Label‐Free Microscale Technologies for Isolation of Heterogeneous Circulating Tumor Cells

The dissemination of primary solid tumor cells to distant organs, termed metastasis, is a major cause of cancer‐related deaths. Circulating tumor cells (CTCs), which can exist as individual cells or multicellular clusters, travel through the bloodstream. Their isolation from liquid biopsy samples is increasingly recognized as a valuable tool for diagnosis, prognosis, and treatment guidance for cancer patients. Current isolation methods typically rely on biomarkers like epithelial cell adhesion molecule (EpCAM) and utilize technologies such as magnetic beads or microfluidic chips. However, these methods face limitations due to tumor heterogeneity. Furthermore, tumor cells that transfer into CTCs often undergo epithelial‐to‐mesenchymal transition, gaining invasive characteristics while losing epithelial markers. As a result, these cells are difficult to detect using EpCAM‐based methods. Label‐free microscale isolation technologies tackle the limitations of biomarker‐based methods by leveraging the distinctive physical properties of CTCs, such as their size, electrical charge, viscoelasticity, and deformability that contrast them from normal blood cells. This review evaluates primary label‐free isolation methods, including deterministic lateral displacement, microfiltration, acoustophoresis, and dielectrophoresis, and whether they can offer a deeper insight into tumor heterogeneity and the dynamics of cancer progression and treatment. Additionally, it highlights automated platforms for high‐throughput CTC isolation and analysis.

Authors

Institutions

Publication Details

Journal
Advanced NanoBiomed Research
Published
2025-05-08
DOI
https://doi.org/10.1002/anbr.202400179
Citations
2
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Label‐Free Microscale Technologies for Isolation of Heterogeneous Circulating Tumor Cells

Georg R. Pesch, Peter ten Dijke, Esma Derin, John W.M. Martens et al.
2 citations
Advanced NanoBiomed Research
Cancer Cells and Metastasis
2.09
article

Label‐Free Microscale Technologies for Isolation of Heterogeneous Circulating Tumor Cells

Georg R. Pesch, Peter ten Dijke, Esma Derin, John W.M. Martens, Gürhan Özkayar, Pouyan E. Boukany
article en
2 citations

Abstract

The dissemination of primary solid tumor cells to distant organs, termed metastasis, is a major cause of cancer‐related deaths. Circulating tumor cells (CTCs), which can exist as individual cells or multicellular clusters, travel through the bloodstream. Their isolation from liquid biopsy samples is increasingly recognized as a valuable tool for diagnosis, prognosis, and treatment guidance for cancer patients. Current isolation methods typically rely on biomarkers like epithelial cell adhesion molecule (EpCAM) and utilize technologies such as magnetic beads or microfluidic chips. However, these methods face limitations due to tumor heterogeneity. Furthermore, tumor cells that transfer into CTCs often undergo epithelial‐to‐mesenchymal transition, gaining invasive characteristics while losing epithelial markers. As a result, these cells are difficult to detect using EpCAM‐based methods. Label‐free microscale isolation technologies tackle the limitations of biomarker‐based methods by leveraging the distinctive physical properties of CTCs, such as their size, electrical charge, viscoelasticity, and deformability that contrast them from normal blood cells. This review evaluates primary label‐free isolation methods, including deterministic lateral displacement, microfiltration, acoustophoresis, and dielectrophoresis, and whether they can offer a deeper insight into tumor heterogeneity and the dynamics of cancer progression and treatment. Additionally, it highlights automated platforms for high‐throughput CTC isolation and analysis.

Advanced NanoBiomed ResearchVol. 5(6)
University College Dublin (IE), Leiden University (NL), Oncode Institute (NL), Delft University of Technology (NL)
ZonMw, Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 12%
Cancer Cells and Metastasis
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.