Evidence map›Paper›PMID 30945144›Full record

ArticleNeurochemical research2019

Differentially Expressed miRNAs Influence Metabolic Processes in Pituitary Oncocytoma.

Lilla Krokker, Gábor Nyírő, Lilla Reiniger, Ottó Darvasi, Nikolette Szücs, Sándor Czirják, Miklós Tóth, Péter Igaz, Attila Patócs, Henriett Butz

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In one paragraph

Article in Neurochemical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 14 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

10 authors at 2 institutions in 1 country.

Lilla KrokkerMomentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.
Gábor NyírőMTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Lilla Reiniger1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Ottó DarvasiMomentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.
Nikolette Szücs2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Sándor CzirjákNational Institute of Clinical Neurosciences, Budapest, Hungary.
Miklós Tóth2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Péter Igaz2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Attila PatócsMomentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.
Henriett ButzMomentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary. butz.henriett@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0003-1664-409X
Semmelweis University · HUOrszágos Idegsebészeti Tudományos Intézet · HU

Funding

Hungarian Academy of Sciences Bolyai Research FellowshipNew National Excellence Program of The Ministry of Human Capacities ÚNKP-18-4-SE-8Országos Tudományos Kutatási Alapprogramok OTKA PD116093Semmelweis Research-Innovation Fund STIA-KF-17
6 · The paper itself

Abstract

Spindle cell oncocytomas (SCO) of the pituitary are rare tumors accounting for 0.1-0.4% of all sellar tumors. Due to their rarity, little information is available regarding their pathogenesis. Our aim was to investigate miRNA expression profile of pituitary oncocytomas. Total RNA was extracted from 9 formalin-fixed paraffin embedded pituitary samples (4 primary, 3 recurrent oncocytomas and 2 normal tissues). Next-generation sequencing was performed for miRNA profiling. Transcriptome data of additional 6 samples' were obtained from NBCI GEO database for gene expression reanalysis and tissue-specific target prediction. Bioinformatical analysis, in vitro miRNA mimics transfection, luciferase reporter system and AlamarBlue assay were applied to characterize miRNA's function. 54 differentially expressed miRNAs and 485 genes in pituitary SCO vs. normal tissue and 8 miRNAs in recurrent vs. primary SCO were determined. Global miRNA downregulation and decreased level of DROSHA were detected in SCO samples vs. normal tissue. Transcriptome analysis revealed cell cycle alterations while miRNAs influenced mainly metabolic processes (tricarboxylic acid cycle-TCA, carbohydrate, lipid metabolism). Through miRNA-target interaction network the overexpressed Aconitase 2 potentially targeted by two downregulated miRNAs (miR-744-5p, miR-127-3p) was revealed. ACO2 and miR-744-5p interaction was validated by luciferase assay. MiR-127-3p and miR-744-5p significantly decreased cell proliferation in vitro. Our study firstly reported miRNA profile of pituitary oncocytoma. Our results suggest that tumor suppressor miRNAs may have an essential role in the pathogenesis of pituitary oncocytoma. Earlier reports showed downregulated TCA cycle in SCO which is extended by our results adding the role of miR-744-5p targeting ACO2.

Indexed as

Adenoma, OxyphilicAdultBiomarkers, TumorCell ProliferationDown-RegulationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedPituitary NeoplasmsTranscriptomeBiomarkers, TumorMicroRNAsBiomarkermiRNANext generation sequencingOncocytomaPituitary adenoma

Identifiers

PMID30945144
PMCPMC6776564
OpenAlexW2932768156

What OpenQuestion holds

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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.