Biosensing breast cancer cells based on a three-dimensional TIO2 nanomembrane transducer

• Published in: Biosensors & bioelectronics Vol. 92; pp. 313 - 320
• Main Authors: Zanghelini, Fernando, Frías, Isaac A.M., Rêgo, Moacyr J.B.M., Pitta, Maira G.R., Sacilloti, Marco, Oliveira, Maria D.L., Andrade, Cesar A.S.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15-06-2017
• Subjects: Biosensor; Cancer cells; Impedance spectroscopy; Lectins; Lectins; Impedance spectroscopy; Biosensor; Cancer cells
• ISSN: 0956-5663; 1873-4235
• DOI: 10.1016/j.bios.2016.11.006

The early diagnosis of breast cancer is crucial for the successful treatment and recovery phases of the patients suffering from the disease. Although mammography is considered the gold standard for diagnosis, it fails to detect some cancers in high-density breasts. In this work, we propose for the first time a tridimensional biosensor platform, to be used on an electrochemical point-of-care device. The bioconjugated platform is constructed on a series of covalent linkages between lectin molecules and a cysteine layer immobilized over gold-coated TiO2 butterfly-like tridimensional nanomembranes. Through the use of vegetal lectins, we managed to take advantage of the markedly atypical glycomic profile of the cancerous mammalian cell membrane and successfully made a distinction between highly invasive (T47D) and less invasive (MCF7) cancer cell lines. The selectivity of the biosensor was tested by using normal human skin-fibroblast. The proposed cytosensor demonstrated limits of detection as low as 10 cells mL−1 for every cell line and a linear range from 10 to 1.0×106 cells mL−1. Considering that electrochemical impedance values can be correlated with the number of breast cancer cells present in the sample, we suggest that the proposed platform could be useful in facilitating the diagnosis of cancer.
•A three-dimensional-based biosensor platform was obtained.•We successfully made a distinction between highly and less invasive cancer cell lines.•The proposed approach demonstrated detection limits as low as 10cells/mL.•The proposed platform could be useful to facilitate the medical diagnosis of the cancer.