| Title |
The expression of microRNA-34a is inversely correlated with c-MET and CDK6 and has a prognostic significance in lung adenocarcinoma patients
|
|---|---|
| Published in |
Tumor Biology, June 2015
|
| DOI | 10.1007/s13277-015-3428-9 |
| Pubmed ID | |
| Authors |
Ji Hyung Hong, Kang San Roh, Sung-Suk Suh, Sukchan Lee, Sook Whan Sung, Jae Kil Park, Jae Ho Byun, Jin Hyoung Kang |
| Abstract |
We aimed to establish whether the expression of microRNA-34a (miR-34a) is correlated with that of c-MET and G1 phase regulators such as cyclin dependent kinase (CDK) 4, CDK6, and cyclin D (CCND) 1 in non-small cell lung cancer (NSCLC), and whether a relationship exists between miR-34a expression and both clinicopathologic factors and recurrence-free survival (RFS). For 58 samples archived from NSCLC patients, we measured the expression of miR-34a and c-MET, CDK4/6, and CCND1 by quantitative RT-PCR and assessed the relationship between miR-34a expression, clinicopathological factors, and RFS. The expression of miR-34a was significantly lower in squamous cell tumors (P < 0.001) and in tumors associated with lymphatic invasion (P = 0.001). We found significant inverse correlations between miR-34a and c-MET (R = -0.316, P = 0.028) and CDK6 expression (R = -0.4582, P = 0.004). RFS were longer in adenocarcinoma patients with high miR-34a expression than in those with low miR-34a expression (55.6 vs. 21.6 months; P = 0.020). With univariate analysis, statistically significant prognostic factors for RFS in adenocarcinoma patients were miR-34a expression (Relative risk (RR), 8.14; P = 0.049), TNM stage (RR, 13.55; P = 0.001), LN metastasis (RR, 4.19; P = 0.043), and the presence of lymphatic invasion (RR, 7.05; P = 0.015). In multivariate analysis, only miR-34a was prognostic for RFS (RR, 11.5; P = 0.027). miR-34a expression was inversely correlated with that of c-MET and CDK6 in NSCLC, and had prognostic significance for RFS, especially in adenocarcinoma patients. |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Researcher | 2 | 13% |
| Professor | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 31% |
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 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 25 June 2015.
All research outputs
#20,281,599
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Outputs from Tumor Biology
#1,834
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Outputs of similar age
#219,909
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Outputs of similar age from Tumor Biology
#105
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