| Title |
High serum microRNA-122 level is independently associated with higher overall survival rate in hepatocellular carcinoma patients
|
|---|---|
| Published in |
Tumor Biology, February 2015
|
| DOI | 10.1007/s13277-015-3128-5 |
| Pubmed ID | |
| Authors |
Yongqing Xu, Xianmin Bu, Chaoliu Dai, Chao Shang |
| Abstract |
Previous studies have shown that some microRNAs (miRs) are intensively involved in the development of hepatocellular carcinoma. We analyzed the prognostic role of serum microRNA (miR-122) levels in hepatocellular carcinoma patients using a retrospective design. MiR-122 levels in 122 hepatocellular carcinoma patients were measured, and Cox regression analysis was performed to analyze the prognostic role of miR-122 in hepatocellular carcinoma, and the hazard ratio (HR) with 95 % confidence interval (95 %CI) was used to evaluate its prognostic role. Patients with large tumor size had lower levels of serum miR-122 (P = 0.04). However, there was no significant association of serum miR-122 levels with other clinical characteristics. Kaplan-Meier method showed that there was higher overall survival rate in hepatocellular carcinoma patients with high serum miR-122 levels compared with those with low miR-122 level (P < 0.01). When using Cox regression analysis, high serum miR-122 level was independently associated with better overall survival in hepatocellular carcinoma patients (HR = 0.26; 95 %CI 0.14-0.47, P < 0.01). Subgroup analysis by gender showed that high serum miR-122 level was independently associated with better overall survival in male patients (HR = 0.08; 95 %CI 0.03-0.22, P < 0.01), but not in female patients (HR = 0.48; 95 %CI 0.18-1.32, P = 0.16). Thus, the outcomes in the analysis suggest that high serum miR-122 level is independently associated with higher overall survival rate in hepatocellular carcinoma patients, and it is a good biomarker of better prognosis in patients with hepatocellular carcinoma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 8% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Other | 4 | 17% |
| Student > Doctoral Student | 2 | 8% |
| Unspecified | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 6 | 25% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Agricultural and Biological Sciences | 3 | 13% |
| Unspecified | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 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 October 2015.
All research outputs
#18,393,912
of 22,783,848 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#256,720
of 352,508 outputs
Outputs of similar age from Tumor Biology
#81
of 164 outputs
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