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Erschienen in: Breast Cancer Research and Treatment 2/2020

12.10.2019 | Review

Microtubule-associated tumor suppressors as prognostic biomarkers in breast cancer

verfasst von: Sylvie Rodrigues-Ferreira, Angie Molina, Clara Nahmias

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 2/2020

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Abstract

Purpose

Breast cancer is the most common malignancy in women worldwide. Although important therapeutic progress was achieved over the past decade, this disease remains a public health problem. In light of precision medicine, the identification of new prognostic biomarkers in breast cancer is urgently needed to stratify populations of patients with poor clinical outcome who may benefit from new personalized therapies. The microtubule cytoskeleton plays a pivotal role in essential cellular functions and is an interesting target for cancer therapy. Microtubule assembly and dynamics are regulated by a wide range of microtubule-associated proteins (MAPs), some of which have oncogenic or tumor suppressor effects in breast cancer.

Results

This review covers current knowledge on microtubule-associated tumor suppressors (MATS) in breast cancer and their potential value as prognostic biomarkers. We present recent studies showing that combinatorial expression of ATIP3 and EB1, two microtubule-associated biomarkers with tumor suppressor and oncogenic effects, respectively, improves breast cancer prognosis compared to each biomarker alone.

Conclusions

These findings are discussed regarding the increasing complexity of protein networks composed of MAPs that coordinate microtubule dynamics and functions. Further studies are warranted to evaluate the prognostic value of combined expression of different MATS and their interacting partners in breast cancer.
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Metadaten
Titel
Microtubule-associated tumor suppressors as prognostic biomarkers in breast cancer
verfasst von
Sylvie Rodrigues-Ferreira
Angie Molina
Clara Nahmias
Publikationsdatum
12.10.2019
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 2/2020
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-019-05463-x

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