Evaluation of TET Family Gene Expression and 5-Hydroxymethylcytosine as Potential Epigenetic Markers in Non-small Cell Lung Cancer.

BACKGROUND/AIM: DNA methylation is the most studied epigenetic modification in cancer. Ten-eleven translocation enzymes (TET) catalyze the oxidation of 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC) in the DNA. In the current research, we aimed to evaluate the role of 5-hmC and TET enzymes in non-small cell lung cancer (NSCLC) patients and their possible association with outcomes. PATIENTS AND METHODS: ELISA was used to measure the 5-hmC levels in genomic DNA and qRT-PCR was used to evaluate TET1, TET2, and TET3 mRNAs expression levels in NSCLC tissues and their paired normal controls. RESULTS: The levels of 5-hmC were significantly lower in NSCLC tissues than in normal tissues, with a mean ±SD of 0.28±0.37 vs. 1.84±0.58, respectively (t=22.77, p<0.0001), and this reduction was correlated with adverse clinical features. In addition, all TET genes were significantly down-regulated in NSCLC tissues in comparison to their matched normal tissues. The mean±SD level of TET1-mRNA was 38.48±16.38 in NSCLC vs. 80.65±11.25 in normal tissues (t=21.33, p<0.0001), TET2-mRNA level in NSCLC was 5.25±2.78 vs. 9.52±1.01 in normal tissues (t=14.48, p<0.0001), and TET3-mRNA level in NSCLC was 5.21±2.8 vs. 9.51±0.86 in normal tissues (t=14.75, p<0.0001). Downregulation of TET genes was correlated with poor clinical features. CONCLUSION: 5-HmC levels as well as TET1, TET2, and TET3 mRNA levels were reduced in NSCLC tissues. The reduced levels of 5-hmC and TET mRNAs were associated with adverse clinical features, suggesting that the level of 5-hmC may serve as a valuable prognostic biomarker for NSCLC.

Dual biomarkers long non-coding RNA GAS5 and microRNA-34a co-expression signature in common solid tumors.

Accumulating evidence indicates that non-coding RNAs including microRNAs (miRs) and long non-coding RNAs (lncRNAs) are aberrantly expressed in cancer, providing promising biomarkers for diagnosis, prognosis and/or therapeutic targets. We aimed in the current work to quantify the expression profile of miR-34a and one of its bioinformatically selected partner lncRNA growth arrest-specific 5 (GAS5) in a sample of Egyptian cancer patients, including three prevalent types of cancer in our region; renal cell carcinoma (RCC), glioblastoma (GB), and hepatocellular carcinoma (HCC) as well as to correlate these expression profiles with the available clinicopathological data in an attempt to clarify their roles in cancer. Quantitative real-time polymerase chain reaction analysis was applied. Different bioinformatics databases were searched to confirm the potential miRNAs-lncRNA interactions of the selected ncRNAs in cancer pathogenesis. The tumor suppressor lncRNA GAS5 was significantly under-expressed in the three types of cancer [0.08 (0.006-0.38) in RCC, p <0.001; 0.10 (0.003-0.89) in GB, p < 0.001; and 0.12 (0.015-0.74) in HCC, p < 0.001]. However, levels of miR-34a greatly varied according to the tumor type; it displayed an increased expression in RCC [4.05 (1.003-22.69), p <0.001] and a decreased expression in GB [0.35 (0.04-0.95), p <0.001]. Consistent to the computationally predicted miRNA-lncRNA interaction, negative correlations were observed between levels of GAS5 and miR-34a in RCC samples (r = -0.949, p < 0.001), GB (r = -0.518, p < 0.001) and HCC (r = -0.455, p = 0.013). Kaplan-Meier curve analysis revealed that RCC patients with down-regulated miR-34a levels had significantly poor overall survival than their corresponding (p < 0.05). Hierarchical clustering analysis showed RCC patients could be clustered by GAS5 and miR-34a co-expression profile. Our results suggest potential applicability of GAS5 and miR-34a with other conventional markers for various types of cancer. Further functional validation studies are warranted to confirm miR-34a/GAS5 interplay in cancer.

Longevity-Related Gene Transcriptomic Signature in Glioblastoma Multiforme.

Glioblastoma multiforme (GBM) (grade IV astrocytoma) has been assumed to be the most fatal type of glioma with low survival and high recurrence rates, even after prompt surgical removal and aggressive courses of treatment. Transcriptional reprogramming to stem cell-like state could explain some of the deregulated molecular signatures in GBM disease. The present study aimed to quantify the expression profiling of longevity-related transcriptional factors SOX2, OCT3/4, and NANOG to evaluate their diagnostic and performance values in high-grade gliomas. Forty-four specimens were obtained from glioblastoma patients (10 females and 34 males). Quantitative real-time polymerase chain reaction was applied for relative gene expression quantification. In silico network analysis was executed. NANOG and OCT3/4 mRNA expression levels were significantly downregulated while that of SOX2 was upregulated in cancer compared to noncancer tissues. Receiver operating characteristic curve analysis showed high diagnostic performance of NANOG and OCT3/4 than SOX2. However, the aberrant expressions of the genes studied were not associated with the prognostic variables in the current population. In conclusion, the current study highlighted the aberrant expression of certain longevity-associated transcription factors in glioblastoma multiforme which may direct the attention towards new strategies in the treatment of such lethal disease.