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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expression of miR-296-5p as predictive marker for radiotherapy resistance in early-stage laryngeal carcinoma
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2015
|
| DOI | 10.1186/s12967-015-0621-y |
| Pubmed ID | |
| Authors |
Danielle Maia, Ana Carolina de Carvalho, Maria Aderuza Horst, André Lopes Carvalho, Cristovam Scapulatempo-Neto, Andre Luiz Vettore |
| Abstract |
Definitive radiation therapy is the mainstay of treatment for early stage laryngeal squamous cell carcinoma (LSCC). However, up to 30% of the patients do not respond to radiotherapy. Unfortunately, we are unable to predict which tumors are likely to respond to radiation, and which will be resistant and persist. Therefore, the development of novel markers to predict response to radiotherapy is urgently needed. This study was designed to evaluate the expression pattern of microRNAs (miRNAs) in LSCC in order to identify markers capable of segregating radioresistant and radiosensitive tumors and to investigate the relationship between the expression of these miRNAs and the prognosis of LSCC. The expression profile of 667 miRNAs was determined in an initial screening of nine early-stage LSCC samples (5 radioresistant and 4 radiosensitive) using TaqMan Low-Density Array (TLDA). Real-time polymerase chain reactions were performed to validate the expression of selected miRNAs in an expanded LSCC cohort (20 radioresistant and 14 radiosensitive). The miRNA expression level was scored as high or low based on the median of the expression in the LSCC samples. A comprehensive miRNA expression profiling enabled the identification of four miRNAs (miR-296-5p miR-452, miR-183* and miR-200c) differentially expressed in radioresistant LSCC. Moreover, the analysis of additional 34 LSCC samples, confirmed the expression of miR-296-5p as significantly related to radioresistance (p = 0.002) as well as an association of this marker with recurrence (p = 0.025) in early stage laryngeal cancer. This study indicates that miR-296-5p expression is associated with resistance to radiotherapy and tumor recurrence in early stage LSCC, showing the feasibility of this marker as a novel prognostic factor for this malignance. Furthermore, miR-296-5p expression could be helpful in the identification of tumors resistant to radiotherapy; thus aiding the clinicians in the choice of the best therapeutic scheme to be used in each case. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 24% |
| Student > Bachelor | 8 | 16% |
| Researcher | 6 | 12% |
| Student > Ph. D. Student | 5 | 10% |
| Professor > Associate Professor | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 41% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Agricultural and Biological Sciences | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 20% |
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 14 August 2015.
All research outputs
#18,805,293
of 23,305,591 outputs
Outputs from Journal of Translational Medicine
#3,032
of 4,112 outputs
Outputs of similar age
#191,738
of 265,500 outputs
Outputs of similar age from Journal of Translational Medicine
#110
of 110 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 265,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 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.