Evidence map›Paper›PMID 26259238›Full record

ReviewOncotarget2015

MicroRNA in pancreatic adenocarcinoma: predictive/prognostic biomarkers or therapeutic targets?

Oronzo Brunetti, Antonio Russo, Aldo Scarpa, Daniele Santini, Michele Reni, Alessandro Bittoni, Amalia Azzariti, Giuseppe Aprile, Sabina Delcuratolo, Michele Signorile and 5 more

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 72 citations in OpenAlex.

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  7. Evaluation of Serum microRNA Let-7c and Let-7d as Predictive Biomarkers for Metastatic Pancreatic Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
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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

15 authors at 7 institutions in 1 country.

Oronzo BrunettiMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Antonio RussoDepartment of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.
Aldo ScarpaDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
Daniele SantiniDepartment of Medical Oncology, University Campus Bio-Medico, Rome, Italy.
Michele ReniDepartment of Medical Oncology, San Raffaele Scientific Institute, Milan, Italy.
Alessandro BittoniAOU Ospedali Riuniti, Polytechnic University of the Marche Region, Ancona, Italy.
Amalia AzzaritiClinical and Preclinical Pharmacology Laboratory, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Giuseppe AprileDepartment of Medical Oncology, University Hospital of Udine, Udine, Italy.
Sabina DelcuratoloMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Michele SignorileMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Antonio GnoniDepartment of Medical Oncology, Hospital of Taranto, Taranto, Italy.
Loredana PalermoMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Vito LorussoMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Stefano CascinuAOU Ospedali Riuniti, Polytechnic University of the Marche Region, Ancona, Italy.
Nicola SilvestrisMedical Oncology Unit, National Cancer Research Centre, Istituto Tumori Giovanni Paolo II, Bari, Italy.
Istituto Tumori Bari · ITMarche Polytechnic University · ITSan Raffaele University of Rome · ITUniversità Campus Bio-Medico · ITUniversity of Palermo · ITUniversity of Udine · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a tumor with a poor prognosis, short overall survival and few chemotherapeutic choices. MicroRNAs (miRNAs) are non-coding, single-stranded RNAs of around 22 nucleotides involved in the pathogenic mechanisms of carcinogenesis and metastasis. They have been studied in many tumors in order to identify potential diagnostic, prognostic or therapeutic targets. In the current literature, many studies have analyzed the role of miRNAs in PDAC. In fact, the absence of appropriate biomarkers, the difficultly of early detection of this tumor, and the lack of effective chemotherapy in patients with unresectable disease have focused attention on miRNAs as new, interesting advance in this malignancy. In this review we analyzed the role of miRNAs in PDAC in order to understand the mechanisms of action and the difference between the onco-miRNA and the tumor suppressor miRNA. We also reviewed all the data related to the use of these molecules as predictive as well as prognostic biomarkers in the course of the disease. Finally, the possible therapeutic use of miRNAs or anti-miRNAs in PDAC is also discussed. In conclusion, although there is still no clinical application for these molecules in PDAC, it is our opinion that the preclinical evidence of the role of specific miRNAs in carcinogenesis, the possibility of using miRNAs as diagnostic or prognostic biomarkers, and their potential therapeutic role, warrant future studies in PDAC.

Indexed as

AdenocarcinomaAnimalsBiomarkers, TumorCarcinoma, Pancreatic DuctalFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, NudeMicroRNAsPancreatic NeoplasmsPhenotypePrognosisBiomarkers, TumorMicroRNAsbiomarkersmiRNAspancreatic adenocarcinomaprognosistherapy

Identifiers

PMID26259238
PMCPMC4695121
OpenAlexW2159449649

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.