Evidence map›Paper›PMID 26213212›Full record

ArticleEpigenetics2015

Identification of methylation markers for the prediction of nodal metastasis in oral and oropharyngeal squamous cell carcinoma.

L J Melchers, M J A M Clausen, M F Mastik, L Slagter-Menkema, J E van der Wal, G B A Wisman, J L N Roodenburg, E Schuuring

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. DNA methylation biomarkers for predicting lymph node metastasis in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

8 authors at 4 institutions in 2 countries.

L J Melchersa Dept. of Oral & Maxillofacial Surgery ; University of Groningen; University Medical Center Groningen ; Groningen , The Netherlands.
M J A M Clausen
M F Mastik
L Slagter-Menkema
J E van der Wal
G B A Wisman
J L N Roodenburg
E Schuuring
University Medical Center Groningen · NLUniversity of Groningen · NLDialyse Centrum Groningen · NLMartini-Klinik · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypermethylation is an important mechanism for the dynamic regulation of gene expression, necessary for metastasizing tumour cells. Our aim is to identify methylation tumour markers that have a predictive value for the presence of regional lymph node metastases in patients with oral and oropharyngeal squamous cell carcinoma (OOSCC). Significantly differentially expressed genes were retrieved from four reported microarray expression profiles comparing pN0 and pN+ head-neck tumours, and one expression array identifying functionally hypermethylated genes. Additional metastasis-associated genes were included from the literature. Thus genes were selected that influence the development of nodal metastases and might be regulated by methylation. Methylation-specific PCR (MSP) primers were designed and tested on 8 head-neck squamous cell carcinoma cell lines and technically validated on 10 formalin-fixed paraffin-embedded (FFPE) OOSCC cases. Predictive value was assessed in a clinical series of 70 FFPE OOSCC with pathologically determined nodal status. Five out of 28 methylation markers (OCLN, CDKN2A, MGMT, MLH1 and DAPK1) were frequently differentially methylated in OOSCC. Of these, MGMT methylation was associated with pN0 status (P = 0.02) and with lower immunoexpression (P = 0.02). DAPK1 methylation was associated with pN+ status (P = 0.008) but did not associate with protein expression. In conclusion, out of 28 candidate genes, two (7%) showed a predictive value for the pN status. Both genes, DAPK1 and MGMT, have predictive value for nodal metastasis in a clinical group of OOSCC. Therefore DNA methylation markers are capable of contributing to diagnosis and treatment selection in OOSCC. To efficiently identify additional new methylation markers, genome-wide methods are needed.

Indexed as

DNA MethylationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorDeath-Associated Protein KinasesDNA Modification MethylasesDNA Repair EnzymesFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedBiomarkers, TumorDAPK1 protein, humanDeath-Associated Protein KinasesDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor ProteinsbiomarkerDAPK1expressionhead and neck cancerlymph node metastasismethylationMGMToral cancer

Identifiers

PMID26213212
PMCPMC4623460
OpenAlexW1938698939

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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.