| Title |
Real-time polymerase chain reaction analysis of MDM2 and CDK4expression using total RNA from core-needle biopsies is useful for diagnosing adipocytic tumors
|
|---|---|
| Published in |
BMC Cancer, June 2014
|
| DOI | 10.1186/1471-2407-14-468 |
| Pubmed ID | |
| Authors |
Taro Sasaki, Akira Ogose, Hiroyuki Kawashima, Tetsuo Hotta, Hiroshi Hatano, Takashi Ariizumi, Hajime Umezu, Riuko Ohashi, Tsuyoshi Tohyama, Naohito Tanabe, Naoto Endo |
| Abstract |
Diagnosing adipocytic tumors can be challenging because it is often difficult to morphologically distinguish between benign, intermediate and malignant adipocytic tumors, and other sarcomas that are histologically similar. Recently, a number of tumor-specific chromosome translocations and associated fusion genes have been identified in adipocytic tumors and atypical lipomatous tumors/well-differentiated liposarcomas (ALT/WDL), which have a supernumerary ring and/or giant chromosome marker with amplified sequences of the MDM2 and CDK4 genes. The purpose of this study was to investigate whether quantitative real-time polymerase chain reaction (PCR) could be used to amplify MDM2 and CDK4 from total RNA samples obtained from core-needle biopsy sections for the diagnosis of ALT/WDL. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Master | 3 | 17% |
| Lecturer | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 44% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 June 2014.
All research outputs
#14,782,026
of 22,757,541 outputs
Outputs from BMC Cancer
#3,662
of 8,276 outputs
Outputs of similar age
#127,317
of 227,902 outputs
Outputs of similar age from BMC Cancer
#60
of 148 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,276 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% of its peers.
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We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.