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Isolation of Extracellular Vesicles as a Potential Biomarker for Early Detection of Ovarian Cancer
Dosunmu, Boluwatife
Dosunmu, Boluwatife
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Abstract
Ovarian cancer (OC) poses a significant health challenge, ranking fifth in cancer deaths among women in the USA. Due to the asymptomatic nature of early-stage OC, diagnosis often occurs at an advanced metastatic stage, resulting in reduced survival rates. Cancer Antigen 125 (CA 125) has been a pivotal marker for OC screening, but its effectiveness, particularly for early detection, is limited. Therefore, exploring novel biomarkers is crucial to improve OC diagnosis and reduce mortality. Recent research has also suggested that extracellular vesicles (EVs) may serve as promising diagnostic biomarkers, so in our study, we present the development of an automated, cost-effective microfluidic device for early OC detection, employing antibodies selected for EV-specific OC membrane proteins, such as ITGB3, ITGA5. The microfluidic device, featuring approximately two million micropillars, facilitates efficient EV capture. A photocleavable (PC) linker was employed for the gentle release of captured EVs using a 450nm blue-light LED. Protein quantification via BCA Assay was done and the result indicated the antibody efficiency in capturing the target protein. Notably, our results demonstrated a highly significant exoEV recovery of ITGB3 and ITGA5 from ovarian cancer plasma compared to the healthy controls. In addition, NTA and TEM analysis was done to further characterize the plasma samples giving details about their sizes and number of particles present in each samples. The released EVs will still be counted using an in-plane extended nano-coulter counter (XnCC) which is integrated to the microfluidic device. The XnCC consists of a narrow constriction (~423 nm) for the electrical detection of nanoparticles as they pass through an in-plane pore utilizing resistive pulse sensing (RPS). This device features 5 pores in parallel, enhancing particle sampling efficiency while maintaining high detection precision for single particles. The XnCC devices are adaptable to fabrication in thermoplastics like cyclic olefin polymer (COP), allowing for cost-effective mass production through replication-based methods, such as nano-injection molding. This screening method is imperative for the early diagnosis of ovarian cancer.
Description
This is the presentation given at the National Organization for the Professional Advancement of Black Chemists and Chemical Engineers (NOBCChE).
Date
2024-10-02
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Publisher
University of Kansas
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DosunmuB_2025.pdf
Adobe PDF, 5.03 MB