Targeting Post-Translational Modifications to Improve Combinatorial Therapies in Breast Cancer: The Role of Fucosylation

Author:

Antonarelli Gabriele12ORCID,Pieri Valentina34,Porta Francesca Maria56ORCID,Fusco Nicola25ORCID,Finocchiaro Gaetano7ORCID,Curigliano Giuseppe12ORCID,Criscitiello Carmen12ORCID

Affiliation:

1. Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, 20139 Milan, Italy

2. Department of Oncology and Hemato-Oncology (DIPO), University of Milan, 20122 Milan, Italy

3. Neural Stem Cell Biology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, 20132 Milan, Italy

4. Vita-Salute San Raffaele University, 20132 Milan, Italy

5. Division of Pathology, European Institute of Oncology (IEO), IRCCS, 20141 Milan, Italy

6. School of Pathology, University of Milan, 20122 Milan, Italy

7. Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy

Abstract

Various tumors rely on post-translational modifications (PTMs) to promote invasiveness and angiogenesis and to reprogram cellular energetics to abate anti-cancer immunity. Among PTMs, fucosylation is a particular type of glycosylation that has been linked to different aspects of immune and hormonal physiological functions as well as hijacked by many types of tumors. Multiple tumors, including breast cancer, have been linked to dismal prognoses and increased metastatic potential due to fucosylation of the glycan core, namely core-fucosylation. Pre-clinical studies have examined the molecular mechanisms regulating core-fucosylation in breast cancer models, its negative prognostic value across multiple disease stages, and the activity of in vivo pharmacological inhibition, instructing combinatorial therapies and translation into clinical practice. Throughout this review, we describe the role of fucosylation in solid tumors, with a particular focus on breast cancer, as well as physiologic conditions on the immune system and hormones, providing a view into its potential as a biomarker for predicating or predicting cancer outcomes, as well as a potential clinical actionability as a biomarker.

Publisher

MDPI AG

Subject

General Medicine

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