Fast enrichment and detection of circulating tumor cells from large volumes of whole blood of breast cancer patients utilizing a functionalized bioaffinity CTC filtration membrane
Leonie F. Ott, Laura Keller, Nathan Bentley, Hümeyra Husseini‐Wüsthoff, René Werner, Marc Zinggeler, Jakoba Heidler, Parinaz Mossahebi Mohammadi, Cornelia Coith, Anne Pradines, Nikolas H. Stoecklein, Malte Löptien, Sven Peine, Maria Geffken, Corinna Güsmer, Mina Netkova‐Heintzen

TL;DR
A new filtration membrane rapidly enriches circulating tumor cells from large blood volumes, improving detection for breast cancer patients.
Contribution
A functionalized nickel filtration membrane enables fast and efficient CTC enrichment from large blood volumes.
Findings
The new filtration membrane detected CTCs in 95% of metastatic breast cancer patient samples.
The system processed 40 mL of blood in 2.5 minutes with a filtration time of 40 seconds per 7.5 mL.
The new system matched the FDA-approved CellSearch® in categorizing CTCs but with faster processing.
Abstract
Circulating tumor cells (CTCs) are valuable liquid biopsy analytes as they facilitate an in‐depth characterization of disseminated tumors by a simple blood draw. Most CTC assays can only process limited blood volumes, potentially hampering the detection of cells of very low frequency, such as CTCs. Here, we introduce a novel, functionalized nickel filtration membrane, facilitating rapid enrichment of CTCs from various volumes of blood up to 40 mL and leukapheresis products. We validated this assay with different cancer cell lines and compared the performance of our new assay with that of the FDA‐cleared CellSearch® system. Performing a comparative analysis of 20 blood samples from patients with metastatic breast cancer, CTCs were found in 19/20 patients (95%), combining the results of both CTC enrichment assays. CTC counts/7.5 mL of blood ranged from 0 to 7280 (CTC filtration membrane)…
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Taxonomy
TopicsCancer Cells and Metastasis · Microfluidic and Bio-sensing Technologies · Single-cell and spatial transcriptomics
