Evidence map›Paper›PMID 29979686›Full record

ArticlePloS one2018

Is it time to consider the expression of specific-pituitary hormone genes when typifying pituitary tumours?

Araceli García-Martínez, Johana Sottile, Carmen Fajardo, Pedro Riesgo, Rosa Cámara, Juan Antonio Simal, Cristina Lamas, Hernán Sandoval, Ignacio Aranda, Antonio Picó

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. IncreasedDiagnostics (Basel, Switzerland) · 2020
    Article
  8. Article
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 5 institutions in 1 country.

Araceli García-MartínezResearch Laboratory, Hospital General Universitario de Alicante-Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.ORCID 0000-0002-1052-1315
Johana SottileResearch Laboratory, Hospital General Universitario de Alicante-Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.
Carmen FajardoEndocrinology Department, Hospital de La Ribera, Alzira, Valencia, Spain.
Pedro RiesgoNeurosurgery Department, Hospital de La Ribera, Alzira, Valencia, Spain.
Rosa CámaraEndocrinology Department, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Juan Antonio SimalNeurosurgery Department, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Cristina LamasEndocrinology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.ORCID 0000-0003-4622-9508
Hernán SandovalNeurosurgery Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Ignacio ArandaPathological Department, Hospital General Universitario de Alicante, Alicante, Spain.
Antonio PicóEndocrinology Department, Hospital General Universitario de Alicante-Institute for Health and Biomedical Research (ISABIAL), Miguel Hernández University, CIBERER, Alicante, Spain.ORCID 0000-0002-7549-7563
Hospital General Universitario de Alicante Doctor Balmis · ESComplejo Hospitalario Universitario de Albacete · ESHospital de La Ribera · ESHospital Universitari i Politècnic La Fe · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study is to check whether we can replicate, in an independent series, previous results showing that the molecular study of pituitary-specific gene expression complements the inmunohistochemical identification of pituitary neuroendocrine tumours. We selected 112 patients (51 (46.4%) women; mean age 51.4±16 years; 102 macroadenomas (91.9%), 9 microadenomas (8.1%)) with complete clinical, radiological, immunohistochemical and molecular data from our data set of pituitary neuroendocrine tumours. Patients were different from those previously studied. We measured the expression of the pituitary-specific hormone genes and type 1 corticotrophin-releasing hormone and arginine vasopressin 1b receptors, by quantitative real-time polymerase chain reaction using TaqMan probes. Afterwards, we identified the different pituitary neuroendocrine tumour subtypes following the 2017 World Health Organization classification of pituitary tumours, calculating the concordance between their molecular and immuhistochemical identification. The concordance between molecular and immunohistochemical identification of functioning pituitary neuroendocrine tumours with the clinical diagnosis was globally similar to the previous series, where the SYBR Green technique was used instead of TaqMan probes. Our results also corroborated the poor correlation between molecular and immunohistochemical detection of the silent pituitary neuroendocrine tumour variants. This discrepancy was more remarkable in lactotroph, null-cell and plurihormonal pituitary neuroendocrine tumours. In conclusion, this study validates the results previously published by our group, highlighting a complementary role for the molecular study of the pituitary-specific hormone genes in the typification of pituitary neuroendocrine tumours subtypes.

Indexed as

AdultAgedCRF Receptor, Type 1FemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeuroendocrine TumorsPituitary GlandPituitary HormonesPituitary NeoplasmsReceptors, Corticotropin-Releasing HormoneReceptors, VasopressinAVPR1b protein, humanCRF Receptor, Type 1Pituitary HormonesReceptors, Corticotropin-Releasing HormoneReceptors, Vasopressin

Identifiers

PMID29979686
PMCPMC6034784
OpenAlexW2859518313

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.