Evidence map›Paper›PMID 32581645›Full record

ReviewCurrent genomics2019

Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer.

Natalia A Gablo, Vladimir Prochazka, Zdenek Kala, Ondrej Slaby, Igor Kiss

Abstract readReview
In one paragraph

Review in Current genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Strategy for early diagnosis of pancreatic cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026
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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

5 authors.

Natalia A Gablo1Central European Institute of Technology, Masaryk University, Brno, Czech Republic; 2Department of Surgery, Institutions shared with the Faculty Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic; 3Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Vladimir Prochazka1Central European Institute of Technology, Masaryk University, Brno, Czech Republic; 2Department of Surgery, Institutions shared with the Faculty Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic; 3Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Zdenek Kala1Central European Institute of Technology, Masaryk University, Brno, Czech Republic; 2Department of Surgery, Institutions shared with the Faculty Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic; 3Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Ondrej Slaby1Central European Institute of Technology, Masaryk University, Brno, Czech Republic; 2Department of Surgery, Institutions shared with the Faculty Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic; 3Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Igor Kiss1Central European Institute of Technology, Masaryk University, Brno, Czech Republic; 2Department of Surgery, Institutions shared with the Faculty Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic; 3Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PaC) is one of the most lethal cancers, with an increasing global incidence rate. Unfavorable prognosis largely results from associated difficulties in early diagnosis and the absence of prognostic and predictive biomarkers that would enable an individualized therapeutic approach. In fact, PaC prognosis has not improved for years, even though much efforts and resources have been devoted to PaC research, and the multimodal management of PaC patients has been used in clinical practice. It is thus imperative to develop optimal biomarkers, which would increase diagnostic precision and improve the post-diagnostic management of PaC patients. Current trends in biomarker research envisage the unique opportunity of cell-free microRNAs (miRNAs) present in circulation to become a convenient, non-invasive tool for accurate diagnosis, prognosis and prediction of response to treatment. This review analyzes studies focused on cell-free miRNAs in PaC. The studies provide solid evidence that miRNAs are detectable in serum, blood plasma, saliva, urine, and stool, and that they present easy-to-acquire biomarkers with strong diagnostic, prognostic and predictive potential.

Indexed as

Cell-free microRNAdiagnosisnon-invasive biomarkerpancreatic cancerpredictionprognosis

Identifiers

PMID32581645
PMCPMC7290054

What OpenQuestion holds

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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.