ArticleInternational journal of molecular sciences2023
Next Generation of Ovarian Cancer Detection Using Aptamers.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Vascular endothelial generating factor pathway in ovarian cancer.Journal of ovarian research · 2025Review
- ALPP Induces Epithelial-Mesenchymal Transition by Activating the Wnt/β-Catenin Signaling Pathway in Colorectal Cancer Cells.Cancer management and research · 2025Article
- Development and characterization of high-affinity aptamers for HIV protease detection.Heliyon · 2024Article
- Current developments of SELEX technologies and prospects in the aptamer selection with clinical applications.Journal, genetic engineering & biotechnology · 2024Review
- The Development and Characterisation of ssDNA Aptamers via a Modified Cell-SELEX Methodology for the Detection of Human Red Blood Cells.International journal of molecular sciences · 2024Article
- Aptamer-Based Recognition of Breast Tumor Cells: A New Era for Breast Cancer Diagnosis.International journal of molecular sciences · 2024Article
- A TSHR-Targeting Aptamer in Monocytes Correlating with Clinical Activity in TAO.International journal of nanomedicine · 2024Article
- Aptamers as Potential Therapeutic Tools for Ovarian Cancer: Advancements and Challenges.Cancers · 2023Review
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Authors and funding
14 authors at 3 institutions in 1 country.
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Abstract
Ovarian 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.