Evidence map›Paper›PMID 27071841›Full record

ArticleScientific reports2016

High expression of microRNA-183/182/96 cluster as a prognostic biomarker for breast cancer.

Cailu Song, Lijuan Zhang, Jin Wang, Zhongying Huang, Xing Li, Mingqing Wu, Shuaijie Li, Hailin Tang, Xiaoming Xie

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. MicroRNAs as therapeutic targets in breast cancer metastasis.Drug delivery and translational research · 2022
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  20. miR-96-5p targets PTEN expression affecting radio-chemosensitivity of HNSCC cells.Journal of experimental & clinical cancer research : CR · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cailu SongDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Lijuan ZhangDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Jin WangDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Zhongying HuangDepartment of Nursing, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.
Xing LiDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Mingqing WuDepartment of Cancer Prevention Center, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.
Shuaijie LiDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Hailin TangDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Xiaoming XieDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More sensitive and effective diagnostic markers for the detection of breast cancer are urgently needed. The microRNA-183/182/96 cluster has been reported to be involved in tumorigenesis and progression in a variety of cancers, and it is a promising cancer prognostic biomarker. The goal of this study was to determine the expression levels of the miR-183/182/96 cluster in breast cancer tissues and evaluate its prognostic role in breast cancer. Real-time quantitative polymerase chain reaction analysis (qRT-PCR) was used to detect the expression levels of the miR-183/182/96 cluster in 41 breast cancer tissues and adjacent normal tissues (control tissues) and also in different mammary cell lines. In situ hybridization (ISH) of the miR-183/182/96 cluster on 131 tissue microarrays (TMAs) was used to statistically analyze its prognostic role. The miR-183/182/96 cluster levels were significantly higher in breast cancer tissues than in control tissues. The miR-183/182/96 cluster was also upregulated in human breast cancer cell lines. An increased miR-183/182/96 cluster level was correlated with local relapse, distant metastasis and poor clinical outcomes. Our findings improve our understanding of the expression level of the miR-183/182/96 cluster in breast cancer and clarify the role of the miR-183/182/96 cluster as a novel prognostic biomarker for breast cancer.

Indexed as

Multigene FamilyBiomarkers, TumorDisease ProgressionFemaleHumansMicroRNAsPrognosisReal-Time Polymerase Chain ReactionBiomarkers, TumorMicroRNAsMirn182 microRNA, humanMIRN183 microRNA, humanMIRN96 microRNA, human

Identifiers

PMID27071841
PMCPMC4829912

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.