Evidence map›Paper›PMID 21850384›Full record

ArticleJournal of cancer research and clinical oncology2011

Microelectromechanical system-based diagnostic technology for cervical cancer.

Song Gao, Xinyan Wang

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Song GaoDepartment of Obstetric and Gynecology, Shengjing Hospital of the China Medical University Shenyang, Shenyang 110004, China. baossunny@163.com
Xinyan Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the correlations of human papillomavirus (HPV) infection and α6 integrin up-regulation to the tumorigenesis and development of cervical cancer, and develop an on-chip antibody-based detection system using the microelectromechanical system (MEMS) device for recognizing and capturing cervical cancer cells from a mixed cell population.

methodsWe determined the efficiency of an antibody-based MEMS platform in recognizing and capturing cervical cancer cells. In addition, α6 integrin was used as a capture antibody bound to the channel surface. Channels 2 cm long × 50 cm wide with inlet and outlet diameters of 50 cm were formed in microfluidic polydimethylsiloxane (PDMS) chips.

resultsThe overall chip measured 2 cm × 1.5 cm × 0.5 cm. Using a syringe micropump, 20,000 normal human cervical epithelial cells (HCEC), 20,000 human cervical stromal cells (HCSC), and 20,000 human cervical cancer cells (HCCC) were suspended in PBS and flowed through the system at a rate of 20 mL/min. At this flow rate, more than 45% of cancer cells were captured, whereas less than 5% of normal cells were captured. In addition, we confirmed the specificity of this system in cell-type targeting using PCR.

conclusionsMEMS is a sensitive and accurate method for capturing and enriching cells of interest. This technique is potentially useful in detecting cervical cancer at all stages, as well as other cancers with similar characteristics of cell surface antigen expression.

Indexed as

Micro-Electrical-Mechanical SystemsFemaleHumansTumor Cells, CulturedUterine Cervical Neoplasms

Identifiers

PMID21850384
PMCPMC11827780

What OpenQuestion holds

Textmetadata
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.