UNASSIGNED: Human papillomavirus (HPV) testing as a method of cervical cancer screening can be performed by healthcare providers or by patients through self-sampling directly in the community, removing several barriers experienced by under screened populations. The objective of this scoping review was to determine which HPV self-sampling implementation and engagement strategies have been used to engage under screened populations (i.e., Indigenous, newcomer, and rural and remote communities) in cervical cancer screening.
UNASSIGNED: A scoping review was conducted searching MEDLINE, CINAHL, EMBASE, Cochrane Library, and SocINDEX from inception to August 2023. The inclusion criteria were: (1) Indigenous, newcomer, and rural and remote communities; (2) countries identified as members of the Organization for Economic Co-operation and Development; and (3) intervention included HPV self-sampling. The review was registered prior to conducting the search (https://osf.io/zfvp9).
UNASSIGNED: A total of 26 studies out of 2,741 studies met the inclusion criteria. In-person engagement with trusted community leaders was the most widely used and accepted recruitment and engagement strategy across all three populations. Six out of seven studies with Indigenous communities distributed HPV self-sampling kits to eligible participants in person in a clinical setting for collection on site or at home. Similarly, nine of the identified studies that engaged newcomers recruited participants in person through the community, where eligible participants were either given a kit (n = 7) or received one in the mail (n = 2). Lastly, of the 10 identified studies engaging rural and remote participants in HPV self-sampling, six recruited eligible participants in person at various community locations and four used electronic medical records or registries to identify and mail kits to participants.
UNASSIGNED: HPV self-sampling through in person kit distribution and mail out of HPV self-sampling kits is an effective way to increase participation rates amongst under screened populations.

Despite widespread cervical cancer (CC) screening programs, low participation has led to high morbidity and mortality rates, especially in developing countries. Because early-stage CC often has no symptoms, a non-invasive and convenient diagnostic method is needed to improve disease detection. In this study, we developed a new approach for differentiating both CC and cervical intraepithelial neoplasia (CIN)2/3, a precancerous lesion, from healthy individuals by exploring CC fatty acid metabolic reprogramming. Analysis of public datasets suggested that various fatty acid metabolizing enzymes were expressed at higher levels in CC tissues than in normal tissues. Correspondingly, 11 free fatty acids (FFAs) showed significantly different serum levels in CC patient samples compared with healthy donor samples. Nine of these 11 FFAs also displayed significant alterations in CIN2/3 patients. We then generated diagnostic models using combinations of these FFAs, with the optimal model including stearic and dihomo-γ-linolenic acids. Receiver operating characteristic curve analyses suggested that this diagnostic model could detect CC and CIN2/3 more accurately than using serum squamous cell carcinoma antigen level. In addition, the diagnostic model using FFAs was able to detect patients regardless of clinical stage or histological type. Overall, the serum FFA diagnostic model developed in this study could be a powerful new tool for the non-invasive early detection of CC and CIN2/3.

Cervical cancer screening in Brazil is opportunistic, based on cytology and offered for women aged 25-64 years, with low coverage (30%) and 70% of cancer diagnoses done in advanced stages, without impact on mortality. The current study reports 5-year first-round results of a population-based DNA-HPV testing screening program in a Brazilian city, which intended to be a model for transition to a more efficient program. Program flowchart is simple and current, indicating repetition of a negative test after five years. The first-round (October 2017-September 2022) screened 20,551 women by DNA-HPV testing with 58.7% coverage and 99.4% compliance with the program\'s targeted age range. Coverage increases to 77.8% when excluding the \'pandemic period\'. The DNA-HPV testing was 87.2% negative with 6.2% colposcopy referrals and 84.8% colposcopies performed. A total of 258 high-grade precursor lesions and 29 cervical cancers (mean age = 41.4 years, 83% Stage I) were detected. As a reference, 41,387 cytology tests from the previous program (2012-2016) detected 36 cervical cancers (mean age = 52.0 years, p = 0.0005), with 67% in advanced stages (p < 0.0001). Organizing cervical cancer screening using DNA-HPV testing demonstrated good coverage, high age and colposcopy compliance, and detection of more precancerous lesions and cervical cancers 10 years in advance.

UNASSIGNED: To inform the design and implementation of targeted interventions to reduce the future burden of human papillomavirus (HPV)-related cancers in Texas, it is necessary to examine the county and health service region (HSR) levels of (1) the proportion of children and teenagers aged 9 to 17 years who initiated and were up to date for HPV vaccination series and (2) HPV-related cancer incidence rates (IRs).
UNASSIGNED: To evaluate temporal trends and geospatial patterns of HPV vaccination initiation and up-to-date status as well as HPV-related cancer rates at county and HSR levels in Texas.
UNASSIGNED: This population-based cross-sectional study used data from the Texas Immunization Registry, the National Cancer Institute\'s Surveillance, Epidemiology, and End Results Program database, and Texas Department of State Health Services annual population counts from 2006 to 2022. The analysis of HPV vaccination rates was conducted among children and teenagers aged 9 to 17 years; the analysis of HPV-related cancer rates was conducted among adults aged 20 years and older. Data were extracted between June and July 2023 and statistical analysis was performed from February to April 2024.
UNASSIGNED: HPV vaccination initiation and up-to-date status rates and HPV-related cancer IR at county and HSR levels.
UNASSIGNED: A total of 32 270 243 children and teenagers (65.8% female individuals and 34.2% male individuals) and 22 490 105 individuals aged 20 years and older (50.7% female individuals and 49.3% male individuals) were included. The mean 2021 to 2022 county-level HPV vaccination series initiation estimates ranged from 6.3% to 69.1% for female and from 7.0% to 77.6% for male children and teenagers aged 9 to 17 years. County-level vaccination up-to-date estimates were generally lower compared with those of initiation estimates and ranged from 1.6% to 30.4% for female and from 2.1% to 34.8% for male children and teenagers. The pattern of HPV vaccination rates stratified by sex were similar across counties and HSRs. The age-adjusted annual HPV-related cancer IR by county for years 2016 to 2020 ranged from 0 to 154.2 per 100 000 for female individuals and from 0 to 60.1 per 100 000 for male individuals. The counties located in North Texas, HSRs 2/3 and 4/5N, had lower HPV vaccination rates and higher IRs of HPV-related cancers for both female and male individuals compared with other regions.
UNASSIGNED: In this study, the incidence of HPV-related cancers varied widely across the counties and HSRs of Texas. More counties in North Texas, HSRs 2/3 and 4/5N, had higher IRs of HPV-related cancers and a lower proportion of HPV vaccination rates than counties in other regions. Designing and implementing targeted interventions to increase uptake and completion of HPV vaccination series across counties with low HPV vaccination rates may help to reduce future the burden of HPV-related cancers.

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: The coronavirus 2019 (COVID-19) pandemic impacted cancer health care in several countries, with delays in the detection and treatment of breast and cervical cancer. The objective of this study is to analyze and compare the screening, diagnosis and treatment of breast and cervical cancer in the pre-COVID period and during the COVID-19 period.
METHODS: Cross-sectional study with secondary data collected from the Mortality Information System (SIM), Hospital Information System (SIH), Ambulatory Information System (SIA) and the Oncology Panel (PO) of breast cancer notifications with ICD C50.0 to C50.9 and cervix ICD C53.0 to C53.9, The analyzed period before the pandemic was from March 1 to October 1, 2019, and during the pandemic from March 1 to October 1, 2020. The period from 2013 to 2022 was also analyzed with the same information, including the number of diagnoses, treatments, and deaths from breast cancer and cervical cancer. The study population consisted of Brazilian women aged 25 to 70 years. In order to compare categorical variables between periods, the Chi-Square or Fisher\'s Exact tests, and Mann-Whitney U tests were applied, and the Poisson Regression model was applied to model the number of reported cases of COVID-19 and the amount of procedures.
RESULTS: There was a decrease in the number of mammograms and cytopathological exams during COVID-19, as well as a decrease in cases of breast and cervical cancer. The Poisson regression showed that the increase in the number of COVID-19 cases caused a decrease in the number of breast cytopathological examinations, cervical-vaginal cytopathological examinations/microflora and screening, diagnosis, initiation of treatment for breast cancer and deaths from this disease. Meanwhile, in some regions of Brazil, as the number of Covid-19 increased, there was a significantly increase in the number of mammograms performed and cervical cancer diagnoses.
CONCLUSIONS: The COVID-19 period in 2020 significantly impacted screening, diagnosis, treatment for breast and cervical cancer.

BACKGROUND: MicroRNAs (miRNAs) are single RNA molecules that act as global regulators of gene expression in mammalian cells and thus constitute attractive targets in treating cancer. Here we aimed to investigate the possible involvement of miRNA-141 (miR-141) in cervical cancer and to identify its potential targets in cervical cancer cell lines.
METHODS: The level of miR-141 in HeLa and C-33A cells has been assessed using the quantitative real-time PCR (qRT-PCR). A new miR-141 construct has been performed in a CMV promoter vector tagged with GFP. Using microarray analysis, we identified the potentially regulated genes by miR-141 in transfected HeLa cells. The protein profile of killer-like receptor C1 (KLRC1), KLRC3, carcinoembryonic antigen-related cell adhesion molecule 3 (CAM3), and CAM6 was investigated in HeLa cells transfected with either an inhibitor, antagonist miR-141, or miR-141 overexpression vector using immunoblotting and flow cytometry assay. Finally, ELISA assay has been used to monitor the produced cytokines from transfected HeLa cells.
RESULTS: The expression of miR-141 significantly increased in HeLa and C-33A cells compared to the normal cervical HCK1T cell line. Transfection of HeLa cells with an inhibitor, antagonist miR-141, showed a potent effect on cancer cell viability, unlike the transfection of miR-141 overexpression vector. The microarray data of HeLa cells overexpressed miR-141 provided a hundred of downregulated genes, including KLRC1, KLRC3, CAM3, and CAM6. KLRC1 and KLRC3 expression profiles markedly depleted in HeLa cells transfected with miR-141 overexpression accompanied by decreasing interleukin 8 (IL-8), indicating the role of miR-141 in avoiding programmed cells death in HeLa cells. Likewise, CAM3 and CAM6 expression reduced markedly in miR-141 transduced cells accompanied by an increasing level of transforming growth factor beta (TGF-β), indicating the impact of miR-141 in cancer cell migration. The IntaRNA program and miRWalk were used to check the direct interaction and potential binding sites between miR-141 and identified genes. Based on this, the seeding regions of each potential target was cloned upstream of the luciferase reporter gene in the pGL3 control vector. Interestingly, the luciferase activities of constructed vectors were significantly decreased in HeLa cells pre-transfected with miR-141 overexpression vector, while increasing enormously in cells pre-transfected with miR-141 specific inhibitor.
CONCLUSIONS: Together, these data uncover an efficient miR-141-based mechanism that supports cervical cancer progression and identifies miR-141 as a credible therapeutic target.

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.

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.