This study aimed to develop a chitosan‑based nano‑delivery system encapsulating the PE38KDEL‑1F12 immunotoxin (NP‑IMX) and to evaluate its biological performance in breast cancer cells. NP‑IMX nanoparticles were synthesized and characterized, followed by in vitro evaluation in EPHA2‑positive MDA‑MB‑231 breast cancer cells and EPHA2‑negative MCF‑10 A normal breast epithelial cells. Cytotoxicity, cellular uptake, apoptosis, cell‑cycle arrest, migration, drug loading and release, and gene expression (VEGF, p21, Bax, and p53) were assessed. In addition, short‑term in vivo toxicity was evaluated in healthy BALB/c mice. NP‑IMX exhibited very high encapsulation efficiency ( 99.9

Immunotoxins are genetically engineered recombinant proteins consisting of a targeting moiety, such as an antibody, and a cytotoxic toxin moiety of microbial origin. Pseudomonas exotoxin A and diphtheria toxin (DT) have been abundantly used in immunotoxins, with the latter applied as the toxin moiety of the FDA-approved drug Denileukin diftitox (ONTAK®). However, the use of immunotoxins provokes an adverse immune response in the host body against the toxin moiety, limiting their efficacy. In silico approaches have received increasing attention in protein engineering. In this study, the epitopes responsible for immunogenicity were identified through multiple platforms. By subtracting conserved and ligand-binding residues, K33, T111, and E112 were identified as common epitopes across all platforms. Substitution analysis evaluated alternative residues regarding their impact on protein stability, considering 19 different amino acid substitutions. Among the mutants explored, the T111A-E112G mutant exhibited the most destabilizing substitution for DT, thereby reducing immunogenicity. Finally, a 3D model of the mutant was generated and verified. The model was then docked with its native ligand NADH, and the complex's molecular behavior was simulated using molecular dynamics.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide. Advanced disease often proves resistant to conventional therapies, thereby driving the intensive search for targeted therapies. Glypican-3 (GPC3), a well-validated, signature tumor antigen in HCC, has emerged as an attractive therapeutic target with high potential for precision oncology. Current research strategies for developing novel GPC3-targeted therapeutics are highly diverse, encompassing cellular immunotherapies (e.g., CAR-T and NK cell therapies), antibody-based agents, immunotoxins, peptide vaccines, gene therapies, and nanoparticle-mediated drug delivery systems. Despite promising preclinical and clinical developments, the clinical translation of GPC3-targeted therapies is limited by challenges such as inadequate tumor penetration, immunosuppressive tumor microenvironment, and heterogeneous antigen expression. Consequently, recent research has increasingly shifted toward combination strategies. A growing body of experimental and early clinical data indicates that GPC3-targeted agents synergize effectively with a broad range of co-treatments, including immune checkpoint inhibitors, antiangiogenics, immune modulators, tyrosine kinase inhibitors, radiotherapy, chemotherapy, and local therapies to enhance antitumoral efficacy. In this review, we examine the potential of these multimodal strategies to develop more effective therapeutic approaches for HCC. Future studies should therefore focus on optimizing these combination regimens by incorporating personalized treatment strategies to achieve durable clinical outcomes.

Purpose: Rheumatoid arthritis (RA) is a type of autoimmune disease that results in chronic inflammation of the joint synovial tissue, leading to joint damage and significant disability. Despite ongoing research, the exact cause of RA remains unclear, and current treatments have limitations. This study explores the potential of utilizing interleukin-1 receptor antagonist (IL-1RA) and anti-inflammatory macrophages polarized in the vicinity of the supernatant from allogeneic mesenchymal stem cells (MSCs) as a novel therapeutic approach for RA. Methods: An expression cassette containing the IL-1RA gene was constructed and expressed in E. coli BL21. The resulting protein was purified and stabilized for use in in vivo experiments. Bone marrow MSCs were isolated and used to produce anti-inflammatory M2 macrophages from the isolated peripheral blood monocytes. The macrophages were then used to treat mice with RA induced by collagen type II. Results: The combination of IL-1RA and M2 macrophages improved clinical and histopathological symptoms of the disease, reduced levels of inflammatory factors, and modulated the immune system in the treated mouse groups. The results showed that this combinatory therapy had a synergistic effect for RA treatment. Conclusion: The simultaneous use of IL-1RA and M2 cells could be a promising approach for the treatment of RA. This combinatory therapy has the potential to improve the disease and decrease the severity of inflammation in patients with RA.

Sine oculis homeobox 4 (SIX4), a critical transcription factor modulating organ development, potentially participates in tumorigenesis through numerous pathways. Here, we investigated siRNA-mediated knockdown effects of SIX4 on pancreatic cancer cells and underlying molecular mechanisms. The expression of SIX4 in pancreatic cancer and adjacent tissues were investigated in clinical tissue samples and bioinformatically approved by gene expression omnibus (GEO) database. Appropriate siRNA transfected into PANC1 pancreatic cancer cells in order to SIX4 knockdown. The survival, migration, invasion, colony formation, mitochondrial membrane potential, apoptosis, autophagy, and cell cycle in the cancer cells were investigated after knockdown of SIX4. In addition, expression of genes involved in apoptosis and metastasis were assessed in the transfected cancer cells in mRNA and protein levels. High-throughput analysis using GEO database confirmed the overexpression of SIX4 in pancreatic cancer tissues by six independent pancreatic cancer microarrays. Knockdown of SIX4 by specific siRNA significantly decreased survival, colony formation, and mitochondrial membrane potential of the cancer cells. Further assessments demonstrated that knockdown of SIX4 increases the apoptosis and autophagy rates in the cancer cells through modifying the expression of related genes. Moreover, a significant decrease in migration and invasion rates were observed in SIX4 suppressed group. Furthermore, frequency of the cells transfected with SIX4 siRNA increased slightly in G1 and Sub-G1 phases of cell cycle. Our study suggested that siRNA-mediated knockdown of SIX4 increases the pancreatic cancer cells death and reduces the invasion and migration of the cancer cells through different molecular pathways.

Immunotoxins are regarded as a type of targeted therapy for killing cells by highly potent bacterial, fungal or plant toxins. Shiga like toxins (SLTs) are a group of bacterial AB5 protein toxins that inhibit host cell protein synthesis through the removal of a single adenine residue from the 28S rRNA and lead to apoptosis. Here, we described the design and usage of a Stx-based immunotoxin that can induce the selective cytotoxicity and apoptosis in Fn-14-positive cells related to the colon and lung cancer. In the present study, the Stx2a-PE15-P4A8 fusion protein was expressed efficiently in E. coli (DE3) system when driven from inclusion bodies by 8 M urea. The Stx2a-PE15-P4A8 fusion protein was expressed efficiently in E. coli (DE3) system and then purified. The purified fusion protein could specifically target Fn-14 receptor existed on colon and lung cancer cell lines and suppress these cells in a dose-dependent manner. In addition, the protein was able to nearly 50 % of apoptotic cell death and maintains about 54 % of its stability after 24 h of incubation in mouse serum at 37 C. Compared to PE38-P4A8 construct in our previous study, these results showed that the Stx2a-PE15-P4A8 construct can be an efficient therapeutic candidate for cancer immunotherapy.

Along with all cancer treatments, including chemotherapy, radiotherapy, and surgery, targeting therapy is a new treatment manner. Immunotoxins are new recombinant structures that kill cancer cells by targeting specific antigens. Immunotoxins are composed of two parts: toxin moiety, which disrupts protein synthesis process, and antigen binding moiety that bind to antigens on the surface of cancer cells. Glypican 3 (GPC3) is an oncofetal antigen on the surface of Hepatocellular carcinoma (HCC) cells. In this study, truncated Diphtheria toxin (DT389) was fused to humanized scFv YP7 by one, two and three repeats of GGGGS linkers (DT389-(GGGGS)1-3YP7). In-silico and experimental investigation were performed to find out how many repeats of linker between toxin and scFv moieties are sufficient. Results of in-silico investigations revealed that the difference in the number of linkers does not have a significant effect on the main structures of the immunotoxin; however, the three-dimensional structure of two repeats of linker had a more appropriate structure compared to others with one and three linker replications. In addition, with enhancing the number of linkers, the probability of protein solubility has increased. Generally, the bioinformatics results of DT389-(GGGGS)2-YP7 structure showed that expression and folding is suitable; and YP7 scFv has appropriate orientation to bind GPC3. The experimental investigations indicated that the fusion protein was expressed as near to 50% soluble. Due to the high binding affinity of YP7 scFv and the proven potency of diphtheria in inhibiting protein synthesis, the proposed DT389-(GGGGS)2-YP7 immunotoxin is expected to function well in inhibiting HCC.

The cytolethal distending toxin (CDT), Haemophilus ducreyi, is one of the bacterial toxins that have recently been considered for targeted therapies, especially in cancer therapies. CDT is an A-B2 exotoxin. Its catalytic subunit (CdtB) is capable of inducing DNA double strand breaks, cell cycle arrest and apoptosis in host eukaryotic cells. The sequence alignment indicates that the CdtB is structurally homologyr to phosphatases and deoxyribonucleases I (DNase I). Recently, it has been found that CdtB toxicity is mainly related to its nuclease activity. The immunogenicity of CDT can reduce its effectiveness in targeted therapies. However, the toxin can be very useful if its immunogenicity is significantly reduced. Detecting hotspot ectopic residues by computational servers and then mutating them to eliminate B-cell epitopes is a promising approach to reduce the immunogenicity of foreign protein-based therapeutics. By the mentioned method, in this study, we try to reduce the immunogenicity of the CdtB- protein sequence. This study initially screened residue of the CdtB is B-cell epitopes both linearly and conformationally. By overlapping the B-cell epitopes with the excluded conserve residues, and active and enzymatic sites, four residues were allowed to be mutated. There were two mutein options that show reduced antigenicity probability. Option one was N19F, G74I, and S161F with a VaxiJen score of 0.45 and the immune epitope database (IEDB) score of 1.80, and option two was N19F, G74I, and S161W with a VaxiJen score of 0.45 and IEDB score of 1.88. The 3D structure of the proposed sequences was evaluated and refined. The structural stability of native and mutant proteins was accessed through molecular dynamic simulation. The results showed that the mutations in the mutants caused no considerable changes in their structural stability. However, mutant 1 reveals more thermodynamic stability during the simulation. The applied approaches in this study can be used as rough guidelines for finding hot spot immunogen regions in the therapeutic proteins. Our results provide a new version of CdtB that, due to reduced immunogenicity and increased stability, can be used in toxin-based drugs such as immunotoxins.

Over the past few years, hundreds of genes have been reported in relation to lung cancer. Systems biology studies can help validate this association and find the most valid genes to use in the diagnosis and treatment. We reviewed the candidate genes for lung cancer in 120 published articles from September 1, 1993, to September 1, 2020. We obtained 134 up- and 36 downregulated genes for lung cancer in this article. The genes extracted from the articles were imported to Search Tool for the Retrieval of Interacting genes/proteins (STRING) to construct the protein–protein interaction (PPI) Network and pathway enrichment. GO ontology and Reactome databases were used for describing the genes, average length of survival, and constructing networks. Then, the ClusterONE plugin of Cytoscape software was used to analyze and cluster networks. Hubs and bottleneck nodes were defined based on their degree and betweenness. Common genes between the ClusterONE plugin and network analysis consisted of seven genes (BRCA1-TP53-CASP3-PLK1-VEGFA-MDM2-CCNB1 and PLK1), and two genes (PLK1 and TYMS) were selected as survival factors. Our drug–gene network showed that CASP3, BRCA1, TP53, VEGFA, and MDM2 are common genes that are involved in this network. Also, among the drugs recognized in the drug–gene network, five drugs such as paclitaxel, oxaliplatin, carboplatin, irinotecan, and cisplatin were examined in different studies. It seems that these seven genes, with further studies and confirmatory tests, could be potential markers for lung cancer, especially PLK1 that has a significant effect on the survival of patients. We provide the novel genes into the pathogenesis of lung cancer, and we introduced new potential biomarkers for this malignancy.