Evidence map›Paper›PMID 41801802›Full record

ArticleJournal of proteome research2026

Glucocorticoid-Induced Proteome and Phosphoproteome Changes in Breast Cancer Cell Lines.

Hayoung Cho, Jesper V Olsen

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. 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
–field-weighted citation impact
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.

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

2 authors.

Hayoung ChoProteomics Program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark.
Jesper V OlsenProteomics Program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark.ORCID 0000-0002-4747-4938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucocorticoids (GCs) are steroid hormones that bind to the glucocorticoid receptor (GR) as ligands to initiate systemic anti-inflammatory effects. GCs are commonly administered alongside chemotherapy to reduce treatment-related side effects in breast cancer patients. However, GC administration has been shown to promote metastasis in breast cancer. In this study, we used quantitative mass-spectrometry-based approaches to analyze proteome and phosphoproteome of three breast cancer cell lines following treatment of a clinically approved synthetic GC, dexamethasone (Dex). By comparing MCF7, MDA-MB-231, and MDA-MB-436 cells, we suggest that the level of GR significantly affects Dex-mediated responses. Additionally, we identify noncanonical transcription factors (TFs) and kinases that are regulated by GR in different cell lines. Together, our data present Dex-induced protein modulations and modifications involving several TFs and kinases that regulate cytoskeletal remodeling and migration in breast cancer cell lines. These findings highlight the need for careful consideration of GC use in breast cancer therapy and identify potential molecular targets for mitigating adverse effects.

Indexed as

Breast NeoplasmsDexamethasoneGlucocorticoidsPhosphoproteinsProteomeCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsMDA-MB-231 CellsReceptors, GlucocorticoidTranscription FactorsDexamethasoneGlucocorticoidsPhosphoproteinsProteomeReceptors, GlucocorticoidTranscription Factorsbreast cancercancer cell linesglucocorticoidslabel-freeLC-MS/MSmetastasisnDIAphosphoproteomeproteome

Identifiers

PMID41801802
PMCPMC13054861

What Socratic 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 Socratic graph.