학술논문
Aptamer-Based Recognition of Breast Tumor Cells: A New Era for Breast Cancer Diagnosis.
Document Type
Article
Author
de Araújo, Natassia Silva; Moreira, Aline dos Santos; Abreu, Rayane da Silva; Junior, Valdemir Vargas; Antunes, Deborah; Mendonça, Julia Badaró; Sassaro, Tayanne Felippe; Jurberg, Arnon Dias; Ferreira-Reis, Rafaella; Bastos, Nina Carrossini; Fernandes, Priscila Valverde; Guimarães, Ana Carolina Ramos; Degrave, Wim Maurits Sylvain; Tilli, Tatiana Martins; Waghabi, Mariana Caldas
Source
Subject
*BREAST
*CANCER diagnosis
*BREAST tumors
*COMPUTATIONAL biology
*APTAMERS
*CAUSES of death
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Language
ISSN
1661-6596
Abstract
Breast cancer is one of the leading causes of death among women worldwide and can be classified into four major distinct molecular subtypes based on the expression of specific receptors. Despite significant advances, the lack of biomarkers for detailed diagnosis and prognosis remains a major challenge in the field of oncology. This study aimed to identify short single-stranded oligonucleotides known as aptamers to improve breast cancer diagnosis. The Cell-SELEX technique was used to select aptamers specific to the MDA-MB-231 tumor cell line. After selection, five aptamers demonstrated specific recognition for tumor breast cell lines and no binding to non-tumor breast cells. Validation of aptamer specificity revealed recognition of primary and metastatic tumors of all subtypes. In particular, AptaB4 and AptaB5 showed greater recognition of primary tumors and metastatic tissue, respectively. Finally, a computational biology approach was used to identify potential aptamer targets, which indicated that CSKP could interact with AptaB4. These results suggest that aptamers are promising in breast cancer diagnosis and treatment due to their specificity and selectivity. [ABSTRACT FROM AUTHOR]