An Innovative Drug Repurposing Approach to Restrain Endometrial Cancer Metastatization

Author:

Torricelli Federica1,Sauta Elisabetta12ORCID,Manicardi Veronica123ORCID,Mandato Vincenzo Dario4ORCID,Palicelli Andrea5ORCID,Ciarrocchi Alessia1ORCID,Manzotti Gloria1ORCID

Affiliation:

1. Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Viale Risorgimento 80, 42123 Reggio Emilia, Italy

2. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy

3. Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy

4. Unit of Obstetrics and Gynaecology, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy

5. Pathology Unit, Department of Oncology and Advanced Technologies, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy

Abstract

Background: Endometrial cancer (EC) is the most common gynecologic tumor and the world’s fourth most common cancer in women. Most patients respond to first-line treatments and have a low risk of recurrence, but refractory patients, and those with metastatic cancer at diagnosis, remain with no treatment options. Drug repurposing aims to discover new clinical indications for existing drugs with known safety profiles. It provides ready-to-use new therapeutic options for highly aggressive tumors for which standard protocols are ineffective, such as high-risk EC. Methods: Here, we aimed at defining new therapeutic opportunities for high-risk EC using an innovative and integrated computational drug repurposing approach. Results: We compared gene-expression profiles, from publicly available databases, of metastatic and non-metastatic EC patients being metastatization the most severe feature of EC aggressiveness. A comprehensive analysis of transcriptomic data through a two-arm approach was applied to obtain a robust prediction of drug candidates. Conclusions: Some of the identified therapeutic agents are already successfully used in clinical practice to treat other types of tumors. This highlights the potential to repurpose them for EC and, therefore, the reliability of the proposed approach.

Funder

Italian Ministry of Health—Ricerca Corrente Annual Program 2023

Publisher

MDPI AG

Subject

General Medicine

Reference50 articles.

1. Cancer statistics, 2018;Siegel;CA Cancer J. Clin.,2018

2. ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: Diagnosis, treatment and follow-up;Colombo;Ann. Oncol.,2016

3. New therapies for advanced, recurrent, and metastatic endometrial cancers;Makker;Gynecol. Oncol. Res. Pract.,2017

4. (2021, January 28). National Cancer Institute, Available online: https://www.cancer.gov/about-cancer/treatment/drugs/endometrial.

5. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information;Luo;Nat. Commun.,2017

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