Publications by authors named "Petra Krauledat"

Background: Measurement of serum CA125, an antigenic fragment of human mucin 16 (MUC16), is used to monitor the clinical progression of epithelial ovarian cancer (EOC). However, rather than simply a passive marker reflecting tumor burden, MUC16 may have a more active role by binding to immune cells and altering their tumor response. We developed a research tool to measure MUC16-binding to the surfaces of peripheral blood mononuclear cell (PBMC) subtypes and tested its research value using specimens collected serially from a woman being treated for high grade serous EOC.

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Article Synopsis
  • - MUC16, a molecule linked to ovarian cancer (CA125), attaches in low amounts to immune cells via Siglec-9, but traditional imaging methods can't detect this effectively.
  • - A new "digital" optical cytometry technique was developed, using plasmonic nanoparticles and deep learning, to analyze CA125 binding at nearly single-molecule sensitivity in blood immune cells from ovarian cancer patients.
  • - Results showed that ovarian cancer patients had significantly higher CA125 levels on specific immune cell types compared to healthy donors, but there was no link between CA125 levels on immune cells and serum, indicating different roles for these measurements in cancer diagnostics.
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Although levels of the circulating ovarian cancer marker (CA125) can distinguish ovarian masses that are likely to be malignant and correlate with severity of disease, serum CA125 has not proved useful in general population screening. Recently, cell culture studies have indicated that MUC16 may bind to the Siglec-9 receptor on natural killer (NK) cells where it downregulates the cytotoxicity of NK cells, allowing ovarian cancer cells to evade immune surveillance. We present evidence that the presence of MUC16 can be locally visualized and imaged on the surface of peripheral blood mononuclear cells (PBMCs) in ovarian cancer via a novel "digital" cytometry technique that incorporates: (i) OC125 monoclonal antibody-conjugated gold nanoparticles as optical nanoprobes, (ii) a high contrast dark-field microscopy system to detect PBMC-bound gold nanoparticles, and (iii) a computational algorithm for automatic counting of these nanoparticles to estimate the quantity of surface-bound MUC16.

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