UNASSIGNED: This study aims to develop a machine learning (ML) model to predict the risk of residual or recurrent high-grade cervical intraepithelial neoplasia (CIN) after loop electrosurgical excision procedure (LEEP), addressing a critical gap in personalized follow-up care.
UNASSIGNED: A retrospective analysis of 532 patients who underwent LEEP for high-grade CIN at Cangzhou Central Hospital (2016-2020) was conducted. In the final analysis, 99 women (18.6%) were found to have residual or recurrent high-grade CIN (CIN2 or worse) within five years of follow-up. Four feature selection methods identified significant predictors of residual or recurrent CIN. Eight ML algorithms were evaluated using performance metrics such as AUROC, accuracy, sensitivity, specificity, PPV, NPV, F1 score, calibration curve, and decision curve analysis. Fivefold cross-validation optimized and validated the model, and SHAP analysis assessed feature importance.
UNASSIGNED: The XGBoost algorithm demonstrated the highest predictive performance with the best AUROC. The optimized model included six key predictors: age, ThinPrep cytologic test (TCT) results, HPV classification, CIN severity, glandular involvement, and margin status. SHAP analysis identified CIN severity and margin status as the most influential predictors. An online prediction tool was developed for real-time risk assessment.
UNASSIGNED: This ML-based predictive model for post-LEEP high-grade CIN provides a significant advancement in gynecologic oncology, enhancing personalized patient care and facilitating early intervention and informed clinical decision-making.

OBJECTIVE: To explore the effectiveness of HPV 16/18 E7 oncoprotein in detecting high-grade cervical intraepithelial neoplasia (CIN) and predicting disease outcomes in HPV 16/18-positive patients.
METHODS: The present study was a cross-sectional study with a 2-year follow up. We collected 915 cervical exfoliated cell samples from patients who tested positive for HPV 16/18 in gynecologic clinics of three tertiary hospitals in Beijing from March 2021 to October 2022 for HPV 16/18 E7 oncoprotein testing. Subsequently, 2-year follow up of 408 patients with baseline histologic CIN1 or below were used to investigate the predictive role of HPV 16/18 E7 oncoprotein in determining HPV persistent infection and disease progression.
RESULTS: The positivity rate of the HPV 16/18 E7 oncoprotein assay was 42.06% (249/592) in the inflammation/CIN 1 group and 85.45% (277/324) in the CIN2+ group. For CIN2+ detection, using the HPV 16/18 E7 oncoprotein assay combined with HPV 16/18 testing, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 85.45%, 57.94%, 52.57%, and 87.95%, respectively. During the 2-year follow up, the sensitivity, specificity, PPV, and NPV for predicting persistent HPV infection were 48.44%, 58.21%, 34.64%, and 71.18% in the baseline inflammation and CIN1 group.
CONCLUSIONS: As a triage method for high-grade CIN screening in HPV 16/18-positive patients, HPV 16/18 E7 oncoprotein demonstrated a relatively high NPV, making it suitable for clinical use in triaging HPV 16/18-positive cases and potentially reducing the colposcopic referral rate. HPV 16/18 E7 oncoprotein exhibited a preferably predictive value in determining HPV infection outcomes and disease progression.

UNASSIGNED: Vaginal microbiota is involved in human papillomavirus (HPV) infection and cervical cancer (CC) progression, and the specific changes in vaginal microbial composition during this process remains uncertain.
UNASSIGNED: This study aimed to observe the changes in the specific composition of vaginal microorganisms in different cervical lesions and identify biomarkers at different stages of lesions.
UNASSIGNED: In this study we used the illumina high-throughput gene sequencing technology to determine the V4 region of 16SrRNA and observed the vaginal microbial composition in different cervical lesions.
UNASSIGNED: The vaginal microbiota of patients with high-risk HPV infection and cervical lesions is significantly different from that of the normal population, but there is no significant difference in the richness of vaginal microbes. The diversity of vaginal species in CC patients is higher than that in high-risk HPV infection or CIN patients. The main manifestation is an increase in the diversity of vaginal microbes, a decrease in the relative abundance of cyanobacteria and Lactobacillus, and an increase in the relative abundance of dialister, peptonephila and other miscellaneous bacteria. There are characteristic vaginal biomarker in normal women, high risk HPV patients and CC patients. In detail, the biomarker in the normal group was varibaculum, the biomarker in the high-risk HPV group was saccharopolyspora, the biomarker of the CC group was the Proteobacteria, Corynebacterium, Coprococcus, Peptococcus and Ruminococcus.
UNASSIGNED: The study indicated that the compositions of vaginal microbes in different cervical lesions is different. The vaginal microbial composition has a certain diagnostic effect on healthy women, patients with high-risk HPV infection and cervical lesions. These microbes may serve as potential biomarkers for CC. It also provided an effective way for the treatment of HPV infections and cervical lesions.

UNASSIGNED: Analyze women treated with underwent cold knife conization (CKC) to remove advanced squamous intraepithelial lesions (CIN) of the cervix. The histopathological upgrading of the lesions previously detected on vaginal biopsy and postoperative pregnancy outcomes of were investigated, to identify high-risk subgroups in women.
UNASSIGNED: A retrospective study was conducted at the First Central Hospital of Baoding City from June 2019 to December 2022 to analyze confirmed cases of Cervical Intraepithelial Neoplasia CIN-II and CIN-III. Investigation of pathological changes in postoperative pathological tissues, and to perform binary logistic analysis to identify risk factors for histopathological escalation in postoperative lesions. We analyze the effects of CKC surgery on pregnancy outcomes in patients by comparing against a control group of healthy pregnant women.
UNASSIGNED: Out of the 176 patients diagnosed with CIN-II who underwent cervical biopsy, 39 (22.16%) were found to have a final specimen diagnosis of CIN-III, while 7 (3.98%) were downgraded to CIN-I. Among the 108 patients diagnosed with CIN-III who underwent cervical biopsy, 7 cases (6.48%) were ultimately confirmed to have CIN-III. Ki67-positive, p16-positive (OR = 1.13, 95% CI 1.01-1.15), and colposcopy biopsy for CIN-II (OR = 1.59, 95% CI 1.33-3.6) were independent risk factors for pathological upgrade after CKC. Compared with healthy pregnant women, CIN patients had higher rates of premature birth (14.4%), premature rupture of the fetal membrane (13.6%), and cesarean section (37.5%) (P < 0.05). The mode of conception, abortion rate, ectopic pregnancy rate, and postpartum hemorrhage were not different between healthy pregnant women and CIN patients (P > 0.05).
UNASSIGNED: Following cervical multi-point biopsy or CKC, along with pathological examination, the accurate diagnosis of cervical lesions is crucial as it allows for more precise identification of such lesions. Additionally, CKC increases the risk of premature birth, premature rupture of membranes, and the need for cesarean section.

The vaginal microbiome (VM) is associated with human papillomavirus (HPV) infection and progression, but a thorough understanding of the relation between HPV infection, and VM needs to be elucidated. From August to December 2022, women who underwent routine gynecological examinations were screened for HPV infection. The distribution of HPV variants and clinical characteristics were collected. Then, a total of 185 participants were enrolled and divided into HPV-negative (HC), high-risk HPV (H), low-risk HPV (L), multiple high-risk HPV (HH), and mixed high-low risk HPV (HL) groups. Samples were collected from the mid-vagina of these 185 participants and sent for 16S rDNA sequencing (V3-V4 region). Among 712 HPV-positive women, the top 3 most frequently detected genotypes were HPV52, HPV58, and HPV16. Among 185 participants in the microbiology study, the β diversity of the HC group was significantly different from HPV-positive groups (P < 0.001). LEfSe analysis showed that Lactobacillus iners was a potential biomarker for H group, while Lactobacillus crispatus was for L group. Regarding HPV-positive patients, the α diversity of cervical lesion patients was remarkably lower than those with normal cervix (P < 0.05). Differential abundance analysis showed that Lactobacillus jensenii significantly reduced in cervical lesion patients (P < 0.001). Further community state type (CST) clustering displayed that CST IV was more common than other types in HC group (P < 0.05), while CST I was higher than CST IV in H group (P < 0.05). Different HPV infections had distinct vaginal microbiome features. HPV infection might lead to the imbalance of Lactobacillus spp. and cause cervical lesions.
OBJECTIVE: In this study, we first investigated the prevalence of different HPV genotypes in south China, which could provide more information for HPV vaccinations. Then, a total of 185 subjects were selected from HPV-negative, high-risk, low-risk, multiple hr-hr HPV infection, and mixed hr-lr HPV infection populations to explore the vaginal microbiome changes. This study displayed that HPV52, HPV58, and HPV16 were the most prevalent high-risk variants in south China. In addition, high-risk HPV infection was featured by Lactobacillus iners, while low-risk HPV infection was by Lactobacillus crispatus. Further sub-group analysis showed that Lactobacillus jensenii was significantly reduced in patients with cervical lesions. Finally, CST clustering showed that CST IV was the most common type in HC group, while CST I accounted the most in H group. In a word, this study for the first time systemically profiled vaginal microbiome of different HPV infections, which may add bricks to current knowledge on HPV infection and lay the foundation for novel treatment/prevention development.

BACKGROUND: This study aimed to investigate whether persistent human papillomavirus integration at the same loci (PHISL) before and after treatment can predict recurrent/residual disease in women with CIN2-3.
METHODS: A total of 151 CIN2-3 women treated with conization between August 2020 and September 2021 were included. To investigate the precision of HPV integration, we further analyzed HPV integration-positive patients. Sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively), and the Youden index for predicting recurrence/residual disease were calculated.
RESULTS: Among the 151 enrolled CIN2-3 women, 56 were HPV integration-positive and 95 had HPV integration-negative results. Six (10.7%) experienced recurrence among 56 HPV integration-positive patients, which was more than those in HPV integration-negative patients (one patient, 1.1%). In the 56 HPV integration-positive patients, 12 had positive HPV results after treatment, seven had PHISL, and two had positive cone margin. Among the seven patients who tested with PHISL, six (85.7%) had residual/recurrent disease. PHISL was a prominent predictor of persistent/recurrent disease. The HPV test, the HPV integration test, and PHISL all had a sensitivity of 100% and a NPV of 100% for residual/recurrent disease. PHISL showed better specificity (98.0% vs. 82.0%, p = 0.005) and PPV (85.7% vs. 40.0%, p = 0.001) than the HPV test for predicting recurrence.
CONCLUSIONS: The HPV-integration-positive CIN2-3 women had much higher relapse rates than HPV-integration-negative CIN2-3 women. The findings indicate that PHISL derived from preoperative and postoperative HPV integration tests may be a precise biomarker for the identification of residual/recurrent CIN 2/3.

Cervical cancer (CC) remains a major health concern globally, much of the brunt of which is experienced by the low- and middle-income countries where screening in terms of cytology and DNA genotyping for the high-risk oncogenic subtypes of the human papilloma virus (hr-HPV) is either inadequate or performed rather late. In this study, we aimed to determine biomarkers or panels of biomarkers that are capable of diagnosing the precancerous cervical intraepithelial neoplasia (CIN) stages from healthy and CC patients via untargeted gas chromatography-mass spectrometry-based metabolomics. Various cross-comparisons were conducted from which differential metabolites were identified. The underlying metabolic pathways based on the differential metabolites identified from the various cross-comparisons mainly related to amino acids biosynthesis and metabolism and steroid hormone biosynthesis. From all cross-comparisons, two common metabolites namely, 2-methyl-1-propylamine (also known as isobutylamine) and estrone were found to possess excellent to good diagnostic abilities, especially in distinguishing the early stages of CIN (CIN I, CIN II) from healthy women and CC patients. These findings have clinical significance in the sense that, once validated the 2-biomarker panel could be adopted in clinical practice for early diagnosis of CIN and invasive carcinoma. This would therefore inform the choice of treatment to be initiated by the clinician.

UNASSIGNED: To explore the role of vaginal microbiota and metabolomics in the progression of cervical dysplasia.
UNASSIGNED: The patient group consists of female patients with low-grade, high-grade cervical dysplasia, and cervical cancer. Normal cervix samples from health volunteers were used as controls. The metabolic fingerprints of cervicovaginal lavage were analyzed using liquid chromatography-mass spectrometry, while the vaginal microbiota was examined through 16S rRNA sequencing. Bioinformatic analysis was adopted to investigate the interplay between hosts and microbes. The vaginal metabolic and microbiota profiles of 90 female patients with cervical dysplasia and 10 controls were analyzed to discover the biological characteristics underlying the progression of cervical cancer.
UNASSIGNED: We found that Valyl-Glutamate, N, N\'-Diacetylbenzidine, and Oxidized glutathione, which were involved in oxidative stress response, were discriminators to distinguish the normal cervix, invasive cervical carcinomas, and CIN3 from others. Cervical carcinoma was characterized by a large variety of vaginal microbes (dominated by non-Lactobacillus communities) compared to the control. These microbes affected amino acid and nucleotide metabolism, producing metabolites with cervical carcinoma and genital inflammation compared to the control group.
UNASSIGNED: This study revealed that cervicovaginal metabolic profiles were determined by cervical cancer, vaginal microbiota, and their interplays. ROS metabolism can be used to discriminate normal cervix, CIN3, and invasive cervical carcinoma.

BACKGROUND: Immunohistochemistry (IHC) is widely used in the management of patients with cervical intraepithelial neoplasia (CIN) but still has many limitations in clinical practice. We analyzed the correlation of new biomarkers with the severity of CIN and follow-up outcomes in patients after conization to improve the management of patients with CIN.
METHODS: IHC staining of Eag1 and p16/Ki-67 was performed on cervical tissue sections from 234 patients with suspected CIN2/3. After a series of follow-ups, including human papillomavirus (HPV) test and thinprep cytologic test (TCT) for 1-2 years, the outcomes were collected. IHC scores of biomarkers and follow-up results were used to analyze the correlation and assess the diagnostic efficiency of biomarkers.
RESULTS: The IHC staining intensity of Eag1 and p16/Ki-67 was significantly different from that of the CIN1-3 groups (p < 0.05). Eag1 expression scores were significantly different in the distribution between the two follow-up groups (p < 0.001). ROC curves based on the correlations between the follow-up outcomes and the Eag1 scores and IS of p16/ki-67 showed that Eag1 had a greater AUC (0.767 vs. 0.666). Logistic regression analysis of the combination of biomarkers revealed a greater AUC value than any single biomarker.
CONCLUSIONS: Eag1 expression was significantly correlated with CIN grade and follow-up outcomes after conization. IHC staining of combinations of biomarkers of Eag1, p16 and Ki-67 may help us to improve the ability to identify risk groups with abnormal follow-up outcomes after treatment for CIN.

BACKGROUND: The purpose of this study was to predict the risk factors for residual lesions in patients with high-grade cervical intraepithelial neoplasia who underwent total hysterectomy.
METHODS: This retrospective study included 212 patients with histologically confirmed high-grade cervical intraepithelial neoplasia (CIN2-3) who underwent hysterectomy within 6 months after loop electrosurgical excision procedure (LEEP). Clinical data (e.g., age, menopausal status, HPV type, and Liquid-based cytology test(LCT) type), as well as pathological data affiliated with endocervical curettage (ECC), colposcopy, LEEP and hysterectomy, were retrieved from medical records. A logistic regression model was applied to estimate the relationship between the variables and risk of residual lesions after hysterectomy.
RESULTS: Overall, 75 (35.4%) patients had residual lesions after hysterectomy. Univariate analyses revealed that positive margin (p = 0.003), glandular involvement (p = 0.017), positive ECC (p < 0.01), HPV16/18 infection (p = 0.032) and vaginal intraepithelial neoplasia (VaIN) I-III (p = 0.014) were factors related to the presence of residual lesions after hysterectomy. Conversely, postmenopausal status, age ≥ 50 years, ≤ 30 days from LEEP to hysterectomy, and LCT type were not risk factors for residual lesions. A positive margin (p = 0.025) and positive ECC (HSIL) (p < 0.001) were identified as independent risk factors for residual lesions in multivariate analysis.
CONCLUSIONS: Our study revealed that positive incisal margins and ECC (≥ CIN2) were risk factors for residual lesions, while glandular involvement and VaIN were protective factors. In later clinical work, colposcopic pathology revealed that glandular involvement was associated with a reduced risk of residual uterine lesions. 60% of the patients with residual uterine lesions were menopausal patients, and all patients with carcinoma in situ in this study were menopausal patients. Therefore, total hysterectomy may be a better choice for treating CIN in menopausal patients with positive margins and positive ECC.