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- W2589170454 abstract "72 Background: Circulating tumor cells (CTCs) have clinical value in cancer diagnosis, prognosis, and treatment prediction. The On-Q-ity Microfluidic Chip (OnQchip ) with a gradient design has the advantage of dual size and affinity capture resulting in increased efficiency. Accurately detecting and classifying these rare captured cells in patient blood however is difficult. We present an imaging platform for accurate and reproducible CTC detection, where identified cells and fragments are further classified into several subclasses that may have separate prognostic utilities. Methods: Whole blood from advanced stage cancer patients and non-diseased controls was processed within 36 hours of collection. Blood was run on OnQchips coated with anti-EpCAM antibody. Captured CTCs and cellular fragments were identified by on-chip immunofluorescence. Chips were imaged at 5X magnification on a rapid automated platform. Cytokeratin positive (CK + ) events were identified and sorted via an advanced detection algorithm using a set of spatial and spectral features. Events were further validated and separated into subclasses by trained experts using 10X magnification. Results: Greater than 85% capture efficiency was repeatedly achieved in spiked blood with nearly 100% detection sensitivity and 3% false positive rate following automated sorting of CTC candidates. On a cohort of 27 prostate cancer patients and 33 normal subjects a median of 19 CK + events/7.5 ml blood were detected in cancer patients, compared to a median of only 6 in normals. ROC analysis yielded AUC values of 0.62 to 0.77 for separate subclasses of CTCs. An AUC of nearly 0.80 was achieved by combining two or more subclasses. Conclusions: Preliminary evaluation of this imaging platform shows efficient and reproducible CTC detection in spiked and patient samples. Enumeration using subclasses achieved high sensitivities and specificities in separating cancer patients from normals and therefore, makes this technology feasible for both research and clinical studies. Future clinical studies with large sample sizes will be performed to validate clinical significance of CTC subclasses." @default.
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- W2589170454 date "2012-10-20" @default.
- W2589170454 modified "2023-10-16" @default.
- W2589170454 title "Detecting and classifying circulating tumor cell subclasses from On-Q-ity microfluidic chips using a customized imaging platform." @default.
- W2589170454 doi "https://doi.org/10.1200/jco.2012.30.30_suppl.72" @default.
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