Evidence map›Paper›PMID 25991420›Full record

ArticleCancer medicine2015

Serial type-specific human papillomavirus (HPV) load measurement allows differentiation between regressing cervical lesions and serial virion productive transient infections.

Christophe E Depuydt, Jef Jonckheere, Mario Berth, Geert M Salembier, Annie J Vereecken, Johannes J Bogers

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06967740 (Epidemiological Factors and Optimization of Conservative Approaches to Precancerous Lesions of Female Reproductive Organs), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06967740 recruitingnot on this mapstarted 2024, after this paper: background citation

Epidemiological Factors and Optimization of Conservative Approaches to Precancerous Lesions of Female Reproductive Organs

TypeobservationalSponsorNikola JanovskaRan2024 to 2029Enrolled200ConditionsCervical Cancer, Cervical Intraepithelial Neoplasia (CIN), Risk Factors, Conservative Management
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 51 citations in OpenAlex.

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  13. Changes in DNA Level of Oncogenic Human Papillomaviruses Other Than Types 16 and 18 in Relation to Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  14. Role ofBMJ open · 2019
    Observational
  15. Modelling the evolution of viral oncogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
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  20. Human papillomavirus genotype and viral load agreement between paired first-void urine and clinician-collected cervical samples.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Christophe E DepuydtDepartment of Molecular Diagnostics, AML, Sonic Healthcare, Antwerp, Belgium.
Jef JonckheereDepartment of Molecular Diagnostics, AML, Sonic Healthcare, Antwerp, Belgium.
Mario BerthDepartment of Immunology, AML, Sonic Healthcare, Antwerp, Belgium.
Geert M SalembierDepartment of Molecular Diagnostics, AML, Sonic Healthcare, Antwerp, Belgium.
Annie J VereeckenDepartment of Molecular Diagnostics, AML, Sonic Healthcare, Antwerp, Belgium.
Johannes J BogersDepartment of Molecular Diagnostics, AML, Sonic Healthcare, Antwerp, Belgium.
University of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistent high-risk human papillomavirus (HPV) infection is strongly associated with the development of high-grade cervical intraepithelial neoplasia (CIN) or cancer. Not all persistent infections lead to cancer. Viral load measured at a single time-point is a poor predictor of the natural history of HPV infections. However the profile of viral load evolution over time could distinguish nonprogressive from progressive (carcinogenic) infections. A retrospective natural history study was set up using a Belgian laboratory database including more than 800,000 liquid cytology specimens. All samples were submitted to qPCR identifying E6/E7 genes of 18 HPV types. Viral load changes over time were assessed by the linear regression slope. Database search identified 261 untreated women with persistent type-specific HPV DNA detected (270 infections) in at least three of the last smears for a average period of 3.2 years. Using the coefficient of determination (R²) infections could be subdivided in a latency group (n = 143; R² < 0.85) and a regressing group (n = 127; R² ≥ 0.85). In (≥ 3) serial viral load measurements, serial transient infections with latency is characterized by a nonlinear limited difference in decrease or increase of type-specific viral load (R² < 0.85 and slopes between 2 measurements 0.0010 and -0.0010 HPV copies/cell per day) over a longer period of time (1553 days), whereas regression of a clonal cell population is characterized by a linear (R² ≥ 0.85) decrease (-0.0033 HPV copies/cell per day) over a shorter period of time (708 days; P < 0.001). Using serial HPV type-specific viral load measurements we could for the first time identify regressing CIN2 and CIN3 lesions. Evolution of the viral load is an objective measurable indicator of the natural history of HPV infections and could be used for future triage in HPV-based cervical screening programs.

Indexed as

PapillomaviridaeViral LoadVirionAdultDiagnosis, DifferentialDisease ProgressionDNA, ViralFemaleHumansPapillomavirus InfectionsRetrospective StudiesUterine Cervical DysplasiaVirus LatencyDNA, ViralCervical intraepithelial neoplasialatencyliquid-based cytologyprimary cervical cancer screeningreal-time quantitative PCR

Identifiers

PMID25991420
PMCPMC4559041
OpenAlexW1937133798

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.