In this work, a pH-sensitive liposome-polymer nanoparticle (NP) composed of lipid, hyaluronic acid (HA) and poly(b-amino ester) (PBAE) was prepared using layer-by-layer (LbL) method for doxorubicin (DOX) targeted delivery and controlled release to enhance the cancer treatment efficacy. The NP with pH-sensitivity and targeting effect was successfully prepared by validation of charge reversal and increase of hydrodynamic diameter after each deposition of functional layer. We further showed the DOX-loaded NP had higher drug loading capacity, suitable particle size, spherical morphology, good uniformity, and high serum stability for drug delivery. We confirmed that the drug release profile was triggered by low pH with sustained release manner in vitro. Confocal microscopy research demonstrated that the NP was able to effectively target and deliver DOX into human non-small cell lung carcinoma (A549) cells in comparison to free DOX. Moreover, the blank NP showed negligible cytotoxicity, and the DOX-loaded NP could efficiently induce the apoptosis of A549 cells as well as free DOX. Notably, in vivo experiment results showed that the DOX-loaded NPs effectively inhibited the growth of tumor, enhanced the survival of tumor-bearing mice and improved the therapeutic efficacy with reduced side-effect comparing with free drug. Therefore, the NP could be a potential intelligent anticancer drug delivery carrier for cancer chemotherapy, and the LbL method might be a useful strategy to prepare multi-functional platform for drug delivery.
Lung adenocarcinoma is one of the most common malignant tumors worldwide. Although efforts have been made to clarify its pathology, the underlying molecular mechanisms of lung adenocarcinoma are still not clear. The microarray datasets GSE75037, GSE63459 and GSE32863 were downloaded from the Gene Expression Omnibus (GEO) database to identify biomarkers for effective lung adenocarcinoma diagnosis and therapy. The differentially expressed genes (DEGs) were identified by GEO2R, and function enrichment analyses were conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). The STRING database and Cytoscape software were used to construct and analyze the protein-protein interaction network (PPI). We identified 376 DEGs, consisting of 83 upregulated genes and 293 downregulated genes. Functional and pathway enrichment showed that the DEGs were mainly focused on regulation of cell proliferation, the transforming growth factor β receptor signaling pathway, cell adhesion, biological adhesion, and responses to hormone stimulus. Sixteen hub genes were identified and biological process analysis showed that these 16 hub genes were mainly involved in the M phase, cell cycle phases, the mitotic cell cycle, and nuclear division. We further confirmed the two genes with the highest node degree, DNA topoisomerase IIα (TOP2A) and aurora kinase A (AURKA), in lung adenocarcinoma cell lines and human samples. Both these genes were upregulated and associated with larger tumor size. Upregulation of AURKA in particular, was associated with lymphatic metastasis. In summary, identification of the DEGs and hub genes in our research enables us to elaborate the molecular mechanisms underlying the genesis and progression of lung adenocarcinoma and identify potential targets for the diagnosis and treatment of lung adenocarcinoma.
Edited by Kazuhiro IwaiKeywords: CCDC6 FBXW7 ATM Phosphorylation Lung cancer cell a b s t r a c t CCDC6 is rearranged in approximately 20% of papillary thyroid carcinomas and some lung cancers participating in the formation of PTC1/ret proto-oncogene oncogene. CCDC6 is involved in the cellular response to DNA damage and is stabilized by ATM-mediated phosphorylation at Thr434. However, the E3 ligase that targets CCDC6 for destruction is unknown. Here, we show that FBXW7 interacts with and targets CCDC6 for ubiquitin-mediated proteasomal degradation. Moreover, FBXW7-mediated CCDC6 degradation is impaired in response to DNA damage. Mechanistically, phosphorylation of CCDC6 at Thr434 by ATM during DNA damage response prevents FBXW6-CCDC6 interaction and FBXW7-mediated CCDC6 degradation. Our results suggest that the involvement of FBXW7 in targeting CCDC6 for destruction will be useful for the establishment of new therapeutic approaches for cancer treatment. Structured summary of protein interactions:FBXW7 physically interacts with CCDC6 by anti bait coimmunoprecipitation (View Interaction: 1, 2) FBXW7 physically interacts with CCDC6 and CUL1 by anti tag coimmunoprecipitation (View Interaction: 1, 2) FBXW7 physically interacts with CCDC6 by anti tag coimmunoprecipitation (View Interaction: 1, 2, 3, 4, 5) CCDC6 physically interacts with SKP1 and CUL1 by anti bait coimmunoprecipitation (View interaction) FBXO6 physically interacts with CUL1 by anti tag coimmunoprecipitation (View interaction) FBXW2 physically interacts with CUL1 by anti tag coimmunoprecipitation (View interaction) FBXO4 physically interacts with CUL1 by anti tag coimmunoprecipitation (View interaction)
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