Evidence map›Paper›PMID 28377598›Full record

ArticleScientific reports2017

Highly-sensitive capture of circulating tumor cells using micro-ellipse filters.

Hongmei Chen, Baoshan Cao, Bo Sun, Yapeng Cao, Ke Yang, Yu-Sheng Lin

Erratum issuedAbstract read
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Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  8. Technologies for Viable Circulating Tumor Cell Isolation.International journal of molecular sciences · 2022
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  12. Inhibitory Effect ofMolecules (Basel, Switzerland) · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hongmei ChenInstitute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. hongmeichen@semi.ac.cn.
Baoshan CaoDepartment of chemotherapy and radiation sickness, Peking University Third Hospital, Beijing, 100191, China.
Bo SunInstitute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Yapeng CaoInstitute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Ke YangPhysics Department, University of Massachusetts Lowell, Lowell, Massachusetts, 01854, USA.
Yu-Sheng LinDivision of Nanobionic Research, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu, 215123, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) detection, enumeration and characterization with microfluidic chips has critical significance in cancer prognosis offering a non-invasive "liquid biopsy". Based on physical differences of size and deformability, we explore micro-ellipse filters consisting of microfuidic slits in series gradually narrowed. Slender tunnels sensitively capture tumor cells with slim chance to escape. Tumor cells could reside at capture sites organized by arrays of micro-ellipse microposts enduring less stress. Circular elliptical microstructures produce smooth flow minimally reducing any damage. "Air Suction" could extremely shorten capture. Capture efficiency comes out to be a robust yield of 90% and percentage obeys Gaussian distribution at various stages. With rare number accurately enumerated, micro-Ellipse filters have been tested high efficiently capturing tumor cells in both whole and lysed blood. To clinically validate the device, the microfluidic chip was utilized to identify and capture CTCs from metastatic breast, colon and non-small-cell lung (NSCLC) cancer patients. CTCs were detected positive in all samples with 4 patients having more than 20 CTCs. Those sensitive results are consistent with theoretical expectation. Efficient micro-ellipse filters enable clinical enumeration of metastasis, on-chip anti-cancer drug responses and biological molecular analysis.

Identifiers

PMID28377598
PMCPMC5428045

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.