Evidence map›Paper›PMID 21569495›Full record

ArticleBMC medical genetics2011

A 115-bp MethyLight assay for detection of p16 (CDKN2A) methylation as a diagnostic biomarker in human tissues.

Jing Zhou, Jie Cao, Zheming Lu, Hongwei Liu, Dajun Deng

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2011. 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
1.2field-weighted citation impact, top 22% 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, 24 citations in OpenAlex.

  1. Cancers · 2026
    Article
  2. CDKN2A somatic copy number amplification in normal tissues surrounding gastric carcinoma reduces cancer metastasis risk in droplet digital PCR analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  13. Article
  14. 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

5 authors at 2 institutions in 1 country.

Jing ZhouKey Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, China.
Jie Cao
Zheming Lu
Hongwei Liu
Dajun Deng
Peking University · CNPeking University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundp16 Methylation is a potential biomarker for prediction of malignant transformation of epithelial dysplasia. A probe-based, quantitative, methylation-specific PCR (MSP) called MethyLight may become an eligible method for detecting this marker clinically. We studied oral mucosa biopsies with epithelial dysplasia from 78 patients enrolled in a published 4-years' followup cohort, in which cancer risk for patients with p16 methylation-positive dysplasia was significantly higher than those without p16 methylation (by 150-bp MSP and bisulfite sequencing; +133 ~ +283, transcription starting site, +1). The p16 methylation status in samples (N = 102) containing sufficient DNA was analyzed by the 70-bp classic (+238 ~ +307) and 115-bp novel (+157 ~ +272) MethyLight assays, respectively.

resultsp16 Methylation was detectable in 75 samples using the classic MethyLight assay. The methylated-p16 positive rate and proportion of methylated-p16 by the MethyLight in MSP-positive samples were higher than those in MSP-negative samples (positive rate: 37/44 vs. 38/58, P=0.035, two-sided; proportion [median]: 0.78 vs. 0.02, P <0.007). Using the published results of MSP as a golden standard, we found sensitivity, specificity, and accuracy for this MethyLight assay to be 70.5%, 84.5%, and 55.0%, respectively. Because amplicon of the classic MethyLight procedure only partially overlapped with the MSP amplicon, we further designed a 115-bp novel MethyLight assay in which the amplicon on the sense-strand fully overlapped with the MSP amplicon on the antisense-strand. Using the 115-bp MethyLight assay, we observed methylated-p16 in 26 of 44 MSP-positive samples and 2 of 58 MSP-negative ones (P = 0.000). These results were confirmed with clone sequencing. Sensitivity, specificity, and accuracy using the 115-bp MethyLight assay were 59.1%, 98.3%, and 57.4%, respectively. Significant differences in the oral cancer rate were observed during the followup between patients (≥60 years) with and without methylated-p16 as detected by the 115-bp MethyLight assay (6/8 vs. 6/22, P = 0.034, two-sided).

conclusionsThe 115-bp MethyLight assay is a useful and practical assay with very high specificity for the detection of p16 methylation clinically.

Indexed as

Genes, p16Cell Transformation, NeoplasticCohort StudiesCpG IslandsDNA MethylationEpithelial CellsGenetic MarkersHumansMouth MucosaNeoplasmsPolymerase Chain ReactionPrecancerous ConditionsSensitivity and SpecificityGenetic Markers

Identifiers

PMID21569495
PMCPMC3120739
OpenAlexW2112031808

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.