Nataša Todorovi?-Rakovi?
The prognostic significance of serum interferon-gamma (IFN-γ) in hormonally dependent breast cancer
Todorovi?-Rakovi?, Nataša; Milovanovi?, Jelena; Greenman, John; Radulovic, Marko
Authors
Jelena Milovanovi?
Professor John Greenman J.Greenman@hull.ac.uk
Professor of Tumour Immunology
Marko Radulovic
Abstract
Background: Interferon-γ (IFN-γ) is a pleiotropic immunomodulatory cytokine. Because of its contradictory and even dualistic roles in malignancies, its potential as a biomarker remains to be unraveled. Aim: To evaluate the prognostic significance of serum IFN-γ in hormonally treated breast cancer patients. Material and methods: The study included 72 premenopausal breast cancer patients with known clinicopathological characteristics. All patients received adjuvant hormonal therapy based on hormone receptor-positivity. The median follow-up period was 93 months. IFN-γ serum protein levels were determined by quantitative ELISA. Prognostic performance was evaluated by the receiver operating characteristic (ROC), Cox proportional hazards regression and Kaplan-Meier analyses. Classification of patients into IFN-γlow and IFN-γhigh subgroups was performed by the use of the outcome-oriented cut-off point categorization approach. Results: The best prognostic performance was achieved by IFN-γ (AUC = 0.24 and p = 0.01 for distant events, AUC = 0.29 and p = 0.01 for local and distant events combined). Age and IFN-γ were prognostically significant in instances of all types of outcomes and IFN-γ was the independent prognostic parameter (Cox regression). There was a significant difference between IFN-γ values of patients without any events and those with distant metastases (Mann-Whitney test, p = 0.007). IFN-γ levels correlated significantly with nodal status and tumor stage (Spearman's rank order, r = −0.283 and r = −0.238, respectively). Distant recurrence incidence was 4% for the IFN-γhigh subgroup and 33% for the IFN-γlow subgroup (Kaplan–Meier analysis). Conclusions: Raised serum IFN-γ levels associate independently with favorable disease outcome in hormonally dependent breast cancer.
Citation
Todorović-Raković, N., Milovanović, J., Greenman, J., & Radulovic, M. (2022). The prognostic significance of serum interferon-gamma (IFN-γ) in hormonally dependent breast cancer. Cytokine, 152, Article 155836. https://doi.org/10.1016/j.cyto.2022.155836
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 17, 2022 |
Online Publication Date | Feb 23, 2022 |
Publication Date | 2022-04 |
Deposit Date | Mar 4, 2022 |
Publicly Available Date | Feb 24, 2023 |
Journal | Cytokine |
Print ISSN | 1043-4666 |
Electronic ISSN | 1096-0023 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 152 |
Article Number | 155836 |
DOI | https://doi.org/10.1016/j.cyto.2022.155836 |
Keywords | Interferon gamma; Breast cancer; Hormonal therapy; Tamoxifen; Prognosis |
Public URL | https://hull-repository.worktribe.com/output/3940292 |
Files
Accepted manuscript
(645 Kb)
PDF
Copyright Statement
© 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Abstract A020: Calcitonin receptor-like receptor is expressed in blood vessels in clear cell renal cell carcinoma and upregulated in endothelial cells co-cultured with tumor cells
(2023)
Presentation / Conference Contribution
Abstract B001: Calcitonin receptor-like receptor agonists induce p44/42 MAPK phosphorylation in VEGF-A-stimulated human blood endothelial cells after bevacizumab treatment
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search