Evidence map›Paper›PMID 31006985›Full record

ArticleCancer medicine2019

Identification of a six-miRNA panel in serum benefiting pancreatic cancer diagnosis.

Xuan Zou, Jishu Wei, Zebo Huang, Xin Zhou, Zipeng Lu, Wei Zhu, Yi Miao

Abstract read
PubMed Full text at PMC Publisher
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 75 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 7 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

75 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Article
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  13. Diagnostic and prognostic significance of circulating extracellular vesicles in gastrointestinal cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  14. Article
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  19. Small extracellular vesicles (sEVs) in pancreatic cancer progression and diagnosis.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Review
  20. Article

15 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

7 authors.

Xuan ZouFirst Clinical College of Nanjing Medical University, Nanjing, PR China.
Jishu WeiPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Zebo HuangDepartment of Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, PR China.
Xin ZhouDepartment of Oncology, The Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Zipeng LuPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Wei ZhuDepartment of Oncology, The Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.ORCID 0000-0002-5744-5962
Yi MiaoPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) has posed a great health threat to a growing number of people all over the world. Detection of serum miRNAs, being sensitive, noninvasive, and easy to obtain, has a great potential of being a novel screening method for PC patients. In this study, we investigated miRNA expression levels in serum by qRT-PCR. The study was divided into four phases: the screening, training, testing, and external validation stage. We firstly chose candidate miRNAs using Exiqon panels in the screening phase. Then, a total of 129 PC serum samples and 107 normal controls (NCs) were further analyzed in the following training and testing phases to identify differently expressed miRNAs. A cohort of 30 PC serum samples vs 30 NCs was used to confirm the diagnostic value of the identified miRNAs in the external validation phase. Moreover, miRNA expressions in additional 44 PC tumor tissue samples and the matched adjacent normal tissue samples as well as 32 pairs of serum-derived exosomes samples were also further explored. As a result, we identified six significantly upregulated miRNAs in the serum of PC: let-7b-5p, miR-192-5p, miR-19a-3p, miR-19b-3p, miR-223-3p, and miR-25-3p. A six-miRNA panel in serum was then established. The area under the receiver operating characteristic curves (AUC) for the panel was 0.910 for the combined training and testing phases, which showed higher diagnostic value than the individual miRNA. Prognostic value prediction using Cox's proportional hazards model and Kaplan-Meier curves showed that increased serum miR-19a-3p was closely related to worse overall survival (OS). In addition, significant upregulation of miR-192-5p, miR-19a-3p, and miR-19b-3p was observed in both PC tissue and serum-derived exosomes samples. In conclusion, we identified a six-miRNA (let-7b-5p, miR-192-5p, miR-19a-3p, miR-19b-3p, miR-223-3p, and miR-25-3p) panel in the serum for PC early and noninvasive diagnosis.

Indexed as

Biomarkers, TumorCirculating MicroRNAComputational BiologyExosomesFemaleGene Expression ProfilingHumansMaleMicroRNAsPancreatic NeoplasmsPrognosisROC CurveBiomarkers, TumorCirculating MicroRNAMicroRNAsbiomarkerpancreatic cancerqRT-PCRserum miRNA

Identifiers

PMID31006985
PMCPMC6558458

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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.