Does HPV-18 co-infection increase the risk of cervical pathology in individuals with HPV-16?

OBJECTIVE

We aimed to investigate differences between HPV-16 mono- and HPV-16/18 co-infections in terms of cervical dysplasia and invasive cancer.

METHODS

This multicentre, retrospective study spanned from December 2017 to December 2020, involving women who visited gynaecological oncology clinics for colposcopy with either HPV-16 or HPV-16/18 positivity. A total of 736 patients, 670 in Group 1 (HPV-16 positivity) and 66 in Group 2 (HPV-16/18 positivity), were compared for the presence of CIN2+ lesions detected by colposcopic biopsy or endocervical curettage (ECC). Exclusions included hysterectomized patients, those with prior gynaecological cancers, and patients with HPV positivity other than types 16 and 18.

RESULTS

Among the included patients, 42.4% had a diagnosis of CIN2+ lesions. The cytology results demonstrated abnormal findings in 45.3% in Group 1 and 42.2% in Group 2, with no significant difference between the groups. ECC revealed CIN2+ lesion in 49 (8.7%) patients in group 1, while only 1 (1.7%) patient had CIN2+ lesion in group 2. There was no difference between 2 groups in terms of ECC result (p = 0.052). In group 1, 289 (43.1%) patients had CIN2+ lesion, while 23 (34.8%) patients had CIN2+ lesions in group 2. There was no difference between group 1 and 2 in terms of diagnosis of CIN2+ lesions (p = 0.19).

CONCLUSION

This multicentre retrospective study found no significant differences between HPV-16 mono- and HPV-16/18 co-infections regarding cervical pathologies. Larger studies are needed to validate and further explore these findings.

The prevalence of HPV in Chongqing, China from 2017 to 2022: a retrospective cohort study

BACKGROUND AND AIMS

Human papillomavirus (HPV) infection is widespread. The regional differences in infection rates and dominant HPV types are a significant aspect of the virus's epidemiological characteristics. In China, these differences are further influenced by the country's diverse ethnic composition, as well as varying economic and cultural conditions across regions. Additionally, factors such as population migration contribute to the exacerbation of these regional disparities in HPV infection rates.

METHODS

We conducted an analysis of the current prevalence of HPV among 108,863 patients in Chongqing from 2017 to 2022, along with an investigation into the interaction between HPV and vaginal microbiota. Additionally, we explored the relationship between HPV clearance time and disease outcomes.

RESULTS

Our findings revealed an overall HPV positive rate of 30.14% (32,813/108,863) in Chongqing, China. The top five HPV positive rates were as follows: HPV52 (7.78%), HPV16 (5.85%), HPV58 (4.41%), HPV53 (3.17%), and HPV39 (2.47%). The age-related trend of HPV infection exhibited a bimodal curve. Importantly, the positive rate of high-risk HPV (BV: 24.74%, AV: 24.38%, VVC: 18.19%, TV: 22.81%) was significantly higher than those in the control group (all P<0.05). Follow-up for 4 years, we observed an overall clearance rate of HPV at 92.20%, with a median clearance time of 13 (1-61) months.

CONCLUSION

These findings hold significant implications for the Chinese government in evaluating the prevalence of HPV in the Chongqing region and formulating effective HPV prevention strategies. Moreover, these findings could contribute to the enhancement of public health initiatives related to HPV in the region.

The correlation between multiple HPV infections and the occurrence, development, and prognosis of cervical cancer

Cervical carcinoma is the fourth female malignant tumor in the world, and the persistent infection of high-risk human papillomavirus (HPV) is recognized as the most common cause. This article studies the correlation between multiple HPV infections and the occurrence, development, and prognosis of cervical cancer in order to provide more references for clinical diagnosis and treatment. We conducted a retrospective analysis of the clinical data of 400 cervical carcinoma patients admitted to our hospital from 2015 to 2023. The collected patient data include age, HPV infection status, tumor size and morphology, local infiltration depth, diagnostic staging, surgical approach, vascular cancer thrombus status, lymph node status, and postoperative HPV follow-up status. We use SPSS statistical software for data analysis. Our research shows that the high-risk age group for cervical carcinoma is concentrated between 41 and 60 years old, which is basically consistent with the age range of the high incidence of HPV infection. In the statistics for HPV infection types, ~67.7% of patients are single HPV-infected, 25.29% are double infected, and 7.00% are infected with three or more types of HPV. Among the multiple HPV infections, most of the patients are younger than 40 years old and older than 70 years old, with double infection accounting for the majority. The top five HPV subtypes with high detection rates belong to high-risk subtypes, which are the HPV16, 18, 58, 33, and 52 subtypes, respectively. There was no significant relationship between multiple HPV infections and cervical cancer stage, lesion size, pathological tissue type, tissue differentiation degree/vascular cancer thrombus, and lymph node metastasis, and there was no significant difference in the results between the groups. In summary, multiple types of HPV infection in the cervix are common. We found that multiple infections, mainly HPV16, are closely related to cervical cancer. For the HPV16, 18, 58, 33, and 52 subtypes of infection, especially for patients younger than 40 years old and older than 70 years old, priority should be given to prevention and treatment. The relationship between multiple HPV infections and the progression and prognosis of cervical carcinoma requires further research, which could better guide cancer prevention and treatment.

HIVID2: an accurate tool to detect virus integrations in the host genome

MOTIVATION

Virus integration in the host genome is frequently reported to be closely associated with many human diseases, and the detection of virus integration is a critically challenging task. However, most existing tools show limited specificity and sensitivity. Therefore, the objective of this study is to develop a method for accurate detection of virus integration into host genomes.

RESULTS

Herein, we report a novel method termed HIVID2 that is a significant upgrade of HIVID. HIVID2 performs a paired-end combination (PE-combination) for potentially integrated reads. The resulting sequences are then remapped onto the reference genomes, and both split and discordant chimeric reads are used to identify accurate integration breakpoints with high confidence. HIVID2 represents a great improvement in specificity and sensitivity, and predicts breakpoints closer to the real integrations, compared with existing methods. The advantage of our method was demonstrated using both simulated and real data sets. HIVID2 uncovered novel integration breakpoints in well-known cervical cancer-related genes, including FHIT and LRP1B, which was verified using protein expression data. In addition, HIVID2 allows the user to decide whether to automatically perform advanced analysis using the identified virus integrations. By analyzing the simulated data and real data tests, we demonstrated that HIVID2 is not only more accurate than HIVID but also better than other existing programs with respect to both sensitivity and specificity. We believe that HIVID2 will help in enhancing future research associated with virus integration.

AVAILABILITY

HIVID2 can be accessed at https://github.com/zengxi-hada/HIVID2/.

CONTACT

Xi Zeng (zengxi@mail.hzau.edu.cn), Linghao Zhao (michael_yifan@126.com).

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.