This retrospective single-center study included patients diagnosed with epithelial ovarian cancer (EOC) using preoperative pelvic magnetic resonance imaging (MRI). The apparent diffusion coefficient (ADC) of the axial MRI maps that included the largest solid portion of the ovarian mass was analysed. The mean ADC values (ADC_mean) were derived from the regions of interest (ROIs) of each largest solid portion. Logistic regression and three types of machine learning (ML) applications were used to analyse the ADCs and clinical factors. Of the 200 patients, 103 had high-grade serous ovarian cancer (HGSOC), and 97 had non-HGSOC (endometrioid carcinoma, clear cell carcinoma, mucinous carcinoma, and low-grade serous ovarian cancer). The median ADC_mean of patients with HGSOC was significantly lower than that of patients without HGSOCs. Low ADC_mean and CA 19-9 levels were independent predictors for HGSOC over non-HGSOC. Compared to stage I disease, stage III disease was associated with HGSOC. Gradient boosting machine and extreme gradient boosting machine showed the highest accuracy in distinguishing between the histological findings of HGSOC versus non-HGSOC and between the five histological types of EOC. In conclusion, ADC_mean, disease stage at diagnosis, and CA 19-9 level were significant factors for differentiating between EOC histological types.

Purpose We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).Materials and Methods Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.Results Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.Conclusion In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.

Cervical premalignancy/malignancy, as detected by cervical cytology or biopsy, can develop as a result of human papillomavirus (HPV) infection. Meanwhile, DNA methylation is known to be associated with carcinogenesis. In this study, we thus attempted to identify the association between MGMT methylation and persistent HPV infection using an Epi-TOP MPP assay. Integrative analysis of DNA methylation was carried out here using longitudinal cervical cytology samples of seven patients with atypical squamous cells of undetermined significance/low-grade squamous intraepithelial lesion (ASC-US/LSIL). Then, a gene expression analysis using the longitudinal cervical cytology samples and a public database (The Cancer Genome Atlas (TCGA)) was performed. Upon comparing the ASC-US or LSIL samples at the 1st collection and the paired samples at the 2nd collection more than 6 months later, we found that they became hypermethylated over time. Then, using the longitudinal data, we found that the MGMT methylation was associated with HPV infection. Moreover, TCGA dataset revealed an association between downregulated MGMT mRNA expression and poor overall survival. This decreased MGMT mRNA expression was observed to have an inverse relationship with MGMT methylation levels. In this study, we found that the MGMT methylation level could potentially serve as a valuable prognostic indicator for the transition from ASC-US/LSIL to cervical cancer.

Background/Objectives: This study evaluated the real-world effectiveness of prophylactic Human Papillomavirus (HPV) vaccination in Korean women aged over 26 years, focusing on its impact on persistent HPV infection and disease progression. Methods: This multicenter prospective study analyzed data from the Korea HPV Cohort (2010–2021). After applying exclusion criteria, the final analytical cohort included 1,231 women aged ≥ 27 years with cytologic findings of atypical squamous cells of undetermined significance/low-grade squamous intraepithelial lesions and HPV infection. Propensity score matching was used to compare vaccinated (n = 340) and unvaccinated (n = 891) participants. After matching, 273 vaccinated and 273 unvaccinated individuals were included in the final analysis. The primary outcomes were persistent HPV infection and progression to biopsy-confirmed cervical intraepithelial neoplasia grade 2 or worse (CIN2+). Logistic and Cox regression models were employed, with additional age-stratified analyses. Results: Among women aged 27–39 years, vaccination was significantly associated with a 54% reduction in the odds of persistent HPV infection (odds ratio = 0.46; 95% CI: 0.22–0.96; p = 0.040). In the full cohort, vaccinated participants had a 62% lower risk of progression to CIN2+ compared with unvaccinated participants (hazard ratio = 0.38; 95% CI: 0.18–0.81; p = 0.011). Body mass index had a notable impact on HPV persistence in HPV 16/18 genotype groups. Conclusions: HPV vaccination effectively reduced persistent infection and progression to CIN2+ in Korean women, particularly those vaccinated before age 40. These findings support the age-extended HPV vaccination policies in South Korea.

Globally, the incidence of gastric cancer is lower in women than in men. It is thought that menstrual and reproductive factors may be related to their lower incidence of gastric cancer. This cross-sectional study examined menstrual, reproductive, and other factors in 20,784 postmenopausal women from the 2007–2020 Korea National Health and Nutrition Examination Survey (KNHANES). A univariate logistic regression analysis was performed, and then a multivariate logistic regression analysis for significant factors in the univariate analysis was conducted. In the multivariate logistic regression analysis, the age at menarche (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.00−1.06, p = 0.035) and myocardial infarction (OR 2.43, 95% CI 1.05−5.62, p = 0.026) showed a significant association with increased incidence of gastric cancer. The age at menopause (OR 0.97, 95% CI 0.95−1.00, p = 0.03), the age at the first childbirth (OR 0.93, CI 0.89−0.97, p = 0.007), and the experience of alcohol consumption (OR 0.68, 95% CI 0.5–0.91, p = 0.003) showed a significant association with a decreased incidence of gastric cancer. Late menarche, early menopause, early aged first childbirth, and myocardial infarction are estimated to be risk factors for gastric cancer in postmenopausal Korean women.

Background/Objective: Few studies have examined the direct relationship between cervical cancer and immune-related diseases. Therefore, this study aims to identify the association between cervical cancer and various underlying medical conditions using data from the Korean National Health Insurance System (NHIS). Methods: This retrospective cohort study was conducted using NHIS data from 2006 to 2022. A total of 1,344,628 women aged 19 years and older were included, of whom 68,275 were diagnosed with cervical cancer. Comorbidities were evaluated. The statistical analyses conducted included independent t-tests, chi-square tests, and multivariate logistic regression models to determine relative risks (RRs) and 95% confidence intervals (CIs). Results: The mean age of the patients with cervical cancer was significantly lower than that of the general population group. Body mass index and hypertension prevalence were higher in the cervical cancer group than in the general population group. Significant associations were observed between cervical cancer and respiratory tuberculosis (RR: 1.32, 95% CI: 1.27–1.38, p < 0.001), ischemic heart disease (RR: 1.72, 95% CI: 1.69–1.76, p < 0.001), chronic rheumatic heart disease (RR: 1.53, 95% CI: 1.44–1.64, p < 0.001), chronic viral hepatitis (RR: 1.33, 95% CI: 1.31–1.36, p < 0.001), and hematological malignancies (RR: 1.87, 95% CI: 1.67–2.09, p < 0.001). Conversely, cerebrovascular disease was associated with a reduced risk of cervical cancer (RR: 0.58, 95% CI: 0.57–0.60, p < 0.001). Conclusion: This study highlights the increased risk of cervical cancer in individuals with specific underlying diseases. These findings underscore the need for tailored screening and prevention strategies in high-risk populations.