Quantitative Methylation Profiles for Multiple Tumor Suppressor Gene Promoters in Salivary Gland Tumors

Methylation profiling of tumor suppressor gene (TSGs) promoters is quickly becoming a powerful diagnostic tool for the early detection, prognosis, and even prediction of clinical response to treatment. Few studies address this in salivary gland tumors (SGTs); hence the promoter methylation profile of various TSGs was quantitatively assessed in primary SGT tissue to determine if tumor-specific alterations could be detected.DNA isolated from 78 tumor and 17 normal parotid gland specimens was assayed for promoter methylation status of 19 TSGs by fluorescence-based, quantitative methylation-specific PCR (qMSP). The data were utilized in a binary fashion as well as quantitatively (using a methylation quotient) allowing for better profiling and interpretation of results..Screening promoter methylation profiles in SGTs showed considerable heterogeneity. The methylation status of certain markers was surprisingly high in even normal salivary tissue, confirming the need for such controls. Several TSGs were found to be associated with malignant SGTs, especially SDC. Further study is needed to evaluate the potential use of these associations in the detection, prognosis, and therapeutic outcome of these rare tumors

Identification of guanine nucleotide-binding protein gamma-7 as an epigenetically silenced gene in head and neck cancer by gene expression profiling

Silencing of tumor suppressor genes plays a vital role in head and neck carcinogenesis. Aberrant hypermethylation in the promoter region of some known or putative tumor suppressor genes occurs frequently during the development of various types of cancer including head and neck squamous cell carcinoma (HNSCC). In this study we used an expanded mRNA expression profiling approach followed by microarray expression analysis to identify epigenetically inactivated genes in HNSCC. Two HNSCC cell lines were treated with 5-aza-2'-deoxycytidine followed by microarray analysis to identify epigenetically silenced genes in HNSCC. We found 1,960, 614 and 427 genes were upregulated in the HNSCC cell lines JHU-012, JHU-011 and the combination of both cell lines, respectively. HNSCC tumor and normal mucosal samples were used for gene profiling by a 47K mRNA gene expression array and we found 7,140 genes were downregulated in HNSCC tumors compared to normal mucosa, as determined by microarray analysis, and were integrated with cell line data. Integrative analysis defined 126 candidate genes, of which only seven genes showed differential methylation in tumors and no methylation in normal mucosa after bisulfite sequencing. Following validation by QMSP, one gene, guanine nucleotide-binding protein gamma-7 (GNG7), was confirmed to be highly methylated in tumors and unmethylated in normal mucosal and salivary rinse samples demonstrating cancer-specific methylation in HNSCC tissues. TXNIP and TUSC2 were partially methylated in tumors and normal salivary rinses but unmethylated in normal mucosa. We concluded that GNG7 is a highly specific promoter methylated gene associated with HNSCC. In addition, TXNIP and TUSC2 are also potential biomarkers for HNSCC

KIF1A and EDNRB are differentially methylated in primary HNSCC and salivary rinses

Silencing of tumor suppressor genes plays a vital role in head and neck carcinogenesis. In this study, we aimed to evaluate to the utility of aberrant promoter hypermethylation for detection in a panel of 10 genes (KIF1A, EDNRB, CDH4, TERT, CD44, NISCH, PAK3, VGF, MAL and FKBP4) in head and neck squamous cell carcinoma (HNSCC) via a candidate gene approach. We investigated methylation of the gene promoters by bisulfite modification and quantitative methylation-specific PCR (Q-MSP) in a preliminary study of a limited cohort of salivary rinses from healthy subjects (n = 61) and patients with HNSCC (n = 33). The methylation status of 2 selected genes (EDNRB and KIF1A) were then analyzed in 15 normal mucosa samples from a healthy population, 101 HNSCC tumors and the corresponding salivary rinses from 71 out of the 101 HNSCC patients were collected before treatment. The promoter regions of CDH4, TERT, VGF, MAL, FKBP4, NISCH and PAK3 were methylated in normal salivary rinses while no methylation of CD44 was observed in either normal salivary rinses or tumor samples. However, KIF1A and EDNRB were methylated in 98 and 97% of primary HNSCC tissues respectively and were only methylated in 2 and 6.6% of normal salivary rinses. In addition, KIF1A and EDNRB were methylated in 38 and 67.6% of salivary rinses from HNSCC patients, respectively. Promoter hypermethylation of KIF1A and EDNRB is a frequent event in primary HNSCC, and these genes are preferentially methylated in salivary rinses from HNSCC patients. KIF1A and EDNRB are potential biomarkers for HNSCC detection

Relationships among primary tumor size, number of involved nodes, and survival for 8044 cases of Merkel cell carcinoma

BackgroundThe effects of primary tumor size on nodal involvement and of number of involved nodes on survival have not, to our knowledge, been examined in a national database of Merkel cell carcinoma (MCC).ObjectiveWe sought to analyze a retrospective cohort of patients with MCC from the largest US national database to assess the relationships between these clinical parameters and survival.MethodsA total of 8044 MCC cases in the National Cancer Data Base were analyzed.ResultsThere was a 14% risk of regional nodal involvement for 0.5-cm tumors that increased to 25% for 1.7-cm (median-sized) tumors and to more than 36% for tumors 6 cm or larger. The number of involved nodes was strongly predictive of survival (0 nodes, 76% 5-year relative survival; 1 node, 50%; 2 nodes, 47%; 3-5 nodes, 42%; and ≥6 nodes, 24%; P < .0001 for trend). Younger and/or male patients were more likely to undergo pathological nodal evaluation.LimitationsThe National Cancer Data Base does not capture disease-specific survival. Hence, relative survival was calculated by comparing overall survival with age- and sex-matched US population data.ConclusionPathologic nodal evaluation should be considered even for patients with small primary MCC tumors. The number of involved nodes is strongly predictive of survival and may help improve prognostic accuracy and management

Methylation by tissue and tumor type.

<p>Overview of the log methylation quotients of normal (N), benign pleomorphic adenoma (PA), and cancerous (CA) salivary gland tumors from the 19 tumor suppressor genes tested.</p

Frequency of positive cases [n (%)] and distribution of Methylation Quotient levels [Mean (range)] in normal parotid tissue, PA, ACC, MEC, and SDC.

<p>*Note: Frequency of positive cases is expressed as number and (%). Distribution of MQ levels is the ratio of the methylation of the gene to β-actin ×1,000.</p

Clinical and pathologic characteristics of patient populations.

<p>PA - Pleomorphic Adenoma, ACC - Adenoid Cystic Carcinoma, MEC - Mucoepidermoid Carcinoma, SDC - Salivary Ductal Carcinoma.</p