Lipid- and Polymer-Based Nanocarrier Platforms for Cancer Vaccine Delivery.

Cancer immunotherapy has gained popularity in recent years in the search for effective treatment modalities for various malignancies, particularly those that are resistant to conventional chemo- and radiation therapy. Cancer vaccines target the cancer-immunity cycle by boosting the patient's own immune system to recognize and kill cancer cells, thus serving as both preventative and curative therapeutic tools. Among the different types of cancer vaccines, those based on nanotechnology have shown great promise in advancing the field of cancer immunotherapy. Lipid-based nanoparticles (NPs) have become the most advanced platforms for cancer vaccine delivery, but polymer-based NPs have also received considerable interest. This Review aims to provide an overview of the nanotechnology-enabled cancer vaccine landscape, focusing on recent advances in lipid- and polymer-based nanovaccines and their hybrid structures and discussing the challenges against the clinical translation of these important nanomedicines.

Doxorubicin-paclitaxel sequential treatment: insights of DNA methylation and gene expression changes of luminal A and triple negative breast cancer cell lines.

Breast cancer is one of the significant causes of death among women diagnosed with cancer worldwide. Even though several chemotherapy combinations are still the primary treatment of breast cancer, unsuccessful treatments, and poor prognostic outcomes are still being reported. DNA methylation and gene expression changes among two breast cancer cell lines representing luminal A (MCF-7) and triple-negative (MDA-MB-231) cancers were determined after sequential combination treatment of doxorubicin and paclitaxel and analyzed using Ingenuity Pathway Analysis. Promoter methylation changes were seen in different treated MCF-7 cells and accompanied by changes in the gene expression of CCNA1 and PTGS2. In MDA-MB-231 cells, the hypomethylation of ESR1 was not accompanied by an increase in its gene expression in any treated cells. The hypomethylation of GSTP1 and MGMT was accompanied by an increase in gene expression levels in the group treated with doxorubicin only. Also, significant downregulation of several genes like MUC1 and MKI67 in MCF-7 cells treated with doxorubicin showed much lower gene expression (- 37.63, - 10.88 folds) when compared with cells treated with paclitaxel (- 2.47, - 2.05 folds) or the combination treatment (- 18.99, - 2.81 folds), respectively. On the other hand, a synergistic effect on MMP9 gene expression was significantly seen in MDA-MB-231 cells treated with the combination (- 9.99 folds) in comparison with the cells treated with doxorubicin (- 3.62 folds) or paclitaxel (1.75 folds) alone. Chemotherapy combinations do not always augment the molecular changes seen in each drug alone, and these changes could be utilized as treatment response markers.

Culturing conditions highly affect DNA methylation and gene expression levels in MCF7 breast cancer cell line.

The levels of DNA methylation and their role in gene expression are key factors that could affect diagnosis, prognosis, and treatment options of different diseases. In this study, the methylation levels of 22 genes that are mostly correlated to breast cancer were determined using EpiTect methyl II PCR array. This analysis was performed to determine the effect of cells' passage number and the use of antibiotics in the culturing media on gene methylation levels in MCF7 cell line. DNA methylation levels of PTGS2, ADAM23, HIC1, and PYCARD were found to be significantly different among different passages. While the DNA methylation levels of CCNA1, RASSF1, and THBS1 were found to be affected by the use of 1% of penicillin/streptomycin in the culture media. Gene expression analysis after demethylation using 5-Aza-2'-deoxycytidine showed that the gene expression levels of the hypermethylated genes varied between different passage numbers. This study shows that the presence of antibiotic within cultured media and cell line's passage number could greatly affect the methylation levels that need to be considered in future studies on cell lines.