Evidence map›Paper›PMID 25740063›Full record

ArticleJournal of endocrinological investigation2015

Detection of global hypermethylation in well-differentiated thyroid neoplasms by immunohistochemical (5-methylcytidine) analysis.

S Keelawat, P S Thorner, S Shuangshoti, A Bychkov, N Kitkumthorn, P Rattanatanyong, W Boonyayothin, U Poumsuk, P Ruangvejvorachai, A Mutirangura

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Alterations of regulatory factors and DNA methylation pattern in thyroid cancer.Cancer biomarkers : section A of Disease markers · 2020
    Article
  8. Article
  9. 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

10 authors at 3 institutions in 2 countries.

S KeelawatDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand. trcskl@gmail.com.
P S ThornerDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand.
S ShuangshotiDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand.
A BychkovDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand.
N KitkumthornDepartment of Oral and Maxillofacial Pathology, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
P RattanatanyongCenter of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
W BoonyayothinDepartment of Pathology, Chonburi Hospital, 69 Moo 2, Tambon Baan Seaun, Ampur Mueung, Chonburi, Thailand.
U PoumsukDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand.
P RuangvejvorachaiDepartment of Pathology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand.
A MutiranguraCenter of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · THChonburi Hospital · THUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile global hypomethylation of DNA has been found in several malignancies, studies on thyroid tumours have shown controversial results using different techniques. To help resolve this issue, we assessed methylation status using two different techniques in papillary thyroid carcinomas (PTC) and follicular adenomas (FA) and carcinomas (FTC), comparing adjacent non-neoplastic thyroid tissue.

methodsA series of 15 FA, 18 FTC and 17 PTC were assessed by: (1) measurement of methylation levels of long interspersed nuclear elements (LINE-1) using a combined bisulfite restriction analysis polymerase chain reaction protocol and (2) immunostaining with an anti-5-methylcytidine antibody that detects methylated DNA regardless of the DNA sequence. Immunostaining was scored by image analysis.

resultsMethylation levels of LINE-1 in FA, FTC and PTC were not significantly different from adjacent normal tissue. There was no significant difference in methylation levels of LINE-1 between FA, FTC and PTC (p = 0.44). By immunohistochemical staining for methylation, the 5-methylcytidine score was significantly higher in tumours than in normal tissue counterparts, for FA (p < 0.001), FTC (p = 0.04) and PTC (p = 0.02). PTC showed the highest 5-methylcytidine expression amongst all tumours which was significantly different from FTC (p = 0.015), but not FA (p = 0.09). There was no correlation in methylation level between LINE-1 and 5-methylcytidine scores for each group and overall.

conclusionsWell-differentiated thyroid neoplasms (FA, FTC and PTC) were not found by two independent methods to undergo global hypomethylation as part of an oncogenic sequence from normal tissue to carcinoma. Instead, hypermethylation was detected in all types of tumours, implying that this epigenetic event may contribute to oncogenic development of thyroid neoplasms (both benign and malignant).

Indexed as

DNA MethylationAdenocarcinoma, FollicularAdenomaCarcinomaCarcinoma, PapillaryCytidineHumansImmunohistochemistryLong Interspersed Nucleotide ElementsThyroid Cancer, PapillaryThyroid Neoplasms5-methylcytidineCytidine5-MethylcytidineFollicular adenomaFollicular carcinomaLINE-1MethylationPapillary carcinoma

Identifiers

PMID25740063
OpenAlexW1974974556

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.