Synergistic Antitumor Efficacy Mediated by Liposomal Co-Delivery of Polymeric Micelles of Vinorelbine and Cisplatin in Non-Small Cell Lung Cancer

Wang, Shuhang; Gou, Jingxin; Wang, Yue; Tan, Xinyi; Zhao, Linxuan; Jin, Xiangshu; Tang, Xing

doi:10.2147/ijn.s290263

Cited by 29 publications

(13 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If some special processes are used to prepare nanoparticles, liposomes, microspheres, cyclodextrin inclusions, etc., the bioavailability of drugs may be improved, and the side effects would be reduced [ 351 ]. Researchers have developed a liposomal co-delivery of polymeric micelle followed by a combination of vinorelbine and cisplatin and found that this liposome has a synergistic antitumor effect and obvious efficacy in reducing tumor size [ 352 ]. In addition, evodiamine was combined with a wood oil emulsive nanosystem to improve the solubility of the drug and the sensitivity of cancer cells to evodiamine [ 353 ].…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Naturally derived indole alkaloids targeting regulated cell death (RCD) for cancer therapy: from molecular mechanisms to potential therapeutic targets

et al. 2022

View full text Add to dashboard Cite

Regulated cell death (RCD) is a critical and active process that is controlled by specific signal transduction pathways and can be regulated by genetic signals or drug interventions. Meanwhile, RCD is closely related to the occurrence and therapy of multiple human cancers. Generally, RCD subroutines are the key signals of tumorigenesis, which are contributed to our better understanding of cancer pathogenesis and therapeutics. Indole alkaloids derived from natural sources are well defined for their outstanding biological and pharmacological properties, like vincristine, vinblastine, staurosporine, indirubin, and 3,3′-diindolylmethane, which are currently used in the clinic or under clinical assessment. Moreover, such compounds play a significant role in discovering novel anticancer agents. Thus, here we systemically summarized recent advances in indole alkaloids as anticancer agents by targeting different RCD subroutines, including the classical apoptosis and autophagic cell death signaling pathways as well as the crucial signaling pathways of other RCD subroutines, such as ferroptosis, mitotic catastrophe, necroptosis, and anoikis, in cancer. Moreover, we further discussed the cross talk between different RCD subroutines mediated by indole alkaloids and the combined strategies of multiple agents (e.g., 3,10-dibromofascaplysin combined with olaparib) to exhibit therapeutic potential against various cancers by regulating RCD subroutines. In short, the information provided in this review on the regulation of cell death by indole alkaloids against different targets is expected to be beneficial for the design of novel molecules with greater targeting and biological properties, thereby facilitating the development of new strategies for cancer therapy. Graphic abstract

show abstract

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Naturally derived indole alkaloids targeting regulated cell death (RCD) for cancer therapy: from molecular mechanisms to potential therapeutic targets

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The second is when the storage space of the tensor kernel reaches the specified warning value due to the increase of TT rank. The last one is in front of some operations that need to use orthogonal characteristics [30][31] .…”

Section: Figure 3 Schematic Diagram Of Tensor Chain Decomposition Of ...mentioning

confidence: 99%

Data distribution and tensor influence analysis of different clustering methods

Zhang

Hao

et al. 2023

Preprint

View full text Add to dashboard Cite

At present, people are in the era of big data, which is changing people's views of the world. However, it has the characteristics of various types, huge scale, and complex relationships. In order to solve the repeated calculation caused by streaming data in the processing of tensor-based big data, there will also be dimension disasters. Therefore, in this paper, an incremental tensor train decomposition (ITTD) method is proposed to solve multi-clustering problem in tensor-based big data analysis systems. It mainly uses results of the tensor train decomposition obtained from the original tensor to calculate and updates the results of tensor train decomposition to avoid the repetitive decomposition of the original tensor and enhance the decomposition efficiency. The performance of ITTD method is tested through theoretical analysis, a large number of simulation data and a comparative experiment on the real data of public transportation in a region. The experimental results indicate that the execution time of ITTD is significantly shorter than that of nonincremental tensor train decomposition(NTTD) with time. However, as time goes by, there is no obvious difference in the approximation error and storage space between the two.. This shows that, compared to that of the traditional nonincremental method, if the approximation error and storage space are close, the execution time of the incremental method will be greatly shortened. It can improve the processing efficiency of multi-clustering problems in the tensor-based big data analysis system.

show abstract

“…Liposome encapsulating polymeric micelles loaded with vinorelbine and cis-diamminedichloroplatinum (II) (cisplatin) have also been designed for the treatment of non-small-cell lung cancer, an aggressive tumor with high mortality and poor prognosis [ 166 ]. The stability of this formulation has been tested in PBS (pH 7.4) solvent and 10% plasma, showing no significant change in particle size and a slight increase in the polydispersity index, indicating that the particles could accumulate if stored for more than 72 h, and, therefore, that the co-delivered drugs were protected from metabolism and rapid elimination.…”

Section: Anticancer Drugs In Nanoparticle Systemsmentioning

confidence: 99%

Anticancer Drugs: Recent Strategies to Improve Stability Profile, Pharmacokinetic and Pharmacodynamic Properties

et al. 2022

View full text Add to dashboard Cite

In past decades, anticancer research has led to remarkable results despite many of the approved drugs still being characterized by high systemic toxicity mainly due to the lack of tumor selectivity and present pharmacokinetic drawbacks, including low water solubility, that negatively affect the drug circulation time and bioavailability. The stability studies, performed in mild conditions during their development or under stressing exposure to high temperature, hydrolytic medium or light source, have demonstrated the sensitivity of anticancer drugs to many parameters. For this reason, the formation of degradation products is assessed both in pharmaceutical formulations and in the environment as hospital waste. To date, numerous formulations have been developed for achieving tissue-specific drug targeting and reducing toxic side effects, as well as for improving drug stability. The development of prodrugs represents a promising strategy in targeted cancer therapy for improving the selectivity, efficacy and stability of active compounds. Recent studies show that the incorporation of anticancer drugs into vesicular systems, such as polymeric micelles or cyclodextrins, or the use of nanocarriers containing chemotherapeutics that conjugate to monoclonal antibodies can improve solubility, pharmacokinetics, cellular absorption and stability. In this study, we summarize the latest advances in knowledge regarding the development of effective highly stable anticancer drugs formulated as stable prodrugs or entrapped in nanosystems.

show abstract

Synergistic Antitumor Efficacy Mediated by Liposomal Co-Delivery of Polymeric Micelles of Vinorelbine and Cisplatin in Non-Small Cell Lung Cancer

Cited by 29 publications

References 42 publications

Naturally derived indole alkaloids targeting regulated cell death (RCD) for cancer therapy: from molecular mechanisms to potential therapeutic targets

Naturally derived indole alkaloids targeting regulated cell death (RCD) for cancer therapy: from molecular mechanisms to potential therapeutic targets

Data distribution and tensor influence analysis of different clustering methods

Anticancer Drugs: Recent Strategies to Improve Stability Profile, Pharmacokinetic and Pharmacodynamic Properties

Contact Info

Product

Resources

About