Advances in Electrochemical Biosensor Technologies for the Detection of Nucleic Acid Breast Cancer Biomarkers
Overview
Authors
Affiliations
Breast cancer is the second leading cause of cancer deaths in women worldwide; therefore, there is an increased need for the discovery, development, optimization, and quantification of diagnostic biomarkers that can improve the disease diagnosis, prognosis, and therapeutic outcome. Circulating cell-free nucleic acids biomarkers such as microRNAs (miRNAs) and breast cancer susceptibility gene 1 (BRCA1) allow the characterization of the genetic features and screening breast cancer patients. Electrochemical biosensors offer excellent platforms for the detection of breast cancer biomarkers due to their high sensitivity and selectivity, low cost, use of small analyte volumes, and easy miniaturization. In this context, this article provides an exhaustive review concerning the electrochemical methods of characterization and quantification of different miRNAs and BRCA1 breast cancer biomarkers using electrochemical DNA biosensors based on the detection of hybridization events between a DNA or peptide nucleic acid probe and the target nucleic acid sequence. The fabrication approaches, the biosensors architectures, the signal amplification strategies, the detection techniques, and the key performance parameters, such as the linearity range and the limit of detection, were discussed.
Saadh M, Al-Rihaymee A, Kaur M, Kumar A, Mutee A, Ismaeel G AAPS PharmSciTech. 2024; 25(8):276.
PMID: 39604642 DOI: 10.1208/s12249-024-02983-8.
Screen-Printed Electrodes as Low-Cost Sensors for Breast Cancer Biomarker Detection.
Shen Y, Sun Z, Zhao S, Chen F, Shi P, Zhao N Sensors (Basel). 2024; 24(17).
PMID: 39275589 PMC: 11398123. DOI: 10.3390/s24175679.
3D Printing for Cancer Diagnosis: What Unique Advantages Are Gained?.
Zhang Y ACS Mater Au. 2023; 3(6):620-635.
PMID: 38089653 PMC: 10636786. DOI: 10.1021/acsmaterialsau.3c00046.
Current research status of tumor cell biomarker detection.
Jiang L, Lin X, Chen F, Qin X, Yan Y, Ren L Microsyst Nanoeng. 2023; 9:123.
PMID: 37811123 PMC: 10556054. DOI: 10.1038/s41378-023-00581-5.
Gender Differences and miRNAs Expression in Cancer: Implications on Prognosis and Susceptibility.
Caserta S, Gangemi S, Murdaca G, Allegra A Int J Mol Sci. 2023; 24(14).
PMID: 37511303 PMC: 10380791. DOI: 10.3390/ijms241411544.