Evidence map›Paper›PMID 25269554›Full record

ArticleJournal of translational medicine2014

Diagnosis of 25 genotypes of human papillomaviruses for their physical statuses in cervical precancerous/cancerous lesions: a comparison of E2/E6E7 ratio-based vs. multiple E1-L1/E6E7 ratio-based detection techniques.

Rong Zhang, Yi-feng He, Mo Chen, Chun-mei Chen, Qiu-jing Zhu, Huan Lu, Zhen-hong Wei, Fang Li, Xiao-xin Zhang, Cong-jian Xu and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 32% 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.

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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. p16Clinical and translational medicine · 2023
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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

11 authors at 6 institutions in 1 country.

Rong ZhangDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University, 6600 Nanfeng Road, Shanghai, 201499, China. rongzhang@163.com.
Yi-feng HeDepartment of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. he_yifeng@hotmail.com.
Mo ChenDepartment of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, 419 Fangxie Road, Shanghai, 200011, China. chenmo_nicy@163.com.
Chun-mei ChenState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433, China. cmchen@fudan.edu.cn.
Qiu-jing ZhuShanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. zhuqiujingsun@163.com.
Huan LuDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University, 6600 Nanfeng Road, Shanghai, 201499, China. luhuan1979@outlook.com.
Zhen-hong WeiDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University, 6600 Nanfeng Road, Shanghai, 201499, China. 954078787@qq.com.
Fang LiDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University, 6600 Nanfeng Road, Shanghai, 201499, China. lanxueyudie8989@sina.com.
Xiao-xin ZhangDepartment of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. mxcz5293@163.com.
Cong-jian XuDepartment of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, 419 Fangxie Road, Shanghai, 200011, China. xucongjian@gmail.com.
Long YuState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433, China. longyu@fudan.edu.cn.
Southern Medical University · CNObstetrics and Gynecology Hospital of Fudan University · CNRenji Hospital · CNFudan University · CNShanghai Jiao Tong University · CNState Key Laboratory of Genetic Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical lesions caused by integrated human papillomavirus (HPV) infection are highly dangerous because they can quickly develop into invasive cancers. However, clinicians are currently hampered by the lack of a quick, convenient and precise technique to detect integrated/mixed infections of various genotypes of HPVs in the cervix. This study aimed to develop a practical tool to determine the physical status of different HPVs and evaluate its clinical significance.

methodsThe target population comprised 1162 women with an HPV infection history of > six months and an abnormal cervical cytological finding. The multiple E1-L1/E6E7 ratio analysis, a novel technique, was developed based on determining the ratios of E1/E6E7, E2/E6E7, E4E5/E6E7, L2/E6E7 and L1/E6E7 within the viral genome. Any imbalanced ratios indicate integration. Its diagnostic and predictive performances were compared with those of E2/E6E7 ratio analysis. The detection accuracy of both techniques was evaluated using the gold-standard technique "detection of integrated papillomavirus sequences" (DIPS). To realize a multigenotypic detection goal, a primer and probe library was established.

resultsThe integration rate of a particular genotype of HPV was correlated with its tumorigenic potential and women with higher lesion grades often carried lower viral loads. The E1-L1/E6E7 ratio analysis achieved 92.7% sensitivity and 99.0% specificity in detecting HPV integration, while the E2/E6E7 ratio analysis showed a much lower sensitivity (75.6%) and a similar specificity (99.3%). Interference due to episomal copies was observed in both techniques, leading to false-negative results. However, some positive results of E1-L1/E6E7 ratio analysis were missed by DIPS due to its stochastic detection nature. The E1-L1/E6E7 ratio analysis is more efficient than E2/E6E7 ratio analysis and DIPS in predicting precancerous/cancerous lesions, in which both positive predictive values (36.7%-82.3%) and negative predictive values (75.9%-100%) were highest (based on the results of three rounds of biopsies).

conclusionsThe multiple E1-L1/E6E7 ratio analysis is more sensitive and predictive than E2/E6E7 ratio analysis as a triage test for detecting HPV integration. It can effectively narrow the range of candidates for colposcopic examination and cervical biopsy, thereby lowering the expense of cervical cancer prevention.

Indexed as

AdultAge FactorsBase SequenceFemaleGene DosageGenotypeGenotyping TechniquesHumansOncogene Proteins, ViralPapillomaviridaeReproducibility of ResultsUterine Cervical NeoplasmsVirus IntegrationOncogene Proteins, Viral

Identifiers

PMID25269554
PMCPMC4192431
OpenAlexW2143530513

What OpenQuestion holds

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LicenceCC BY
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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.