The relationship between p53 gene polymorphism and endometriosis

Meta-analysis shows a significant difference in p53 gene alleles in endometriosis patients

Key Points

Highlight:

• p53 gene polymorphism may have a potential role in the development of endometriosis. 

Importance:

• To understand the relationship between gene polymorphism and endometriosis prevalence, the evaluation of evidence-based medical data carries great importance.
• Targeted prevention and treatment strategies are essential while providing patients with care.

What's done here:

• A comprehensive literature search was conducted on various databases from 2001 to 2022 using specific keywords related to endometriosis and p53 gene polymorphism.
• Eight high-quality studies were included in the meta-analysis, involving a total of 2991 female patients with endometriosis.
• The quality of each document was evaluated, and statistically analyzed.

Key results

• GG genotype frequency of endometriosis patients in the experimental group was significantly lower than that in the control group.
• There was no significant difference in the frequency of GC genotypes.
• No significant difference in the CC genotype frequency between the experimental group and the control group was seen.
• A significant difference in allele G and allele C between the experimental group and the control group was reported.

Lay Summary

The p53 gene is a well-known tumor suppressor gene that plays a crucial role in preventing cancer by regulating cell growth and division. Recent studies suggest that the p53 gene may also be linked to endometriosis. To investigate the relationship between p53 gene polymorphism and endometriosis, Ma et al from China conducted a meta-analysis of published clinical control case studies from 2001 to 2022 with the aim of providing more evidence-based medical data for understanding the internal relationship between gene polymorphism and endometriosis prevalence. The results were published as a review article in the November 2022 issue of the journal Computational Intelligence and Neuroscience.

This is a comprehensive literature search on various databases from 2001 to 2022, through computer artificial intelligence systems using specific keywords related to endometriosis and p53 gene polymorphism. The inclusion and exclusion criteria were set, and the selected literature was independently screened, cross-checked, and analyzed. The quality of each document was evaluated, and statistical analysis was done using Revman5.3 data meta-analysis software.

The literature search yielded 489 articles, which were narrowed down to eight high-quality studies for inclusion which involved a total of 2991 female patients with endometriosis. The NOS scoring standard was used to evaluate the quality of the literature. Meta-analysis of these studies showed a significant difference in the GG genotype frequency and alleles G and C between endometriosis patients and non-endometriosis patients. However, there was no significant difference in the GC and CC genotype frequencies. The random effect model analysis also showed that there was a significant difference in allele G and allele C between the experimental group and the control group. No publication bias analysis was performed due to the limited number of articles.

The authors stated there was a drop in the GG gene frequency and an increase in allele C were found to increase the risk of this illness and suggested a potential role of p53 gene polymorphism in the development of endometriosis. They also highlighted the importance of natural drugs for the treatment of endometriosis, alongside commonly used antibiotics, such as amoxicillin and ornidazole.

Finally, the authors concluded that this meta-analysis provided valuable insights into the genetic basis of endometriosis and the need for targeted prevention and treatment strategies.

Research Source: https://pubmed.ncbi.nlm.nih.gov/36438681/