Evidence map›Paper›PMID 30048472›Full record

ArticlePloS one2018

Identification of serum miR-1915-3p and miR-455-3p as biomarkers for breast cancer.

Jian Guo, Chen Liu, Wei Wang, Yan Liu, Huiwen He, Chong Chen, Rong Xiang, Yunping Luo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Article
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  12. Expression and Prognostic Value ofIranian journal of public health · 2022
    Article
  13. Article
  14. The Role of MiRNA in Cancer: Pathogenesis, Diagnosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  15. Review
  16. Article
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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

8 authors at 3 institutions in 1 country.

Jian GuoDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Chen LiuDepartment of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei WangDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Yan LiuDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Huiwen HeDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Chong ChenDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Rong XiangCollaborative Innovation Center for Biotherapy, Medical College of Nankai University, Tianjin, China.
Yunping LuoDepartment of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.ORCID 0000-0001-6905-0768
Chinese Academy of Medical Sciences & Peking Union Medical College · CNNankai University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most malignant diseases in women worldwide. Serum microRNAs (miRNAs), with the characteristics of high sensitivity and specificity, have recently attracted more attentions to serve as potential biomarkers for tumor diseases. In this study, 194 breast cancer patients' serum samples were collected before surgery and enrolled into different groups based on their diagnostic information. To search for breast cancer diagnostic biomarkers, serum miRNAs were screened by microarray in pooled samples of healthy volunteers and breast cancer patients in different clinical stages. The miRNAs were further verified in each individual patient's serum samples in diagnostic and predictive sets. The serum level of miR-1915-3p was upregulated and miR-455-3p was downregulated significantly in breast cancer patients compared with healthy volunteers. Furthermore, the patients with infiltrating carcinoma or lymph node metastasis had a higher serum level of miR-1915-3p and lower serum level of miR-455-3p than patients with the carcinoma in situ or patients without lymph node metastasis. ROC analysis suggested that miR-1915-3p and miR-455-3p had the potential as a promising serum diagnostic and predictive biomarkers of breast cancer. miR-1915-3p was over-expressed in certain human breast cancer cells. Functional experiments in vitro showed that miR-1915-3p enhanced cell proliferative and migrational abilities. Overexpression of miR-1915-3p repressed target gene DUSP3 and activated ERK1/2. Collectively, this study provided a new insight that miR-1915-3p might play a role in the development of breast cancer and that serum miR-1915-3p and miR-455-3p could serve as diagnostic and predictive biomarkers for breast cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast Carcinoma In SituBreast NeoplasmsCase-Control StudiesCell Line, TumorCell MovementCell ProliferationCirculating MicroRNADown-RegulationDual Specificity Phosphatase 3FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticBiomarkers, TumorCirculating MicroRNADual Specificity Phosphatase 3DUSP3 protein, humanMicroRNAsMIRN1915 microRNA, humanMIRN455 microRNA, human

Identifiers

PMID30048472
PMCPMC6062026
OpenAlexW2883815288

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.