Evidence map›Paper›PMID 32894240›Full record

ArticleCancer biomarkers : section A of Disease markers2021

MicroRNA profiling in serum: Potential signatures for breast cancer diagnosis.

Xuan Zou, Tiansong Xia, Minghui Li, Tongshan Wang, Ping Liu, Xin Zhou, Zebo Huang, Wei Zhu

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  15. Personalized treatment approach for HER2-positive metastatic breast cancer.Medical oncology (Northwood, London, England) · 2024
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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.

Xuan ZouFirst Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China.
Tiansong XiaDepartment of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Minghui LiDepartment of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Ping LiuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xin ZhouDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Zebo HuangDepartment of Oncology, Affiliated Hospital of Jiangnan University and the Fourth People's Hospital of Wuxi, Wuxi, Jiangsu, China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) prove to be potential non-invasive indicators of cancers. The purpose of this study is to profile serum miRNA expression in breast cancer (BC) patients to find potential biomarkers for BC diagnosis.

methodsThe miRNA expression patterns of serum samples from 216 BC patients and 214 normal control subjects were compared. A four-phase validation was conducted for biomarker identification. In the screening phase, the Exiqon miRNA qPCR panel was employed to select candidates, which were further analyzed by quantitative reverse transcriptase PCR in the following training, testing, and external validation phases.

resultsA 12-miRNA (let-7b-5p, miR-106a-5p, miR-19a-3p, miR-19b-3p, miR-20a-5p, miR-223-3p, miR-25-3p, miR-425-5p, miR-451a, miR-92a-3p, miR-93-5p, and miR-16-5p) panel in serum was constructed. The diagnostic performance of the panel was assessed using ROC curve analyses. The area under the curves (AUCs) were 0.952, 0.956, 0.941 and 0.950 for the four separate phases, respectively. Additionally, the expression features of the 12 miRNAs were further explored in 32 pairs of BC tumor and para-tumor tissues, and 32 pairs of serum exosomes samples from patients and healthy subjects. miR-16-5p, miR-106a-5p, miR-25-3p, miR-425-5p, and miR-93-5p were highly overexpressed and let-7b-5p was conversely downregulated in tumor tissues. Excluding miR-20a-5p and miR-223-3p, the 10 other miRNAs were all significantly upregulated in BC serum-derived exosomes.

conclusionA signature consisting of 12 serum miRNAs was identified and showed potential for use in non-invasive diagnosis of BC.

Indexed as

Breast NeoplasmsExosomesFemaleHumansMicroRNAsMiddle AgedMicroRNAsbiomarkerbreast cancerexosomesqRT-PCRSerum microRNA

Identifiers

PMID32894240
PMCPMC12499963
OpenAlexW3082365044

What OpenQuestion holds

Textmetadata
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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.