Evidence map›Paper›PMID 32117716›Full record

ArticleFrontiers in oncology2020

Clinical Significance of Circulating miR-1273g-3p and miR-122-5p in Pancreatic Cancer.

Tommaso Mazza, Domenica Gioffreda, Andrea Fontana, Tommaso Biagini, Massimo Carella, Orazio Palumbo, Evaristo Maiello, Francesca Bazzocchi, Angelo Andriulli, Francesca Tavano

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Loss of miR-122 promotes cell migration and poor prognosis in triple-negative breast cancer treated by neoadjuvant chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Unraveling the therapeutic landscape of miRNAs in pancreatic cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  4. Article
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  14. Review
  15. Liquid biopsy approach to pancreatic cancer.World journal of gastrointestinal oncology · 2021
    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

10 authors at 2 institutions in 1 country.

Tommaso MazzaLaboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Domenica GioffredaDivision of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.
Andrea FontanaUnit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Tommaso BiaginiLaboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Massimo CarellaDivision of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Orazio PalumboDivision of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Evaristo MaielloDepartment of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Francesca BazzocchiDepartment of Surgery, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.
Angelo AndriulliDivision of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.
Francesca TavanoDivision of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.
Casa Sollievo della Sofferenza · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of pancreatic cancer (PanC) requires innovation in the current diagnostic approach. This study aimed to uncover new circulating microRNAs (miRNAs) that would distinguish patients with PanC from healthy subjects (HS) compared with the cancer antigen 19-9 (CA 19-9), and predict patients' clinical phenotypes and outcomes. MiRNA expression profiles in plasma were investigated by using a two-stage process. In a discovery phase, miRNAs levels were analyzed using the GeneChip™ miRNA 4.0 Affymetrix assay in 10 pools of plasma samples from PanC patients and HS; in a validation phase, significantly altered miRNAs were re-tested in independent cohorts of cancer patients and controls by droplet digital PCR (ddPCR). The diagnostic performance of the resulting miRNAs was compared to CA 19-9 determinations, and the associations of miRNAs plasma levels with patients' clinical phenotypes and outcomes were also taken into account. Bioinformatics selection of miRNAs differentially expressed in plasma uncovered miR-18a-5p, miR-122-5p, miR-1273g-3p, and miR-6126 as candidate oncogenic miRNAs in PanC. The ddPCR technology confirmed the significant over-expression of miR-122-5p, miR-1273g-3p, and miR-6126 in PanC compared to HS, in line with the trend of the CA 19-9 levels. Plasma levels of miR-1273g-3p, in combination with CA 19-9, showed higher power in distinguishing PanC patients from HS compared to the CA 19-9 tested alone, with a gain in both sensitivity and negative predictive value indicating a low false-negative rate (SE = 90.2% and NPV = 92.3% vs. SE = 82.1% and NPV = 87.9%). None of the oncogenic miRNAs were able to distinguish between a neoplastic and a proliferative/inflammatory disease of the pancreas, and were not able to stratify subjects according to the clinical risk for the disease. The only valuable association in PanC patients was found between miR-1273g-3p and tumor stage, and increased miR-122-5p levels emerged as independent negative prognostic factor for PanC patients (HR = 1.58, 95% CI = 1.03-2.43,

Indexed as

circulating microRNAdiagnostic performanceexpression profilepancreatic cancerprognosis

Identifiers

PMID32117716
PMCPMC7010806
OpenAlexW3003686046

What OpenQuestion holds

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LicenceCC BY
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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.