| Title |
miR-492G>C polymorphism (rs2289030) is associated with overall survival of hepatocellular carcinoma patients
|
|---|---|
| Published in |
Tumor Biology, January 2016
|
| DOI | 10.1007/s13277-015-4752-9 |
| Pubmed ID | |
| Authors |
Guopeng Yu, Qianyi Xiao, Xiao-Pin Ma, Xubo Chen, Zhuqing Shi, Lu-Yao Zhang, Haitao Chen, Pengyin Zhang, Dong-Lin Ding, Hui-Xing Huang, Hexige Saiyin, Tao-Yang Chen, Pei-Xin Lu, Neng-Jin Wang, Hongjie Yu, Jielin Sun, Carly Conran, S. Lilly Zheng, Jianfeng Xu, Long Yu, De-Ke Jiang |
| Abstract |
Single-nucleotide polymorphisms (SNPs) of microRNAs (miRNAs) are considered potential markers of cancer risk and prognosis in various cancers. In the current study, the primary aim is to determine whether the miR-492G>C polymorphism (rs2289030) altered hepatocellular carcinoma (HCC) prognosis. The SNP rs2289030 of miR-492 was genotyped using DNA from blood samples of 362 HCC patients that had undergone surgical resection of a HCC tumor. The associations between overall survival and demographic characteristics, clinical features, and the SNP rs2289030 were estimated using the Cox proportional hazards model. Results showed that patients who carried the CG genotype (P = 0.015, hazard ratio [HR] = 0.704, 95 % confidence interval [CI] 0.530-0.934) and CG+GG genotype (P = 0.011, HR = 0.703, 95 % CI 0.536-0.924) had significantly decreased risk of death compared to those with the CC genotype. Similar results were found in the multivariate analysis adjusted by tumor size and venous invasion. Further stratification analysis indicated that the effect of rs2289030 had more prominence in patients ≤50 years old and that reported ever using alcohol, male gender, a family history of HCC, being HbsAg or alpha fetoprotein (AFP) positive, differentiation I + II, presence of venous invasion or cirrhosis, multiple tumors, and pTNM stage I + II. Results from this study illustrate the potential use of miR-492 rs2289030 as a prognostic marker for HCC patients that have undergone a surgical resection of the tumor. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 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 > Doctoral Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 36% |
| Medicine and Dentistry | 3 | 21% |
| Nursing and Health Professions | 2 | 14% |
| Unknown | 4 | 29% |
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 January 2016.
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#20,300,248
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#1,834
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#331,663
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Outputs of similar age from Tumor Biology
#174
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