Evidence map›Paper›PMID 25826459›Full record

ArticlePloS one2015

Quantitative DNA methylation analysis of candidate genes in cervical cancer.

Erin M Siegel, Bridget M Riggs, Amber L Delmas, Abby Koch, Ardeshir Hakam, Kevin D Brown

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Deciphering DNA Methylation in HIV Infection.Frontiers in immunology · 2021
    Review
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  10. Article
  11. Article
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  13. Article
  14. Review
  15. Article
  16. Article
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  18. Article
  19. Identification ofFrontiers in genetics · 2018
    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

6 authors at 2 institutions in 1 country.

Erin M SiegelDepartment of Cancer Epidemiology, Division of Population Sciences, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL 33612, United States of America.
Bridget M RiggsDepartment of Cancer Epidemiology, Division of Population Sciences, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL 33612, United States of America.
Amber L DelmasDepartment of Biochemistry and Molecular Biology and UF-Shands Cancer Center, University of Florida College of Medicine, 1200 Newell Drive, Academic Research Building, R3-234, Gainesville, FL 32610, United States of America.
Abby KochDepartment of Cancer Epidemiology, Division of Population Sciences, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL 33612, United States of America.
Ardeshir HakamDepartment of Anatomic Pathology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL 33612, United States of America.
Kevin D BrownDepartment of Biochemistry and Molecular Biology and UF-Shands Cancer Center, University of Florida College of Medicine, 1200 Newell Drive, Academic Research Building, R3-234, Gainesville, FL 32610, United States of America.
Moffitt Cancer Center · USUniversity of Florida Health · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Integrative Molecular Epidemiology WorkshopR25CA174664 · NCI · AMERICAN ASSOCIATION FOR CANCER RESEARCH · PI Shelley S Tworoger · 2013 to 2026
$2.8M
Defining Novel Biomarkers for Cervical Cancer Etiology and Progression by QuantitR03CA143980 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SIEGEL, ERIN · 2009 to 2010
$175k
NCI NIH HHS 1R03 CA143980-01NCI NIH HHS P30 CA076292NCI NIH HHS P30-CA76292NCI NIH HHS R03 CA143980NCI NIH HHS R25 CA174664
6 · The paper itself

Abstract

Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated.

Indexed as

DNA MethylationAdultCarcinoma, Squamous CellCase-Control StudiesFemaleHumansMiddle AgedSurvival AnalysisUterine Cervical Neoplasms

Identifiers

PMID25826459
PMCPMC4380427
OpenAlexW2028432928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.