Evidence map›Paper›PMID 25120655›Full record

ArticleOncology letters2014

miR-320a is an independent prognostic biomarker for invasive breast cancer.

Haiping Yang, Juan Yu, Lei Wang, DI Ding, Lei Zhang, Chengyu Chu, Qi Chen, Zude Xu, Qiang Zou, Xiuping Liu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

27 citing papers in PubMed, 44 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Haiping YangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Juan YuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Lei WangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
DI DingDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Lei ZhangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Chengyu ChuDepartment of Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Qi ChenDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Zude XuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Qiang ZouDepartment of Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Xiuping LiuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China ; Department of Pathology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, P.R. China.
Shanghai Medical College of Fudan University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common malignancies worldwide and is the second leading cause of cancer-related mortality among females. miRNAs are a class of small noncoding RNAs that are aberrantly expressed in human cancers. Due to their small size and stability, miRNAs have the potential to be efficacious clinical targets. MicroRNA-320a (miR-320a) has been shown to be dysregulated in multiple malignancies. In the present study, the expression levels of miR-320a were investigated in 15 paraffin-embedded

Indexed as

biomarkerbreast cancerchromogenic in situ hybridizationmiR-320aprognosis

Identifiers

PMID25120655
PMCPMC4114662
OpenAlexW2154813538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.