Chrysotile fibers in tissue adjacent to laryngeal squamous cell carcinoma in cases with a history of occupational asbestos exposure.

Asbestos describes a group of naturally occurring fibrous silicate mineral compounds that have been associated with a number of respiratory maladies, including mesothelioma and lung cancer. In addition, based primarily on epidemiologic studies, asbestos has been implicated as a risk factor for laryngeal and pharyngeal squamous cell carcinoma (SCC). The main objective of this work was to strengthen existing evidence via empirical demonstration of persistent asbestos fibers embedded in the tissue surrounding laryngeal and pharyngeal SCC, thus providing a more definitive biological link between exposure and disease. Six human papillomavirus (HPV)-negative laryngeal (n = 4) and pharyngeal (n = 2) SCC cases with a history working in an asbestos-exposed occupation were selected from a large population-based case-control study of head and neck cancer. A laryngeal SCC case with no history of occupational asbestos exposure was included as a control. Tissue cores were obtained from adjacent nonneoplastic tissue in tumor blocks from the initial primary tumor resection, and mineral fiber analysis was performed using a scanning electron microscope equipped with an energy dispersive X-ray analyzer (EDXA). Chrysotile asbestos fiber bundles were identified in 3/6 of evaluated cases with a history of occupational asbestos exposure. All three cases had tumors originating in the larynx. In addition, a wollastonite fiber of unclear significance was identified one of the HPV-negative pharyngeal SCC cases. No mineral fibers were identified in adjacent tissue of the case without occupational exposure. The presence of asbestos fibers in the epithelial tissue surrounding laryngeal SCC in cases with a history of occupational asbestos exposure adds a key line of physical evidence implicating asbestos as an etiologic factor.

Firefighter occupation is associated with increased risk for laryngeal and hypopharyngeal squamous cell carcinoma among men from the Greater Boston area.

OBJECTIVE: Firefighters are exposed to a wide variety of carcinogens during the line of duty, including several associated with head and neck cancer. Existing studies assessing head and neck cancer risk with firefighting have predominately included occupational cohorts or registry data, which are limited by inability to adjust for smoking and alcohol consumption-major risk factors for head and neck cancer. Our objective was to assess the risk of head and neck cancer among men with an occupational history as a firefighter. METHODS: This work was conducted using male subjects from a large population-based case-control study of head and neck cancer from the greater Boston area using self-reported occupational history (718 cases and 905 controls). RESULTS: An occupational history as a firefighter was reported for 11 cases and 14 controls. Although no significant association was observed overall, we observed substantial increased risk for hypopharyngeal and laryngeal squamous cell carcinoma among professional municipal firefighters who had a light or no smoking history (OR=8.06, 95% CI 1.74 to 37.41), with significantly increasing risk per decade as a firefighter (OR=2.10, 95% CI 1.06 to 4.14). CONCLUSION: Professional municipal firefighters may be at increased risk for hypopharyngeal and laryngeal squamous cell carcinoma due to carcinogenic exposures encountered during the line of duty.

Genome-scale identification of microRNA-related SNPs associated with risk of head and neck squamous cell carcinoma.

Polymorphisms in microRNAs and their target sites can disrupt microRNA-dependent gene regulation, and have been associated with cancer susceptibility. However, genome-scale analyses of microRNA-related genetic variation in cancer are lacking. We tested the associations of ~40 000 common [minor allele frequency (MAF) ≥5%], microRNA-related single nucleotide polymorphisms (miR-SNPs), with risk of head and neck squamous cell carcinoma (HNSCC) in a discovery population, and validated selected loci in an independent population among a total of 2198 cases and 2180 controls. Joint analyses across the discovery and validation populations revealed six novel miR-SNP associations with risk of HNSCC. An upstream variant of MIR548H4 (rs7834169), replicated its association with overall HNSCC risk as well as risk of oral cavity cancer. Four other variants were specifically associated with oral cavity cancer risk (rs16914640, rs1134367, rs7306991 and rs1373756). 3'UTR variant of HADH, rs221347 and rs4975616, located within known cancer risk locus 5p15.33, were specific to risk of laryngeal cancer. High confidence predicted microRNA binding sites were identified for CLEC2D, LOC37443, KDM8 and HADH overlapping rs16914640, rs7306991, rs1134367 and rs221347, respectively. Furthermore, we identified several microRNA interactions with KDM8 and HADH predicted to be disrupted by genetic variation at rs1134367 and rs221347. These results suggest microRNA-related genetic variation may contribute to the genetic susceptibility of HNSCC, and that more powerful evaluation of this class of genetic variation and their relationship with cancer risk is warranted.

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).

BACKGROUND: Confounding due to cellular heterogeneity represents one of the foremost challenges currently facing Epigenome-Wide Association Studies (EWAS). Statistical methods leveraging the tissue-specificity of DNA methylation for deconvoluting the cellular mixture of heterogenous biospecimens offer a promising solution, however the performance of such methods depends entirely on the library of methylation markers being used for deconvolution. Here, we introduce a novel algorithm for Identifying Optimal Libraries (IDOL) that dynamically scans a candidate set of cell-specific methylation markers to find libraries that optimize the accuracy of cell fraction estimates obtained from cell mixture deconvolution. RESULTS: Application of IDOL to training set consisting of samples with both whole-blood DNA methylation data (Illumina HumanMethylation450 BeadArray (HM450)) and flow cytometry measurements of cell composition revealed an optimized library comprised of 300 CpG sites. When compared existing libraries, the library identified by IDOL demonstrated significantly better overall discrimination of the entire immune cell landscape (p = 0.038), and resulted in improved discrimination of 14 out of the 15 pairs of leukocyte subtypes. Estimates of cell composition across the samples in the training set using the IDOL library were highly correlated with their respective flow cytometry measurements, with all cell-specific R (2)>0.99 and root mean square errors (RMSEs) ranging from [0.97 % to 1.33 %] across leukocyte subtypes. Independent validation of the optimized IDOL library using two additional HM450 data sets showed similarly strong prediction performance, with all cell-specific R (2)>0.90 and R M S E<4.00 %. In simulation studies, adjustments for cell composition using the IDOL library resulted in uniformly lower false positive rates compared to competing libraries, while also demonstrating an improved capacity to explain epigenome-wide variation in DNA methylation within two large publicly available HM450 data sets. CONCLUSIONS: Despite consisting of half as many CpGs compared to existing libraries for whole blood mixture deconvolution, the optimized IDOL library identified herein resulted in outstanding prediction performance across all considered data sets and demonstrated potential to improve the operating characteristics of EWAS involving adjustments for cell distribution. In addition to providing the EWAS community with an optimized library for whole blood mixture deconvolution, our work establishes a systematic and generalizable framework for the assembly of libraries that improve the accuracy of cell mixture deconvolution.

Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data.

DNA methylation (DNAm)-based cell mixture deconvolution (CMD) has become a quintessential part of epigenome-wide association studies where DNAm is profiled in heterogeneous tissue types. Despite being introduced over a decade ago, detection limits, which represent the smallest fraction of a cell type in a mixed biospecimen that can be reliably detected, have yet to be determined in the context of DNAm-based CMD. Moreover, there has been little attention given to approaches for quantifying the uncertainty associated with DNAm-based CMD. Here, analytical frameworks for determining both cell-specific limits of detection and quantification of uncertainty associated with DNAm-based CMD are described. This work may contribute to improved rigor, reproducibility and replicability of epigenome-wide association studies involving CMD.

Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.

DNA methylation microarrays can be employed to interrogate cell-type composition in complex tissues. Here, we expand reference-based deconvolution of blood DNA methylation to include 12 leukocyte subtypes (neutrophils, eosinophils, basophils, monocytes, naïve and memory B cells, naïve and memory CD4 + and CD8 + T cells, natural killer, and T regulatory cells). Including derived variables, our method provides 56 immune profile variables. The IDOL (IDentifying Optimal Libraries) algorithm was used to identify libraries for deconvolution of DNA methylation data for current and previous platforms. The accuracy of deconvolution estimates obtained using our enhanced libraries was validated using artificial mixtures and whole-blood DNA methylation with known cellular composition from flow cytometry. We applied our libraries to deconvolve cancer, aging, and autoimmune disease datasets. In conclusion, these libraries enable a detailed representation of immune-cell profiles in blood using only DNA and facilitate a standardized, thorough investigation of immune profiles in human health and disease.

A core of differentially methylated CpG loci in gMDSCs isolated from neonatal and adult sources.

BACKGROUND: Myeloid-derived suppressor cells (MDSCs), which include monocytic (mMDSCs) and granulocytic (gMDSCs) cells, are an immunosuppressive, heterogeneous population of cells upregulated in cancer and other pathologic conditions, in addition to normal conditions of stress. The origin of MDSCs is debated, and the regulatory pattern responsible for gMDSC differentiation remains unknown. Since DNA methylation (DNAm) contributes to lineage differentiation, we have investigated whether it contributes to the acquisition of the gMDSC phenotype. RESULTS: Using the Illumina EPIC array to measure DNAm of gMDSCs and neutrophils from diverse neonatal and adult blood sources, we found 189 differentially methylated CpGs between gMDSCs and neutrophils with a core of ten differentially methylated CpGs that were consistent across both sources of cells. Genes associated with these loci that are involved in immune responses include VCL, FATS, YAP1, KREMEN2, UBTF, MCC-1, and EFCC1. In two cancer patient groups that reflected those used to develop the methylation markers (head and neck squamous cell carcinoma (HNSCC) and glioma), all of the CpG loci were differentially methylated, reaching statistical significance in glioma cases and controls, while one was significantly different in the smaller HNSCC group. CONCLUSIONS: Our findings indicate that gMDSCs have a core of distinct DNAm alterations, informing future research on gMDSC differentiation and function.

MicroRNA-Related Genetic Variants Associated with Survival of Head and Neck Squamous Cell Carcinoma.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is commonly diagnosed at an advanced stage, and prognosis for such patients is poor. There remains a gap in our understanding of genetic variants related with HNSCC prognosis. miRNA-related single nucleotide polymorphisms (miR-SNPs) are a class of genetic variants with gene-regulatory potential. METHODS: We used a genome-scale approach and independent patient populations in a two-stage approach to test 40,286 common miR-SNPs for association with HNSCC survival in the discovery population (n = 847), and selected the strongest associations for replication in validation phase cases (n = 1,236). Furthermore, we leveraged miRNA interaction databases and miRNA expression data from The Cancer Genome Atlas, to provide functional insight for the identified and replicated associations. RESULTS: Joint population analyses identified novel miR-SNPs associated with overall survival in oral and laryngeal cancers. rs1816158, located within long noncoding RNA MIR100HG, was associated with overall survival in oral cavity cancer (HR, 1.56; 95% confidence interval (CI), 1.21-2.00). In addition, expression of MIR100HG-embedded miRNA, miR-100, was significantly associated with overall survival in an independent cohort of HNSCC cases (HR, 1.25; 95% CI, 1.06-1.49). A SNP in the 3'UTR of SH3BP4 (rs56161233) that overlaps predicted miRNA-binding sites and is predicted to disrupt several miRNA-mRNA interactions was associated with overall survival of laryngeal cancer (HR, 2.57; 95% CI, 1.71-3.86). CONCLUSIONS: This work reveals novel miR-SNPs associated with HNSCC survival, and utilizes miRNA-mRNA interaction and expression data to provide functional support for these associations. IMPACT: These findings extend our understanding of how genetic variation contributes to HNSCC survival, and may contribute to future prognostic models for improved risk stratification.

An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.

Genome-wide methylation arrays are powerful tools for assessing cell composition of complex mixtures. We compare three approaches to select reference libraries for deconvoluting neutrophil, monocyte, B-lymphocyte, natural killer, and CD4+ and CD8+ T-cell fractions based on blood-derived DNA methylation signatures assayed using the Illumina HumanMethylationEPIC array. The IDOL algorithm identifies a library of 450 CpGs, resulting in an average R2 = 99.2 across cell types when applied to EPIC methylation data collected on artificial mixtures constructed from the above cell types. Of the 450 CpGs, 69% are unique to EPIC. This library has the potential to reduce unintended technical differences across array platforms.

CpG island methylation profile in non-invasive oral rinse samples is predictive of oral and pharyngeal carcinoma.

BACKGROUND: There are currently no screening tests in routine use for oral and pharyngeal cancer beyond visual inspection and palpation, which are provided on an opportunistic basis, indicating a need for development of novel methods for early detection, particularly in high-risk populations. We sought to address this need through comprehensive interrogation of CpG island methylation in oral rinse samples. METHODS: We used the Infinium HumanMethylation450 BeadArray to interrogate DNA methylation in oral rinse samples collected from 154 patients with incident oral or pharyngeal carcinoma prior to treatment and 72 cancer-free control subjects. Subjects were randomly allocated to either a training or a testing set. For each subject, average methylation was calculated for each CpG island represented on the array. We applied a semi-supervised recursively partitioned mixture model to the CpG island methylation data to identify a classifier for prediction of case status in the training set. We then applied the resultant classifier to the testing set for validation and to assess the predictive accuracy. RESULTS: We identified a methylation classifier comprised of 22 CpG islands, which predicted oral and pharyngeal carcinoma with a high degree of accuracy (AUC = 0.92, 95 % CI 0.86, 0.98). CONCLUSIONS: This novel methylation panel is a strong predictor of oral and pharyngeal carcinoma case status in oral rinse samples and may have utility in early detection and post-treatment follow-up.

A HECT E3 ubiquitin-protein ligase with sequence similarity to E6AP does not target p53 for degradation in the softshell clam (Mya arenaria).

Numerous reports have raised the level of national concern that chemicals found in the environment may have adverse effects on the health of humans and wildlife. Environmental exposure to pollutants, such as dioxin, has been implicated in gonadal tumor formation in Maine softshell clams (Mya arenaria). Prevalence of these tumors is as high as 40% in some populations. Although their etiology is still unknown, investigations into the mechanisms of tumor formation have revolved around a hypothesis of dioxin-induced toxicity. The aryl hydrocarbon receptor (AHR) was initially investigated, but was later determined to not bind the prototypical ligand, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), suggesting that dioxin toxicity is mediated through an AHR-independent pathway. An alternative mechanism of tumor formation has been investigated, involving a protein with significant sequence similarity to mammalian E6AP, a HECT (homologous to E6AP carboxy terminus) E3 ubiquitin-protein ligase. E6AP, in association with the high-risk human papillomavirus (HPV) E6 protein, is involved in the abnormal degradation of the p53 tumor suppressor protein in human cervical cancer. Tumorigenic clam reproductive tissue revealed higher M. arenaria E3 (MaE3) protein levels concomitant with lower M. arenaria p53 (Map53) levels. While the function of MaE3 as a HECT E3 was verified, results from three methods agree that MaE3 does not associate with Map53. However, alteration in Map53 levels may still play a role in clam gonadal tumorigenesis. Due to upregulation of MaE3 in neoplastic reproductive tissue, further investigations will focus on determining the proteolytic targets of MaE3. In conjunction with our previous findings that dioxin toxicity in the softshell clam is not mediated by AHR, the results from our current investigation suggest a complex etiology for the clam germinomas.

Novel DNA methylation targets in oral rinse samples predict survival of patients with oral squamous cell carcinoma.

OBJECTIVES: The objective of this study was to identify novel survival-associated biomarkers in oral rinse samples collected from patients with oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS: We screened for putative survival-associated markers using publicly available methylation array data from 88 OSCC tumors. Cox models were then fit to methylation array data restricted to these putative loci in oral rinse samples of 82 OSCC patients from greater Boston. Pyrosequencing assays were designed for each locus that replicated in the oral rinse samples and applied to a validation set of oral rinse samples from another 61 OSCC patients. RESULTS: We identified 7 survival-associated methylation markers in oral rinse samples from OSCC patients, and have validated one, located in the body of GABBR1, by pyrosequencing. CONCLUSION: The 7 CpG loci identified through this study represent novel prognostic biomarkers for patients with OSCC that can be detected using a non-invasive oral rinse collection technique.

Associations between serum perfluoroalkyl acids and LINE-1 DNA methylation.

Perfluoroalkyl acids (PFAAs) are persistent, synthetic compounds that are used in a number of consumer products. Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) have been associated with cardiovascular risk factors, and changes in gene expression and DNA methylation in animals and cellular systems. However, whether PFAA exposure is associated with LINE-1 DNA methylation, a potential marker of cardiovascular risk, in humans remains unknown. We sought to evaluate the cross-sectional associations between serum PFAAs and LINE-1 DNA methylation in a population highly exposed to PFOA. We measured serum PFAAs twice four to five years apart in 685 adult participants (47% male, mean age±SD=42±11years). We measured percent LINE-1 DNA methylation in peripheral blood leukocytes at the second time point (follow-up), and estimated absolute differences in LINE-1 methylation associated with an interquartile (IQR) shift in mean PFAA serum levels. IQR increases in mean serum PFOA, PFOS, perfluorononanoic acid (PFNA), and perfluorohexane sulfonate (PFHxS) were associated with differences of -0.04 (p=0.16), 0.20 (p=0.001), 0.06 (p=0.19), and 0.02 (p=0.57), respectively, in % LINE-1 methylation at follow-up after adjustment for potential confounders. We observed a monotonic increase in LINE-1 DNA methylation across tertiles of PFOS and PFNA (ptrend=0.02 for both associations), but not across tertiles of PFOA or PFHxS (ptrend=0.71 and 0.44, respectively). In summary, serum PFOS was associated with LINE-1 methylation, while serum PFOA, PFHxS, and PFNA were not. Additional research is needed to more precisely determine whether these compounds are epigenetically active.

Decreased NK cells in patients with head and neck cancer determined in archival DNA.

PURPOSE: Natural killer (NK) cells are a key element of the innate immune system implicated in human cancer. To examine NK cell levels in archived bloods from a study of human head and neck squamous cell carcinoma (HNSCC), a new DNA-based quantification method was developed. EXPERIMENTAL DESIGN: NK cell-specific DNA methylation was identified by analyzing DNA methylation and mRNA array data from purified blood leukocyte subtypes (NK, T, B, monocytes, granulocytes), and confirmed via pyrosequencing and quantitative methylation specific PCR (qMSP). NK cell levels in archived whole blood DNA from 122 HNSCC patients and 122 controls were assessed by qMSP. RESULTS: Pyrosequencing and qMSP confirmed that a demethylated DNA region in NKp46 distinguishes NK cells from other leukocytes, and serves as a quantitative NK cell marker. Demethylation of NKp46 was significantly lower in HNSCC patient bloods compared with controls (P < 0.001). Individuals in the lowest NK tertile had over 5-fold risk of being a HNSCC case, controlling for age, gender, HPV16 status, cigarette smoking, alcohol consumption, and BMI (OR = 5.6, 95% CI, 2.0 to 17.4). Cases did not show differences in NKp46 demethylation based on tumor site or stage. CONCLUSIONS: The results of this study indicate a significant depression in NK cells in HNSCC patients that is unrelated to exposures associated with the disease. DNA methylation biomarkers of NK cells represent an alternative to conventional flow cytometry that can be applied in a wide variety of clinical and epidemiologic settings including archival blood specimens.

Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: an epigenome-wide association study.

Head and neck cancer accounts for an estimated 47,560 new cases and 11,480 deaths annually in the United States, the majority of which are squamous cell carcinomas (HNSCC). The overall 5 year survival is approximately 60% and declines with increasing stage at diagnosis, indicating a need for non-invasive tests that facilitate the detection of early disease. DNA methylation is a stable epigenetic modification that is amenable to measurement and readily available in peripheral blood. We used a semi-supervised recursively partitioned mixture model (SS-RPMM) approach to identify novel blood DNA methylation markers of HNSCC using genome-wide methylation array data for peripheral blood samples from 92 HNSCC cases and 92 cancer-free control subjects. To assess the performance of the resultant markers, we constructed receiver operating characteristic (ROC) curves and calculated the corresponding area under the curve (AUC). Cases and controls were best differentiated by a methylation profile of six CpG loci (associated with FGD4, SERPINF1, WDR39, IL27, HYAL2 and PLEKHA6), with an AUC of 0.73 (95% CI: 0.62-0.82). After adjustment for subject age, gender, smoking, alcohol consumption and HPV16 serostatus, the AUC increased to 0.85 (95% CI: 0.76-0.92). We have identified a novel blood-based methylation profile that is indicative of HNSCC with a high degree of accuracy. This profile demonstrates the potential of DNA methylation measured in blood for development of non-invasive applications for detection of head and neck cancer.

LINE-1 DNA methylation, smoking and risk of Parkinson's disease.

BACKGROUND: Long interspersed nucleotide element-1 (LINE-1) retrotransposons are located throughout the human genome. Those retaining an intact 5' promoter can copy and insert themselves into the DNA of neural progenitor cells that express tyrosine hydroxylase, which may influence differentiation and survival of these cells. LINE-1 promoter methylation is associated with decreased LINE-1 propagation. OBJECTIVE: To investigate whether LINE-1 promoter methylation is associated with Parkinson's disease (PD). METHODS: We compared LINE-1 methylation profiles in blood mononuclear cells between 292 newly diagnosed PD cases and 401 unrelated, neurologically normal controls, all non-Hispanic Caucasians in western Washington state. RESULTS: Overall, PD was not associated with percent methylation of the LINE-1 promoter. However, the predictable inverse association between PD and ever smoking tobacco was strongest for men and women with the lowest LINE-1 promoter methylation, and less apparent as LINE-1 methylation increased. Underlying this possible interaction, ever regularly smoking tobacco was associated with decreased LINE-1 methylation in controls (age- and sex-adjusted linear regression ß = -0.24, 95% confidence interval [CI] -0.43, -0.04), but not in cases (ß = 0.06, 95% CI -0.17, 0.28, interaction p = 0.06). CONCLUSION: PD cases may have innate differences in their ability to respond to tobacco smoke.

Identification of an epigenetic profile classifier that is associated with survival in head and neck cancer.

Panels of prognostic biomarkers selected using candidate approaches often do not validate in independent populations, so additional strategies are needed to identify reliable classifiers. In this study, we used an array-based approach to measure DNA methylation and applied a novel method for grouping CpG dinucleotides according to well-characterized genomic sequence features. A hypermethylation profile among 13 CpG loci, characterized by polycomb group target genes, mammalian interspersed repeats, and transcription factor-binding sites (PcG/MIR/TFBS), was associated with reduced survival (HR, 3.98; P = 0.001) in patients with head and neck squamous cell carcinoma. This association was driven by CpGs associated with the TAP1 and ALDH3A1 genes, findings that were validated in an independent patient group (HR, 2.86; P = 0.04). Together, the data not only elucidate new potential targets for therapeutic intervention in head and neck cancer but also may aid in the identification of poor prognosis patients who may require more aggressive treatment regimens.

Global hypomethylation identifies Loci targeted for hypermethylation in head and neck cancer.

PURPOSE: The human epigenome is profoundly altered in cancers, with a characteristic loss of methylation in repetitive regions and concomitant accumulation of gene promoter methylation. The degree to which these processes are coordinated is unclear so we investigated both in head and neck squamous cell carcinomas. EXPERIMENTAL DESIGN: Global methylation was measured using the luminometric methylation assay (LUMA) and pyrosequencing of LINE-1Hs and AluYb8 repetitive elements in a series of 138 tumors. We also measured methylation of more than 27,000 CpG loci with the Illumina HumanMethylation27 Microarray (n = 91). RESULTS: LINE-1 methylation was significantly associated with LUMA and Infinium loci methylation (Spearman's ρ = 0.52/ρ = 0.56, both P < 0.001) but not that of AluYb8. Methylation of LINE-1, AluYb8, and Infinium loci differed by tumor site (each Kruskal-Wallis, P < 0.05). Also, LINE-1 and LUMA methylation were associated with HPV16 E6 serology (each Mann-Whitney, P < 0.05). Comparing LINE-1 methylation to gene-associated methylation, we identified a distinct subset of CpG loci with significant hypermethylation associated with LINE-1 hypomethylation. An investigation of sequence features for these CpG loci revealed that they were significantly less likely to reside in repetitive elements (Gene Set Enrichment Analysis, P < 0.02), enriched in CpG islands (P < 0.001) and were proximal to transcription factor-binding sites (P < 0.05). We validated the top CpG loci that had significant hypermethylation associated with LINE-1 hypomethylation (at EVI2A, IFRD1, KLHL6, and PTPRCAP) by pyrosequencing independent tumors. CONCLUSIONS: These data indicate that global hypomethylation and gene-specific methylation processes are associated in a sequence-dependent manner, and that clinical characteristics and exposures leading to HNSCC may be influencing these processes.

Mature microRNA sequence polymorphism in MIR196A2 is associated with risk and prognosis of head and neck cancer.

PURPOSE: The central role of microRNAs as regulators of translation has been well established, whereas the relationships between genetic variation in microRNAs and disease risk is only beginning to be explored. A polymorphism in the MIR196A2 locus has shown associations with lung, breast, esophageal, and gastric tumors but has not been examined in head and neck cancers, which share similar pathology and etiology to these diseases. EXPERIMENTAL DESIGN: We studied a polymorphism in the mature sequence of MIR196A2 (rs11614913, C/T) in a population-based case-control study (n = 1,039) of head and neck squamous cell carcinoma (HNSCC) to determine if MIR196A2 genotype was associated with disease occurrence and patient survival. RESULTS: Presence of any variant allele was associated with a significantly reduced risk for HNSCC (odds ratio, 0.8; 95% confidence interval, 0.56-0.99). Homozygous variant allele carriers with pharyngeal tumors had significantly reduced survival compared with wild-type and heterozygous cases (hazard ratio, 7.4; 95% confidence interval, 1.9-28.2). Expression analysis in a subset of tumors (n = 83) revealed no significant difference in relative expression of either miR-196a or miR-196a* by MIR196A2 genotype. CONCLUSION: These data demonstrate a role for MIR196A2 genotype in susceptibility and prognosis of HNSCC.

Soft-shell clam (Mya arenaria) p53: a structural and functional comparison to human p53.

The tumor suppressor p53 regulates genes involved in progression through the cell cycle, DNA repair, senescence or apoptosis in response to cell stress. Dysregulation of p53 can result in uncontrolled cellular proliferation. Invertebrate homologues to human p53 (Hsp53) have been identified, including a putative p53 gene (Map53) from the soft-shell clam (Mya arenaria). Predicted sequences for human and clam p53 proteins exhibit conservation in key domains. In light of this similarity, and the apparent dysregulation of Map53 under morphologically aberrant/pathologic conditions, we tested the hypothesis that the two proteins function in a similar manner. Plasmids expressing either Hsp53 or Map53 were introduced by transient transfection into the p53-null H1299 cell line. Functionality was assessed by monitoring the p53/mdm2 feedback loop and expression of p53-mediated downstream markers of growth arrest and apoptosis under non-stressed conditions. Hsp53 spontaneously induced markers of growth arrest, while Map53 expression induced neither cell arrest nor apoptosis. The difference in downstream activation is not likely the result of cytosolic sequestration since Map53, like Hsp53, localized almost exclusively to the nucleus. Functional similarity was observed in regulation by human MDM2, suggesting that the clam may have an mdm2 homologue. Protein modeling identified an apparent MDM2 binding site in Map53, supporting the observation of a potential Map53/MDM2 interaction. Significant amino acid differences present in the Map53 tetramerization domain may potentially affect p53 protein/protein interactions. Taken together, these data suggest that the Map53 shares some functional similarity with human p53 as well as with other invertebrates, positioning the mollusk at a critical juncture in evolution of this gene family.