Evidence map›Paper›PMID 16928264›Full record

ArticleBMC cancer2006

Differential DNA methylation profiles in gynecological cancers and correlation with clinico-pathological data.

Hui-Juan Yang, Vincent W S Liu, Yue Wang, Percy C K Tsang, Hextan Y S Ngan

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 6 pooled it
4.3field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 6 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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  5. Aberrant promoter hypermethylation of p16 gene in endometrial carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
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  18. The BRCA1 Methylation and PD-L1 Expression in Sporadic Ovarian Cancer.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2018
    Article
  19. Epigenetics in ovarian cancer.Seminars in cancer biology · 2018
    Review
  20. Current Insights into Oral Cancer Epigenetics.International journal of molecular sciences · 2018
    Review

9 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Hui-Juan YangDepartment of Gynecologic Oncology, Fudan University Cancer Hospital, Shanghai, China. huijuanyang@hotmail.com
Vincent W S Liu
Yue Wang
Percy C K Tsang
Hextan Y S Ngan
University of Hong Kong · HKFudan University Shanghai Cancer Center · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic gene silencing is one of the major causes of carcinogenesis. Its widespread occurrence in cancer genome could inactivate many cellular pathways including DNA repair, cell cycle control, apoptosis, cell adherence, and detoxification. The abnormal promoter methylation might be a potential molecular marker for cancer management.

methodsFor rapid identification of potential targets for aberrant methylation in gynecological cancers, methylation status of the CpG islands of 34 genes was determined using pooled DNA approach and methylation-specific PCR. Pooled DNA mixture from each cancer type (50 cervical cancers, 50 endometrial cancers and 50 ovarian cancers) was made to form three test samples. The corresponding normal DNA from the patients of each cancer type was also pooled to form the other three control samples. Methylated alleles detected in tumors, but not in normal controls, were indicative of aberrant methylation in tumors. Having identified potential markers, frequencies of methylation were further analyzed in individual samples. Markers identified are used to correlate with clinico-pathological data of tumors using chi2 or Fisher's exact test.

resultsAPC and p16 were hypermethylated across the three cancers. MINT31 and PTEN were hypermethylated in cervical and ovarian cancers. Specific methylation was found in cervical cancer (including CDH1, DAPK, MGMT and MINT2), endometrial cancer (CASP8, CDH13, hMLH1 and p73), and ovarian cancer (BRCA1, p14, p15, RIZ1 and TMS1). The frequencies of occurrence of hypermethylation in 4 candidate genes in individual samples of each cancer type (DAPK, MGMT, p16 and PTEN in 127 cervical cancers; APC, CDH13, hMLH1 and p16 in 60 endometrial cancers; and BRCA1, p14, p16 and PTEN in 49 ovarian cancers) were examined for further confirmation. Incidence varied among different genes and in different cancer types ranging from the lowest 8.2% (PTEN in ovarian cancer) to the highest 56.7% (DAPK in cervical cancer). Aberrant methylation for some genes (BRCA1, DAPK, hMLH1, MGMT, p14, p16, and PTEN) was also associated with clinico-pathological data.

conclusionThus, differential methylation profiles occur in the three types of gynecologic cancer. Detection of methylation for critical loci is potentially useful as epigenetic markers in tumor classification. More studies using a much larger sample size are needed to define the potential role of DNA methylation as marker for cancer management.

Indexed as

DNA MethylationAdultAgedAged, 80 and overCpG IslandsEndometrial NeoplasmsFemaleGenital Neoplasms, FemaleHumansMiddle AgedOvarian NeoplasmsPrognosisStatistics as TopicTreatment OutcomeUterine Cervical Neoplasms

Identifiers

PMID16928264
PMCPMC1560388
OpenAlexW1495272710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.