| Title |
Roles of microRNA-124a and microRNA-30d in breast cancer patients with type 2 diabetes mellitus
|
|---|---|
| Published in |
Tumor Biology, February 2016
|
| DOI | 10.1007/s13277-016-4981-6 |
| Pubmed ID | |
| Authors |
Shu Zhang, Ling-Ji Guo, Gang Zhang, Ling-Li Wang, Shuai Hao, Bo Gao, Yan Jiang, Wu-Guo Tian, Xian-E Cao, Dong-Lin Luo |
| Abstract |
The aim of the study is to explore roles of microRNA (miR)-124a and miR-30d in breast cancer (BC) patients with type 2 diabetes mellitus (T2DM). A total of 144 cases of confirmed diagnosed BC with T2DM, T2DM, BC, or healthy people were enrolled. Among them, BC patients with T2DM were regarded as the experiment group (n = 36), patients with T2DM as the Dm group (n = 36), patients with BC as the Bc group (n = 36), and healthy subjects as the healthy group (n = 36). The fasting insulin resistance index, glycosylated hemoglobin, and estradiol were measured. MiR-124a and miR-30d expressions were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The insulin resistance index was significantly higher in the experiment group compared to the other three groups (all P < 0.05). The glycated hemoglobin was in a normal range in the Bc group and healthy group, but was higher in the experiment group and the Bc group compared to that in the healthy group (both P < 0.05). The serum estradiol level was obviously higher in the Bc group compared with that in the Dm group and the experiment group (both P < 0.05). The expressions of miR-124a and miR-30d were positively correlated with insulin resistance index, BMI and glycosylated hemoglobin (miR-124a r = 0.659, r = 0.785, and r = 0.862; miR-30d r = 0.742, r = 0.805, r = 0.765; all P < 0.001). Insulin resistance index was an independent factor for expressions of miR124-a and miR-30d. MiR-124a and miR-30d were correlated with insulin resistance and development of BC with T2DM. Although the mechanism is not clear, miR-124a and miR-30d potentially may be used as therapeutic targets and prognostic markers for BC patients with T2DM. |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 6 | 14% |
| Student > Master | 6 | 14% |
| Researcher | 5 | 12% |
| Professor > Associate Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 26% |
| Medicine and Dentistry | 8 | 19% |
| Agricultural and Biological Sciences | 5 | 12% |
| Nursing and Health Professions | 4 | 10% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 10 | 24% |
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 22 February 2016.
All research outputs
#19,054,237
of 23,613,071 outputs
Outputs from Tumor Biology
#1,389
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Outputs of similar age
#218,236
of 299,163 outputs
Outputs of similar age from Tumor Biology
#59
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