| Title |
WT1, MSH6, GATA5 and PAX5 as epigenetic oral squamous cell carcinoma biomarkers - a short report
|
|---|---|
| Published in |
Cellular Oncology, August 2016
|
| DOI | 10.1007/s13402-016-0293-5 |
| Pubmed ID | |
| Authors |
Ilda Patrícia Ribeiro, Francisco Caramelo, Francisco Marques, Ana Domingues, Margarida Mesquita, Leonor Barroso, Hugo Prazeres, Maria José Julião, Isabel Poiares Baptista, Artur Ferreira, Joana Barbosa Melo, Isabel Marques Carreira |
| Abstract |
Oral squamous cell carcinoma (OSCC) is a frequently occurring aggressive malignancy with a heterogeneous clinical behavior. Based on the paucity of specific early diagnostic and prognostic biomarkers, which hampers the appropriate treatment and, ultimately the development of novel targeted therapies, we aimed at identifying such biomarkers through a genetic and epigenetic analysis of these tumors. 93 primary OSCCs were subjected to DNA copy number alteration (CNA) and methylation status analyses using methylation-specific multiplex ligation-dependent probe amplification (MS-MPLA). The genetic and epigenetic OSCC profiles obtained were associated with the patients' clinic-pathological features. We found that WT1 gene promoter methylation is a predictor of a better prognosis and that MSH6 and GATA5 gene promoter methylation serve as predictors of a worse prognosis. GATA5 gene promoter methylation was found to be significantly associated with a shorter survival rate. In addition, we found that PAX5 gene promoter methylation was significantly associated with tongue tumors. To the best of our knowledge, this is the first study that highlights this specific set of genes as epigenetic diagnostic and prognostic biomarkers in OSCC. Our data highlight the importance of epigenetically assessing OSCCs to identify key genes that may serve as diagnostic and prognostic biomarkers and, potentially, as candidate therapeutic targets. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Student > Bachelor | 5 | 19% |
| Student > Master | 4 | 15% |
| Researcher | 2 | 8% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 27% |
| Agricultural and Biological Sciences | 1 | 4% |
| Computer Science | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 August 2016.
All research outputs
#21,498,958
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Outputs from Cellular Oncology
#316
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Outputs of similar age
#331,088
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Outputs of similar age from Cellular Oncology
#5
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