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Mendeley readers
Attention Score in Context
| Title |
MiR-9, miR-21, and miR-155 as potential biomarkers for HPV positive and negative cervical cancer
|
|---|---|
| Published in |
BMC Cancer, September 2017
|
| DOI | 10.1186/s12885-017-3642-5 |
| Pubmed ID | |
| Authors |
Sunyoung Park, Kiyoon Eom, Jungho Kim, Hyeeun Bang, Hye-young Wang, Sungwoo Ahn, Geehyuk Kim, Hyoungsoon Jang, Sunghyun Kim, Dongsup Lee, Kwang Hwa Park, Hyeyoung Lee |
| Abstract |
Cervical cancer is the second leading cause of death among female patients with cancer in the world. High risk human papillomavirus has causal roles in cervical cancer initiation and progression by deregulating several cellular processes. However, HPV infection is not sufficient for cervical carcinoma development. Therefore, other genetic and epigenetic factors may be involved in this complex disease, and the identification of which may lead to better diagnosis and treatment. Our aim was to analyze the expression of microRNAs in cervical cancer cases positive or negative for HPV E6/E7 mRNA, and to assess their diagnostic usefulness and relevance. The expression of three different microRNAs (miR-9, miR-21, and miR-155) in 52 formalin-fixed paraffin-embedded (FFPE) primary cervical cancer tissue samples and 50 FFPE normal cervical tissue samples were evaluated. MiR-9, miR-21, and miR-155 were significantly overexpressed in cervical cancer tissues compared to normal tissues (P < 0.001). MiR-21 and miR-155 expression combined with the HPV E6/E7 mRNA assay in HPV E6/E7 negative cervical cancer showed increased AUC of 0.7267 and 0.7000, respectively (P = 0.01, P = 0.04), demonstrating their potential as diagnostic tools. Moreover, miR-21 and miR-155 were predictors showing a 7 fold and 10.3 fold higher risk for HPV E6/E7 negative patients with cervical cancer (P = 0.024 and P = 0.017, respectively) while miR-155 was a predictor showing a 27.9 fold higher risk for HPV E6/E7 positive patients with cervical cancer (P < 0.0001). There is a strong demand for additional, alternative molecular biomarkers for diagnosis and management of precancer patients. MiR-21 and miR-155 may be helpful in the prediction of both HPV positive and HPV negative cases of cervical cancer. |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Bachelor | 13 | 15% |
| Student > Ph. D. Student | 9 | 10% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 27 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 23% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Immunology and Microbiology | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 30 | 34% |
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 September 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from BMC Cancer
#6,529
of 8,356 outputs
Outputs of similar age
#278,224
of 318,503 outputs
Outputs of similar age from BMC Cancer
#96
of 115 outputs
Altmetric has tracked 23,003,906 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 8,356 research outputs from this source. They receive a mean Attention Score of 4.3. 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 318,503 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 115 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.