Evidence map›Paper›PMID 28612287›Full record

ArticleJournal of endocrinological investigation2018

Methylation markers differentiate thyroid cancer from benign nodules.

J K Stephen, K M Chen, J Merritt, D Chitale, G Divine, M J Worsham

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Frontiers in endocrinology · 2025
    Article
  5. The role of epigenetic methylations in thyroid Cancer.World journal of surgical oncology · 2024
    Review
  6. Association of DNA Promoter Methylation andCurrent oncology (Toronto, Ont.) · 2023
    Article
  7. Article
  8. The Role ofJournal of clinical medicine · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. DNA methylation alterations as therapeutic prospects in thyroid cancer.Journal of endocrinological investigation · 2019
    Review
  16. Article
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 1 institution in 1 country.

J K StephenDepartment of Otolaryngology/Head and Neck Research, Henry Ford Hospital, 1 Ford Place, 1D-06, Detroit, MI, 48202, USA. jstephe2@hfhs.org.
K M ChenDepartment of Otolaryngology/Head and Neck Research, Henry Ford Hospital, 1 Ford Place, 1D-06, Detroit, MI, 48202, USA.
J MerrittDepartment of Otolaryngology/Head and Neck Research, Henry Ford Hospital, 1 Ford Place, 1D-06, Detroit, MI, 48202, USA.
D ChitaleDepartment of Pathology, Henry Ford Hospital, Detroit, MI, 48202, USA.
G DivineDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, 48202, USA.
M J WorshamDepartment of Otolaryngology/Head and Neck Research, Henry Ford Hospital, 1 Ford Place, 1D-06, Detroit, MI, 48202, USA.
Henry Ford Hospital · US

Funding

DNA methylation markers for early detection of thyroid cancerR03CA159426 · NCI · HENRY FORD HEALTH SYSTEM · PI STEPHEN, JOSENA K · 2012 to 2013
$142k
National Institutes of Health CA159426NCI NIH HHS R03 CA159426
6 · The paper itself

Abstract

purposeThe incidence of thyroid cancer (TC) is increasing. Cytology by itself cannot distinguish TC from some benign nodules especially in certain subtypes of TC. Our immediate goal is to identify DNA methylation markers for early detection of TC and to molecularly differentiate TC subtypes from benign nodules.

methodsPromoter methylation status of 21 candidate genes was examined on formalin-fixed paraffin-embedded tissue (FFPE) utilizing quantitative methylation-specific polymerase chain reaction (QMSP) in a retrospective cohort of 329 patients (56% white, 29% African American, 61% female) comprising 71 normal thyroid, 83 benign nodules [follicular adenomas (FA)], 90 follicular TC (FTC) and 85 papillary TC (PTC). All genes were analyzed individually (Kruskal-Wallis and Wilcoxon rank sum tests) and in combination (logistic regression models) to identify genes whose methylation levels might best separate groups.

resultsCombination gene panels TPO and UCHL1 (ROC = 0.607, sensitivity 78%) discriminated FTC from FA, and RASSF1 and TPO (ROC = 0.881, sensitivity 78%) discriminated FTC from normal. Methylation of TSHR distinguished PTC from FTC (ROC = 0.701, sensitivity 84%) and PTC from FA (ROC = 0.685, sensitivity 70%). The six gene panel of TIMP3, RARB2, SERPINB5, RASSF1, TPO and TSHR, which differentiates PTC from normal thyroid, had the best combination sensitivity (91%) and specificity (81%) of the panels addressing discrimination of cancer tissue.

conclusionsAberrant gene methylation used in combination panels may be useful clinically in differentiating FTC and PTC from benign nodules. If confirmed in additional studies, these findings could help reduce the over diagnosis of thyroid cancer and surgeries related to over diagnosis.

Indexed as

Cell DifferentiationDNA MethylationAdenocarcinoma, FollicularBiomarkers, TumorCarcinoma, PapillaryFemaleHumansMalePromoter Regions, GeneticRetrospective StudiesThyroid NeoplasmsThyroid NoduleBiomarkers, TumorDNA methylation profilingFollicular adenomaThyroid cancerThyroid nodules

Identifiers

PMID28612287
OpenAlexW2625721475

What OpenQuestion holds

Textmetadata
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.