Evidence map›Paper›PMID 29029450›Full record

ArticleOncotarget2017

New insights in the clinical and translational relevance of miR483-5p in adrenocortical cancer.

Francesca Salvianti, Letizia Canu, Giada Poli, Roberta Armignacco, Cristian Scatena, Giulia Cantini, Alessandra Di Franco, Stefania Gelmini, Tonino Ercolino, Mario Pazzagli and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
4.2field-weighted citation impact, top 6% 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, 32 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Francesca SalviantiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Letizia CanuDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Giada PoliDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Roberta ArmignaccoDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Cristian ScatenaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Giulia CantiniDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Alessandra Di FrancoDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Stefania GelminiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Tonino ErcolinoDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Mario PazzagliDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Gabriella NesiDepartment of Surgery and Translational Medicine, University of Florence, Florence, Italy.
Massimo MannelliDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Pamela PinzaniDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Michaela LuconiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
University of Florence · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adrenocortical cancer (ACC) is a rare aggressive malignancy. Recent ACC integrated genomics analysis contributed to redefine the risk groups on molecular basis, including tumor microRNAs (miRs), detectable also in the bloodstream. We developed a quantitative real-time (RT) assay for the measurement of miR483 and miR483-5p absolute levels in plasma samples. miR483/miR483-5p levels were evaluated in plasma samples of 27 patients with ACC before surgery and at follow-up. Statistically significant differences in miR483-5p and miR483 levels were found between stage 1/2 and stage 3/4 ACCs in pre-surgery and post-surgery samples. ROC curve analysis of miR483-5p levels gave a prediction of the clinical stage (accuracy 0.917±0.084), with the best cut-off value of 0.221 ng/ml, prognosticating overall and recurrence-free survival. In a multivariate Cox analysis (HR 16.2, 95%CI[1.39-188.6, P<0.026]), miR483-5p was the only variable that significantly predicted recurrence, but not overall survival. In addition, miR483 and miR483-5p levels correlated with the number of circulating tumor cells (CTCs) detected in the same blood samples, independently of the timing of sampling. In conclusion, we demonstrated that miR483-5p absolute plasma levels in ACC patients are powerful molecular markers that may help in the follow-up of patients after surgery and chemotherapy, and contribute to more accurately classify and predict tumor progression.

Indexed as

adrenal carcinomaliquid biopsymiRNAquantitative real time RT-PCRrare tumor

Identifiers

PMID29029450
PMCPMC5630350
OpenAlexW2735390243

What OpenQuestion holds

Textmetadata
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.