Prediction of neuroblastoma cell response to treatment with natural or synthetic retinoids using selected protein biomarkers

Warning

This publication doesn't include Institute of Computer Science. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

DOBROTKOVÁ Viera CHLAPEK Petr JEŽOVÁ Marta ADÁMKOVÁ Kateřina MAZÁNEK Pavel ŠTĚRBA Jaroslav VESELSKÁ Renata

Year of publication 2019
Type Article in Periodical
Magazine / Source PLOS ONE
MU Faculty or unit

Faculty of Science

Citation
Web https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218269
Doi http://dx.doi.org/10.1371/journal.pone.0218269
Keywords Neuroblastoma; induced differentiation; retinoids; retinoic acid; bexarotene; fenretinide; biomarkers
Description Although the administration of retinoids represents an important part of treatment for children suffering from high-risk neuroblastomas, approximately 50% of these patients do not respond to this therapy or develop resistance to retinoids during treatment. Our study focused on the comparative analysis of the expression of five genes and corresponding proteins (DDX39A, HMGA1, HMGA2, HOXC9 and PBX1) that have recently been discussed as possible predictive biomarkers of clinical response to retinoid differentiation therapy. Expression of these five candidate biomarkers was evaluated at both the mRNA and protein level in the same subset of 8 neuroblastoma cell lines after treatment with natural or synthetic retinoids. We found that the cell lines that were HMGA2-positive and/or HOXC9-negative have a reduced sensitivity to retinoids. Furthermore, the experiments revealed that the retinoid-sensitive cell lines showed a uniform pattern of change after treatment with both natural and sensitive retinoids: increased DDX39A and decreased PBX1 protein levels. Our results showed that in NBL cells, these putative protein biomarkers are associated with sensitivity or resistance to retinoids, and their endogenous or induced expression can distinguish between these two phenotypes.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info