Evidence map›Paper›PMID 28442907›Full record

ArticleInternational journal of nanomedicine2017

Synthesis of magnetic molecularly imprinted polymers with excellent biocompatibility for the selective separation and inhibition of testosterone in prostate cancer cells.

Xiaoshuang Tang, Feng Li, Jing Jia, Chao Yang, Wei Liu, Ben Jin, Xinyang Wang, Ruixia Gao, Dalin He, Peng Guo

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Xiaoshuang TangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Feng LiDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Jing JiaDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Chao YangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Wei LiuDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Ben JinDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Xinyang WangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Ruixia GaoInstitute of Analytical Science, School of Science, Xi'an Jiaotong University.
Dalin HeDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
Peng GuoDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University.
First Affiliated Hospital of Xi'an Jiaotong University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAndrogen plays an important role in the progression of prostate cancer. In the present study, novel magnetic molecularly imprinted polymers (MMIPs) with good biocompatibility were produced for the selective separation and inhibition of testosterone in prostate cancer cells. MATERIALS AND

methodsMMIPs were prepared by using magnetic nanospheres, gelatin, and testosterone as the supporting materials, functional monomer, and the template molecule, respectively. The characterization of the resultant products was investigated by transmission electron microscopy, X-ray diffraction, and vibrating sample magnetometry. To test whether MMIPs can remove testosterone in biologic samples, human LNCaP (androgen-dependent) and C4-2 (androgen-independent) prostate cancer cells were selected as cell models. The translocation of androgen receptor (AR) was detected by immunofluorescence assay, and the expression of PSA mRNA was detected by real-time quantitative polymerase chain reaction analysis. Cell flow cytometry analysis was performed to detect cell cycle arrest.

resultsThe synthesized nanomaterials (MMIPs) possessed high crystallinity, satisfactory superparamagnetic properties, and uniform imprinted shell, and exhibited high adsorption capacity, fast kinetics, and high selectivity for testosterone. Moreover, the obtained imprinted nanomaterials could selectively enrich and detect testosterone in the LNCaP cell samples as a solid-phase extractant coupled with high-performance liquid chromatography. In addition, the MMIPs could freely enter prostate cancer cells and suppress the translocation of AR into the cell nucleus. We further found that MMIPs inhibited upregulation of AR downstream target genes in LNCaP and C4-2 cells; also, MMIPs inhibited cell growth and induced obvious cell cycle arrest in androgen-dependent LNCaP cells, but had no obvious effect on androgen-independent C4-2 cells.

conclusionOur results indicate that the obtained imprinted nanomaterials can specifically and effectively bind testosterone and recover it from prostate cancer cells. Moreover, the MMIPs can freely enter prostate cancer cells and block the activation of testosterone-AR pathway. Thus, the MMIPs may be a new option for antiandrogen therapy in prostate cancer.

Indexed as

AdsorptionBiocompatible MaterialsCell Line, TumorChromatography, High Pressure LiquidFerrous CompoundsHumansMagneticsMagnetometryMaleMicroscopy, Electron, TransmissionMolecular ImprintingPolymersProstatic NeoplasmsSolid Phase ExtractionTestosteroneX-Ray DiffractionBiocompatible MaterialsFerrous Compoundsferrous oxidePolymersTestosteroneandrogen deprivation therapyandrogen receptormagnetic separationprostate cancersolid-phase extractiontestosterone

Identifiers

PMID28442907
PMCPMC5396939
OpenAlexW2607032057

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LicenceCC BY-NC
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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.