Evidence map›Paper›PMID 33608003›Full record

ArticleDiagnostic pathology2021

Accuracy of HPV E6/E7 mRNA examination using in situ hybridization in diagnosing cervical intraepithelial lesions.

Chang Hui, Huimin Bai, Jun Liu, Xuerong Lu, Shuzhen Wang, Zhenyu Zhang, Mulan Jin, Yue Wang, Yuzhen Liu

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Chang Hui *Department of Obstetrics and Gynecology, Affiliated Hospital of Weifang Medical University, No. 2428, Yuhe Road, Weifang, 261042, China.
Huimin Bai *Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, No.8, North Road of Workers Stadium, Chaoyang District, Beijing, 100020, China. bhmdoctor@sina.com.
Jun LiuDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, No.8, North Road of Workers Stadium, Chaoyang District, Beijing, 100020, China.
Xuerong LuDepartment of Obstetrics and Gynecology, Affiliated Hospital of Weifang Medical University, No. 2428, Yuhe Road, Weifang, 261042, China.
Shuzhen WangDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, No.8, North Road of Workers Stadium, Chaoyang District, Beijing, 100020, China.
Zhenyu ZhangDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, No.8, North Road of Workers Stadium, Chaoyang District, Beijing, 100020, China.
Mulan JinDepartment of Pathology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Yue WangDepartment of Pathology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Yuzhen LiuDepartment of Obstetrics and Gynecology, Affiliated Hospital of Weifang Medical University, No. 2428, Yuhe Road, Weifang, 261042, China. lyz0412@wfmc.edu.cn.
Capital Medical University · CNBeijing Chao-Yang Hospital · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe consistency of pathologists in the diagnosis of cervical intraepithelial neoplasia (CINs) is not ideal, especially between low- and high-grade squamous intraepithelial lesions (LSIL and HSIL). This study was aimed to explore efficient strategies for the grading of CINs.

methodsThe medical records of patients with high risk human papillomavirus (HR-HPV) infections who had underwent cervical biopsy or conization from April 2018 to April 2019 in Beijing Chao-Yang Hospital were collected and examined. The HR-HPV E6/E7 mRNA in the tissues of patients with CINs was detected using RNAscope chromogenic in situ hybridization (RISH). Immunohistochemistry (IHC) was performed to evaluate the expression of p16INK4a (P16) and Ki67.

resultsHR-HPV E6/E7 mRNA signals were detected in 3/27 (11.1 %) of CIN 1, and in 32/33 (97.0 %) of CIN 2/3. Most of the staining patterns (27/32, 84.4 %) had a full-thickness epithelial layer staining with weak-to-strong nuclear and cytoplasmic dot-like signals in CIN 2/3, and there were also few special staining patterns that were significantly different from the others. A number of indicators were compared between LSIL and HSIL. There were statistically significant differences in E6/E7 mRNA, p16, Ki67 and cytology between the two groups (P < 0.05). According to the logistic regression analysis, merely E6/E7 mRNA positivity was significantly associated with CIN2/3 (OR: 52.53, 95 % CI, P < 0.05). In the detection of CIN 2/3, the sensitivity and specificity of HPV E6/E7 mRNA alone was not significantly inferior to that of its different combinations with Ki67, p16 and cytology (all, P > 0.05).

conclusionsRISH is efficient in grading of CINs. The HPV E6/E7 mRNA expression might reflect the phase HPV infections, and its positive pattern might predict the development direction of CINs, providing the possibility to realize more accurate treatments for patients.

Indexed as

In Situ HybridizationAdolescentAdultAgedFemaleHumansImmunohistochemistryMaleMiddle AgedOncogene Proteins, ViralPapillomaviridaePapillomavirus InfectionsRNA, MessengerUterine Cervical DysplasiaUterine Cervical NeoplasmsYoung AdultOncogene Proteins, ViralRNA, MessengerCervical intraepithelial neoplasiaCINDiagnostic accuracyE6/E7 mRNAIn situ hybridization

Identifiers

PMID33608003
PMCPMC7896359
OpenAlexW3132940303

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.