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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High‐risk human papillomavirus infection in different histological subtypes of renal cell carcinoma
|
|---|---|
| Published in |
Journal of Medical Virology, April 2014
|
| DOI | 10.1002/jmv.23945 |
| Pubmed ID | |
| Authors |
Ali Farhadi, Abbas Behzad‐Behbahani, Bita Geramizadeh, Zamberi Sekawi, Marjan Rahsaz, Sedigheh Sharifzadeh |
| Abstract |
Limited data exist regarding whether a high-risk human papillomavirus (HR-HPV) infection increases the risk of developing renal cell carcinoma. The aim of this study was to investigate whether HPV infection has a role in the pathogenesis or development of a certain histological subtype of renal cell carcinoma. Formalin-fixed paraffin-embedded (FFPE) specimens of 122 patients with histopathologically proven renal cell carcinoma and their respective peritumoral tissues were examined. The presence of HPV-DNA was determined by a combination of MY/GP+ consensus primers and HPV-16/18 type specific nested PCRs followed by direct sequencing. Catalyzed signal-amplified colorimetric in situ hybridization (CSAC-ISH) technique was applied to determine the physical status of viral genome. The expression of p16INK4a and HPV L1 capsid proteins was evaluated using immunohistochemistry. HPV genome was detected in 37 (30.3%) tumor specimens and their four (4.1%) corresponding peritumoral tissues. HPV-18 was the most common viral type identified followed by HPV-16 and 58. Immunoexpression of p16INK4a was detected in 24 (20.3%) cases. Data analysis showed a significant correlation between p16INK4a expression and the presence of HR-HPV DNA (P < 0.001). CSAC-ISH analysis confirmed HR-HPV infection in 45% of tumors, which were previously tested positive for HPV-DNA. Diffuse signal pattern was identified in 15 (83.3%) samples whereas a mixed pattern of diffuse and punctate signals was only detectable in three cases. The results indicate an association of HR-HPV types with renal cell carcinoma. It is proposed that HPV infection in high-grade tumors might precede disease progression in a number of tumors, particularly of the papillary subtype. |
X Demographics
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Unspecified | 2 | 7% |
| Other | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 7 | 24% |
| Unknown | 10 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 9 | 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 28 January 2015.
All research outputs
#22,012,573
of 24,558,777 outputs
Outputs from Journal of Medical Virology
#4,972
of 5,489 outputs
Outputs of similar age
#200,367
of 230,460 outputs
Outputs of similar age from Journal of Medical Virology
#26
of 32 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,460 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.