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Introduction: Infection with Human Papillomavirus (HPV) is a recognized risk factor for (CT) infection and vice versa. Coinfection of HPV and CT in women is a very common and usually asymptomatic finding that has been linked to increased risk of cervical cancer. It has been demonstrated that CT facilitates the entry of multiple high risk HPV genotypes, leading to damage of the mucosal barrier and interfering with immune responses and viral clearance, which ultimately favours viral persistence and malignant transformation. Although the facilitating effects elicited by CT infection on viral persistence have been reported, little is known about the consequences of HPV infection on CT development.
Methods: Herein, we took advantage of a genetically modified human cervical cell line co-expressing HPV-16 major oncogenic proteins E6 and E7, as an experimental model allowing to investigate the possible effects that HPV infection would have on CT development.
Results And Discussion: Our results show that CT infection of HPV-16 E6E7 expressing cells induced an upregulation of the expression of E6E7 oncoproteins and host cell inhibitory molecules PD-L1, HVEM and CD160. Additionally, smaller chlamydial inclusions and reduced infectious progeny generation was observed in E6E7 cells. Ultrastructural analysis showed that expression of E6 and E7 did not alter total bacterial counts within inclusions but resulted in increased numbers of reticulate bodies (RB) and decreased production of infectious elementary bodies (EB). Our results indicate that during CT and HPV coinfection, E6 and E7 oncoproteins impair RB to EB transition and infectious progeny generation. On the other hand, higher expression of immune inhibitory molecules and HPV-16 E6E7 are cooperatively enhanced in CT-infected cells, which would favour both oncogenesis and immunosuppression. Our findings pose important implications for clinical management of patients with HPV and CT coinfection, suggesting that screening for the mutual infection could represent an opportunity to intervene and prevent severe reproductive health outcomes, such as cervical cancer and infertility.
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http://dx.doi.org/10.3389/fcimb.2023.1214017 | DOI Listing |
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFJpn J Clin Oncol
September 2025
International Health Program, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou Dist., Taipei City 112, Taipei, Taiwan.
Objectives: Treatment delay can adversely affect cancer prognosis and public health. However, previous studies have not examined the association between cancer treatment delay and 5-year mortality risk for various cancer types in a single study population.
Methods: We used retrospective cohort data from 21 740 patients diagnosed with common cancers between 2000 and 2017, with mortality follow-up to 2022, from the Philippines' Department of Health-Rizal Cancer Registry to understand how treatment delay of <30, 30-90, or >90 days was associated with 5-year all-cause mortality risk, by cancer type and stage at diagnosis.
Int J Gen Med
September 2025
Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.