BACKGROUND: Human papillomavirus (HPV) self-sampling is recognized as a feasible option for enhancing screening for cervical cancer, particularly among hard-to-reach women. The magnitude of the effectiveness of screening participation under different invitation strategies was reported. This review seeks to compare the effectiveness of invitation strategies in increasing screening participation of HPV self-sampling across diverse study settings.
METHODS: A systematic literature search was conducted in Embase, MEDLINE, and PubMed in April 2023. Articles were included if (1) their target participants were aged between 25 and 70 years; (2) participants in the intervention arm were randomized to receive HPV self-sampling devices through various invitation strategies; (3) participants in the control arm who either received invitations for cervical cancer screening other than HPV self-sampling or opportunistic screening as usual care; (4) studies that provided sufficient data on screening participation in HPV self-sampling as outcome measured. The study design of the included articles was limited to randomized controlled trials.
RESULTS: A total of 15 articles were included in this review. Invitation strategies of disseminating HPV self-sampling devices included opt-out and opt-in. Meta-analysis revealed screening participation in the self-sampling group was significantly greater than control arm (OR 3.43, 95% CI 1.59-7.38), irrespective of the invitation strategy employed. Among invitation strategies, opt-out appeared to be more effective on increasing screening participation, compared to control and opt-in strategy (opt-out vs. control OR 3.91, 95% CI 1.82-8.42; opt-in vs. control OR 1.34, 95% CI 0.28-6.39).
CONCLUSIONS: Opt-out strategy is more successful at improving screening participation compared to opt-in and routine invitation to cervical screening. It is therefore a promising way to improve participation in cervical cancer screening. The findings of this review provide important inputs to optimize strategies for inviting women to participate in vaginal HPV self-sampling across the study setting, thus improving participation in cervical cancer screening.

To compare the clearance rate of high-risk human papillomavirus (HR-HPV) in patients with high-grade squamous intraepithelial lesion (HSIL) after 2 different treatments (conization vs hysterectomy), and investigate the influencing factors. A retrospective cohort was established in HSIL patients with HR-HPV infection treated with conization or hysterectomy from July 2020 to May 2022. Age matching (1:1) was conducted between conization group and hysterectomy group. Chi-square test and t-test were employed to compare baseline and clinical characteristics between the 2 groups (conization vs hysterectomy). In addition, univariate and multivariate logistic regression analyses were conducted to compare the influencing factors for HR-HPV clearance at 6 months after surgery. The HR-HPV clearance rates at 6 months were 70.6% and 73.8% in conization group and hysterectomy group in the matched groups, respectively (P = .755). Similarly, at 12 months, the clearance rates were 78.6% and 76.5% in the matched groups, respectively (P = .844). Considering different age groups among all patients, the HR-HPV clearance rates were 81.8%, 72.9%, 73.5%, and 53.6% in the 20 to 30-year, 31 to 40-year, 41 to 50-year and 51 to 60-year groups at 6 months, respectively, and the clearance rates were 87.5%, 80.6%, 84.5% and 52.9% at 12 months, respectively. For HSIL, the postoperative HPV clearance rates were similar between the 2 groups (conization vs hysterectomy), conization is enough to resect the lesion and eliminate HPV. In addition, we should pay attention to the postoperative HR-HPV status in the older population of the 2 groups.

High-risk human papilloma virus (HR-HPV) persistent infection is closely associated with the development of cervical cancer and squamous intraepithelial lesion (SIL).The α-9 HPVs, which is predominantly composed of HR-HPV types, account for 75% of HR-HPV infection in Sichuan. The oncoproteins E6 and E7 of HPV play a crucial role in tumor initiation and progression. Notably, HPV-35 is the only HR-HPV type within the α-9 genus that is not included in the nine-valent HPV prophylactic vaccine. Cervical cell samples obtained from Sichuan were collected for HPV detection and genotyping. Among the 406 HPV-positive samples, 31 HPV-35 were detected, 24 HPV-35 E6 and 26 E7 were successfully amplified and sequenced, five nucleotide mutations in E6 and three in E7 were detected, T232C, T434G of E6 (W78R, I145R) and C67T, G84T of E7 (H23Y, L28F) were non-synonymy mutation. PAML 4.8 server was used to detect positive selection sites of HPV-35 E6, E7, and E6 is W78R. Phyre2 were used to predict and analyze protein structures, W78R made influences on protein structure. IEDB were used to screen epitopes vaccine target for HPV-35 affection therapy, and 5 HPV-35 E6 and 3 HPV-35 E7 most potential epitopes were obtained, the most potential peptides for therapy vaccine design were 79-91YRYSVYGETLEKQ, 45-60FACYDLCIVREGQPY, 124-135RFHNIGGRWTGR of E6; 3-19GEITTLQDYVLDLEPEA, 38-47TIDGPAGQAK, 70-88VQSTHIDIRKLEDLLMGTF of E7 and W78R mainly decreased the epitopes affinity.Conclusions Amino acid substitution in the positive selection sites of HPV-35 E6 and E7 genes have been found to influence protein structure and to decrease the overall affinity of antigen epitopes. This observation aligns with the evolutionary significance of positive selection site, which may confer advantages to the virus by making infected cells more challenging for the immune system to detect, thereby enhancing HPV\'s adaptability to the host environment. The polymorphism analysis of HPV-35 E6, E7 contributes to the enrichment of α-9 HPV data in Sichuan China, which is instrumental in improving the effectiveness of clinical detection. Furthermore, these findings provide a relevant theoretical foundation for the prevention and treatment of HPV-related diseases.

BACKGROUND: Value analysis of a small-molecule fluorescent probe for methylation detection in different cervical lesions.
METHODS: (1) The grayscale values of distinct lesion tissues were remarkably distinct among the four groups (p < 0.05). The comparison of the grayscale value between the two groups showed that the CA group noticeably exceeded the LSIL and cervicitis groups, and the HSIL group was apparently higher than the LSIL and cervicitis groups (p < 0.05); (2) The mean grayscale values of the enrolled subjects were calculated with 55.21 as the midline, with >55.21 as positive and ≤55.21 as negative.
RESULTS: The results showed that the positive rate of the cervicitis group was 0.00%, the LSIL group 67.74%, the HSIL group 83.33%, and the CA group 100.00%. The results among the four groups were notably distinct (p < 0.05); (3) The comparison among DAPI, probe, bright, and merged images of cervicitis, LSIL, HSIL, and CA indicated that different cervical lesions were with quite various stains.
CONCLUSIONS: The grayscale value, positive rate, and stained picture of distinct cervical lesions were remarkably different. The small-molecule fluorescent probe has a good value in differentiating cervical lesions and can be considered for popularization and application.

BACKGROUND: As assessment tools of nutritional status, the controlling nutritional status (CONUT) and modified controlling nutritional status (mCONUT) score are associated with survival in various cancers. We aimed to investigate the association between the CONUT/mCONUT score\'s prognostic value and survival time in patients with FIGO stage IIB-IIIB cervical cancer treated with radiotherapy.
METHODS: In this retrospective study, 165 patients between September 2013 and September 2015 were analyzed, and the optimal CONUT/mCONUT score cut-off values were determined using receiver operating characteristic curves. Propensity score matching (PSM) was used to minimize selection bias. The Kaplan-Meier method and a Cox proportional hazard model were used to assess the CONUT/mCONUT score\'s predictive value linked to survival time. Two nomograms were created to predict the overall survival (OS) and progression-free survival (PFS).
RESULTS: The cut-off values for CONUT and mCONUT score were both 2. Five-year OS and PFS rates were higher in a low CONUT score group than in a high CONUT score group (OS: 81.1% vs. 53.8%, respectively, P < 0.001; PFS: 76.4% vs. 48.2%, respectively; P < 0.001). A high CONUT score was associated with decreased OS (hazard ratio (HR) 2.93, 95% CI 1.54-5.56; P = 0.001) and PFS (HR 2.77, 95% CI 1.52-5.04; P < 0.001). High CONUT scores influenced OS in the PSM cohort. A high mCONUT score was not associated with decreased OS and PFS in Cox regression analysis.
CONCLUSIONS: The CONUT score is a promising indicator for predicting survival in patients with cervical cancer receiving radiotherapy.

BACKGROUND: Desmoglein-2 (DSG2) has been reported to play pivotal roles in various diseases. However, its roles in cervical cancer (CC) remain insufficiently elucidated. Here, we aimed to comprehensively explore the functional mechanisms of DSG2 in CC using bioinformatics and experimental methods.
METHODS: Several online databases, including Gene Expression Profiling Interactive Analysis (GEPIA), ONCOMINE, LinkedOmics, MetaScape, Human protein atlas (HPA), OMICS and single-cell RNA sequencing (scRNA-seq) data were used to explore the expression, prognosis, gene mutations, and potential signaling pathway of DSG2 in CC. Quantitative real-time PCR (qRT-PCR) and western blotting were used to measure DSG2 expression in collected samples. Experimental assays were conducted to verify the effects of dysregulated DSG2 on cervical cell lines in vitro.
RESULTS: Bioinformatic analyses revealed that DSG2 was significantly up-regulated in CC compared to normal cervical tissues at both mRNA and protein levels. Elevated DSG2 levels were also associated with poor prognosis and clinical parameters (e.g., cancer stages, tumor grade, nodal metastasis status, etc.). DSG2 expression was predominantly observed in epithelial cells, increasing with disease progression on a single-cell resolution. Additionally, up-regulation of DSG2 significantly enhanced tumor purity by reducing the infiltration of immune cells (e.g., B cells, T cells, NK cells, etc.). Over-expression of DSG2 was further validated in collected CC samples at both mRNA and protein levels. Knockdown of DSG2 markedly reduced the proliferation and invasion of CC cell lines in vitro.
CONCLUSIONS: In summary, elevated levels of DSG2 were significantly associated with poor prognosis and diminished immune infiltration in CC. Thus, DSG2 may serve as a potential therapeutic and diagnostic biomarker for CC.

UNASSIGNED: Cervical cancer (CC) is the fourth most common malignancy among women globally and serves as the main cause of cancer-related deaths among women in developing countries. The early symptoms of CC are often not apparent, with diagnoses typically made at advanced stages, which lead to poor clinical prognoses. In recent years, numerous studies have shown that there is a close relationship between mast cells (MCs) and tumor development. However, research on the role MCs played in CC is still very limited at that time. Thus, the study conducted a single-cell multi-omics analysis on human CC cells, aiming to explore the mechanisms by which MCs interact with the tumor microenvironment in CC. The goal was to provide a scientific basis for the prevention, diagnosis, and treatment of CC, with the hope of improving patients\' prognoses and quality of life.
UNASSIGNED: The present study acquired single-cell RNA sequencing data from ten CC tumor samples in the ArrayExpress database. Slingshot and AUCcell were utilized to infer and assess the differentiation trajectory and cell plasticity of MCs subpopulations. Differential expression analysis of MCs subpopulations in CC was performed, employing Gene Ontology, gene set enrichment analysis, and gene set variation analysis. CellChat software package was applied to predict cell communication between MCs subpopulations and CC cells. Cellular functional experiments validated the functionality of TNFRSF12A in HeLa and Caski cell lines. Additionally, a risk scoring model was constructed to evaluate the differences in clinical features, prognosis, immune infiltration, immune checkpoint, and functional enrichment across various risk scores. Copy number variation levels were computed using inference of copy number variations.
UNASSIGNED: The obtained 93,524 high-quality cells were classified into ten cell types, including T_NK cells, endothelial cells, fibroblasts, smooth muscle cells, epithelial cells, B cells, plasma cells, MCs, neutrophils, and myeloid cells. Furthermore, a total of 1,392 MCs were subdivided into seven subpopulations: C0 CTSG+ MCs, C1 CALR+ MCs, C2 ALOX5+ MCs, C3 ANXA2+ MCs, C4 MGP+ MCs, C5 IL32+ MCs, and C6 ADGRL4+ MCs. Notably, the C2 subpopulation showed close associations with tumor-related MCs, with Slingshot results indicating that C2 subpopulation resided at the intermediate-to-late stage of differentiation, potentially representing a crucial transition point in the benign-to-malignant transformation of CC. CNVscore and bulk analysis results further confirmed the transforming state of the C2 subpopulation. CellChat analysis revealed TNFRSF12A as a key receptor involved in the actions of C2 ALOX5+ MCs. Moreover, in vitro experiments indicated that downregulating the TNFRSF12A gene may partially inhibit the development of CC. Additionally, a prognosis model and immune infiltration analysis based on the marker genes of the C2 subpopulation provided valuable guidance for patient prognosis and clinical intervention strategies.
UNASSIGNED: We first identified the transformative tumor-associated MCs subpopulation C2 ALOX5+ MCs within CC, which was at a critical stage of tumor differentiation and impacted the progression of CC. In vitro experiments confirmed the inhibitory effect of knocking down the TNFRSF12A gene on the development of CC. The prognostic model constructed based on the C2 ALOX5+MCs subset demonstrated excellent predictive value. These findings offer a fresh perspective for clinical decision-making in CC.

BACKGROUND: Cervical cancer (CC) and breast cancer (BC) threaten women\'s well-being, influenced by health-related stigma and a lack of reliable information, which can cause late diagnosis and early death. ChatGPT is likely to become a key source of health information, although quality concerns could also influence health-seeking behaviours.
METHODS: This cross-sectional online survey compared ChatGPT\'s responses to five physicians specializing in mammography and five specializing in gynaecology. Twenty frequently asked questions about CC and BC were asked on 26th and 29th of April, 2023. A panel of seven experts assessed the accuracy, consistency, and relevance of ChatGPT\'s responses using a 7-point Likert scale. Responses were analyzed for readability, reliability, and efficiency. ChatGPT\'s responses were synthesized, and findings are presented as a radar chart.
RESULTS: ChatGPT had an accuracy score of 7.0 (range: 6.6-7.0) for CC and BC questions, surpassing the highest-scoring physicians (P < 0.05). ChatGPT took an average of 13.6 s (range: 7.6-24.0) to answer each of the 20 questions presented. Readability was comparable to that of experts and physicians involved, but ChatGPT generated more extended responses compared to physicians. The consistency of repeated answers was 5.2 (range: 3.4-6.7). With different contexts combined, the overall ChatGPT relevance score was 6.5 (range: 4.8-7.0). Radar plot analysis indicated comparably good accuracy, efficiency, and to a certain extent, relevance. However, there were apparent inconsistencies, and the reliability and readability be considered inadequate.
CONCLUSIONS: ChatGPT shows promise as an initial source of information for CC and BC. ChatGPT is also highly functional and appears to be superior to physicians, and aligns with expert consensus, although there is room for improvement in readability, reliability, and consistency. Future efforts should focus on developing advanced ChatGPT models explicitly designed to improve medical practice and for those with concerns about symptoms.

Traditional chemotherapy drugs for cervical cancer often cause significant toxic side effects and drug resistance problems, highlighting the urgent need for more innovative and effective treatment strategies. Magnesium alloy is known to be degradable and biocompatible. The release of degradation products Mg2+, OH-, and H2 from magnesium alloy can alter the tumor microenvironment, providing potential anti-tumor properties. We explored the innovative use of magnesium alloy biomaterials in the treatment of cervical cancer, investigating how various concentrations of Mg2+ on the proliferation and cell death of cervical cancer cells. The results revealed that varying concentrations of Mg2+ significantly inhibited cervical cancer by arresting the cell cycle in the G0/G1 phase and inducing apoptosis in SiHa cells, effectively reducing tumor cell proliferation. In vivo experiments demonstrated that 20 mM Mg2+ group had the smallest tumor volume, exhibiting a potent inhibitory effect on the biological characteristics of cervical cancer. This enhances the therapeutic potential of this biomaterial as a local anti-tumor therapy and lays a theoretical foundation for the potential application of magnesium in the treatment of cervical cancer.

While HC2 and GP5+/6+ PCR-EIA were pivotal in test validation of new HPV assays, they represent the first generation of comparator tests based upon technologies that are not in widespread use anymore. In the current guideline, criteria for second-generation comparator tests are presented that include more detailed resolution of HPV genotypes. Second-generation comparator tests should preferentially target only the 12 genotypes classified as carcinogenic (IARC-group I), and show consistent non-inferior sensitivity for CIN2+ and CIN3+ and specificity for ≤CIN1 compared to one of the first-generations comparators, in at least three validation studies using benchmarks of 0.95 for relative sensitivity and 0.98 for relative specificity. Validation should take into account used storage media and other sample handling procedures. Meta-analyses were conducted to identify the assays that fulfill these stringent criteria. Four tests fulfilled the new criteria: (1) RealTime High-Risk HPV Test (Abbott), (2) Cobas-4800 HPV test (Roche Molecular System), (3) Onclarity HPV Assay (BD Diagnostics), and (4) Anyplex II HPV HR Detection (Seegene), each evaluated in three to six studies. Whereas the four assays target 14 carcinogenic genotypes, the first two identify separately HPV16 and 18, the third assay identifies five types separately and the fourth identifies all the types separately.