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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of microRNA profile specific to cancer stem-like cells directly isolated from human larynx cancer specimens
|
|---|---|
| Published in |
BMC Cancer, November 2016
|
| DOI | 10.1186/s12885-016-2863-3 |
| Pubmed ID | |
| Authors |
Omer Faruk Karatas, Ilknur Suer, Betul Yuceturk, Mehmet Yilmaz, Buge Oz, Gulgun Guven, Harun Cansiz, Chad J. Creighton, Michael Ittmann, Mustafa Ozen |
| Abstract |
Emerging evidences proposed that microRNAs are associated with regulation of distinct physio-pathological processes including development of normal stem cells and carcinogenesis. In this study we aimed to investigate microRNA profile of cancer stem-like cells (CSLCs) isolated form freshly resected larynx cancer (LCa) tissue samples. CD133 positive (CD133(+)) stem-like cells were isolated from freshly resected LCa tumor specimens. MicroRNA profile of 12 pair of CD133(+) and CD133(-) cells was determined using microRNA microarray and differential expressions of selvected microRNAs were validated by quantitative real time PCR (qRT-PCR). MicroRNA profiling of CD133(+) and CD133(-) LCa samples with microarray revealed that miR-26b, miR-203, miR-200c, and miR-363-3p were significantly downregulated and miR-1825 was upregulated in CD133(+) larynx CSLCs. qRT-PCR analysis in a total of 25 CD133(+)/CD133(-) sample pairs confirmed the altered expressions of these five microRNAs. Expressions of miR-26b, miR-200c, and miR-203 were significantly correlated with miR-363-3p, miR-203, and miR-363-3p expressions, respectively. Furthermore, in silico analysis revealed that these microRNAs target both cancer and stem-cell associated signaling pathways. Our results showed that certain microRNAs in CD133(+) cells could be used as cancer stem cell markers. Based on these results, we propose that this panel of microRNAs might carry crucial roles in LCa pathogenesis through regulating stem cell properties of tumor cells. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Bachelor | 5 | 21% |
| Researcher | 5 | 21% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Medicine and Dentistry | 5 | 21% |
| Agricultural and Biological Sciences | 4 | 17% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
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 13 November 2016.
All research outputs
#15,392,529
of 22,899,952 outputs
Outputs from BMC Cancer
#4,126
of 8,328 outputs
Outputs of similar age
#195,698
of 311,515 outputs
Outputs of similar age from BMC Cancer
#57
of 119 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,328 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 40th percentile – i.e., 40% 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 311,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.