Polymeric prodrug combination to exploit the therapeutic potential of antimicrobial peptides against cancer cells

2016 ◽  
Vol 14 (39) ◽  
pp. 9278-9286 ◽  
Author(s):  
G. J. Kelly ◽  
A. Foltyn-Arfa Kia ◽  
F. Hassan ◽  
S. O'Grady ◽  
M. P. Morgan ◽  
...  

The first targeted anticancer polymeric prodrug candidates of antimicrobial peptides, intended for combination therapy with another polymeric prodrug of an approved antineoplastic agent (doxorubicin) are reported.

Pharmaceutics ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1045
Author(s):  
Michał Burdukiewicz ◽  
Katarzyna Sidorczuk ◽  
Dominik Rafacz ◽  
Filip Pietluch ◽  
Mateusz Bąkała ◽  
...  

Antimicrobial peptides (AMPs) constitute a diverse group of bioactive molecules that provide multicellular organisms with protection against microorganisms, and microorganisms with weaponry for competition. Some AMPs can target cancer cells; thus, they are called anticancer peptides (ACPs). Due to their small size, positive charge, hydrophobicity and amphipathicity, AMPs and ACPs interact with negatively charged components of biological membranes. AMPs preferentially permeabilize microbial membranes, but ACPs additionally target mitochondrial and plasma membranes of cancer cells. The preference towards mitochondrial membranes is explained by their membrane potential, membrane composition resulting from α-proteobacterial origin and the fact that mitochondrial targeting signals could have evolved from AMPs. Taking into account the therapeutic potential of ACPs and millions of deaths due to cancer annually, it is of vital importance to find new cationic peptides that selectively destroy cancer cells. Therefore, to reduce the costs of experimental research, we have created a robust computational tool, CancerGram, that uses n-grams and random forests for predicting ACPs. Compared to other ACP classifiers, CancerGram is the first three-class model that effectively classifies peptides into: ACPs, AMPs and non-ACPs/non-AMPs, with AU1U amounting to 0.89 and a Kappa statistic of 0.65. CancerGram is available as a web server and R package on GitHub.


Author(s):  
Mayson H. Alkhatib ◽  
Dalal Al-Saedi ◽  
Wadiah S. Backer

The combination of anticancer drugs in nanoparticles has great potential as a promising strategy to maximize efficacies by eradicating resistant, reduce the dosage of the drug and minimize toxicities on the normal cells. Gemcitabine (GEM), a nucleoside analogue, and atorvastatin (ATV), a cholesterol lowering agent, have shown anticancer effect with some limitations. The objective of this in vitro study was to evaluate the antitumor activity of the combination therapy of GEM and ATVencapsulated in a microemulsion (ME) formulation in the HCT116 colon cancer cells. The cytotoxicity and efficacy of the formulation were assessed by the 3- (4,5dimethylthiazole-2-yl)-2,5-diphyneltetrazolium bromide (MTT) assay. The mechanism of cell death was examined by observing the morphological changes of treated cells under light microscope, identifying apoptosis by using the ApopNexin apoptosis detection kit, and viewing the morphological changes in the chromatin structure stained with 4′,6-diamidino-2-phenylindole (DAPI) under the inverted fluorescence microscope. It has been found that reducing the concentration of GEM loaded on ME (GEM-ME) from 5μM to 1.67μM by combining it with 3.33μM of ATV in a ME formulation (GEM/2ATV-ME) has preserved the strong cytotoxicity of GEM-ME against HCT116 cells. The current study proved that formulating GEM with ATV in ME has improved the therapeutic potential of GEM and ATV as anticancer drugs.


2020 ◽  
Vol 26 ◽  
Author(s):  
Yuying Qi ◽  
Chaoying Song ◽  
Jiali Zhang ◽  
Chong Guo ◽  
Chengfu Yuan

Background: Long non-coding RNA (LncRNAs), with the length over 200 nucleotides, originate from intergenic, antisense, or promoter-proximal regions, is a large family of RNAs that lack coding capacity. Emerging evidences illustrated that LncRNAs played significant roles in a variety of cellular functions and biological processes in profuse human diseases, especially in cancers. Cancer susceptibility candidate 9 (CASC9), as a member of the LncRNAs group, was firstly found its oncogenic function in esophageal cancer. In following recent studies, a growing amount of human malignancies are verified to be correlated with CASC9, most of which are derived from the squamous epithelium tissue. This present review attempts to highlight the latest insights into the expression, functional roles, and molecular mechanisms of CASC9 in different human malignancies. Methods: In this review, the latest findings related to the pathophysiological processes of CASC9 in human cancers were summarized and analyzed, the associated studies were collected in systematically retrieval of PubMed used lncRNA and CASA9 as keywords. Results: CASC9 expression is identified to be aberrantly elevated in a variety of malignancies. The over-expression of CASC9 has been suggested to accelerate cell proliferation, migration, cell growth and drug resistance of cancer cells, while depress cell apoptosis, revealing its role as an oncogene. Moreover, the current review demonstrated CASC9 closely relates to neoplastic transformation of squamous epithelial cells and squamous metaplasia in non-squamous epithelial tissues. Finally, we discuss the limitations and tremendous diagnostic/therapeutic potential of CASC9 in various human cancers. Results: CASC9 expression is identified to be aberrantly elevated in a variety of malignancies. The over-expression of CASC9 has been suggested to accelerate cell proliferation, migration, cell growth and drug resistance of cancer cells, while depress cell apoptosis, revealing its role as an oncogene. Moreover, the current review demonstrated CASC9 closely relates to neoplastic transformation of squamous epithelial cells and squamous metaplasia in non-squamous epithelial tissues. Finally, we discuss the limitations and tremendous diagnostic/therapeutic potential of CASC9 in various human cancers. Conclusion: Long non-coding RNACASC9 likely served as useful disease biomarkers or therapy targets that could effectively apply in treatment of different kinds of cancers.


Author(s):  
Menghan Gao ◽  
Hong Deng ◽  
Weiqi Zhang

: Hyaluronan (HA) is a natural linear polysaccharide that has excellent hydrophilicity, biocompatibility, biodegradability, and low immunogenicity, making it one of the most attractive biopolymers used for biomedical researches and applications. Due to the multiple functional sites on HA and its intrinsic affinity for CD44, a receptor highly expressed on various cancer cells, HA has been widely engineered to construct different drug-loading nanoparticles (NPs) for CD44- targeted anti-tumor therapy. When a cocktail of drugs is co-loaded in HA NP, a multifunctional nano-carriers could be obtained, which features as a highly effective and self-targeting strategy to combat the cancers with CD44 overexpression. The HA-based multidrug nano-carriers can be a combination of different drugs, various therapeutic modalities, or the integration of therapy and diagnostics (theranostics). Up to now, there are many types of HA-based multidrug nano-carriers constructed by different formulation strategies including drug co-conjugates, micelles, nano-gels and hybrid NP of HA and so on. This multidrug nano-carrier takes the full advantages of HA as NP matrix, drug carriers and targeting ligand, representing a simplified and biocompatible platform to realize the targeted and synergistic combination therapy against the cancers. In this review, recent progresses about HA-based multidrug nano-carriers for combination cancer therapy are summarized and its potential challenges for translational applications have been discussed.


2021 ◽  
Vol 14 (3) ◽  
pp. 254
Author(s):  
Afnan H. El-Gowily ◽  
Samah A. Loutfy ◽  
Ehab M. M. Ali ◽  
Tarek M. Mohamed ◽  
Mohammed A. Mansour

Cancer is a complex devastating disease with enormous treatment challenges, including chemo- and radiotherapeutic resistance. Combination therapy demonstrated a promising strategy to target hard-to-treat cancers and sensitize cancer cells to conventional anti-cancer drugs such as doxorubicin. This study aimed to establish molecular profiling and therapeutic efficacy assessment of chloroquine and/or tioconazole (TIC) combination with doxorubicin (DOX) as anew combination model in MCF-7 breast cancer. The drugs are tested against apoptotic/autophagic pathways and related redox status. Molecular docking revealed that chloroquine (CQ) and TIC could be potential PI3K and ATG4B pathway inhibitors. Combination therapy significantly inhibited cancer cell viability, PI3K/AkT/mTOR pathway, and tumor-supporting autophagic flux, however, induced apoptotic pathways and altered nuclear genotoxic feature. Our data revealed that the combination cocktail therapy markedly inhibited tumor proliferation marker (KI-67) and cell growth, along with the accumulation of autophagosomes and elevation of LC3-II and p62 levels indicated autophagic flux blockage and increased apoptosis. Additionally, CQ and/or TIC combination therapy with DOX exerts its activity on the redox balance of cancer cells mediated ROS-dependent apoptosis induction achieved by GPX3 suppression. Besides, Autophagy inhibition causes moderately upregulation in ATGs 5,7 redundant proteins strengthened combinations induced apoptosis, whereas inhibition of PI3K/AKT/mTOR pathway with Beclin-1 upregulation leading to cytodestructive autophagy with overcome drug resistance effectively in curing cancer. Notably, the tumor growth inhibition and various antioxidant effects were observed in vivo. These results suggest CQ and/or TIC combination with DOX could act as effective cocktail therapy targeting autophagy and PI3K/AKT/mTOR pathways in MCF-7 breast cancer cells and hence, sensitizes cancer cells to doxorubicin treatment and combat its toxicity.


2020 ◽  
Vol 216 (7) ◽  
pp. 153010 ◽  
Author(s):  
Milad Hashemzehi ◽  
Farimah Beheshti ◽  
Seyed Mahdi Hassanian ◽  
Gordon A. Ferns ◽  
Majid Khazaei ◽  
...  

Author(s):  
Sehrish Nayab ◽  
Muhammad Aamir Aslam ◽  
Sajjad ur Rahman ◽  
Zia ud Din Sindhu ◽  
Sanaullah Sajid ◽  
...  

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