Elevated NF-κB/SHh/GLI1 signature denotes a worse prognosis and represent a novel potential therapeutic target in advanced prostate cancer

Vecchiotti, D, Verzella, D, Di Vito Nolfi, M, D’Andrea, D ORCID: https://orcid.org/0000-0002-7843-3856, Flati, I, Di Francesco, B, Cornice, J, Alesse, E, Capece, D and Zazzeroni, F, 2022. Elevated NF-κB/SHh/GLI1 signature denotes a worse prognosis and represent a novel potential therapeutic target in advanced prostate cancer. Cells, 11 (13): 2118. ISSN 2073-4409

Full text not available from this repository.

Abstract

Prostate cancer (PCa) is the second most frequent cancer in men worldwide. NF-κB seems to play a key role in cell survival, proliferation and invasion, sustaining the heterogeneous multifocal nature of PCa. In recent years, the Hedgehog (Hh) signaling pathway has attracted attention as a therapeutic target due to its implication in tumorigenesis and metastasis in several types of cancer, including PCa. Although it is well-known that Sonic Hedgehog (SHh) is a transcriptional target of NF-κB(p65), and that GLI1 is the effector of this crosstalk, the precise role played by this axis in PCa is still not completely clear. Here, we set out to explore the correlation between NF-κB activation and SHh pathways in PCa, investigating if the interplay between NF-κB(p65) and SHh-GLI1 in advanced PCa could be a prospective therapeutic target. Our findings demonstrate that a NF-κB-SHh-GLI1 gene signature is enriched in PCa patients featuring a higher Gleason score. Moreover, elevated levels of this signature are associated with worse prognosis, thus suggesting that this axis could provide a route to treat aggressive PCa.

Item Type:	Journal article
Publication Title:	Cells
Creators:	Vecchiotti, D., Verzella, D., Di Vito Nolfi, M., D’Andrea, D., Flati, I., Di Francesco, B., Cornice, J., Alesse, E., Capece, D. and Zazzeroni, F.
Publisher:	MDPI
Date:	5 July 2022
Volume:	11
Number:	13
ISSN:	2073-4409
Identifiers:	Number Type 10.3390/cells11132118 DOI 1578357 Other
Rights:	This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	02 Aug 2022 13:02
Last Modified:	02 Aug 2022 13:02
URI:	https://irep.ntu.ac.uk/id/eprint/46810

Actions (login required)

Edit View

Statistics

Views

Downloads