The objective of this study was to evaluate the possibility of using GE11-polyethylene glycol-polyethylenimine (GE11-PEG-PEI) for targeted gene delivery to treat epidermal growth factor receptor (EGFR)-overexpressing laryngeal cancer. This study described the design, characterization, and in vitro and in vivo study of the nanocarrier GE11-PEG-PEI for gene delivery to treat laryngeal cancer. Analysis of the sizes and zeta potentials indicated that the formation of PEGylated complexes was dependent on the N/P ratio, and these complexes were capable of binding plasmid DNA and condensing DNA into small positively charged nanoparticles. The results also revealed that GE11-PEG-PEI had a weaker effect on cell survival in vitro. Gene transfection was performed on human laryngeal cancer Hep-2 cells in vitro and in vivo. Both the in vitro and in vivo results demonstrated that GE11-PEG-PEI had greater transfection efficiency than mPEG-PEI. Compared with mPEG-PEI/pORF-hTRAIL and saline, GE11-PEG-PEI/pORFh-TRAIL significantly (p < 0.05) reduced tumor growth in nude mice with laryngeal cancer. Moreover, the GE11-PEG-PEI/pORF-hTRAIL-treated groups showed more apoptosis than the mPEG-PEI/pORF-hTRAIL-treated groups. Therefore, our results showed that the peptide GE11 conjugated to PEG-PEI delivered significantly more genes to EGFR-overexpressing laryngeal cancer cells in vivo, indicating that GE11-PEG-PEI may be a suitable gene vector for treating EGFR-overexpressing laryngeal cancer.

Peptide-mediated targeting of tumors has become an effective strategy for cancer therapy. Retro-inverso peptides resist protease degradation and maintain their bioactivity. We used the retro-inverso peptide D(PRPSPKMGVSVS) (D-SP5) as a targeting ligand to develop gene therapy for gastric adenocarcinoma. D-SP5 has a higher affinity for human gastric adenocarcinoma (SGC7901) cells compared with that of its parental peptide, L(SVSVGMKPSPRP) (L-SP5). Polyethylenimine (PEI)/pDNA, polyethylene glycol (mPEG)-PEI/pDNA and D-SP5-PEG-PEI/pDNA were prepared for further study. Quantitative luciferase assays showed the transfection efficiency of D-SP5-PEG-PEI/pGL(4.2) was larger compared with that of mPEG-PEI/pGL(4.2). Flow cytometry assays revealed that the apoptosis rates of SGC7901 cells treated with D-SP5-PEG-PEI/pTRAIL were larger than mPEG-PEI/pTRAIL. Western blot assays indicated that the expression of tumor necrosis factor-related apoptosis inducing ligand (TRAIL) protein in SGC7901 cells treated with D-SP5-PEG-PEI/pTRAIL was higher compared with that in cells treated with mPEG-PEI/pTRAIL. In vivo pharmacodynamics study revealed that D-SP5-PEG-PEI/pTRAIL could inhibit the growth of gastric adenocarcinoma SGC7901 xenografts in nude mice. Our results demonstrate that D-SP5-PEG-PEI is a safe and efficient gene delivery vector with potential applications in antitumor gene therapy.

The objective of this study was to evaluate the potential of using polymeric micelles modified with a peptide (termed GE11) ligand of epidermal growth factor receptor as the targeted carriers to achieve increased accumulation in laryngeal cancer and enhanced intracellular delivery for the encapsulated anticancer drugs. Poly (ethylene glycol)-distearoylphosphatidylethanolamine (PEG-DSPE) micelles containing paclitaxel were prepared via film-hydration method followed by investigation of in vitro release of paclitaxel in phosphate-buffered saline. The average size of GE11-PEG-DSPE/paclitaxel micelle and mPEG-DSPE/paclitaxel were 35 ± 2.8 nm [the polydispersity index (PDI) ¼ 0.207] and 28 ± 2.1 nm (PDI ¼ 0.154), respectively. Micelles with or without GE11-modified had similar physicochemical properties. Transmission electron microscopy showed that the micelles were homogeneous and spherical in shape. Encapsulation efficiency and drug loading of the micelle were 74.11 ± 3.89% and 3.58 ± 2.82%, respectively. The in vitro targeting characteristic of GE11-modified micelles was investigated by observing the level of cellular uptake of fluorescent coumarin-6-loaded micelles on EGFR overexpressed human laryngeal cancer cell line Hep-2 and EGFR low-expressed human leukemic cell line U-937. Hep-2 cell proliferation was significantly inhibited by GE11-PEG-DSPE/paclitaxel micelle compared to mPEG-DSPE/paclitaxel micelle and Taxol in vitro. Our results suggested that GE11-PEG-DSPE micelle could be a promising strategy for enhancing paclitaxel's chemotherapeutic effects on EGFR over-expressed cancer cells.

Background:Laryngeal squamous cell carcinoma (LSCC) is a common tumor type. High recurrence rates remain an important factor affecting the survival and quality of life of advanced LSCC patients. Objective:We aimed to build a new nomogram and a random survival forest model using machine learning to predict the risk of LSCC progress. Material and Methods: The study included 671 patients with AJCC stages III–IV LSCC. To develop a prognostic model, Cox regression analyses were used to assess the relationship between clinic-pathologic factors and disease-free survival (DFS). RSF analysis was also used to predict the DFS of LSCC patients. Results:The ROC curve revealed that the Cox model exhibited good sensitivity and specificity in predicting DFS in the training and validation cohorts (one year, validation AUC = 0.679, training AUC = 0.693; three years, validation AUC = 0.716, training AUC = 0.655; five years, validation AUC = 0.717, training AUC = 0.659). Random survival forest analysis showed that N stage, clinical stage, and postoperative chemoradiotherapy were prognostically significant variables associated with survival. Conclusions: The random forest model exhibited better prediction ability than the Cox regression model in the training cohort; however, the two models showed similar prediction ability in the validation cohort.

Background: Head and neck squamous cell carcinoma (HNSCC) was the seventh most common cancer worldwide in 2018. Lymphatic metastasis (LM) is closely related to HNSCC prognosis and recurrence. However, the underlying mechanism of LM remains unclear. Therefore, this study aimed to identify the key genes in the LM of HNSCC. Methods: We used The Cancer Genome Atlas (TCGA) to identify differentially expressed genes (DEGs) between LM and non-LM cases. A random forest model, the Search Tool for the Retrieval of Interacting Genes, Cytoscape, and cytoHubba were used to identify hub genes among DEGs, including KRT20 (Cytokeratins 20). We analyzed the survival of KRT20 in TCGA, and we overexpressed KRT20 in HNSCC cell lines to investigate its effects on migration and invasion. We also correlated the expression of KRT20 in HNSCC tissue microarrays with survival and clinicopathological features. Results: We identified 243 DEGs—143 upregulated genes and 100 downregulated genes. Further analysis revealed that KRT20 is a potential key gene associated with LM and overall survival rates among patients with HNSCC. Overexpression of KRT20 increased the migration and invasion ability of HNSCC cell lines Tu686 and FD-LSC-1. Tissue microarray studies demonstrated an overexpression of KRT20 among N1+ patients (including N1-N3 patients). Survival analysis results and the clinicopathological features of HNSCC tissue microarrays were consistent with our analysis of TCGA. Thus, a high KRT20 expression level might suggest an adverse HNSCC prognosis. Our gene set enrichment analysis showed that KRT20 participates in many metabolic pathways, including those related to tumorigenesis and cancer development. Conclusions: We propose that KRT20 may be a key gene in HNSCC with LM.