Cofactors and Their Association with Cancer of the Uterine Cervix in Women Infected with High-Risk Human Papillomavirus in South India

Comprehensive insights into human papillomavirus and cervical cancer: Pathophysiology, screening, and vaccination strategies

This article provides an in-depth review of the Human Papillomavirus (HPV), a predominant etiological factor in cervical cancer, exploring its pathophysiology, epidemiology, and mechanisms of oncogenesis. We examine the role of proteins, DNA methylation markers, and non-coding RNAs as predictive biomarkers in cervical cancer, highlighting their potential in refining diagnostic and prognostic practices. The evolution and efficacy of cervical cancer screening methods, including the Papanicolaou smear, HPV testing, cytology and HPV test, and colposcopy techniques, are critically analyzed. Furthermore, the article delves into the current landscape and future prospects of prophylactic HPV vaccines and therapeutic vaccines, underscoring their significance in the prevention and potential treatment of HPV-related diseases. This comprehensive review aims to synthesize recent advances and ongoing challenges in the field, providing a foundation for future research and clinical strategies in the prevention and management of cervical cancer.

Biological, demographic, and health factors associated with HPV infection in Ecuadorian women

Objectives

The study aims to identify the correlation between human papillomavirus (HPV) infection and sociodemographic and sexual reproductive health factors in Ecuadorian women from March to August 2019.

Methods

120 women were randomly selected from two gynecological clinics to complete a questionnaire and provide a biospecimen. PCR-Hybridization was used to genotype 37 HPV serotypes in samples obtained by endo-cervical brushing for liquid-based cytology. Sociodemographic and sexual health data were collected through a validated questionnaire during a medical consultation. Mathematical modeling of HPV infection was done using bivariate logistic regression.

Results

65.0% of the women sampled had an HPV infection; 74.3% of these women had co-infections with other HPV genotypes. Out of the women who were HPV positive, 75.6% were diagnosed with high-risk genotypes from HPV strains 18, 35, 52, and 66. Parity, immunosuppression, and use of oral contraception/intrauterine devices (IUDs) were identified as associated variables. The explanatory model had a sensitivity of 89.5% and a specificity of 73.8%.

Conclusion

The predominant strains of HPV among Ecuadorian women are diverse. The risk of HPV infection is a complex phenomenon where biological and psychosocial variables are integrated into a model. In populations with limited access to health services, low socioeconomic status, and negative sociocultural beliefs about sexually transmitted infections (STIs), surveys can be used as a pre-screening step for HPV infections. The diagnostic value of the model should be tested in multicenter studies that include women from all over the country.

Diagnosis of Early Cervical Cancer with a Multimodal Magnetic Resonance Image under the Artificial Intelligence Algorithm

This research was conducted to explore the value of multimodal magnetic resonance imaging (MRI) based on the alternating direction algorithm in the diagnosis of early cervical cancer. 64 patients diagnosed with early cervical cancer clinicopathologically were included, and according to the examination methods, they were divided into A group with conventional multimodal MRI examination and B group with the multimodal MRI examination under the alternating direction algorithm. The diagnostic results of two types of multimodal MRI for early cervical cancer staging were compared with the results of clinicopathological examination to judge the application value in the early diagnosis of cervical cancer. The results showed that in the 6 randomly selected samples of early cervical cancer patients, the peak signal-to-noise ratio (PSNR) and structural similarity image measurement (SSIM) of multimodal MRI images under the alternating direction algorithm were significantly higher than those of conventional multimodal MRI images and the image reconstruction was clearer under this algorithm. By comparing MRI multimodal staging, statistical analysis showed that the staging accuracy of B group was 75%, while that of A group was only 59.38%. For the results of postoperative medical examinations, the examination consistency of B group was better than that of A group, with a statistically significant difference (P < 0.05). The area under the receiver operating characteristic (ROC) curve (AUC) of B group was larger than that of A group; thus, sensitivity was improved and misdiagnosis was reduced significantly. Multimodal MRI under the alternating direction algorithm was superior to conventional multimodal MRI examination in the diagnosis of early cervical cancer, as the lesions were displayed more clearly, which was conducive to the detection rate of small lesions and the staging accuracy. Therefore, it could be used as an ideal MRI method for the assistant diagnosis of cervical cancer staging.

High parity is associated with increased risk of cervical cancer: Systematic review and meta-analysis of case-control studies

Background:

Cervical cancer is the fourth most common cancer among women. High parity has long been suspected with an increased risk of cervical cancer. Evidence from the existing epidemiological studies regarding the association between parity and cervical cancer is variable and inconsistent. Therefore, the objective of this systematic review and meta-analysis was to synthesize the best available evidence on the epidemiological association between parity and cervical cancer.

Methods:

Case–control studies reporting the association between parity and cervical cancer were systematically searched in databases like MEDLINE/PubMed, HINARI, Google scholar, Science direct, and Cochrane Libraries. All studies fulfilling the inclusion criteria and published between 2000 and 7 March 2020 were included in this meta-analysis. This study reported according to PRISMA guideline. Cochran’s Q-statistics and I² tests were performed to assess heterogeneity among included studies. Egger’s regression analysis was performed to assess publication bias. A random-effect meta-analysis model was used to compute pooled odds ratio of the association between parity and cervical cancer.

Results:

A total of 6685 participants (3227 patients and 3458 controls) were incorporated in the 12 studies included in this meta-analysis. The meta-analysis revealed that women with high parity had 2.65 times higher odds of developing cervical cancer compared to their counterparts (odds ratio = 2.65, 95% confidence interval = 2.08–3.38).

Conclusion:

High parity is positively associated with cervical cancer. Strong epidemiological studies are recommended to further explore the mechanisms and role of parity in the causation of cervical cancer.

Tobacco use and its association with HPV infection in normal uterine cervix: A study from a Sustainable Development Goals perspective

INTRODUCTION

To achieve the Sustainable Development Goals (SDGs) target 2030, the United Nations (UN) endorsed tobacco use reduction, which is essential in decreasing unnecessary deaths caused by tobacco-induced disease. This study investigates the association between tobacco use and Human Papillomavirus (HPV) infection in clinically normal uterine cervix populations from the SDGs perspective.

METHODS

This study is a 7-year cross-sectional study of a clinically normal uterine cervix population, based on negative Visual Inspection of Acetic Acid (VIA). Subjects were recruited consecutively from the medical records of several public and private health providers in Jakarta. The Statistical Product and Service Solutions (SPSS) for Windows version 20.0 were used to analyze the data.

RESULTS

A total of 1397 negative VIA subjects were collected, consisting of 4.9% (69/1397) tobacco users, and 95.1% (1328/1397) non-users. HPV-DNA positive were 4.3% (3/69) in the tobacco user group and 3.7% (49/1328) in the non-user group. Statistical analysis showed unadjusted OR was 1.19 (95% CI: 0.36–3.91, p=0.778) and adjusted OR was 1.18 (95% CI: 0.36–3.89, p=0.786). High-risk HPV (hrHPV) infections of tobacco and non-tobacco users’ groups were found in 2/3 and 27/49 (55.1%), respectively.

CONCLUSIONS

This study showed an insignificant statistical association between tobacco use and HPV infection in normal uterine cervix. However, the proportion of hrHPV infection was higher in tobacco users than non-users. From the SDGs perspective, cervical cancer is closely related to tobacco use and poverty. Further study is needed to support this result and evaluate other co-factor role-related cervical cancer history to achieve SDGs in 2030.

Immunotherapy in cervix cancer

The treatment approach to cervix cancer has remained unchanged for several decades and new therapeutic strategies are now required to improve outcomes, as the prognosis is still poor. In the last years, a better understanding of HPV tumor-host immune system interactions and the development of new therapeutics targeting immune checkpoints generated interest in the use of immunotherapy in cervix cancer. Preliminary phase I-II trials demonstrated the efficacy, the duration of responses and the manageable safety of this approach. Currently, many phase II and III studies are ongoing in both locally advanced and metastatic cervical cancer, assessing immunotherapy as a single agent or in combination with chemotherapy and radiotherapy. We reviewed the published data and the therapeutic implications of the most promising novel immunotherapeutic agents under investigation in cervix cancer.