| Title |
Aberrant expression of long noncoding RNAs in colorectal cancer with liver metastasis
|
|---|---|
| Published in |
Tumor Biology, June 2015
|
| DOI | 10.1007/s13277-015-3627-4 |
| Pubmed ID | |
| Authors |
Le-chi Ye, Li Ren, Jun-jun Qiu, De-xiang Zhu, Tao Chen, Wen-ju Chang, Shi-xu Lv, Jianmin Xu |
| Abstract |
Long noncoding RNA (lncRNA) plays a crucial role in the regulation of various cellular processes and human diseases. However, little is known about the role of lncRNAs in colorectal liver metastasis (CLM). In the present study, we aimed to determine whether lncRNAs are differentially expressed in CLM tissue and to further assess their clinical value. lncRNA arrays were employed to screen for differentially expressed lncRNAs in colorectal cancer (CRC) tissues with synchronous, metachronous, or nonliver metastasis. Based on bioinformatics data, a quantitative reverse-transcription polymerase chain reaction (qRT-PCR) assay was performed to identify target lncRNAs in an expanded set of CRC samples with various subtypes of liver metastasis. The relationships between the target lncRNAs and the clinical characteristics and patient prognosis were further analyzed. After determining the expression profile of lncRNAs (n = 1332) in CLM tissue, 40 differentially expressed lncRNAs that were potentially related to CLM were selected for further examination in an expanded set of clinical samples, and three novel target lncRNAs, termed lncRNA-CLMAT1-3, were verified. High lncRNA-CLMAT3 expression strongly correlated with liver metastasis (P = 0.03) and lymph node metastasis (P = 0.009). Moreover, patients displaying high lncRNA-CLMAT3 expression exhibited a shorter median overall survival duration than those displaying low lncRNA-CLMAT3 expression (30.7 vs. 35.2 months, P = 0.007). Multivariate analysis demonstrated that the lncRNA-CLMAT3 expression level is an independent prognostic factor (hazard ratio 2.05, P = 0.02) after adjusting for other known prognostic factors. lncRNA-CLMAT3 over-expression was significantly associated with CLM and was an independent predictor of poor survival for patients with CRC. |
X Demographics
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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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 5 | 23% |
| Researcher | 4 | 18% |
| Student > Doctoral Student | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 27% |
| Medicine and Dentistry | 6 | 27% |
| Agricultural and Biological Sciences | 3 | 14% |
| Neuroscience | 2 | 9% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |
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 April 2016.
All research outputs
#17,761,927
of 22,811,321 outputs
Outputs from Tumor Biology
#1,219
of 2,622 outputs
Outputs of similar age
#179,487
of 266,356 outputs
Outputs of similar age from Tumor Biology
#50
of 158 outputs
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