Evidence map›Paper›PMID 32236778›Full record

ArticleJournal of neuro-oncology2020

In silico analysis of the immunological landscape of pituitary adenomas.

Jacky T Yeung, Matthew D Vesely, Danielle F Miyagishima

Open access · greenAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Tumour microenvironment and pituitary tumour behaviour.Journal of endocrinological investigation · 2023
    Review
  12. Recent Therapeutic Advances in Pituitary Carcinoma.Journal of immunotherapy and precision oncology · 2023
    Review
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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

3 authors at 1 institution in 1 country.

Jacky T YeungDepartment of Neurological Surgery, Yale University School of Medicine, P.O. Box 208082, New Haven, CT, 06520-8082, USA. jacky.yeung@yale.edu.
Matthew D VeselyDepartment of Dermatology, Yale University School of Medicine, New Haven, CT, USA.
Danielle F MiyagishimaDepartment of Neurological Surgery, Yale University School of Medicine, P.O. Box 208082, New Haven, CT, 06520-8082, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIGMS NIH HHS T32 GM007205
6 · The paper itself

Abstract

purposeImmunotherapy has gained traction in the treatment of solid tumors but the immunological landscape of pituitary adenomas is not well defined. We sought to investigate the immunological composition in pituitary adenomas using RNA deconvolution (CIBERSORTx) on an existing gene expression dataset for pituitary adenomas.

methodsWe applied an established computational approach (CIBERSORTx) on 134 pituitary adenomas from a previously published gene expression dataset to infer the proportions of 22 subsets of immune cells. We investigated associations between each immune cell type and tumor subtype.

resultsWe found that the majority of infiltrating immune cells within pituitary adenomas were comprised of M2 macrophages followed by resting CD4

conclusionsRNA deconvolution of the immune infiltrates of pituitary adenomas using CIBERSORTx suggests that most pituitary adenomas comprise of M2 macrophages, but each adenoma subtype has a unique immune landscape. This may have implications in targeting each adenoma subtype with different immunotherapies.

Indexed as

AdenomaAdultComputational BiologyComputer SimulationFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPituitary NeoplasmsImmunologyImmunotherapyMicroenvironmentPituitary adenomas

Identifiers

PMID32236778
PMCPMC7261241
OpenAlexW3014998903

What OpenQuestion holds

Textmetadata
LicenceTDM
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.