Evidence map›Paper›PMID 28484086›Full record

ArticleOncotarget2017

Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer.

Lingshuang Lü, Jian Sun, Peiyi Shi, Weimin Kong, Kun Xu, Biyu He, Simin Zhang, Jianming Wang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 7 pooled it
12.3field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 7 syntheses or guidelines pooled it, 181 citations in OpenAlex.

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44 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Lingshuang LüDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Jian SunDepartment of Thoracic Surgery, The First People's Hospital of Yancheng City, Yancheng, 224001, China.
Peiyi ShiDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Weimin KongDepartment of Thoracic Surgery, The First People's Hospital of Yancheng City, Yancheng, 224001, China.
Kun XuDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Biyu HeDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Simin ZhangDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Jianming WangDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Nanjing Medical University · CNNantong University · CNYancheng First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endogenous noncoding circular RNAs (circRNAs) have gained attention for their involvement in carcinogenesis, but their expression pattern in breast cancer has remained largely unknown. In this two-stage study, we first used an Arraystar Human circRNA Array to construct a genome-wide circRNA profile. We then selected candidate circRNAs for validation using a quantitative real-time polymerase chain reaction system. CircRNA/miRNA interactions were predicted and sequence analyses were performed. Among 1155 differentially expressed circRNAs, 715 were upregulated and 440 were downregulated in breast cancer tissues. The validation study demonstrated that hsa_circ_103110, hsa_circ_104689 and hsa_circ_104821 levels were elevated in breast cancer tissues, whereas hsa_circ_006054, hsa_circ_100219 and hsa_circ_406697 were downregulated. These circRNAs targeted complementary miRNA response elements. The area under the receiver operating characteristic curve for distinguishing breast cancer was 0.82 (95% CI: 0.73-0.90) when hsa_circ_006054, hsa_circ_100219 and hsa_circ_406697 were used in combination. This study provides evidence that circRNAs are differentially expressed in breast cancer and are important in carcinogenesis because they participate in cancer-related pathways and sequester miRNAs.

Indexed as

Biomarkers, TumorRNAAdolescentAdultAgedBreast NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansLymphatic MetastasisMicroRNAsMiddle AgedNeoplasm StagingBiomarkers, TumorMicroRNAsRNARNA, CircularRNA, Untranslatedbiomarkerbreast cancercircRNAnoncoding RNARNA

Identifiers

PMID28484086
PMCPMC5546465
OpenAlexW2606372789

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.