| Title |
The role of tumor suppressor gene SOX11 in prostate cancer
|
|---|---|
| Published in |
Tumor Biology, March 2015
|
| DOI | 10.1007/s13277-015-3296-3 |
| Pubmed ID | |
| Authors |
Zhiyong Yao, Bin Sun, Quan Hong, Jingmin Yan, Dawei Mu, Jianye Li, Haibo Sheng, Heqing Guo |
| Abstract |
SOX genes play an important role in a number of developmental processes. The transcription factor SOX11 is one of the members of the SOX family emerging as important transcriptional regulators. The aim of this study was to investigate the role of SOX11 in prostate cancer (PCa) and its expression pattern and clinical significance. The gene expression of SOX11 in human PCa tissues compared with benign prostate hyperplasia (BPH) tissues was detected using real-time quantitative reverse transcriptase-polymerase chain reaction (QRT-PCR) analysis and immunohositochemistry. SOX11 overexpression cell model was used to examine the role of SOX11 in cell growth and metastasis in vitro. The results showed that the positive rate of SOX11 staining was 16.67 % (10/60) in cases of prostatic carcinoma and 81.67 % (49/60) in cases of BPH, and the difference of SOX11 expression between PCa and BPH was statistically significant (P < 0.001). SOX11 mRNA level was lowly expressed in PCa cell lines compared to RWPE-1. SOX11 overexpression suppresses PCa cell migration and invasion. In conclusion, our findings demonstrate that SOX11 could suppress cell proliferation, migration, and invasion of PCa in vitro. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 21% |
| Student > Ph. D. Student | 3 | 21% |
| Lecturer | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 29% |
| Agricultural and Biological Sciences | 3 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Chemical Engineering | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
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 December 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#191,060
of 261,659 outputs
Outputs of similar age from Tumor Biology
#73
of 162 outputs
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