Evidence map›Paper›PMID 31568692›Full record

ArticleCancer medicine2019

A five-miRNA panel in plasma was identified for breast cancer diagnosis.

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

Abstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 6 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

69 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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9 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.

Minghui LiDepartment of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Xuan ZouFudan University Shanghai Cancer Center, Shanghai, PR China.
Tiansong XiaDepartment of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Ping LiuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Xin ZhouDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Shui WangDepartment of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.ORCID 0000-0001-8878-9162
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.ORCID 0000-0002-5744-5962

Funding

National Natural Science Foundation of China 81672400National Natural Science Foundation of China 81672788National Natural Science Foundation of China 81702364
6 · The paper itself

Abstract

Breast cancer (BC) is one of the most common cancers in females. Since early detection can bring prognosis benefit, discovery of novel noninvasive biomarkers for BC diagnosis is in urgent need. In this four-phase study, we profiled miRNA expression in plasma samples from a total of 257 BC patients and 257 normal controls (NCs). Exiqon miRNA qPCR panel was used to select candidate miRNAs in the screening phase which were further analyzed using qRT-PCR in the following training, testing and external validation phases. Finally, we identified five plasma miRNAs (let-7b-5p, miR-122-5p, miR-146b-5p, miR-210-3p and miR-215-5p) whose expression levels were significantly different between BC patients and NCs. A 5-miRNA panel in plasma with high sensitivity and specificity was then constructed to detect BC. The areas under the receiver-operating characteristic curves (AUCs) of the panel were 0.683, 0.966, 0.978 for the training, testing and external validation sets, respectively. Expression of the identified miRNAs was further analyzed among 32 pairs of BC tissue and the adjacent normal tissue samples as well as plasma-derived exosome samples from 32 BC patients vs 32 NCs. Let-7b-5p was contrarily down-regulated in BC tissue. In exosomes samples, only miR-122-5p was significantly up-regulated as in plasma for BC patients. In conclusion, we identified a 5-miRNA plasma panel (let-7b-5p, miR-122-5p, miR-146b-5p, miR-210-3p and miR-215-5p) that could serve as a promising biomarker for BC detection.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating MicroRNAExosomesFemaleHumansMiddle AgedBiomarkers, TumorCirculating MicroRNAbiomarkerbreast cancerdiagnosisplasma miRNAqRT-PCR

Identifiers

PMID31568692
PMCPMC6853814

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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.