Cervical Cancer Disease Research Articles

Cervical Cancer Screening and Prevention Uptake in Females with Autism Spectrum Disorder.

This study reports on uptake rates of cervical cancer prevention and screening in a clinically-referred cohort of adolescent and adult females with autism spectrum disorder (ASD). Females with ASD (11-65years) were invited to participate in an online survey to report on uptake of the human papillomavirus (HPV) vaccination and cervical cancer screening. Participants also provided demographic and clinical information. Chi-square statistical analysis was utilized to examine the relationship between categorical variables and receipt of cervical cancer prevention and screening. Forty-one out of 73 (56%) of adolescent (11-17years) and 51/108 (47%) of adult (≥ 18years) females with ASD reported having received at least one dose of the HPV vaccine. Only 30/73 (41%) and 37/108 (34%) of adolescents and adults respectively, were fully vaccinated (≥ 2 doses). Language impairment was the only clinical factor found to be associated with non-receipt of the HPV vaccine. Thirty-one out of 82 (38%) adult females (≥ 21years) with ASD had received at least one pap smear. Language impairment, intellectual disability, non-independent living, and lower level of education were all associated with not receiving a pap smear. Females with ASD are vulnerable to invasive cervical cancer disease due to low uptake rates of the HPV vaccine and routine pap smear screening.

Male support for cervical cancer screening in Debre Berhan City Ethiopia a community based cross sectional survey

Male partner involvement strongly influences a woman's decision to undergo cervical cancer screening. Women of low socioeconomic status are disproportionately affected by cervical cancer. Women living in low-and middle-income countries often encounter resistance from their partners regarding participation in cervical cancer screening. The lack of men's support for sexual and reproductive health programs, including cervical cancer screening, creates a barrier to women's utilization of health services. To assess Ethiopian men's awareness, knowledge, perceptions, and attitudes toward cervical cancer screening and their support to their female partners during screening. A community-based cross-sectional survey was conducted from June 20, 2023, to August 04, 2023. A multistage sampling procedure was used to recruit 614 male survey participants. Descriptive statistics were used to summarize sociodemographic data. Univariate and multivariate regression analyses were performed to measure the associations between the dependent and independent variables. A p-value of less than 0.05 was considered statistically significant. In this survey, 58.5% (359) of participants supported their partners for cervical cancer screening. More than half 55.9% (343) of the participants had an awareness of cervical cancer disease and 47.2% (290) participants knew the risk factors associated with the development of cervical cancer. In addition to that, 66.8% (410) of men have a positive attitude towards screening and encourage their wives to get screened if they notice symptoms of cervical cancer. Regarding the perceptions of cervical cancer, 37.0% (227) of male participants believed that their female partners were at risk of developing the disease, while 38.3% (235) of men believed that cervical cancer screening was only necessary if the woman showed symptoms. Completion of higher education (AOR = 3.75, 95% CI 1.60–8.79, p = 0.002), living with other people (AOR = 0.09, 95% CI 0.03–0.29, p < 0.0001), not being tested for HIV (AOR = 0.26, 95% CI 0.10–0.74, p = 0.011), and having information about cervical cancer (AOR = 3.33, 95% CI 1.36–8.15, p = 0.009) were statistically significantly associated with men’s support for their partners in cervical cancer screening. Men’s awareness, knowledge, and perceptions of cervical cancer screening were low. On the other hand, men have a positive attitude towards screening and encourage their wives to get screened if they notice symptoms of cervical cancer. This survey will serve as a basis for the development of further strategies and action plans to promote and support male participation in cervical cancer screening in Ethiopia. This can be achieved through the development of strategic plans, including public campaigns, raising awareness among social and community leaders, involving non-governmental organizations focusing on women's health, and community education.

High-throughput metabolomics identifies new biomarkers for cervical cancer

BackgroundCervical cancer (CC) is a danger to women’s health, especially in many developing countries. Metabolomics can make the connection between genotypes and phenotypes. It provides a wide spectrum profile of biological processes under pathological or physiological conditions.MethodIn this study, we conducted plasma metabolomics of healthy volunteers and CC patients and integratively analyzed them with public CC tissue transcriptomics from Gene Expression Omnibus (GEO).ResultHere, we screened out a panel of 5 metabolites to precisely distinguish CC patients from healthy volunteers. Furthermore, we utilized multi-omics approaches to explore patients with stage I-IIA1 and IIA2-IV4 CC and comprehensively analyzed the dysregulation of genes and metabolites in CC progression. We identified that plasma levels of trimethylamine N-oxide (TMAO) were associated with tumor size and regarded as a risk factor for CC. Moreover, we demonstrated that TMAO could promote HeLa cell proliferation in vitro. In this study, we delineated metabolic profiling in healthy volunteers and CC patients and revealed that TMAO was a potential biomarker to discriminate between I-IIA1 and IIA2-IV patients to indicate CC deterioration.ConclusionOur study identified a diagnostic model consisting of five metabolites in plasma that can effectively distinguish CC from healthy volunteers. Furthermore, we proposed that TMAO was associated with CC progression and might serve as a potential non-invasive biomarker to predict CC substage.ImpactThese findings provided evidence of the important role of metabolic molecules in the progression of cervical cancer disease, as well as their ability as potential biomarkers.

Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning-based techniques.

Cervical cancer, a prevalent and deadly disease among women, comes second only to breast cancer, with over 700 daily deaths. The Pap smear test is a widely utilized screening method for detecting cervical cancer in its early stages. However, this manual screening process is prone to a high rate of false-positive outcomes because of human errors. Researchers are using machine learning and deep learning in computer-aided diagnostic tools to address this issue. These tools automatically analyze and sort cervical cytology and colposcopy images, improving the precision of identifying various stages of cervical cancer. This article uses state-of-the-art deep learning methods, such as ResNet-50 for categorizing cervical cancer cells to assist medical professionals. The method includes three key steps: preprocessing, segmentation using k-means clustering, and classifying cancer cells. The model is assessed based on performance metrics viz; precision, accuracy, kappa score, precision, sensitivity, and specificity. In the end, the high success rate shows that the ResNet50 model is a valuable tool for timely detection of cervical cancer. In conclusion, the infected cervical region is pinpointed using spatial K-means clustering and preprocessing operations. This sequence of actions is followed by a progressive learning technique. The Progressive Learning technique then proceeded through several stages: Stage 1 with 64 × 64 images, Stage 2 with 224 × 224 images, Stage 3 with 512 × 512 images, and the final Stage 4 with 1024 × 1024 images. The outcomes show that the suggested model is effective for analyzing Pap smear tests, achieving 97.4% accuracy and approx. 98% kappa score.

Social factors and age play a significant role in cervical cancer and advanced-stage disease among Danish women

BackgroundFor cervical cancer (CC), the implementation of preventive strategies has the potential to make cervical cancer occurrence and death largely avoidable. To better understand the factors possibly responsible for cervical cancer, we aimed to examine possible differences in age and social parameters as well as screening status between women with low- or high-stage cervical cancer and matched controls.MethodsThrough the Danish Cancer Registry (DCR), women diagnosed with cervical cancer in Denmark between 1987 and 2016 were included. These were age- and residence-matched in a 1:5 ratio with controls from the general female population. The study population was sub grouped into a low-stage subpopulation with women with early-stage cervical cancer and matched controls and a high-stage subpopulation with women with late-stage cervical cancer and matched controls. Age and social parameters were compared within the subpopulations as well as between low- and high-stage cases. For part of the study population, screening attendance was examined to compare differences in adherence.ResultsOverall, we found that the risk of cervical cancer is significantly increased in socially disadvantaged women and not least non-attenders in screening. Interestingly, the high-stage subpopulation was significantly older than the low-stage subpopulation (p < 0.001), and when examining the impact of age further, we found that for cervical cancer cases, the risk of having low-stage disease decreases significantly with increasing age, whereas the risk of having high-stage disease increases significantly with increasing age. In the screening cohort, significantly less cases than controls were attenders in screening with the most pronounced differences seen in the old subpopulation (women aged 50–64 years) and in the high-stage subpopulation (p-values all < 0.001). Interestingly, when examining the risk of CC for attenders and non-attenders, we demonstrated that many social parameters continue to influence the risk of cervical cancer, even in women attending screening.ConclusionsOlder women, socially disadvantaged women, and non-attenders in screening are particularly vulnerable in terms of developing cervical cancer, especially high-stage disease. Therefore, improvements in the participating rate in screening as well as a revision of the current screening guidelines are needed.

HPV ctDNA Allows for the Detection of Residual Disease in Cervical Cancer

Abstract The presence of HPV ctDNA after chemoradiation is predictive of inferior progression-free survival.

Management and long-term clinical outcomes of patients with stage IVA cervical cancer with bladder involvement

ObjectiveTo describe the long-term outcomes of patients with stage IVA cervical cancer, a rare and deadly disease for which long-term toxicity data are scarce, to guide clinician counseling and survivorship support. MethodsIn a retrospective review of a prospectively maintained database, we identified 76 patients with stage IVA cervical cancer with biopsy- or MRI-proven bladder mucosal involvement who received definitive radiotherapy (external beam radiotherapy [EBRT] alone or EBRT plus brachytherapy) with or without chemotherapy at our institution between 2000 and 2020. We used Kaplan-Meier modeling to estimate recurrence-free survival (RFS) and overall survival (OS) and used proportional hazard modeling to identify clinical variables associated with recurrence or survival. We performed actuarial competing risk modeling for severe late toxicity (grades 3 to 5, occurring >6 months of follow-up) and vesicovaginal fistulae (VVF), censoring for pelvic recurrence and death, and made comparisons between potential predictors using Gray's test and binary logistic regression. ResultsThe median follow-up time was 76 months (interquartile range 58–91). The median OS duration was 35 months (range, 18-not reached), and the 2- and 5-year OS rates were 53.6% and 40.9%, respectively. OS and RFS did not differ significantly between patients who received EBRT alone (N = 18) or EBRT plus brachytherapy (N = 49). Current smoking was a strong predictor of severe late toxicity, whose incidence was 14% at 2 years and 17% at 10 years. The VVF incidence was 24% at 2 years and 32% at 10 years. ConclusionPatients with stage IVA cervical cancer, even those who receive EBRT alone, can have long-term survival. These patients should be followed closely for late radiation-related toxicity.

A new projection algorithm for variational inclusion problems and its application to cervical cancer disease prediction

This study proposes a new projection algorithm for solving variational inclusion problems that exhibit weak convergence under suitable conditions in Hilbert space. Furthermore, we apply our algorithm to solve data classification using the cervical cancer behavior risk dataset. The comparison is done in terms of accuracy, precision, recall, and F1-score with other literature. Our proposed algorithm has proved to be more performant than other benchmark techniques for solving regularized least squares problems with different norms.

Health-related quality of life associated with different cervical cancer therapies received by patients in two Nigerian tertiary hospitals.

There are important consequences from cervical cancer (CC) disease and its treatment among survivors, especially the impact on quality of life (QoL). To evaluate the health-related QoL associated with different CC therapies received by patients in two Nigerian tertiary hospitals. This study employed a prospective longitudinal design. It was conducted at Usmanu Danfodiyo University Teaching Hospital, Sokoto and Ahmadu Bello University Teaching Hospital Zaria, North-Western Nigeria. Data of all the 157 eligible CC patients were collected at baseline and after therapy. Data analysis was done with appropriate descriptive and inferential statistics using SPSS V. 20 for windows. P<0.05 was considered statistically significant. Chemotherapy (CT) was the major therapy option received by 78(49.7%) of the patients. Patients who received chemoradiation therapy (CRT) and adjuvant chemotherapy (CTS) had the highest increase in mean overall health-related QoL of 0.138 (t=8.456, p<0.001) and 0.138 (t=6.489, p<0.001) higher than their respective baseline scores. Patients who received CT had the least increase in mean overall health-related QoL of 0.095 (t=4.574, p<0.001) from baseline. Chemoradiation therapy and adjuvant chemotherapy were associated with highest increase in mean overall health-related QoL. Chemotherapy was associated with the least increase in mean overall health-related QoL.

Risk of uterine cervical cancer in inflammatory bowel disease: a systematic review and meta-analysis

Background and aims There are limited data on the association between uterine cervical cancer (UCC) and inflammatory bowel disease (IBD), which includes Crohn’s disease (CD) and ulcerative colitis (UC). Methods This systematic review and meta-analysis assessed the risk of UCC in patients with IBD. We searched MEDLINE, Embase, Cochrane Library, Scopus, Web of Science, ClinicalTrials.gov, gray literature and conference proceedings for studies published before 21 January 2022. Two reviewers independently screened studies, extracted data and assessed quality using the Newcastle–Ottawa Scale. Subgroup analyses were based on IBD type, biologic era, immunosuppression status, study location and design, and publication status. Fifteen studies were included. Results The pooled relative risk (RR) of UCC in IBD was 1.34 (95% confidence interval [CI], 1.07–1.69; I 2 = 53.4%). In subgroup analyses, the pooled RRs of UCC in CD and UC were 1.18 (95% CI, 0.97–1.42) and 1.50 (95% CI, 1.01–12.21), respectively. The pooled RRs of UCC in pre-biologic and biologic eras were 1.36 (95% CI, 0.83–2.23) and 1.99 (95% CI, 1.03–3.86), respectively. The pooled RR of UCC in immunomodulator users was 2.18 (95% CI, 0.81–5.87). The pooled RRs of UCC in Asia, Europe and North America were 5.65 (95% CI, 2.65–12.07), 1.13 (95% CI, 0.96–1.34) and 1.38 (95% CI, 1.10–1.73), respectively. Conclusions The risk of UCC was significantly increased in IBD, particularly in UC but not in CD, suggesting that women with IBD should undergo regular UCC screening and consider vaccination.

Multi-class Cervical Cancer Classification using Transfer Learning-based Optimized SE-ResNet152 model in Pap Smear Whole Slide Images

Among the main factors contributing to death globally is cervical cancer, regardless of whether it can be avoided and treated if the afflicted tissues are removed early. Cervical screening programs must be made accessible to everyone and effectively, which is a difficult task that necessitates, among other things, identifying the population's most vulnerable members. Therefore, we present an effective deep-learning method for classifying the multi-class cervical cancer disease using Pap smear images in this research. The transfer learning-based optimized SE-ResNet152 model is used for effective multi-class Pap smear image classification. The reliable significant image features are accurately extracted by the proposed network model. The network's hyper-parameters are optimized using the Deer Hunting Optimization (DHO) algorithm. Five SIPaKMeD dataset categories and six CRIC dataset categories constitute the 11 classes for cervical cancer diseases. A Pap smear image dataset with 8838 images and various class distributions is used to evaluate the proposed method. The introduction of the cost-sensitive loss function throughout the classifier's learning process rectifies the dataset's imbalance. When compared to prior existing approaches on multi-class Pap smear image classification, 99.68% accuracy, 98.82% precision, 97.86% recall, and 98.64% F1-Score are achieved by the proposed method on the test set. For automated preliminary diagnosis of cervical cancer diseases, the proposed method produces better identification results in hospitals and cervical cancer clinics due to the positive classification results.

“More than a song and dance”: Exploration of patient perspectives and educational quality of gynecologic cancer content on TikTok

ObjectiveTo investigate themes, quality, and reliability of gynecologic cancer-related content on the social media application TikTok. MethodsTikTok was systematically searched for the 100 most popular posts for ovarian cancer (OC), endometrial cancer (EC), cervical cancer (CC), vulvar cancer (VC), and gestational trophoblastic disease (GTD) in August 2022. Data was collected for demographics, tone, and themes. Educational videos were rated for quality and reliability utilizing the modified DISCERN scale. Relationships between content demographics, disease sites, and themes were assessed. ResultsAs of August 2022, the top five hashtags for each gynecologic cancer on TikTok had 466.7 million views. 430 of the top 500 posts were eligible for inclusion (OC: n = 86, CC: n = 93, EC: n = 98, GTD: n = 63, VC: n = 90). The majority of creators (n = 323, 75.1%) were White, 33 (7.7%) were Black, 20 (4.6%) were Asian/Pacific Islander (API), 10 (2.3%) were South Asian, 20 (4.7%) were Hispanic/Latino/a, 24 (5.5%) were unable to determine. Eleven central themes were identified, with significant differences when analyzed by disease site and race. The median DISCERN score for all posts was 1.0, indicating poor educational quality and reliability. When compared by race, South Asian/API posters received the highest scores (3, IQR 2.5) versus Black (2: IQR 3), Hispanic/Latino/a (2: IQR 0), and White posters (1, IQR 2) (p = 0.0013). Conclusion(s)Gynecologic cancer-related content on TikTok is of poor educational quality, and racial disparities in gynecologic cancer extend to social media. Opportunities exist to create more diverse content to support racial and cultural experiences in gynecologic cancer treatment.

Pathomorphological Manifestations and the Course of the Cervical Cancer Disease Determined by Variations in the TLR4 Gene.

Cervical cancer (CC) is often associated with human papillomavirus (HPV). Chronic inflammation has been described as one of the triggers of cancer. The immune system fights diseases, including cancer. The genetic polymorphism of pathogen recognition receptors potentially influences the infectious process, development, and disease progression. Many candidate genes SNPs have been contradictory demonstrated to be associated with cervical cancer by association studies, GWAS. TLR4 gene activation can promote antitumor immunity. It can also result in immunosuppression and tumor growth. Our study aimed to investigate eight selected polymorphisms of the TLR4 gene (rs10759932, rs1927906, rs11536898, rs11536865, rs10983755, rs4986790, rs4986791, rs11536897) and to determine the impact of polymorphisms in genotypes and alleles on the pathomorphological characteristics and progression in a group of 172 cervical cancer subjects with stage I-IV. Genotyping was performed by RT-PCR assay. We detected that the CA genotype and A allele of rs11536898 were significantly more frequent in patients with metastases (p = 0.026; p = 0.008). The multivariate logistic regression analysis confirmed this link to be significant. The effect of rs10759932 and rs11536898 on progression-free survival (PFS) and overall survival (OS) has been identified as important. In univariate and multivariate Cox analyses, AA genotype of rs11536898 was a negative prognostic factor for PFS (p = 0.024; p = 0.057, respectively) and OS (p = 0.008; p = 0.042, respectively). Rs11536898 C allele predisposed for longer PFS (univariate and multivariate: p = 0.025; p = 0.048, respectively) and for better OS (univariate and multivariate: p = 0.010; p = 0.043). The worse prognostic factor of rs10759932 in a univariate and multivariate Cox analysis for survival was CC genotype: shorter PFS (p = 0.032) and increased risk of death (p = 0.048; p = 0.015, respectively). The T allele of rs10759932 increased longer PFS (univariate and multivariate: p = 0.048; p = 0.019, respectively) and longer OS (univariate and multivariate: p = 0.037; p = 0.009, respectively). Our study suggests that SNPs rs10759932 and rs11536898 may have the potential to be markers contributing to the assessment of the cervical cancer prognosis. Further studies, preferably with larger groups of different ethnic backgrounds, are needed to confirm the results of the current study.

Communication strategies to improve human papillomavirus (HPV) immunisation uptake among adolescents in sub-Saharan Africa: a systematic review and meta-analysis

ObjectivesDeveloping countries face the greatest cervical cancer disease burden and mortality with suboptimal immunisation uptake. This review explores the communication strategies adopted, successes, challenges and lessons learnt in sub-Saharan countries...

Dynamical Analysis Of Cervical Cancer Disease Model With Treatment

This study proposes a model of cervical cancer due to infection with the Human Papilloma Virus (HPV). Various new assumptions are considered to get the model as ideal as possible. Among them, the transmission process depends on interactions with individuals infected with HPV, and the chance of cure is quite high with treatment. In this case, treatment can be in the form of radiotherapy, chemoradiation, chemotherapy, and palliative care. Five subpopulations were constructed, namely the subpopulation of susceptible individuals (S), the subpopulation of vaccinated individuals (V), the subpopulation of individuals infected with HPV (H), the subpopulation of individuals with cervical cancer (K), and the subpopulation of cured individuals (R). The model is formed into a five-dimensional nonlinear differential equation system. Dynamic analysis is carried out by determining the model’s equilibrium point and the conditions for the existence and local stability of the equilibrium point. The results of the analysis show that the system has two equilibrium points, namely the disease-free equilibrium point and the endemic equilibrium point. The disease-free equilibrium point exists unconditionally and is shown to be stable under certain conditions. The endemic equilibrium point exists fR_0&gt;1 and is unstable because it has positive eigenvalues. Thus, based on the model that has been formed, the spread of cervical cancer can be controlled with treatment and the number of individuals being vaccinated is increasing.

Attitudes and knowledge about HPV vaccination among Ghanaian women with cervical cancer

AbstractObjectiveTo explore knowledge about the human papillomavirus (HPV), HPV vaccination, barriers to vaccination and acceptance of the HPV vaccine in the highest‐risk and most‐impacted population in Ghana.MethodsA survey was administered to 100 women with histologically confirmed cervical cancer at a teaching hospital in Ghana.ResultsParticipants had a mean age of 59 (±14.3) years, 65.0% had a parity of five or higher and 89.0% had a monthly income less than 500 Ghana cedis ($63 USD). Seventy‐nine percent of participants had a diagnosis of stage III or greater cervical cancer. Only 8.0% had heard of HPV and 4.0% knew that HPV caused cervical cancer. Fifty‐five percent had not heard of vaccines, in general; of the remainder, the majority endorsed that vaccines, in general, were effective (89.0%) and safe (95.0%). No participants had received the HPV vaccine. After a brief education session, 94% believed the HPV vaccine was effective and 65.0% were categorised as having ‘high vaccine acceptance’ after responding ‘definitely yes’ to recommending the HPV vaccine to female relatives, male relatives and the community. There were no significant differences in demographic variables or cervical cancer disease characteristics between the ‘high vaccine acceptance’ and ‘some vaccine hesitancy’ groups.ConclusionAlthough women with cervical cancer in Ghana have low awareness of HPV and HPV vaccination, they demonstrate high vaccine acceptability and low hesitancy.

Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing

Cervical cancer is a common disease in women, affecting their lives negatively and often resulting in death. Pap-smear tests are preferred by doctors as the primary tool in the early diagnosis and treatment of the disease. Physicians can be facilitated in the detection of five different categories of cervical cancer and similar cellular disease cases with the Pap-smear image retrieval technology. In this study, an algorithm for retrieval of cervical cancer images using hash coding with a Convolutional Neural Network (CNN) has been implemented. A sensitive deep hashing method combining interpretable mask generation and rotation invariance is proposed for cervical cancer detection. The distinctive features of cervical cancer cells with complex morphological features are focused on with the proposed hybrid dilated convolution spatial attention module and insignificant features are eliminated. Moreover, the loss function of Cauchy rotation invariance in terms of cervical cancer cell target is presented. In this way, the differences in the input samples are revealed, allowing the CNN to learn from different angles and achieve certain rotation invariance. The versatility and performance of the proposed method, as well as the efficiency of the loss function, have been tested on the SIPaKMeD and Mendeley LBC datasets consisting of cervical cancer images. In the experimental results obtained, it is shown that the proposed spatial attention module and rotational invariance deep hashing network generate high performance in cervical cancer image retrieval problems.

Expert consensus on vaccination in patients with inflammatory bowel disease in Japan

Immunosuppressive therapies can affect the immune response to or safety of vaccination in patients with inflammatory bowel disease (IBD). The appropriateness of vaccination should be assessed prior to the initiation of IBD treatment because patients with IBD frequently undergo continuous treatment with immunosuppressive drugs. This consensus was developed to support the decision-making process regarding appropriate vaccination for pediatric and adult patients with IBD and physicians by providing critical information according to the published literature and expert consensus about vaccine-preventable diseases (VPDs) [excluding cervical cancer and coronavirus disease 2019 (COVID-19)] in Japan. This consensus includes 19 important clinical questions (CQs) on the following 4 topics: VPDs (6 CQs), live attenuated vaccines (2 CQs), inactivated vaccines (6 CQs), and vaccination for pregnancy, childbirth, and breastfeeding (5 CQs). These topics and CQs were selected under unified consensus by the members of a committee on intractable diseases with support by a Health and Labour Sciences Research Grant. Physicians should provide necessary information on VPDs to their patients with IBD and carefully manage these patients’ IBD if various risk factors for the development or worsening of VPDs are present. This consensus will facilitate informed and shared decision-making in daily IBD clinical practice.

Association between the ELAVL1 gene single nucleotide polymorphisms and the Genetic Susceptibility to cervical cancer by high resolution melting in a Tunisian population.

Human papillomavirus is the major cause of cervical cancer, but only few cases develop into cancer. Nevertheless, HuR (ELAVL1) gene has been implicated in the oncogenesis of certain cancers. The correlation between ELAVL1 gene and the risk of cervical cancer remains unclear. Therefore, this study investigated the effect of ELAVL1 gene polymorphisms (SNPs) in cervical cancer development in Tunisian women. ELAVL1 gene SNPs: ELAVL1 rs12983784 T > C, ELAVL1 rs14394 T > C, ELAVL1 rs74369359 G > T, ELAVL1 rs35986520 G > A, ELAVL1 rs10402477 C > T, ELAVL1 rs12985234 A > G and ELAVL1 rs2042920 T > G, were genotyped by High resolution melting (HRM). SNPStats software was used to perform linkage disequilibrium (LD) and haplotype analysis. Comparing the cervical cancer patients with healthy control participants, the SNPs rs12983784 (P = 0.032), rs74369359 (p = < 10- 3) and rs10402477 (P = 0.001) were associated with an increased cervical cancer risk. Contrary to the SNPs rs14394, rs7469359, rs35986520, rs12985234 and rs2042920 (p˃0.05). The haplotype analysis of the seven SNPs of ELAVL1 gene showed that there is no association between the different haplotypes and a possible risk of cervical cancer disease. Moreover, there was a significant Linkage disequilibrium between rs35986520 and rs2042920 (D'=0.9972) and between rs2042920 and rs10402477 (D'=0.9977). Our results indicated that genetic variants in the ELAVL1 gene might be associated with susceptibility to cervical cancer in the Tunisian population.

Automated invasive cervical cancer disease detection at early stage through deep learning

Automated invasive cervical cancer disease detection at early stage through deep learning