| Title |
High-risk oral leukoplakia is associated with aberrant promoter methylation of multiple genes
|
|---|---|
| Published in |
BMC Cancer, June 2016
|
| DOI | 10.1186/s12885-016-2371-5 |
| Pubmed ID | |
| Authors |
Masanobu Abe, Satoshi Yamashita, Yoshiyuki Mori, Takahiro Abe, Hideto Saijo, Kazuto Hoshi, Toshikazu Ushijima, Tsuyoshi Takato |
| Abstract |
Early detection of oral squamous cell carcinomas (OSCCs) is urgently needed to improve the prognosis and quality of life (QOL) of patients. Oral leukoplakias (OLs), known as the most common premalignant lesions in the oral cavity, often precede OSCCs. Especially, OLs with dysplasia are known to have a high risk of malignant transformation. Here, we searched for the promoter methylation characteristic of high-risk OLs. To identify methylation-silenced genes, a combined analysis of methylated DNA immunoprecipitation (MeDIP) - CpG island (CGI) microarray analysis and expression microarray analysis after treatment with a demethylating agent was performed in two OSCC cell lines (Ca9-22 and HSC-2). The methylation statuses of each gene were examined by methylation-specific PCR. A total of 52 genes were identified as candidates for methylation-silenced genes in Ca9-22 or HSC-2. The promoter regions of 13 genes among the 15 genes randomly selected for further analysis were confirmed to be methylated in one or more of five cell lines. In OSCC tissues (n = 26), 8 of the 13 genes, TSPYL5, EGFLAM, CLDN11, NKX2-3, RBP4, CMTM3, TRPC4, and MAP6, were methylated. In OL tissues (n = 24), seven of the eight genes, except for EGFLAM, were found to be methylated in their promoter regions. There were significantly greater numbers of methylated genes in OLs with dysplasia than in those without dysplasia (p < 0.0001). OLs at high risk for malignant transformation were associated with aberrant promoter methylation of multiple genes. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Postgraduate | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Professor | 4 | 8% |
| Other | 15 | 28% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 45% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Agricultural and Biological Sciences | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 July 2016.
All research outputs
#13,109,409
of 22,876,619 outputs
Outputs from BMC Cancer
#2,799
of 8,323 outputs
Outputs of similar age
#169,879
of 339,345 outputs
Outputs of similar age from BMC Cancer
#47
of 172 outputs
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We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.