Evidence map›Paper›PMID 28894364›Full record

ArticleInternational journal of nanomedicine2017

EpCAM aptamer-functionalized polydopamine-coated mesoporous silica nanoparticles loaded with DM1 for targeted therapy in colorectal cancer.

Yang Li, Yanhong Duo, Shiyun Bao, Lisheng He, Kai Ling, Jinfeng Luo, Yue Zhang, Hao Huang, Han Zhang, Xiaofang Yu

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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.6field-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

27 citing papers in PubMed, 69 citations in OpenAlex.

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  19. Mesoporous Silica Nanoparticles for Targeting Subcellular Organelles.International journal of molecular sciences · 2020
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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 5 institutions in 3 countries.

Yang Li *Department of Hepatobiliary and Pancreas Surgery, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital.
Yanhong Duo *Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics, Collaborative Innovation Center for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen.
Shiyun BaoDepartment of Hepatobiliary and Pancreas Surgery, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital.
Lisheng HeDepartment of Pathology.
Kai LingInstitute of Respiratory Diseases, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China.
Jinfeng LuoDepartment of Pathology.
Yue ZhangDepartment of Hepatobiliary and Pancreas Surgery, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital.
Hao HuangShenzhen Engineering Laboratory of Phosphorene and Optoelectronics, Collaborative Innovation Center for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen.
Han ZhangShenzhen Engineering Laboratory of Phosphorene and Optoelectronics, Collaborative Innovation Center for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen.
Xiaofang YuDepartment of Hepatobiliary and Pancreas Surgery, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital.
Jinan University · CNIntegrated Optoelectronics (Norway) · NOLanzhou University · CNMinistry of Education · KNShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DM1, a maytansine derivative, is a highly potential cytotoxic agent but with severe side effects; therefore, its application in clinical cancer therapy is limited. Here, in order to mitigate this intrinsic drawback of DM1, we developed mesoporous silica nanoparticles (MSNs) loaded with DM1 and surface-decorated with hydrochloride dopamine (PDA), polyethylene glycol (PEG), and epithelial cell adhesion molecule (EpCAM) aptamer (APt) for the targeted treatment of colorectal cancer (CRC). In this system, the PDA coating could be used as pH-sensitive gatekeepers to control the release of DM1 from MSNs in response to the pH stimulus and EpCAM APt-guided active targeting enables the increased delivery of DM1 to CRC as well as a reduction in toxicity and side effects by minimizing the exposure of normal tissues to DM1. Results demonstrated that DM1 inhibited the formation of microtubules and induced apoptosis in tumor cells via caspase signaling. In comparison with the control groups, the MSNs-DM1@PDA-PEG-APt bioconjugates exhibited increased binding ability and much higher cytotoxicity to the CRC SW480 cell line. Furthermore, in vivo assays confirmed the advantages of such a strategy. These findings suggested that MSNs-DM1@PDA-PEG-APt could represent a promising therapeutic platform for EpCAM-positive CRC.

Indexed as

AnimalsAntineoplastic AgentsApoptosisAptamers, PeptideCell Line, TumorColorectal NeoplasmsDopamineEpithelial Cell Adhesion MoleculeFemaleHumansIndolesMaytansineMice, NudeMolecular Targeted TherapyNanoparticlesParticle SizeAntineoplastic AgentsAptamers, PeptideDopamineEpithelial Cell Adhesion MoleculeIndolesMaytansinepolydopaminePolyethylene GlycolsPolymersSilicon Dioxidecolorectal cancerDM1EpCAM aptamermesoporous silica nanoparticles

Identifiers

PMID28894364
PMCPMC5584901
OpenAlexW2746281865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.