CpG hypomethylation of MDR1 gene in tumor and serum of invasive ductal breast carcinoma patients.

OBJECTIVES: Multidrug resistance 1 (MDR1) gene encodes P-glycoprotein (P-gp), a transmembrane calcium-dependent efflux pump, implicated in drug resistance. In this prospective study, methylation status of MDR1 promoter and its correlation with clinicopathological parameters were evaluated in tumor and serum of breast cancer patients. DESIGN AND METHODS: Methylation-specific PCR was carried out to investigate the promoter methylation status of MDR1 in tumor and serum of 100 patients with invasive ductal carcinomas of breast (IDCs). The effect of promoter methylation on protein expression was evaluated by immunohistochemistry. RESULTS: MDR1 was hypomethylated in 47% tumors and 44% paired sera of IDC patients and correlated significantly with increased tumor size and advanced tumor stage. Promoter hypomethylation of MDR1 in serum DNA showed 98% specificity and 50% sensitivity. CONCLUSIONS: Hypomethylation of MDR1 promoter in IDCs accounted for P-gp overexpression and aggressive biologic behavior in a subset of patients. Detection of these epigenetic changes in circulating DNA may not only enhance insight into the biological behavior of the primary tumor of an individual but may also provide valuable information regarding prognosis that can be readily monitored throughout the disease course.

Prognostic relevance of promoter hypermethylation of multiple genes in breast cancer patients.

BACKGROUND: Methylation-mediated suppression of detoxification, DNA repair and tumor suppressor genes has been implicated in cancer development. This study was designed to investigate the impact of concurrent methylation of multiple genes in breast tumors on disease prognosis. METHODS: Methylation specific PCR was carried out to analyze the methylation status of seven genes in archived breast tissues and determine the effect of aberrant methylation of multiple genes on disease prognosis and patients' survival. RESULTS: Promoter hypermethylation was observed in PRB 67%, ERalpha 64%, RASSF1A 63%, p16INK4A 51%, RARbeta2 22%, GSTP1 25% and BRCA1 27% of the breast cancers, respectively. Concurrent methylation of BRCA1, ERalpha, GSTP1 and RARbeta2, was observed in a large proportion of breast cancers analyzed, suggesting that these genes do not appear to be methylated alone. Patients with high methylation indices had poor prognosis (p<0.001, Hazards ratio=14.58). Cox regression analysis showed RARbeta2 promoter methylation to be an independent important determinant of breast cancer prognosis. CONCLUSION: Our results suggest that methylation of multiple genes plays an important role in prognosis of breast cancer. Our study not only describes the association of methylation mediated silencing of multiple genes with the severity of disease, but also drives to speculate the molecular crosstalk between genes or genetic pathways regulated by them individually.

Discovery and verification of head-and-neck cancer biomarkers by differential protein expression analysis using iTRAQ labeling, multidimensional liquid chromatography, and tandem mass spectrometry.

Multidimensional LC-MS/MS has been used for the analysis of biological samples labeled with isobaric mass tags for relative and absolute quantitation (iTRAQ) to identify proteins that are differentially expressed in human head-and-neck squamous cell carcinomas (HNSCCs) in relation to non-cancerous head-and-neck tissues (controls) for cancer biomarker discovery. Fifteen individual samples (cancer and non-cancerous tissues) were compared against a pooled non-cancerous control (prepared by pooling equal amounts of proteins from six non-cancerous tissues) in five sets by on-line and off-line separation. We identified 811 non-redundant proteins in HNSCCs, including structural proteins, signaling components, enzymes, receptors, transcription factors, and chaperones. A panel of proteins showing consistent differential expression in HNSCC relative to the non-cancerous controls was discovered. Some of the proteins include stratifin (14-3-3sigma); YWHAZ (14-3-3zeta); three calcium-binding proteins of the S100 family, S100-A2, S100-A7 (psoriasin), and S100-A11 (calgizarrin); prothymosin alpha (PTHA); L-lactate dehydrogenase A chain; glutathione S-transferase Pi; APC-binding protein EB1; and fascin. Peroxiredoxin2, carbonic anhydrase I, flavin reductase, histone H3, and polybromo-1D (BAF180) were underexpressed in HNSCCs. A panel of the three best performing biomarkers, YWHAZ, stratifin, and S100-A7, achieved a sensitivity of 0.92 and a specificity of 0.91 in discriminating cancerous from non-cancerous head-and-neck tissues. Verification of differential expression of YWHAZ, stratifin, and S100-A7 proteins in clinical samples of HNSCCs and paired and non-paired non-cancerous tissues by immunohistochemistry, immunoblotting, and RT-PCR confirmed their overexpression in head-and-neck cancer. Verification of YWHAZ, stratifin, and S100-A7 in an independent set of HNSCCs achieved a sensitivity of 0.92 and a specificity of 0.87 in discriminating cancerous from non-cancerous head-and-neck tissues, thereby confirming their overexpressions and utility as credible cancer biomarkers.