Expression profiling of DNA methyl transferase I (DNMT1) and efficacy of a DNA-hypomethylating agent (decitabine) in combination with chemotherapy in osteosarcoma

Olsalazine pretreatment augments chemosensitivity of gemcitabine in hepatocellular carcinoma

Recently, olsalazine a DNA hypomethylating agent was found to inhibit the growth of breast cancer cells. The present study was carried out to evaluate the effects of olsalazine pretreatment in the potentiation of chemosensitivity of gemcitabine for the treatment of hepatocellular carcinoma (HCC). In silico molecular docking was performed to analyze the interaction of olsalazine and gemcitabine with DNMT1 and DNA, respectively, using the AutoDock tools 1.5.6. Cytotoxicity of olsalazine, gemcitabine, and combination were measured on human HePG2 cells using MTT assay. Antiproliferative effects were assessed using animal model of N-nitrosodiethylamine and carbon tetrachloride-induced HCC. Treatment was initiated from 8th week of induction to 11th week and change in body weight, liver weight, and survival rate were measured. Following treatment, blood samples were collected for estimation serum biochemistry. Blood serum was used for the estimation of inflammatory cytokines tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6), C-reactive protein [CRP], lactate dehydrogenase (LDH), and P53 levels. Oxidative stress markers were measured in liver tissue homogenates. Histopathology and immunohistochemistry (IHC) were performed on liver sections to detect the morphological changes and P53 expression. Docking analysis revealed the interactions between olsalazine and DNMT1 with a binding energy score of -5.34 and gemcitabine and DNA with a binding energy score of -5.93. Olsalazine pretreatment potentiated the antiproliferative effect of gemcitabine in cell line study. In the group receiving olsalazine pretreatment showed significant reductions in relative liver weight and improved survival rate of gemcitabine treatment group. Serum biochemical markers: serum glutamate pyruvate transaminase, serum glutamic oxaloacetic transaminase, alkaline phosphatase, and bilirubin revealed improved liver functions. Olsalazine pretreatment also reduced the levels of inflammatory markers like CRP, LDH, TNF-α, and IL-6 and oxidative stress markers dose dependently. Histopathology and IHC showed improved liver morphology with potentiated the induction of P53 upon olsalazine pretreatment in combination with gemcitabine. In conclusion, sequential combination of olsalazine and gemcitabine improved the treatment outcomes during the progression of HCC.

DNA methylation patterns suggest the involvement of DNMT3B and TET1 in osteosarcoma development

DNA methylation may be involved in the development of osteosarcomas. Osteosarcomas commonly arise during the bone growth and remodeling in puberty, making it plausible to infer the involvement of epigenetic alterations in their development. As a highly studied epigenetic mechanism, we investigated DNA methylation and related genetic variants in 28 primary osteosarcomas aiming to identify deregulated driver alterations. Methylation and genomic data were obtained using the Illumina HM450K beadchips and the TruSight One sequencing panel, respectively. Aberrant DNA methylation was spread throughout the osteosarcomas genomes. We identified 3146 differentially methylated CpGs comparing osteosarcomas and bone tissue samples, with high methylation heterogeneity, global hypomethylation and focal hypermethylation at CpG islands. Differentially methylated regions (DMR) were detected in 585 loci (319 hypomethylated and 266 hypermethylated), mapped to the promoter regions of 350 genes. These DMR genes were enriched for biological processes related to skeletal system morphogenesis, proliferation, inflammatory response, and signal transduction. Both methylation and expression data were validated in independent groups of cases. Six tumor suppressor genes harbored deletions or promoter hypermethylation (DLEC1, GJB2, HIC1, MIR149, PAX6, and WNT5A), and four oncogenes presented gains or hypomethylation (ASPSCR1, NOTCH4, PRDM16, and RUNX3). Our analysis also revealed hypomethylation at 6p22, a region that contains several histone genes. Copy-number changes in DNMT3B (gain) and TET1 (loss), as well as overexpression of DNMT3B in osteosarcomas provide a possible explanation for the observed phenotype of CpG island hypermethylation. While the detected open-sea hypomethylation likely contributes to the well-known osteosarcoma genomic instability, enriched CpG island hypermethylation suggests an underlying mechanism possibly driven by overexpression of DNMT3B likely resulting in silencing of tumor suppressors and DNA repair genes.

Navigating the genomic instability mine field of osteosarcoma to better understand implications of non-coding RNAs

Osteosarcoma is one of the most genomically complex cancers and as result, it has been difficult to assign genomic aberrations that contribute to disease progression and patient outcome consistently across samples. One potential source for correlating osteosarcoma and genomic biomarkers is within the non-coding regions of RNA that are differentially expressed. However, it is unsurprising that a cancer classification that is fraught with genomic instability is likely to have numerous studies correlating non-coding RNA expression and function have been published on the subject. This review undertakes the formidable task of evaluating the published literature of noncoding RNAs in osteosarcoma. This is not the first review on this topic and will certainly not be the last. The review is organized with an introduction into osteosarcoma and the epigenetic control of gene expression before reviewing the molecular function and expression of long non-coding RNAs, circular RNAs, and short non-coding RNAs such as microRNAs, piwi RNAs, and short-interfering RNAs. The review concludes with a review of the literature and how the biology of non-coding RNAs can be used therapeutically to treat cancers, especially osteosarcoma. We conclude that non-coding RNA expression and function in osteosarcoma is equally complex to understanding the expression differences and function of coding RNA and proteins; however, with the added lens of both coding and non-coding genomic sequence, researchers can begin to identify the patterns that consistently associate with aggressive osteosarcoma.

Investigation of Decitabine Effects on HDAC3 and HDAC7 mRNA Expression in NALM-6 and HL-60 Cancer Cell Lines

Background

Decitabine is a potent anticancer hypomethylating agent and changes the gene expression through the gene's promoter demethylation and also independently from DNA demethylation. So, the present study was designed to distinguish whether Decitabine, in addition to inhibitory effects on DNA methyltransferase, can change HDAC3 and HDAC7 mRNA expression in NALM-6 and HL-60 cancer cell lines.

Methods

HL-60, NALM-6, and normal cells were cultured, and the Decitabine treatment dose was obtained (1 µM) through the MTT assay. Finally, HDAC3 and HDAC7 mRNA expression were measured by Real-Time PCR in HL-60 and NALM-6 cancerous cells before and after treatment. Furthermore, HDAC3 and HDAC7 mRNA expression in untreated HL-60 and NALM-6 cancerous cells were compared to normal cells.

Results

Our results revealed that the expression of HDAC3 and HDAC7 in HL-60 and NALM-6 cells increases as compared to normal cells. After treatment of HL-60 and NALM-6 cells with Decitabine, HDAC3, and HDAC7 mRNA expression were decreased significantly.

Conclusion

Our data confirmed that the effects of Decitabine are not limited to direct hypomethylation of DNMTs, but it can indirectly affect other epigenetic factors, such as HDACs activity, through converging pathways.

Osteosarcoma mechanobiology and therapeutic targets

Osteosarcoma (OS) is the one of the most common primary tumors of bone with less than a 20% 5-year survival rate after the development of metastases. OS is highly predisposed in Paget's disease (PD) of bone, and both have common characteristic skeletal features due to rapid bone remodeling. OS prognosis is location dependent which further emphasizes the likely contribution of the bone microenvironment in its pathogenesis. Mechanobiology is the phenomenon when mechanical cues from the changing physical microenvironment of bone are transduced to biological pathways through mechanosensitive cellular components. Mechanobiology-driven therapies have been used for curbing tumor progression by direct alteration of the physical microenvironment or inhibition of metastasis-associated mechanosensitive proteins. This review emphasizes the contribution of mechanobiology to OS progression, and sheds light on current mechanobiology-based therapies and potential new targets for improving disease management. Additionally, the variety of 3D models currently used to study OS mechanobiology are summarized.