Nano-synergistic combination of Erlotinib and Quinacrine for non-small cell lung cancer (NSCLC) therapeutics - Evaluation in biologically relevant in-vitro models

A nanotechnology driven effectual localized lung cancer targeting approaches using tyrosine kinases inhibitors: Recent progress, preclinical assessment, challenges, and future perspectives

The higher incidence and mortality rate among all populations worldwide explains the unmet solutions in the treatment of lung cancer. The evolution of targeted therapies using tyrosine kinase inhibitors (TKI) has encouraged anticancer therapies. However, on-target and off-target effects and the development of drug resistance limited the anticancer potential of such targeted biologics. The advances in nanotechnology-driven-TKI embedded carriers that offered a new path toward lung cancer treatment. It is the inhalation route of administration known for its specific, precise, and efficient drug delivery to the lungs. The development of numerous TKI-nanocarriers through inhalation is proof of TKI growth. The future scopes involve using potential lung cancer biomarkers to achieve localized active cancer-targeting strategies. The adequate knowledge of in vitro absorption models usually helps establish better in vitro - in vivo correlation/extrapolation (IVIVC/E) to successfully evaluate inhalable drugs and drug products. The advanced in vitro and ex vivo lung tissue/ organ models offered better tumor heterogeneity, etiology, and microenvironment heterogeneity. The involvement of lung cancer organoids (LCOs), human organ chip models, and genetically modified mouse models (GEMMs) has resolved the challenges associated with conventional in vitro and in vivo models. To access potential inhalation-based drugtherapies, biological barriers, drug delivery, device-based challenges, and regulatory challenges must be encountered associated with their development. A proper understanding of material toxicity, size-based particle deposition at active disease sites, mucociliary clearance, phagocytosis, and the presence of enzymes and surfactants are required to achieve successful inhalational drug delivery (IDD). This article summarizes the future of lung cancer therapy using targeted drug-mediated inhalation using TKI.

Pharmacology Progresses and Applications of Chloroquine in Cancer Therapy

Chloroquine is a common antimalarial drug and is listed in the World Health Organization Standard List of Essential Medicines because of its safety, low cost and ease of use. Besides its antimalarial property, chloroquine also was used in anti-inflammatory and antivirus, especially in antitumor therapy. A mount of data showed that chloroquine mainly relied on autophagy inhibition to exert its antitumor effects. However, recently, more and more researches have revealed that chloroquine acts through other mechanisms that are autophagy-independent. Nevertheless, the current reviews lacked a comprehensive summary of the antitumor mechanism and combined pharmacotherapy of chloroquine. So here we focused on the antitumor properties of chloroquine, summarized the pharmacological mechanisms of antitumor progression of chloroquine dependent or independent of autophagy inhibition. Moreover, we also discussed the side effects and possible application developments of chloroquine. This review provided a more systematic and cutting-edge knowledge involved in the anti-tumor mechanisms and combined pharmacotherapy of chloroquine in hope of carrying out more in-depth exploration of chloroquine and obtaining more clinical applications.

Multifaceted role of erlotinib in various cancer: nanotechnology intervention, patent landscape, and advancements in clinical trials

Erlotinib (ELB) is a tyrosine kinase inhibitor that targets the activity of Epidermal Growth Factor Receptor (EGFR) protein found in both healthy and cancerous cells. It binds reversibly to the ATP-binding site of the EGFR tyrosine kinase. ELB was approved by the US Food and Drug Administration (FDA) in 2004 for advanced non-small cell lung cancer (NSCLC) treatment in patients who relapsed after at least one other therapy. It was authorized for use with gemcitabine in 2005 for the treatment of advanced pancreatic cancer. In addition to lung cancer, ELB has shown promising results in the treatment of other cancers, including breast, prostate, colon, pancreatic, cervical, ovarian, and head and neck cancers. However, its limited water solubility, as a BCS class II drug, presents biopharmaceutical problems. Nanoformulations have been developed to overcome these issues, including increased solubility, controlled release, enhanced stability, tumor accumulation, reduced toxicity, and overcoming drug resistance. In older patients, ELB management should involve individualized dosing based on age-related changes in drug metabolism and close monitoring for adverse effects. Regular assessments of renal and hepatic functions are essential. This review provides an overview of ELB's role of ELB in treating various cancers, its associated biopharmaceutical issues, and the latest developments in ELB-related nanotechnology interventions. It also covers ELB patents granted in previous years and the ongoing clinical trials.

Predicting synergistic anticancer drug combination based on low-rank global attention mechanism and bilinear predictor

MOTIVATION

Drug combination therapy has exhibited remarkable therapeutic efficacy and has gradually become a promising clinical treatment strategy of complex diseases such as cancers. As the related databases keep expanding, computational methods based on deep learning model have become powerful tools to predict synergistic drug combinations. However, predicting effective synergistic drug combinations is still a challenge due to the high complexity of drug combinations, the lack of biological interpretability, and the large discrepancy in the response of drug combinations in vivo and in vitro biological systems.

RESULTS

Here, we propose DGSSynADR, a new deep learning method based on global structured features of drugs and targets for predicting synergistic anticancer drug combinations. DGSSynADR constructs a heterogeneous graph by integrating the drug-drug, drug-target, protein-protein interactions and multi-omics data, utilizes a low-rank global attention (LRGA) model to perform global weighted aggregation of graph nodes and learn the global structured features of drugs and targets, and then feeds the embedded features into a bilinear predictor to predict the synergy scores of drug combinations in different cancer cell lines. Specifically, LRGA network brings better model generalization ability, and effectively reduces the complexity of graph computation. The bilinear predictor facilitates the dimension transformation of the features and fuses the feature representation of the two drugs to improve the prediction performance. The loss function Smooth L1 effectively avoids gradient explosion, contributing to better model convergence. To validate the performance of DGSSynADR, we compare it with seven competitive methods. The comparison results demonstrate that DGSSynADR achieves better performance. Meanwhile, the prediction of DGSSynADR is validated by previous findings in case studies. Furthermore, detailed ablation studies indicate that the one-hot coding drug feature, LRGA model and bilinear predictor play a key role in improving the prediction performance.

AVAILABILITY AND IMPLEMENTATION

DGSSynADR is implemented in Python using the Pytorch machine-learning library, and it is freely available at https://github.com/DHUDBlab/DGSSynADR.

Modulating the Effect of β-Sitosterol Conjugated with Magnetic Nanocarriers to Inhibit EGFR and Met Receptor Cross Talk

The cross-talk between the EGFR (Epidermal Growth Factor Receptor) and MET (Hepatocyte Growth Factor Receptor) poses a significant challenge in the field of molecular signaling. Their intricate interplay leads to dysregulation and contributes to cancer progression and therapeutic resistance. β-Sitosterol (BS), a plant sterol with promising anticancer properties, shows increased research on its potential as a chemopreventive agent. However, significant modifications are required to deliver BS in cancer cells due to its lower efficacy. The present work aims to design a carrier-mediated delivery system specifically targeting cancer cells with EGFR and MET receptor cross-talk. Surface modification of BS was performed with superparamagnetic iron oxide nanoparticles (SPIONs), polyethylene glycol (PEG), and poly(N-isopropylacrylamide) (PNIPAM) to enhance the delivery of BS at the target site. BS was conjugated with SPIONs (BS-S), PNIPAM (BS-SP), PEG, and PNIPAM (BS-SPP) polymers, respectively, and the conjugated complexes were characterized. Results showed an increase in size, stability, and monodispersity in the following order, BS-S, BS-SP, and BS-SPP. The drug encapsulation efficiency was observed to be highest in BS-SPP (82.5%), compared to BS-S (61%) and BS-SP (74.9%). Sustained drug release was achieved in both BS-SP (82.6%) and BS-SPP (83%). The IC 50 value of BS, BS-S, BS-SP, and BS-SPP towards MCF 7 was 242 µg/mL,197 µg/mL, 168 µg/mL, and 149 µg/mL, HEPG2 was 274 µg/mL, 261 µg/mL, 233 µg/mL and 207 µg/mL and NCIH 460 was 191 µg/mL, 185 µg/mL, 175 and 164 µg/mL, indicating highest inhibition towards NCIH 460 cells. Our results conclude that β-sitosterol conjugated with SPION, PEG, and PNIPAM could be a potential targeted therapy in inhibiting EGFR and MET receptor-expressing cancer cells.

Cyclodextrin nanoparticles for diagnosis and potential cancer therapy: A systematic review

Cancer is still one of the world’s deadliest health concerns. As per latest statistics, lung, breast, liver, prostate, and cervical cancers are reported topmost worldwide. Although chemotherapy is most widely used methodology to treat cancer, poor pharmacokinetic parameters of anticancer drugs render them less effective. Novel nano-drug delivery systems have the caliber to improve the solubility and biocompatibility of various such chemical compounds. In this regard, cyclodextrins (CD), a group of natural nano-oligosaccharide possessing unique physicochemical characteristics has been highly exploited for drug delivery and other pharmaceutical purposes. Their cup-like structure and amphiphilic nature allows better accumulation of drugs, improved solubility, and stability, whereas CDs supramolecular chemical compatibility renders it to be highly receptive to various kinds of functionalization. Therefore combining physical, chemical, and bio-engineering approaches at nanoscale to specifically target the tumor cells can help in maximizing the tumor damage without harming non-malignant cells. Numerous combinations of CD nanocomposites were developed over the years, which employed photodynamic, photothermal therapy, chemotherapy, and hyperthermia methods, particularly targeting cancer cells. In this review, we discuss the vivid roles of cyclodextrin nanocomposites developed for the treatment and theranostics of most important cancers to highlight its clinical significance and potential as a medical tool.

Anti-Tumoral Effect of Chemerin on Ovarian Cancer Cell Lines Mediated by Activation of Interferon Alpha Response

Simple Summary

Chemerin is a multifunctional protein with an important role in the immune system. Recent evidence showed that chemerin also regulates the development of cancer. Ovarian cancer is a common type of tumor in women. In this study, we observed that chemerin decreases the growth of ovarian cancer cell lines in vitro when cultivated in standard cell culture or in globular multicellular aggregates. When we examined the mechanisms involved in this process, we found that treatment of ovarian cancer cells with chemerin led to the activation of genes that are known to mediate the effects of interferon alpha (IFNα). The main effect of IFNα is to defend body cells against viral infections, but it is also able to defeat cancer cells. We observed that this activation of IFNα response by chemerin resulted from the increased production of IFNα protein in ovarian cancer cells, which then reduced cancer cells numbers. However, it remains to be investigated how exactly chemerin might be able to activate interferon alpha and its anti-tumoral actions.

Abstract

The pleiotropic adipokine chemerin affects tumor growth primarily as anti-tumoral chemoattractant inducing immunocyte recruitment. However, little is known about its effect on ovarian adenocarcinoma. In this study, we examined chemerin actions on ovarian cancer cell lines in vitro and intended to elucidate involved cell signaling mechanisms. Employing three ovarian cancer cell lines, we observed differentially pronounced effects of this adipokine. Treatment with chemerin (huChem-157) significantly reduced OVCAR-3 cell numbers (by 40.8% on day 6) and decreased the colony and spheroid growth of these cells by half. The spheroid size of SK-OV-3 ovarian cancer cells was also significantly reduced upon treatment. Transcriptome analyses of chemerin-treated cells revealed the most notably induced genes to be interferon alpha (IFNα)-response genes like IFI27, OAS1 and IFIT1 and their upstream regulator IRF9 in all cell lines tested. Finally, we found this adipokine to elevate IFNα levels about fourfold in culture medium of the employed cell lines. In conclusion, our data for the first time demonstrate IFNα as a mediator of chemerin action in vitro. The observed anti-tumoral effect of chemerin on ovarian cancer cells in vitro was mediated by the notable activation of IFNα response genes, resulting from the chemerin-triggered increase of secreted levels of this cytokine.

Co-Delivery of Erlotinib and Resveratrol via Nanostructured Lipid Carriers: A Synergistically Promising Approach for Cell Proliferation Prevention and ROS-Mediated Apoptosis Activation

Cancer treatments are always associated with various challenges, and scientists are constantly trying to find new therapies and methods. Erlotinib (ELT) is a well-known medicine against non-small cell lung cancer (NSCLC). However, treatments by ELT disrupt therapy due to drug resistance and pose severe challenges to patients. To achieve high-performance treatment, we gained nanostructured lipid carriers (NLCs) to evaluate synergistic anticancer effects of co-delivery of ELT and resveratrol (RES), a natural herbal derived phenol against NSCLC. NLCs are prepared via the hot homogenization method and characterized. In vitro cytotoxicity of formulations were evaluated on adenocarcinoma human alveolar basal epithelial (A549) cells. Prepared NLCs showed a narrow particle size (97.52 ±17.14 nm), negative zeta potential (-7.67 ± 4.55 mV), and high encapsulation efficiency (EE%) was measured for the prepared co-delivery system (EE% 89.5 ± 5.16 % for ELT and 90.1 ± 6.61 % for RES). In vitro outcomes from cell viability study (12.63 % after 48 h of treatment), apoptosis assay (85.50%.), cell cycle (40.00% arrest in G2-M), and western blotting investigations (decreasing of protein expression levels of survivin, Bcl-2, P-Caspase 3 P-caspase 9, and P-ERK 1/2, and additionally, increasing protein levels of BAX, P53, C-Caspase 3 and 9), DAPI staining, and colony formation assays showed the augment cytotoxic performances for co-delivery of ELT and RES loaded NLCs. Our study introduced the co-delivery of ELT and RES by NLCs as a novel strategy to elevate the efficacy of chemotherapeutics for NSCLC.

Advances in Nanomaterial-Based Platforms to Combat COVID-19: Diagnostics, Preventions, Therapeutics, and Vaccine Developments

The COVID-19 pandemic caused by the SARS-CoV-2, a ribonucleic acid (RNA) virus that emerged less than two years ago but has caused nearly 6.1 million deaths to date. Recently developed variants of the SARS-CoV-2 virus have been shown to be more potent and expanded at a faster rate. Until now, there is no specific and effective treatment for SARS-CoV-2 in terms of reliable and sustainable recovery. Precaution, prevention, and vaccinations are the only ways to keep the pandemic situation under control. Medical and scientific professionals are now focusing on the repurposing of previous technology and trying to develop more fruitful methodologies to detect the presence of viruses, treat the patients, precautionary items, and vaccine developments. Nanomedicine or nanobased platforms can play a crucial role in these fronts. Researchers are working on many effective approaches by nanosized particles to combat SARS-CoV-2. The role of a nanobased platform to combat SARS-CoV-2 is extremely diverse (i.e., mark to personal protective suit, rapid diagnostic tool to targeted treatment, and vaccine developments). Although there are many theoretical possibilities of a nanobased platform to combat SARS-CoV-2, until now there is an inadequate number of research targeting SARS-CoV-2 to explore such scenarios. This unique mini-review aims to compile and elaborate on the recent advances of nanobased approaches from prevention, diagnostics, treatment to vaccine developments against SARS-CoV-2, and associated challenges.

Repurposing of Anti-Malarial Drug Quinacrine for Cancer Treatment: A Review

Quinacrine (QC), a synthetic drug belonging to the 9-aminoacridine family, has been used extensively to treat malaria and multiple ailments over the past several decades. Following its discovery in the 1920s and extensive use for the treatment of malaria for nearly two decades, numerous studies have explored its antineoplastic potential in both preclinical and clinical settings. Multiple studies spanning over seven decades have examined a wide range of QC anticancer activities across various types of cancers, along with the underlying mechanisms. Many of these mechanisms, including activation of the p53 signaling cascade and simultaneous NF-κB signaling inhibition, have been reported in various studies, bringing QC to a unique polypharmacological category drug possessing the potential to treat a wide variety of diseases, including cancer. This article summarizes most of the research conducted over several decades to uncover new molecular mechanisms activated or inactivated and directly correlate with antineoplastic activity QC.