Evidence map›Paper›PMID 33313161›Full record

ArticleAnnals of translational medicine2020

Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment.

Yu Shen, Ying C Wu, Lixiong Gu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Yu ShenDepartment of Dermatology, Third Affiliated Hospital of Nantong University, Nantong Third People's Hospital, Nantong, China.
Ying C WuSchool of Medicine, Nantong University, Nantong, China.
Lixiong GuDepartment of Dermatology, The Affiliated Hospital of Nantong University, Nantong, China.
Nantong University · CNWuxi Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucocorticoids, such as dexamethasone, are widely used for prevent vomiting and allergic reactions associated with cancer immunotherapy and chemotherapy. Although such use is reported to reduce the immunotherapy's efficacy, nevertheless, how dexamethasone associates with specific immune cells, particularly inside the tumor microenvironment, still remains unclear.

methodsWe integrate multi-omics data, including transcriptome, mutation, copy number variation (CNV), and methylation, to explore the dexamethasone responsive genes.

resultsWe surprisingly found that dexamethasone responsive genes are transcriptionally down-regulated in general, where heterozygous deletion underlie such dysregulation. We further perform the pathway analysis and demonstrate that such dysregulation associates with cancer hallmarks such as epithelial-to-mesenchymal transformation (EMT) activation. Next, by performing the drug sensitivity analysis, we generate a list of drugs whose efficacy potentially associates with dexamethasone response, including Methotrexate and Navitoclax. Unexpectedly, in the cancer microenvironment, dexamethasone response score positively correlates with a subset of innate immune cells. This indicates that dexamethasone potentially correlated with anti-cancer immunity in the cancer microenvironment which may be on the contrary to its systemic effect.

conclusionsOur systems-level analysis define the landscape of dexamethasone responsive genes in cancers and may serve as a useful resource for understanding the roles of dexamethasone in cancer.

Indexed as

dexamethasoneimmunotherapymicroenvironmentMulti-omicspan-cancer

Identifiers

PMID33313161
PMCPMC7723561
OpenAlexW3098400745

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.