Evidence map›Paper›PMID 33354213›Full record

ArticleInternational journal of endocrinology2020

The Search of miRNA Related to Invasive Growth of Nonfunctioning Gonadotropic Pituitary Tumors.

Joanna Boresowicz, Paulina Kober, Natalia Rusetska, Maria Maksymowicz, Agnieszka Paziewska, Michalina Dąbrowska, Natalia Zeber-Lubecka, Jacek Kunicki, Wiesław Bonicki, Jerzy Ostrowski and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

12 authors at 2 institutions in 1 country.

Joanna BoresowiczDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-6299-4931
Paulina KoberDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-7735-8137
Natalia RusetskaDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0001-7496-2489
Maria MaksymowiczDepartment of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-6806-6079
Agnieszka PaziewskaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-6644-1509
Michalina DąbrowskaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-7585-4946
Natalia Zeber-LubeckaDepartment of Gastroenterology, Hepatology and Clinical Oncology, Medical Center for Postgraduate Education, Warsaw, Poland.ORCID https://orcid.org/0000-0003-4036-3191
Jacek KunickiDepartment of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-2304-7974
Wiesław BonickiDepartment of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0001-8784-1416
Jerzy OstrowskiDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0003-1363-3766
Janusz A SiedleckiDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0003-4889-5416
Mateusz BujkoDepartment of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0001-5826-8446
The Maria Sklodowska-Curie National Research Institute of Oncology · PLPostgraduate School of Molecular Medicine · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNonfunctioning gonadotropic pituitary neuroendocrine tumors (PitNETs) are among the most frequent neoplasms of pituitary gland. Although PitNETs are commonly considered benign, a notable part of patients suffer from tumor recurrence after treatment. Invasive growth of pituitary tumor is among the most important prognostic factors. Since molecular features of invasiveness are of potential clinical usefulness, this study was aimed to verify whether invasive and noninvasive nonfunctioning gonadotropic PitNETs differ in the miRNA expression profile and whether the differences could provide a possible molecular classifier.

methodsmiRNA profiles were determined in 20 patients (11 invasive and 9 noninvasive tumors) using next-generation sequencing. The expression of selected miRNAs was assessed in the independent cohort of 80 patients with qRT-PCR.

resultsWhen miRNA profiles of invasive and noninvasive tumors were compared, 29 miRNAs were found differentially expressed. Hsa-miR-184, hsa-miR-181a-2-3p, hsa-miR-93-3p, hsa-miR-574-5p, hsa-miR-185-5p, and hsa-miR-3200-5p showed a potential clinical value according to ROC curve analysis. Unfortunately, differential expression of only hsa-miR-185-5p was confirmed in the validation cohort, with AUG at 0.654.

conclusionDifferences in miRNAs expression profiles in invasive and noninvasive gonadotropic PitNETs are slight and the level of miRNA expression seems not to be applicable as useful classifier of tumor invasiveness.

Identifiers

PMID33354213
PMCPMC7737439
OpenAlexW3112410249

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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.