Evidence map›Paper›PMID 33919456›Full record

ArticleMicromachines2021

An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells.

Hei-Jen Jou, Li-Yun Chou, Wen-Chun Chang, Hsin-Cheng Ho, Wan-Ting Zhang, Pei-Ying Ling, Ko-Hsin Tsai, Szu-Hua Chen, Tze-Ho Chen, Pei-Hsuan Lo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  15. Understanding False Negative in Prenatal Testing.Diagnostics (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Hei-Jen JouDepartments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
Li-Yun ChouDepartments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.
Wen-Chun ChangDepartments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.
Hsin-Cheng HoInternational College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Wan-Ting ZhangCytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan.
Pei-Ying LingDepartments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
Ko-Hsin TsaiDepartments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
Szu-Hua ChenCirculating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan.
Tze-Ho ChenDepartment of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua 526, Taiwan.
Pei-Hsuan LoDepartments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
Ming ChenDepartments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.ORCID 0000-0001-5076-2917
Heng-Tung HsuInternational College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.ORCID 0000-0002-7753-5690
Taiwan Adventist Hospital · TWNational Taiwan University Hospital · TWNational Yang Ming Chiao Tung University · TWChanghua Christian Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cell (CTC) test is currently used as a biomarker in cancer treatment. Unfortunately, the poor reproducibility and limited sensitivity with the CTC detection have limited its potential impact on clinical application. A reliable automated CTC detection system is therefore needed. We have designed an automated microfluidic chip-based CTC detection system and hypothesize this novel system can reliably detect CTC from clinical specimens. SKOV3 ovarian cancer cell line was used first to test the reliability of our system. Ten healthy volunteers, 5 patients with benign ovarian tumors, and 8 patients with epithelial ovarian cancer (EOC) were recruited to validate the CTC capturing efficacy in the peripheral blood. The capture rates for spiking test in SKOV3 cells were 48.3% and 89.6% by using anti-EpCAM antibody alone and a combination of anti-EpCAM antibody and anti-N-cadherin antibody, respectively. The system was sensitive to detection of low cell count and showed a linear relationship with the cell counts in our test range. The sensitivity and specificity were 62.5% and 100% when CTC was used as a biomarker for EOC. Our results demonstrated that this automatic CTC platform has a high capture rate and is feasible for detection of CTCs in EOC.

Indexed as

CD13circulating tumor cellsepithelial ovarian cancerliquid biopsySKOV3

Identifiers

PMID33919456
PMCPMC8143501
OpenAlexW3133581899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.