorphisms. Future studies should also aim to minimize the impact of confounding factors and heterogeneity to ensure more accurate results.</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

Association of ERCC2/XPD polymorphisms and the risk of head and neck carcinoma: a systematic review, meta-analysis, trial sequential analysis, network analysis, and functional effects

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月8日

查看全文
  • Mohammad Moslem Imani,
  • Ali Ashabi,
  • Farzad Rezaei,
  • Atefe Saffar Shahroudi,
  • Sadegh Kashkouli,
  • Edris Sadeghi,
  • Masoud Sadeghi

摘要

Objectives and aims

The combination of genetic and environmental factors may contribute to the carcinogenesis of HNC. Despite the reported associations between xeroderma pigmentosum group D (XPD) polymorphisms and HNC, the results have been inconsistent, with different studies reporting varying results. Therefore, our aim is to assess the association of three XPD polymorphisms (rs13181, rs1799793, and rs238406) in a comprehensive meta-analysis.

Materials and methods

An exhaustive literature review was performed across several databases, including PubMed, Web of Science, Scopus, and Cochrane Library, up to November 18, 2023, without any restrictions. The effect sizes were presented as the odds ratio (OR) with a 95% confidence interval (CI).

Results

Thirty-nine articles including 56 studies were entered into the meta-analysis. Evaluating rs13181, rs1799793, and rs238406 polymorphisms in five genetic models, just significant associations were found for rs1799793 polymorphism in heterozygous and dominant models. The findings reported that the ethnicity and the cancer subtype for rs13181, the ethnicity, the sample size, and the control source for rs1799793, and the ethnicity and the control source for rs238406 polymorphisms were effective factors in the pooled results. Trial sequential analysis suggested that the studies included an insufficient number of individuals. Sensitivity analysis reported stability of pooled results. The XPD protein variants were predicted to be benign.

Conclusions

The study reveals a significant association between the rs1799793 polymorphism and HNC, but not rs13181 and rs238406 polymorphisms. Future studies should also aim to minimize the impact of confounding factors and heterogeneity to ensure more accurate results.