Cited by 44Microfluidic and Bio-sensing TechnologiesCancer Genomics and DiagnosticsMicrofluidic and Capillary Electrophoresis Applications

Rethinking liquid biopsy: Microfluidic assays for mobile tumor cells in human body fluids

Neoh, Kuang Hong, Hassan, Ayon Ahmed, Chen, Anqi, Sun, Yukun, Liu, Peng, Xu, Kai-Feng, Wong, Alice S.T., Han, Ray P.S.·2018·Biomaterials

Abstract

Traditionally, liquid biopsy is a blood test involving the harvesting of tumor materials from peripheral blood. Tumor cells from non-blood body fluids have always been clinically available in cytological examinations but limited for use in differential diagnosis due to the low sensitivity of conventional cytopathology. With the recent significant progress in microfluidic and downstream molecular technologies, liquid biopsies have now evolved to include harvesting tumor cells and DNA fragments in all kinds of non-blood body fluids. This expansion into general body fluids presages the notion that liquid biopsy could soon be used in competition, as well as, in complementarity with tissue biopsy. Preliminary research of fluid-harvested tumor materials to spot early-stage tumors, monitor disease progression for metastasis and recurrence, and detect chemoresistance have been reported. To reflect the propagation of tumor cells in non-blood body fluids, we introduced the term Mobile Tumor Cells (MTCs), in lieu of the widely accepted term of circulating tumor cells (CTCs) resident in the bloodstream. Our review starts with a discussion on the clinical significance of MTCs, followed by a presentation of microfluidic techniques for MTC capture and various strategies for their identification. Hopefully, the phenotypic and genomic data acquired from harvested MTCs can be used to guide and improve cancer treatment decisions.

Integrity signals

Registry

Crossref · 10.1016/j.biomaterials.2017.10.006

Cites

142 of 142 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

3 of the 145 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Neoh, K. H., Hassan, A. A., Chen, A., Sun, Y., Liu, P., Xu, K.-F., Wong, A. S. T., & Han, R. P. S.
Affiliations
  • Peking University (CN)
  • University of Hong Kong (HK)
  • Peking Union Medical College Hospital (CN)
Corresponding author
  • Wong, Alice S.T.
  • Han, Ray P.S.
Venue
Biomaterials
Publisher
Elsevier BV
Published
2018-01
Volume
150
Pages
112-124
ISSN
0142-9612 (ISSN-L)
OpenAlex
W2763126001
Cited by
44
References
145
Citations by year
2026: 1 · 2025: 5 · 2024: 1 · 2023: 7 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 8 · 2018: 6
FWCI
0.44
Type
journal article
Language
en
Open access
closed
Locations
  • Biomaterials (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Hong Kong Arts Development Council (17122014, C1013-15G)
  • National Natural Science Foundation of China (81570061)
  • National Basic Research Program of China (2016YFC0901502)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
Keywords
liquid biopsy, microfluidic cell capture, circulating tumor cells, tumor cell identification, early cancer detection, metastasis monitoring, tumor recurrence, chemoresistance, cancer treatment decision-making
MeSH terms
Liquid Biopsy, Body Fluids, Humans, Neoplastic Cells, Circulating, Neoplasms, Sequence Analysis, DNA, Microfluidics, Single-Cell Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review