Evidence map›Paper›PMID 31779688›Full record

ArticleClinical epigenetics2019

Combined genetic mutations and DNA-methylated genes as biomarkers for endometrial cancer detection from cervical scrapings.

Phui-Ly Liew, Rui-Lan Huang, Tzu-I Wu, Chi-Chun Liao, Chien-Wen Chen, Po-Hsuan Su, Hui-Chen Wang, Yu-Chun Weng, Hung-Cheng Lai

Abstract read
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Flavone-based dual PARP-Tubulin inhibitor manifesting efficacy against endometrial cancer.Journal of enzyme inhibition and medicinal chemistry · 2023
    Article
  18. Regulation of HAND2 Expression by LncRNAJournal of the Endocrine Society · 2023
    Article
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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.

Phui-Ly LiewDepartment of Pathology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Rui-Lan HuangDepartment of Obstetrics and Gynecology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Tzu-I WuDepartment of Obstetrics and Gynecology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Chi-Chun LiaoDepartment of Obstetrics and Gynecology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Chien-Wen ChenDepartment of Obstetrics and Gynecology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Po-Hsuan SuTranslational Epigenetic Center, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Hui-Chen WangDepartment of Obstetrics and Gynecology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yu-Chun WengTranslational Epigenetic Center, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Hung-Cheng LaiDepartment of Obstetrics and Gynecology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan. hclai30656@gmail.com.ORCID 0000-0001-8048-3943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial cancer is a common gynecologic cancer. Noninvasive molecular biomarkers for triage of high-risk patients for invasive procedures are needed. Based on the success of cytological Pap smear screening, cervical scrapings are a good source of DNA for molecular testing. In addition to genetic lesions, DNA methylation is a promising biomarker. We assessed the usefulness of combining genetic and epigenetic biomarkers from cervical scrapings to detect endometrial carcinomas.

methodsWe performed a retrospective case-control study of 96 consecutive cervical scrapings from patients with abnormal uterine bleeding who underwent surgery for diagnostic evaluation. Thirty and 16 cases were diagnosed with type I and type II endometrial cancers, respectively. The remaining non-cancer cases included normal endometrium (n = 12), benign uterine lesions (n = 20), and endometrial hyperplasia (n = 18). Quantitative methylation-specific PCR and mass spectrometry were used for DNA methylation and genetic mutation analysis. Logistic regression was used to evaluate the clinical performance of these candidate biomarkers.

resultsWe tested the effectiveness of the methylation status of four genes (BHLHE22, CDO1, TBX5, and HAND2) in endometrial cancer detection. The area under the receiver operating characteristic curves ranged from 0.703 to 0.878, and panels of hypermethylated BHLHE22/CDO1/HAND2 (87.0% sensitivity and 86.0% specificity) and BHLHE22/CDO1/TBX5 (89.1% sensitivity and 80.0% specificity) showed significant differences and could distinguish benign from malignant endometrial lesions. The sensitivity and specificity in endometrial cancer detection for BHLHE22/CDO1 were 84.8% and 88.0%, respectively. Both type I and II endometrial carcinomas could be detected using a BHLHE22/CDO1-based methylation profile, suggesting that they may have common epigenomes. Moreover, PTEN and TP53 mutations were found in 63.3% of type I and 93.6% of type II endometrial cancers. Unexpectedly, PTEN and TP53 mutations were commonly found in cervical scrapings of the normal endometrium (25% and 33.3%, respectively) and in cases with benign uterine lesions (10% and 50%, respectively). Finally, combinations of any one mutation of PTEN and TP53 mutations had a sensitivity of 91.3%, but a specificity of only 42.0%.

conclusionsAdding PTEN/TP53 mutation testing to BHLHE22/CDO1-based methylation testing did not improve the detection of endometrial cancer.

Indexed as

DNA MethylationMutationAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesDilatation and CurettageEndometrial HyperplasiaEndometrial NeoplasmsEpigenesis, GeneticFemaleHumansLogistic ModelsMass SpectrometryMiddle AgedBiomarkers, TumorBiomarkersCervical scrapingsEndometrial cancer detectionMethylationMutation

Identifiers

PMID31779688
PMCPMC6883641

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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.