Immunohistochemical Characterization of Normal Ovary and Common Epithelial Ovarian Neoplasm with a Monoclonal Antibody to Cytokeratin and Vimentin

The exact role of malignant ascites in the development of intraperitoneal metastases remains unclear, and the mechanisms by which extracellular vesicles (EVs) promote tumor progression in the pre‐metastatic niche have not been fully discovered. In this study, we characterized ascites from high‐grade epithelial ovarian cancer patients. Small‐EVs (30–150 nm) were isolated from two sources—the bulk ascites and the ascitic fluid‐derived tumor cell cultures—and assessed with a combination of imaging, proteomic profiling, and protein expression analyses. In addition, Gene Ontology and pathway analysis were performed using different databases and bioinformatic tools. The results proved that the small‐EVs derived from the two sources exhibited significantly different stiffness and size distributions. The bulk ascitic fluid‐derived small‐EVs were predominantly involved in the complement and coagulation cascade. Small‐EVs derived from ascites cell cultures contained a robust proteomic profile of extracellular matrix remodeling regulators, and we observed an increase in transforming growth factor‐β‐I (TGFβI), plasminogen activator inhibitor 1 (PAI‐1), and fibronectin expression after neoadjuvant chemotherapy. When measured in the two sources, we demonstrated that fibronectin exhibited opposite expression patterns in small‐EVs in response to chemotherapy. These findings highlight the importance of an ascites cell isolation workflow in investigating the treatment‐induced cancer adaption processes.

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Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix

Bortot

Apollonio

Rampazzo

et al. 2021

Molecular Oncology

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Association of long-term particulate matter exposure with all-cause mortality among patients with ovarian cancer: A prospective cohort

Huang

Shi

et al. 2023

Science of The Total Environment

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An Innovative 3D-IDE Design and Adaptive Signal Extraction Algorithm for Efficient Ovarian Cancer Detection

Pandey,

Bonam,

Agrawal

et al. 2024

ACS Appl. Mater. Interfaces

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This work presents a facile, ultrasensitive, and selective chemiresistive biosensor assisted by an adaptive signal extraction algorithm (ASEA) for detecting vimentin, a potential biomarker for ovarian cancer detection. The low-cost device, fabricated on a PCB substrate through sacrificial copper etching, features a 3D-IDE design with interwoven comb-like structures mimicking the natural symmetry of a droplet. An unequal count of positive and negative concentric circle fingers ensures a uniform, higher electric field over the sensor's surface, as verified by COMSOL Multiphysics 3D simulation. This optimal electric field elegantly reflects changes in the IV characteristics, even with minor variations in surface charge density from probe-target interactions. Graphene oxide, functionalized with a heterobifunctional linker, serves as the sensing nanomaterial. A detailed study examines the device's response with interdigitated gaps from 30 to 150 μm. A wider interdigitated gap introduces greater variability in the response across different voltage levels. To address this, the Pythonbased ASEA meticulously scans the entire voltage range, isolating the segment of the signal that best balances both the intensity and extension for optimal expression. ASEA boosts the limit of detection (LOD) by five times for sensors with gaps of over 100 μm. The biosensor achieves a minimum LOD of 9.45 fg mL −1 and a highest sensitivity of (ΔR/R) 477 ng mL −1 cm 2 . The biosensor exhibits excellent selectivity, strong resistance to interfering proteins, and commendable stability, showcasing its potential for on-field and point-of-care testing.

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Immunohistochemical Characterization of Normal Ovary and Common Epithelial Ovarian Neoplasm with a Monoclonal Antibody to Cytokeratin and Vimentin

Cited by 5 publications

References 15 publications

Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix

Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix

Association of long-term particulate matter exposure with all-cause mortality among patients with ovarian cancer: A prospective cohort

An Innovative 3D-IDE Design and Adaptive Signal Extraction Algorithm for Efficient Ovarian Cancer Detection

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