| Title |
Ki-67, TGF-β1, and elastin content are significantly altered in lip carcinogenesis
|
|---|---|
| Published in |
Tumor Biology, May 2014
|
| DOI | 10.1007/s13277-014-1989-7 |
| Pubmed ID | |
| Authors |
Gabriela Salvadori, Jean Nunes dos Santos, Marco Antonio Trevizani Martins, Artur Cunha Vasconcelos, Luise Meurer, Pantelis Varvaki Rados, Vinicius Coelho Carrard, Manoela Domingues Martins |
| Abstract |
Epithelial changes observed in actinic cheilitis (AC) and lower lip squamous cell carcinoma (LLSCC) have been studied using different markers in order to observe diagnostic and prognostic factors for both lesions. The aim of the present study was to analyze Ki-67, TGF-β1, and elastin content in AC and LLSCC to determine the possible role of these proteins in lip carcinogenesis. Medical records of 29 cases of AC and 53 cases of LLSCC were analyzed. Lesions were classified according histological pattern and submitted to immunostaining for Ki-67, TGF-β1, and elastin. Different percentages of Ki-67-positive cells were found in AC depending on the degree of epithelial dysplasia (p < 0.01). An association was also found between the percentage of Ki-67-positive cells and tumor grade in LLSCC (p < 0.01). An inverse correlation was found between Ki-67 and TGF-β1 in AC and LLSCC (p < 0.01). Elastosis was thinner and more discontinuous in LLSCC in comparison to AC, and this difference in the elastin immunolabeling pattern was statistically significant between groups (p < 0.01). The present findings indicate that changes in Ki-67 and TGF-β1 content contribute to lip carcinogenesis. Furthermore, elastin content reflects changes in the extracellular matrix in both AC and LLSCC. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 3 | 19% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 44% |
| Chemistry | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 7 | 44% |
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 10 November 2014.
All research outputs
#20,242,779
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Outputs from Tumor Biology
#1,834
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Outputs of similar age
#193,321
of 227,423 outputs
Outputs of similar age from Tumor Biology
#64
of 91 outputs
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