Abstract

Breast cancer represents a great challenge since it is the first cause of death by cancer in women worldwide. LncRNAs are a newly described class of non-coding RNAs that participate in cancer progression. Their use as cancer markers and possible therapeutic targets has recently gained strength. Animal xenotransplants allows for in vivo monitoring of disease development, molecular elucidation of pathogenesis and the design of new therapeutic strategies. Nevertheless, the cost and complexities of mice husbandry makes medium to high throughput assays difficult. Zebrafishes (Danio rerio) represent a novel model for these assays, given the ease with which xenotransplantation trials can be performed and the economic and experimental advantages it offers. In this review we propose the use of xenotransplants in zebrafish to study the role of breast cancer lncRNAs using low to medium high throughput assays.

Highlights

  • Recent work has identified an autophagy-related long noncoding RNA (lncRNA) prognostic signature (ALPS) model composed of five autophagy-related lncRNAs (MAPT-AS1, LINC01871, AL122010.1, AC090912.1, AC061992.1). These results suggested that the autophagy-related lncRNAs are clinically valuable prognostic biomarkers in breast cancer [56]

  • We found 15 lncRNAs annotated in the zebrafish genome, orthologous to 18 human lncRNAs associated with breast cancer, using the Gencode [154], Lnc2Cancer v2.0 [30], LNCipedia [12], and ZFLNC [11] databases

  • Breast cancer study through xenotransplantation in zebrafish is a valuable tool given the speed with which tumors are obtained and experiments are concluded

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Summary

Introduction

Breast CancerBreast cancer is the most frequent malignancy in women worldwide and the leading cause of malignancy-related death [1]. Zebrafish xenotransplantation represents a step forward in modeling the complexity of breast cancer tumors, and the involvement of a particular gene in each of the events that accompany cancer, as cells are implanted into a living organism in which many types of dynamic interactions can occur.

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