ArticleRSC advances2020
Drug-loaded dual targeting graphene oxide-based molecularly imprinted composite and recognition of carcino-embryonic antigen.
Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 28 citations in OpenAlex.
- Engineering molecularly imprinted polymers for receptor-specific cancer therapeutics.Nanoscale · 2026Review
- Molecularly Imprinted Carriers for Diagnostics and Therapy-A Critical Appraisal.Pharmaceutics · 2023Review
- Insights of Platinum Drug Interaction with Spinel Magnetic Nanocomposites for Targeted Anti-Cancer Effect.Cancers · 2023Article
- A Review on the Production Methods and Applications of Graphene-Based Materials.Nanomaterials (Basel, Switzerland) · 2021Review
- Determination of chloropropanol with an imprinted electrochemical sensor based on multi-walled carbon nanotubes/metal-organic framework composites.RSC advances · 2021Article
- An ionic liquid-molecularly imprinted composite based on graphene oxide for the specific recognition and extraction of cancer antigen 153.RSC advances · 2021Article
- Functionalized Graphene Platforms for Anticancer Drug Delivery.International journal of nanomedicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite extensive research on functional graphene oxide for anticancer drug delivery, the sensitivity of traditional protein targeting ligands to the environment limits the practical applications of targeted drug delivery. A unique molecularly imprinted magnetic graphene oxide was used as a novel drug delivery system for the treatment of tumors. Molecularly imprinted polymers (MIPs) synthesized by molecular imprinting technology have the advantages of good stability against chemical and enzymatic attacks, high specificity for a target template, and resistance to harsh environments. In our work, the MIP was used for specificity to tumor cells with carcino-embryonic (CEA) tumor markers as the template, and dopamine as the functional monomer was grafted on boronic acid-functionalized magnetic graphene oxide. The structure of the nanoparticles was optimized and characterized in detail by vibrating sample magnetometry, X-ray diffraction analysis, UV-vis spectroscopy, and flow cytometry. The prepared polymer has magnetic properties, specific recognition to CEA, biocompatibility and pH sensitivity for drug delivery. Cell culture research was carried out on the tumor cells and normal cells. The composites exhibited dual targeting properties that not only magnetically target but also specifically increase the drug cytotoxicity to the tumor cells by selectively binding to CEA. On the basis of these results, this study developed a novel approach for targeting tumor cells for drug delivery without needing to modify the protein ligand.
Identifiers
What OpenQuestion holds
Registered trials
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.