Literature DB >> 32368036

Fullerene Derivatives as Lung Cancer Cell Inhibitors: Investigation of Potential Descriptors Using QSAR Approaches.

Hung-Jin Huang1,2, Olga A Kraevaya3,4, Ilya I Voronov4, Pavel A Troshin3,4, Shan-Hui Hsu1,2,5.   

Abstract

BACKGROUND: Nanotechnology-based strategies in the treatment of cancer have potential advantages because of the favorable delivery of nanoparticles into tumors through porous vasculature.
MATERIALS AND METHODS: In the current study, we synthesized a series of water-soluble fullerene derivatives and observed their anti-tumor effects on human lung carcinoma A549 cell lines. The quantitative structure-activity relationship (QSAR) modeling was employed to investigate the relationship between anticancer effects and descriptors relevant to peculiarities of molecular structures of fullerene derivatives.
RESULTS: In the QSAR regression model, the evaluation results revealed that the determination coefficient r2 and leave-one-out cross-validation q2 for the recommended QSAR model were 0.9966 and 0.9246, respectively, indicating the reliability of the results. The molecular modeling showed that the lack of chlorine atom and a lower number of aliphatic single bonds in saturated hydrocarbon chains may be positively correlated with the lung cancer cytotoxicity of fullerene derivatives. Synthesized water-soluble fullerene derivatives have potential functional groups to inhibit the proliferation of lung cancer cells.
CONCLUSION: The guidelines obtained from the QSAR model might strongly facilitate the rational design of potential fullerene-based drug candidates for lung cancer therapy in the future.
© 2020 Huang et al.

Entities:  

Keywords:  QSAR; cytotoxicity; machine learning; non-small cell lung cancer; water-soluble fullerene derivatives

Mesh:

Substances:

Year:  2020        PMID: 32368036      PMCID: PMC7170710          DOI: 10.2147/IJN.S243463

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


  39 in total

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9.  Surgical outcomes in patients with locally advanced gastric cancer treated with S-1 and oxaliplatin as neoadjuvant chemotherapy.

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10.  An overview of targeted cancer therapy.

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3.  Investigation of potential descriptors of chemical compounds on prevention of nephrotoxicity via QSAR approach.

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