| Title |
Piwi-Interacting RNAs (piRNAs) Are Dysregulated in Renal Cell Carcinoma and Associated with Tumor Metastasis and Cancer-Specific Survival
|
|---|---|
| Published in |
Molecular Medicine, May 2015
|
| DOI | 10.2119/molmed.2014.00203 |
| Pubmed ID | |
| Authors |
Yuping Li, Xiwei Wu, Hanlin Gao, Jennifer M. Jin, Arthur X. Li, Young S. Kim, Sumanta K. Pal, Rebecca A. Nelson, Clayton M. Lau, Chao Guo, Bing Mu, Jinhui Wang, Frances Wang, Jessica Wang, Yuanyin Zhao, Wengang Chen, John J. Rossi, Lawrence M. Weiss, Huiqing Wu |
| Abstract |
Piwi-interacting RNAs (piRNAs) are a distinct group of small non-coding RNAs (sncRNAs) that silence transposable genetic elements to protect genome integrity. Due to their limited expression in gonads and sequence diversity, piRNAs remain the most mysterious class of small RNAs. Studies have shown piRNAs are present in somatic cells and dysregulated in gastric, breast and liver cancers. By deep sequencing 24 frozen benign kidney and clear cell renal cell carcinoma (ccRCC) specimens and using the publically available piRNA database, we found 26,991 piRNAs present in human kidney tissue. Among 920 piRNAs that at least had two copies in one specimen, 19 were differentially expressed in benign kidney and ccRCC tissues, and 46 were associated with metastasis. Among the metastasis-related piRNAs, we found 3 piRNAs, piR-32051, piR-39894 and piR-43607, to be derived from the same piRNA cluster at chromosome 17. We confirmed the 3 selected piRNAs not to be miRNAs or miRNA-like sncRNAs. We further validated the aberrant expression of the 3 piRNAs in a 68-case formalin-fixed and paraffin-embedded (FFPE) ccRCC tissue cohort and showed the upregulation of the 3 piRNAs to be highly associated with ccRCC metastasis, late clinical stage and cancer-specific survival. |
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 % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 10 | 14% |
| Researcher | 9 | 13% |
| Student > Bachelor | 5 | 7% |
| Other | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 34% |
| Agricultural and Biological Sciences | 10 | 14% |
| Chemistry | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Unspecified | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 18 | 25% |
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 24 May 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from Molecular Medicine
#807
of 1,136 outputs
Outputs of similar age
#156,499
of 264,532 outputs
Outputs of similar age from Molecular Medicine
#10
of 18 outputs
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