Objective: p73 and p63 are two structural and functional homologs of p53, and their biological functions in cancer progression have attracted attention due to the presence of variants generated by genetic polymorphisms. Recently, three single nucleotide polymorphisms (SNPs) in the p63 and p73 genes have been associated with female reproduction. In the present study, we aimed to evaluate the relationship between these SNPs and ovarian cancer susceptibility and clinical pathology.
Methods: We genotyped the p63 (rs873330 [Genbank, refSNP ID] T > C [T: original base, C: mutant base]) and p73 (rs4648551 G > A and rs6695978 G > A) SNPs in ovarian cancers and healthy controls and analyzed the distributions of genotype frequencies to evaluate the association of the genotypes with the risk of ovarian cancer and the clinicopathological characteristics. Logistic regression models were applied in statistical analyses.
Results: Our research revealed that p73 rs6695978 G > A was significantly associated with ovarian cancer patients. Women with the A allele were at increased risk of ovarian cancer compared to carriers of the G allele (OR = 1.55; 95% CI:1.07-2.19; P = 0.003). Meanwhile, the at-risk A allele was positively related with the occurrence of mucinous ovarian cancer (OR = 3.48; 95% CI:1.15-6.83; P = 0.001), low degree of differentiation (OR = 1.87; 95% CI:1.03-3.47; P = 0.003), lymph node metastasis (OR = 1.69; 95% CI: 1.14-2.75; P = 0.010) and estrogen receptor positive (OR = 2.72; 95% CI: 1.38-4.81; P = 0.002). However, we were unable to find any associations of the polymorphisms in another two SNPs (rs4648551 G > A, rs873330 T > C) with ovarian cancer risk and clinicopathological parameters.
Conclusions: The p73 rs6695978 G > A polymorphism will serve as a modifier of ovarian cancer susceptibility and prognosis. Further investigations with large sample sizes and of the mechanistic relevance of p73 polymorphism will be warranted.
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http://dx.doi.org/10.1186/1756-9966-31-89 | DOI Listing |
PLoS One
January 2025
Departement of Epidemiology, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Introduction: Ovarian cancer is one of the most lethal gynecological cancers. Despite diagnosis and treatment advances, survival rates have not increased over the past 32 years. This study estimated and reported the global burden of ovarian cancer during the past 32 years to inform preventative and control strategies.
View Article and Find Full Text PDFJ Clin Rheumatol
November 2024
From the Internal Medicine Department, Health Research Institute Puerta de Hierro-Segovia de Arana (IDIPHIM) Hospital Universitario Puerta de Hierro Majadahonda.
Objective: To evaluate the impact of the different types of neoplasms and lineages on Sjögren syndrome (SjS) patient mortality.
Methods: Medical records review study based on the Spanish Hospital Discharge Database and the International Classification of Diseases, Tenth Revision, Clinical Modification coding list. The neoplasm-related deaths in SjS patients with the general population during the period 2016-2019 were compared.
BJOG
January 2025
Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Obstetrics and Gynecology, Nijmegen, The Netherlands.
Objective: To compare menopause-related quality of life (QoL) after risk-reducing salpingectomy (RRS) versus risk-reducing salpingo-oophorectomy (RRSO) until 3 years of post-surgery.
Design: A prospective study (TUBA study) with treatment allocation based on patients' preference. Data were collected pre-surgery and at 3 months, 1 and 3 years of post-surgery.
Open Med (Wars)
January 2025
Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, P.R. China.
Primary chemoresistance to platinum-based treatment is observed in approximately 33% of individuals diagnosed with ovarian cancer; however, conventional clinical markers exhibit limited predictive value for chemoresistance. This study aimed to discover new genetic markers that can predict primary resistance to platinum-based chemotherapy. Through the analysis of three GEO datasets (GSE114206, GSE51373, and GSE63885) utilizing bioinformatics methodologies, we identified two specific genes, MFAP4 and EFEMP1.
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