Evidence map›Paper›PMID 42365384›Full record

ReviewBiomarker research2026

Biology-aligned cervical cancer screening: target-centric biomarkers and next-generation diagnostic platforms.

Jin Suh Yu, Gayoung Park, Hyewon Seo, Yun Hak Kim, Dokyoung Kim

Abstract readReview
In one paragraph

Review in Biomarker research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jin Suh Yu *Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, 50612, Republic of Korea.
Gayoung Park *New Drug Development Center (NDDC), Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI Hub), Daegu, 41061, Republic of Korea.
Hyewon SeoNew Drug Development Center (NDDC), Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI Hub), Daegu, 41061, Republic of Korea. h.seo@kmedihub.re.kr.
Yun Hak KimDepartment of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, 50612, Republic of Korea. yunhak10510@pusan.ac.kr.
Dokyoung KimDepartment of Precision Medicine, Graduate School, Kyung Hee University, Seoul, 02447, Republic of Korea. dkim@khu.ac.kr.ORCID https://orcid.org/0000-0002-7756-3560

Funding

National Research Foundation of Korea RS-2024-00406152National Research Foundation of Korea RS-2025-00518296National Research Foundation of Korea RS-2025-25396539
6 · The paper itself

Abstract

Cervical cancer remains a leading cause of cancer-related mortality among women worldwide, with mortality disproportionately concentrated in low-and middle-income countries (LMICs), where screening infrastructure is limited. Although persistent high-risk human papillomavirus (hrHPV) infection drives nearly all cervical cancers through a prolonged preinvasive window, making the disease both preventable and detectable, current screening modalities face biological and operational limitations that constrain their global impact. Cytology-based methods suffer from moderate sensitivity and subjective interpretations. HPV DNA testing is highly sensitive, it lacks specificity for transforming infections and shifts the diagnostic burden toward triage and colposcopy. Meanwhile, visual inspection methods are accessible, they offer limited reproducibility. In this review, we adopt a target-centric diagnostic framework that organizes cervical cancer screening not by detection platform but by the biological class of the marker being interrogated. We first examined the molecular pathogenesis of cervical carcinogenesis, including HPV genotype-specific biology, viral integration dynamics, oncogene-driven transformation, and epigenetic consolidation, to establish the biological rationale for each biomarker category. We then systematically evaluated conventional screening modalities and their limitations before reviewing emerging diagnostic technologies across four target domains: HPV-derived markers (DNA, mRNA, capsid proteins), host cell-cycle regulators (p16

Indexed as

BiomarkerCervical cancerDiagnosisHuman papillomavirusPoint-of-care

Identifiers

PMID42365384
PMCPMC13536723

What OpenQuestion holds

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Registered trials

None linked

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.