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Yuzhen Liu
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Background
High-risk human papillomavirus (HR-HPV) load is thought to be influenced by many factors, and relationship between viral load and degree of cervical lesion is controversial. This study was to explore possible influencing factors of HR-HPV viral load in uterine cervix.
Methods
605 women who needed colposcopic evaluation for abnormal cervical screening in Affiliated Hospital of Weifang Medical University, China, between November 2017 and September 2018 were enrolled. Cervical specimens were collected from endo- and ectocervix separately using two different cervical brushes. Hybrid Capture II test was used to measure HR-HPV load. Age, histological severity, number of viral types, area and location of cervical lesions were recorded. The correlation between viral load and influencing factors was analysed using univariate and multivariate analysis.
Results
HR-HPV load was positively correlated with age, histological severity, multiple HPV types and area of cervical lesions (P < 0.05). Viral load with combination of endo- and ectocervical sampling was significantly higher than simple endocervical sampling (P < 0.001). Multivariate analysis showed that age, multiple HPV types and area of cervical lesions were independent factors for HR-HPV load with combination of endo- and ectocervical sampling (P < 0.05). However, only age and area of cervical lesions were independent factors for viral load with simple endocervical sampling (P < 0.05). No significant association was found between viral load and lesion severity in multivariate analysis (P > 0.05).
Conclusion
HR-HPV load is influenced by age, histological severity, multiple viral types, area of cervical lesion and sampling methods. Age and area of cervical lesions are independent factors for viral load.
Keywords
Human papillomavirus, Viral load, Cervical intraepithelial lesion, Influential factor
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at Virology Journal.
No community comments so far
Review #1 received
Received 15 Dec, 2020
Editorial decision: Accept
On 15 Dec, 2020
Reviewers invited
Invitations sent on 09 Dec, 2020
Reviewer #1 agreed
On 09 Dec, 2020
Editor assigned
On 18 Nov, 2020
Submission checks complete
On 18 Nov, 2020
Editor invited
On 18 Nov, 2020
No comments provided
Editorial decision: Minor revision
On 27 Oct, 2020
Review #2 received
Received 26 Oct, 2020
Review #1 received
Received 08 Oct, 2020
Reviewer #2 agreed
On 04 Oct, 2020
Reviewer #1 agreed
On 01 Oct, 2020
Editor assigned
On 28 Sep, 2020
Reviewers invited
Invitations sent on 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
Version 1
Posted 14 May, 2020
No comments provided
Editorial decision: Minor revision
On 25 Aug, 2020
Review #1 received
Received 18 Jul, 2020
Reviewer #3 agreed
On 06 Jul, 2020
Reviewer #2 agreed
On 05 Jul, 2020
Reviewer #1 agreed
On 04 Jul, 2020
Reviewers invited
Invitations sent on 01 Jun, 2020
Editor assigned
On 13 May, 2020
Editor invited
On 12 May, 2020
Submission checks complete
On 09 May, 2020
First submitted
On 06 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Virology
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Virology Journal.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Yuzhen Liu
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Virology Journal.
No community comments so far
Review #1 received
Received 15 Dec, 2020
Editorial decision: Accept
On 15 Dec, 2020
Reviewers invited
Invitations sent on 09 Dec, 2020
Reviewer #1 agreed
On 09 Dec, 2020
Editor assigned
On 18 Nov, 2020
Submission checks complete
On 18 Nov, 2020
Editor invited
On 18 Nov, 2020
No comments provided
Editorial decision: Minor revision
On 27 Oct, 2020
Review #2 received
Received 26 Oct, 2020
Review #1 received
Received 08 Oct, 2020
Reviewer #2 agreed
On 04 Oct, 2020
Reviewer #1 agreed
On 01 Oct, 2020
Editor assigned
On 28 Sep, 2020
Reviewers invited
Invitations sent on 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
Version 1
Posted 14 May, 2020
No comments provided
Editorial decision: Minor revision
On 25 Aug, 2020
Review #1 received
Received 18 Jul, 2020
Reviewer #3 agreed
On 06 Jul, 2020
Reviewer #2 agreed
On 05 Jul, 2020
Reviewer #1 agreed
On 04 Jul, 2020
Reviewers invited
Invitations sent on 01 Jun, 2020
Editor assigned
On 13 May, 2020
Editor invited
On 12 May, 2020
Submission checks complete
On 09 May, 2020
First submitted
On 06 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Virology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Virology Journal.
Background
High-risk human papillomavirus (HR-HPV) load is thought to be influenced by many factors, and relationship between viral load and degree of cervical lesion is controversial. This study was to explore possible influencing factors of HR-HPV viral load in uterine cervix.
Methods
605 women who needed colposcopic evaluation for abnormal cervical screening in Affiliated Hospital of Weifang Medical University, China, between November 2017 and September 2018 were enrolled. Cervical specimens were collected from endo- and ectocervix separately using two different cervical brushes. Hybrid Capture II test was used to measure HR-HPV load. Age, histological severity, number of viral types, area and location of cervical lesions were recorded. The correlation between viral load and influencing factors was analysed using univariate and multivariate analysis.
Results
HR-HPV load was positively correlated with age, histological severity, multiple HPV types and area of cervical lesions (P < 0.05). Viral load with combination of endo- and ectocervical sampling was significantly higher than simple endocervical sampling (P < 0.001). Multivariate analysis showed that age, multiple HPV types and area of cervical lesions were independent factors for HR-HPV load with combination of endo- and ectocervical sampling (P < 0.05). However, only age and area of cervical lesions were independent factors for viral load with simple endocervical sampling (P < 0.05). No significant association was found between viral load and lesion severity in multivariate analysis (P > 0.05).
Conclusion
HR-HPV load is influenced by age, histological severity, multiple viral types, area of cervical lesion and sampling methods. Age and area of cervical lesions are independent factors for viral load.
Figure 1
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