Evidence map›Paper›PMID 41653072›Full record

ArticleCancer2026

Ultrasensitive next-generation sequencing-based detection of circulating human papillomavirus DNA for cervical cancer recurrence monitoring.

Sara Bønløkke, Magnus Stougaard, Boe Sandahl Sorensen, Erik Parner, Gitte-Bettina Nyvang, Jacob Christian Lindegaard, Jan Blaakær, Jesper Bertelsen, Katrine Fuglsang, Torben Steiniche

Registry-linked trialAbstract read
In one paragraph

Article in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03749720 (Can Digital Droplet PCR), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

NCT03749720 nacompletednot on this map

Can Digital Droplet PCR (ddPCR) on Blood Samples From Patients With HPV Related Cancers Become a Reality in Cancer Treatment and Monitoring?

TypeinterventionalSponsorUniversity of AarhusRan2018 to 2022Enrolled141ConditionsHPV-Related Carcinoma, HPV-Related MalignancyArmsBlood sample
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

10 authors.

Sara BønløkkeDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-1064-1288
Magnus StougaardDepartment of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark.
Boe Sandahl SorensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Erik ParnerDepartment of Public Health, Unit for Biostatistics, Aarhus University, Aarhus, Denmark.
Gitte-Bettina NyvangDepartment of Oncology, Odense University Hospital, Odense C, Denmark.
Jacob Christian LindegaardDepartment of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Jan BlaakærDepartment of Obstetrics and Gynecology, Odense University Hospital, Odense C, Denmark.
Jesper BertelsenDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Katrine FuglsangDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Torben SteinicheDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Funding

Civilingeniør Frode V. Nyegaard og Hustrus Fond 12062018Fabrikant Einar Willumsens Mindelegat 500028Fabrikant Einar Willumsens Mindelegat 6000073Folketingsmand J. Christensen og hustru K. Christensens Fond 21012021Grosserer A.V. Lykfeldt og Hustrus Legat 27022021Harboefonden 19181Holms Mindelegat 20006-1902IMK Almene Fond 30-206-365Inge og Jørgen Larsens Mindelegat 105 37-05KV Fonden 6030/67Søster og Verner Lipperts fond 13122017
6 · The paper itself

Abstract

backgroundCirculating cell-free human papillomavirus (ccfHPV) DNA is a promising biomarker for cervical cancer monitoring. This study used next-generation sequencing (NGS) to assess its prognostic and surveillance value.

methodsThe authors included 141 cervical cancer patients (International Federation of Gynecology and Obstetrics IA1-IVB) grouped by treatment: primary surgery (n = 50), primary surgery + adjuvant oncological (n = 22), and primary oncological treatment (n = 69). Plasma was collected pretreatment, at early follow-up (first post-treatment sample [FPS]), and during longer follow-up. ccfHPV DNA was detected using an NGS-based assay, enabling high sensitivity without prior knowledge of human papillomavirus (HPV) genotype. Associations between ccfHPV DNA status and recurrence were assessed using Cox proportional hazards models, and predictive accuracy was evaluated via sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

resultsPretreatment ccfHPV DNA positivity was detected in 8.0%, 36.4%, and 82.6% of patients across the groups, and ccfHPV DNA positivity was significantly associated with higher recurrence risk (adjusted hazard ratio [HR], 4.92; 95% confidence interval [CI], 1.29-18.7; p = .02). At FPS, ccfHPV DNA positivity strongly predicted recurrence (adjusted HR, 19.1; 95% CI, 7.27-50.2), with a PPV of 83% and NPV of 90% for recurrence within 50 months. Among patients who developed recurrence, ccfHPV DNA was detectable before clinical evidence of recurrence in 60.9% of cases with a mean lead time of 144 days.

conclusionccfHPV DNA detected by NGS is a strong prognostic biomarker for residual disease or recurrence. Its strong performance, already at early follow-up, supports its integration into individualized follow-up strategies. Prospective multicenter studies should validate these findings and guide clinical implementation.

trial registrationThe study was registered with ClinicalTrials.gov (identifiers: NCT03749720).

Indexed as

DNA, ViralHigh-Throughput Nucleotide SequencingHuman Papillomavirus VirusesNeoplasm Recurrence, LocalPapillomavirus InfectionsUterine Cervical NeoplasmsAdultAgedBiomarkers, TumorFemaleHumansMiddle AgedPrognosisSensitivity and SpecificityBiomarkers, TumorDNA, ViralbiomarkerccfDNAcervical cancercirculating HPV DNAHPVnext‐generation sequencingpost‐treatment monitoring

Identifiers

PMID41653072
PMCPMC12882560

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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.