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Serum microRNA-145 as a novel biomarker in human ovarian cancer

Overview of attention for article published in Tumor Biology, February 2015
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Title
Serum microRNA-145 as a novel biomarker in human ovarian cancer
Published in
Tumor Biology, February 2015
DOI 10.1007/s13277-015-3191-y
Pubmed ID
Authors

Huichao Liang, Zhipeng Jiang, Guie Xie, Yan Lu

Abstract

Ovarian cancer is one of the most threatening diseases among women in the world. Current detection methods are expensive and lack accuracy. Thus, a fast, non-invasive biomarker for detecting ovarian cancer is urgently needed. Compelling evidences have been demonstrated that microRNAs, a large family of single-stranded and non-protein-coding RNA molecules, can serve as useful biomarkers in cancer detection. In this study, the relative expressions of microRNA-145 (miR-145) in the serum of patients with ovarian cancer and healthy controls were investigated in an independent study. Subsequently, the diagnosis and prognosis value of miR-145 as a biomarker for ovarian cancer were examined. Furthermore, we performed a meta-analysis to summarize all the results from published studies and this study. Relative expressions of miR-145 were investigated in three independent groups (malignant ovarian cancer, benign ovarian tumor, and healthy controls), comprising a total of 270 participants. Receiver operating characteristic (ROC) curves and overall survival (OS) curves were conducted to compare miR-145 level and clinical characteristics among the three groups. The results showed that relative expressions of the serum miR-145 were significantly down-regulated in patients with malignant ovarian cancer and benign ovarian cancer, compared to healthy controls (P < 0.01). Serum miR-145 levels could discriminate patients with malignant ovarian cancer from healthy controls, with a power area under the curve (AUC) of 0.82 (95 % confidence interval (CI) = 0.77-0.88). Furthermore, patients with low serum levels of miR-145 had a significantly shorter median overall survival rate (hazard ratio (HR) = 1.81, 95 % CI = 1.03-3.17, P = 0.039). The meta-analysis yields good diagnostic performances of miR-145 in various cancers, with an AUC of 0.82 (95 % CI, 0.78-0.85). In conclusion, the present study suggested that miR-145 can potentially serve as an outstanding biomarker for ovarian and other human cancers detection.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 25%
Student > Ph. D. Student 8 18%
Researcher 7 16%
Student > Bachelor 5 11%
Lecturer 3 7%
Other 3 7%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 25%
Agricultural and Biological Sciences 9 20%
Medicine and Dentistry 8 18%
Chemistry 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 2 5%
Unknown 9 20%
Attention Score in Context

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 28 February 2015.
All research outputs
#20,263,155
of 22,793,427 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#215,413
of 255,577 outputs
Outputs of similar age from Tumor Biology
#100
of 176 outputs
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