Evidence map›Paper›PMID 37555357›Full record

ArticleThe journal of pathology. Clinical research2023

DNA methylation profile discriminates sporadic giant cell granulomas of the jaws and cherubism from their giant cell-rich histological mimics.

Letícia Martins Guimarães, Daniel Baumhoer, Vanghelita Andrei, Dennis Friedel, Christian Koelsche, Ricardo Santiago Gomez, Andreas von Deimling, Carolina Cavalieri Gomes

Open access · goldAbstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 3 institutions in 3 countries.

Letícia Martins GuimarãesDepartment of Pathology, Biological Science Institute, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Daniel BaumhoerBone Tumor Reference Centre, Institute of Pathology, University Hospital Basel and University of Basel, Basel, Switzerland.
Vanghelita AndreiBone Tumor Reference Centre, Institute of Pathology, University Hospital Basel and University of Basel, Basel, Switzerland.
Dennis FriedelDepartment of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Christian KoelscheDepartment of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-8763-8864
Ricardo Santiago GomezDepartment of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0001-8770-8009
Andreas von DeimlingDepartment of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Carolina Cavalieri GomesDepartment of Pathology, Biological Science Institute, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0003-1580-4995
German Cancer Research Center · DEUniversidade Federal de Minas Gerais · BRUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sporadic giant cell granulomas (GCGs) of the jaws and cherubism-associated giant cell lesions share histopathological features and microscopic diagnosis alone can be challenging. Additionally, GCG can morphologically closely resemble other giant cell-rich lesions, including non-ossifying fibroma (NOF), aneurysmal bone cyst (ABC), giant cell tumour of bone (GCTB), and chondroblastoma. The epigenetic basis of these giant cell-rich tumours is unclear and DNA methylation profiling has been shown to be clinically useful for the diagnosis of other tumour types. Therefore, we aimed to assess the DNA methylation profile of central and peripheral sporadic GCG and cherubism to test whether DNA methylation patterns can help to distinguish them. Additionally, we compared the DNA methylation profile of these lesions with those of other giant cell-rich mimics to investigate if the microscopic similarities extend to the epigenetic level. DNA methylation analysis was performed for central (n = 10) and peripheral (n = 10) GCG, cherubism (n = 6), NOF (n = 10), ABC (n = 16), GCTB (n = 9), and chondroblastoma (n = 10) using the Infinium Human Methylation EPIC Chip. Central and peripheral sporadic GCG and cherubism share a related DNA methylation pattern, with those of peripheral GCG and cherubism appearing slightly distinct, while central GCG shows overlap with both of the former. NOF, ABC, GCTB, and chondroblastoma, on the other hand, have distinct methylation patterns. The global and enhancer-associated CpG DNA methylation values showed a similar distribution pattern among central and peripheral GCG and cherubism, with cherubism showing the lowest and peripheral GCG having the highest median values. By contrast, promoter regions showed a different methylation distribution pattern, with cherubism showing the highest median values. In conclusion, DNA methylation profiling is currently not capable of clearly distinguishing sporadic and cherubism-associated giant cell lesions. Conversely, it could discriminate sporadic GCG of the jaws from their giant cell-rich mimics (NOF, ABC, GCTB, and chondroblastoma).

Indexed as

Bone NeoplasmsCherubismChondroblastomaGiant Cell Tumor of BoneGranuloma, Giant CellDNA MethylationGiant CellsHumansJawaneurysmal bone cystbone pathologycherubismchondroblastomacopy number analysisDNA methylationepigeneticsgiant cell granulomasgiant cell tumour of bonenon-ossifying fibroma

Identifiers

PMID37555357
PMCPMC10556276
OpenAlexW4385683606

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.