| Title |
Telomerase promoter mutations in human immunodeficiency virus-related conjunctiva neoplasia
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2018
|
| DOI | 10.1186/s12967-018-1456-0 |
| Pubmed ID | |
| Authors |
Noemy Starita, Luigi Buonaguro, Franco M. Buonaguro, Maria Lina Tornesello |
| Abstract |
Squamous cell carcinoma (SCC) of the conjunctiva is a common cancer in Africa mainly associated with solar ultraviolet (UV) exposure and human immunodeficiency virus (HIV) infection. We analyzed the role of HIV on the occurrence of telomerase reverse transcriptase (TERT) promoter mutations among a cohort of conjunctiva neoplasia Ugandan patients. Telomerase reverse transcriptase promoter mutations were searched in 72 conjunctiva neoplasia cases, comprising SCC and intraepithelial neoplasia grade 1-3 (CIN1-3), as well as in 53 conjunctiva normal tissues and in 24 HIV-related Kaposi sarcoma. The average prevalence of TERT promoter mutations in conjunctiva neoplasia was 31.9%. The mutation rates were significantly higher in HIV-positive (31.8% of CIN1 and CIN2, 46.2% of CIN3 and SCC,) than HIV-negative patients (22.2% of CIN1 and CIN2, 13.3% of CIN3 and SCC). Such mutations were rarely identified among HIV-positive conjunctiva controls (3.6%) and never in Kaposi sarcoma lesions. The most frequent variations were the hot spots - 124G>A and - 146G>A and tandem transitions - 124_125GG>AA and - 138_139GG>AA. Telomerase reverse transcriptase promoter mutations are early events in conjunctival neoplasia and could be used for timely diagnosis of conjunctiva tumours. The high frequency of UV-signatures in HIV-positive conjunctiva lesions suggests an additive effect of the virus to UV-related mutagenesis. |
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 % |
|---|---|---|
| Unknown | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Nursing and Health Professions | 1 | 5% |
| Computer Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 40% |
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 22 March 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from Journal of Translational Medicine
#2,259
of 4,029 outputs
Outputs of similar age
#212,232
of 332,402 outputs
Outputs of similar age from Journal of Translational Medicine
#47
of 97 outputs
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