Next generation of ovarian cancer detection using aptamers

dc.creatorAbreu, Rayane da Silva
dc.creatorAntunes, Deborah
dc.creatorMoreira, Aline dos Santos
dc.creatorPassetti, Fabio
dc.creatorMendonça, Julia Badaró
dc.creatorAraújo, Natássia Silva de
dc.creatorSassaro, Tayanne Felippe
dc.creatorAlberto, Anael Viana Pinto
dc.creatorCarrossini, Nina
dc.creatorFernandes, Priscila Valverde
dc.creatorCosta, Mayla Abrahim
dc.creatorGuimarães, Ana Carolina Ramos
dc.creatorDegrave, Wim Maurits Sylvain
dc.creatorWaghabi, Mariana Caldas
dc.date2023-05-22T12:42:33Z
dc.date2023-05-22T12:42:33Z
dc.date2023
dc.date.accessioned2023-09-26T23:24:55Z
dc.date.available2023-09-26T23:24:55Z
dc.identifierABREU, Rayane da Silva et al. Next generation of ovarian cancer detection using aptamers. Int. J. Mol. Sci, v. 24, n. 6315, p. 1-28, 2023.
dc.identifier1422-0067
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/58543
dc.identifierhttps:// doi.org/10.3390/ijms24076315
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8890327
dc.descriptionOvarian cancer is among the seven most common types of cancer in women, being the most fatal gynecological tumor, due to the difficulty of detection in early stages. Aptamers are important tools to improve tumor diagnosis through the recognition of specific molecules produced by tumors. Here, aptamers and their potential targets in ovarian cancer cells were analyzed by in silico approaches. Specific aptamers were selected by the Cell-SELEX method using Caov-3 and OvCar-3 cells. The five most frequent aptamers obtained from the last round of selection were computationally modeled. The potential targets for those aptamers in cells were proposed by analyzing proteomic data available for the Caov-3 and OvCar-3 cell lines. Overexpressed proteins for each cell were characterized as to their three-dimensional model, cell location, and electrostatic potential. As a result, four specific aptamers for ovarian tumors were selected: AptaC2, AptaC4, AptaO1, and AptaO2. Potential targets were identified for each aptamer through Molecular Docking, and the best complexes were AptaC2-FXYD3, AptaC4-ALPP, AptaO1-TSPAN15, and AptaO2-TSPAN15. In addition, AptaC2 and AptaO1 could detect different stages and subtypes of ovarian cancer tissue samples. The application of this technology makes it possible to propose new molecular biomarkers for the differential diagnosis of epithelial ovarian cancer.
dc.formatapplication/pdf
dc.languagepor
dc.publisherMDPI
dc.rightsopen access
dc.subjectCarcinoma, Ovarian Epithelial
dc.subjectAptamers
dc.subjectComputer Simulation
dc.subjectCarcinoma Epitelial de Ovario
dc.subjectAptámeros
dc.subjectSimulación por Computador
dc.subjectCarcinome épithélial de l'ovaire
dc.subjectAptamères
dc.subjectSimulation numérique
dc.subjectCarcinoma Epitelial do Ovário
dc.subjectAptâmeros
dc.subjectModelagem Computacional
dc.titleNext generation of ovarian cancer detection using aptamers
dc.typeArticle


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