Evidence map›Paper›PMID 31565884›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2019

Transcriptome Analysis Identifies an Attenuated Local Immune Response in Invasive Nonfunctioning Pituitary Adenomas.

Yong Hwy Kim, Jung Hee Kim

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Endocrinology and metabolism (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Yong Hwy KimDepartment of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-9009-4191
Jung Hee KimPituitary Center, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-1932-0234
Seoul National University · KRSeoul National University Hospital · KR

Funding

Korea Health Industry Development Institute HI16C-1111-020016NRF NRF-2017R1D1A1B03031879
6 · The paper itself

Abstract

backgroundInvasive nonfunctioning pituitary adenomas (NFPAs) remain challenging due to their high complication rate and poor prognosis. We aimed to identify the distinctive molecular signatures of invasive NFPAs, compared with noninvasive NFPAs, using gene expression profiling by RNA sequencing.

methodsWe obtained frozen fresh tissue samples from 14 patients with NFPAs who underwent primary transsphenoidal surgery. Three non-invasive and 11 invasive NFPAs were used for RNA sequencing. The bioinformatics analysis included differential gene expression, gene ontology analysis, and pathway analysis.

resultsA total of 700 genes were differentially expressed (59 up-regulated and 641 down-regulated genes) between invasive and non-invasive NFPAs (false discovery rate <0.1, and |fold change| ≥2). Using the down-regulated genes in invasive NFPAs, gene ontology enrichment analyses and pathway analyses demonstrated that the local immune response was attenuated and that transforming growth factor-β (TGF-β) RII-initiated TGF-β signaling was down-regulated in invasive NFPAs. The overexpression of claudin-9 (

conclusionInvasive NFPAs harbor different gene expression profiles relative to noninvasive NFPAs. In particular, local suppression of the immune response and TGF-β signaling can make PAs prone to invasiveness.

Indexed as

AdenomaAdultDown-RegulationFemaleGene Expression ProfilingHumansMaleMiddle AgedNeoplasm InvasivenessPituitary NeoplasmsTranscriptomeGene expression profilingImmune responsePituitary neoplasmsSequence analysis, RNAc

Identifiers

PMID31565884
PMCPMC6769343
OpenAlexW2976602440

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.