Evidence map›Paper›PMID 40540077›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2025

Low-coverage whole-genome sequencing for differentiating cervical cancer from cervical intraepithelial neoplasia and benign diseases.

Tingting Zhang, Fang Gu, Jia Yi He, Weihua Li, Ruxue Han, Xinyu Liu, Chan Dai, Zhendong Qin, Di Zhang, Jun Lu and 1 more

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Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tingting ZhangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Fang GuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Jia Yi HeDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Weihua LiDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ruxue HanDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Xinyu LiuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Chan DaiSuzhou Hongyuan Biotech Inc, Biobay, Suzhou, China.
Zhendong QinDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Di ZhangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Jun LuDepartment of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Hua LiDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. hual_gyn@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to analyze chromosomal arm-level copy number variations (CNVs) in benign diseases, cervical intraepithelial neoplasia (CIN), and cervical cancer (CC) using low-coverage whole genome sequencing (LC-WGS) and evaluate the efficacy of the ultrasensitive chromosomal aneuploidy detector (UCAD) model in distinguishing CC from CIN and benign diseases.

methodsCervical exfoliated cell specimens from 50 patients were collected for high-risk human papillomavirus(hr-HPV) testing, ThinPrep Cytologic Test (TCT), and CNV detection via LC-WGS. UCAD was employed to analyze chromosomal changes, with validation using WGS data from the National Center for Biotechnology Information(NCBI) database.

resultsAmong 50 patients, 8 had benign disease, 3 CIN1, 15 CIN2, 6 CIN2-3, 13 CIN3, and 5 CC. Chromosomal instability was detected in 9 patients (18%): all 5 CC cases, 3 CIN3 cases, and 1 CIN1 case. Gains in 3q were observed in all CC and CIN3 cases with CNVs. UCAD achieved 100% sensitivity and 91.11% specificity in differentiating CC from CIN and benign diseases, outperforming hr-HPV and TCT. The UCAD model was also applied to 5 CC and 1 high-grade squamous intraepithelial lesion (HSIL) cases obtained from the NCBI database, and the findings validated its ability to detect chromosomal aberrations in all cases.

conclusionsCNV analysis of cervical exfoliated cells shows promise for CC detection, with UCAD demonstrating high accuracy. Further validation in larger cohorts is needed to confirm its clinical utility.

Indexed as

Uterine Cervical DysplasiaUterine Cervical NeoplasmsWhole Genome SequencingAdultAneuploidyDiagnosis, DifferentialDNA Copy Number VariationsFemaleHumansMiddle AgedPapillomavirus InfectionsCervical cancer(CC)Cervical intraepithelial neoplasia (CIN)Copy number variations (CNVs)Low-coverage whole genome sequencing (LC-WGS)Ultrasensitive chromosomal aneuploidy detector (UCAD)

Identifiers

PMID40540077
PMCPMC12181114

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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.