Evidence map›Paper›PMID 24336071›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2014

Analysis of circulating microRNAs in adrenocortical tumors.

Diana Rita Szabó, Michaela Luconi, Peter M Szabó, Miklós Tóth, Nikolette Szücs, János Horányi, Zoltán Nagy, Massimo Mannelli, Attila Patócs, Károly Rácz and 1 more

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Article in Laboratory investigation; a journal of technical methods and pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.7field-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

55 citing papers in PubMed, 96 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

11 authors at 3 institutions in 2 countries.

Diana Rita Szabó2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Michaela LuconiEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Peter M SzabóMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Miklós Tóth2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Nikolette Szücs2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
János Horányi1st Department of Surgery, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Zoltán Nagy2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Massimo MannelliEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Attila Patócs1] Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary [2] 'Lendület-2013' Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Károly Rácz2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Peter Igaz2nd Department of Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUHungarian Academy of Sciences · HUUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential diagnosis of adrenocortical adenoma (ACA) and carcinoma is of pivotal clinical relevance, as the prognosis and clinical management of benign and malignant adrenocortical tumors (ACTs) is entirely different. Circulating microRNAs (miRNAs) are promising biomarker candidates of malignancy in several tumors; however, there are still numerous technical problems associated with their analysis. The objective of our study was to investigate circulating miRNAs in ACTs and to evaluate their potential applicability as biomarkers of malignancy. We have also addressed technical questions including the choice of profiling and reference gene used. A total of 25 preoperative plasma samples obtained from patients with ACAs and carcinomas were studied by microarray and quantitative real-time PCR. None of the three miRNAs (hsa-miR-192, hsa-mir-197 and hsa-miR-1281) found as differentially expressed in plasma samples in our microarray screening could be validated by quantitative real-time PCR. In contrast, of the selected eight miRNAs reported in the literature as differentially expressed in ACT tissues, five (hsa-miR-100, hsa-miR-181b, hsa-miR-184, hsa-miR-210 and hsa-miR-483-5p) showed a statistically significant overexpression in adrenocortical cancer vs adenoma when normalized on hsa-miR-16 as a reference gene. Receiver operator characteristic analysis of data revealed that the combination of dCThsa-miR-210 - dCThsa-miR-181b and dCThsa-miR-100/dCThsa-miR-181b showed the highest diagnostic accuracy (area under curve 0.87 and 0.85, respectively). In conclusion, we have found significant differences in expression of circulating miRNAs between ACAs and carcinomas, but their diagnostic accuracy is not yet high enough for clinical application. Further studies on larger cohorts of patients are needed to assess the diagnostic and prognostic potential application of circulating miRNA markers.

Indexed as

AdolescentAdrenal Cortex NeoplasmsAdrenocortical AdenomaAdrenocortical CarcinomaAdultAgedBiomarkers, TumorDiagnosis, DifferentialFemaleHumansMaleMicroRNAsMiddle AgedRNA, NeoplasmBiomarkers, TumorMicroRNAsMIRN100 microRNA, humanMIrn181 microRNA, humanMIRN184 microRNA, humanMIRN210 microRNA, humanMIRN483 microRNA, humanRNA, Neoplasm

Identifiers

PMID24336071
OpenAlexW1964753012

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.