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The common risk factors for oral and oropharyngeal cancer are tobacco smoking and alcohol consumption, and recently the human papillomavirus (HPV) was shown to be involved in a subgroup. HPV-positive and -negative carcinomas can be distinguished on basis of their genetic profiles. Aim of this study was to investigate patterns of chromosomal aberrations of HPV-negative oral and oropharyngeal squamous cell carcinomas (OOSCC) in order to improve stratification of patients regarding outcome. Thirty-nine OOSCCs were classified on basis of their genetic pattern determined by array comparative genomic hybridization (aCGH). Resulting groups were related to patient and tumor characteristics using the Fisher's exact test and in addition to survival with the Kaplan–Meier and log rank tests. Classification distinguished three groups, one characterized by hardly any chromosomal aberration (N=8) and another by a relatively high level (N=26), and one with a very high level (N=5) of chromosomal aberrations. This classification was significantly (p=0.003) associated with survival, with the best survival in the genetically ‘silent’ group and the worst survival in the most aberrant group. The silent profile was significantly (p<0.05) associated with wild-type TP53, an absence of alcohol consumption and a female gender. These carcinomas were negative for microsatellite instability. This classification of OOSCC was confirmed in an independent set of 89 oral carcinomas. In conclusion, the discovery of these new classes of oral and oropharyngeal cancer with unique genetic and clinical characteristics has important consequences for future basic and clinical studies. [ABSTRACT FROM AUTHOR]

Background: It is well known that a persistent infection with high-risk human papillomavirus (hrHPV) is causally involved in the development of squamous cell carcinomas of the uterine cervix (CxSCCs) and a subset of SCCs of the head and neck (HNSCCs). The latter differ from hrHPV-negative HNSCCs at the clinical and molecular level. Methods: To determine whether hrHPV-associated SCCs arising from different organs have specific chromosomal alterations in common, we compared genome-wide chromosomal profiles of 10 CxSCCs (all hrHPV-positive) with 12 hrHPV-positive HNSCCs and 30 hrHPV-negative HNSCCs. Potential organ-specific alterations and alterations shared by SCCs in general were investigated as well. Results: Unsupervised hierarchical clustering resulted in one mainly hrHPV-positive and one mainly hrHPV-negative cluster. Interestingly, loss at 13q and gain at 20q were frequent in HPV-positive carcinomas of both origins, but uncommon in hrHPV-negative HNSCCs, indicating that these alterations are associated with hrHPV-mediated carcinogenesis. Within the group of hrHPV-positive carcinomas, HNSCCs more frequently showed gains of multiple regions at 8q whereas CxSCCs more often showed loss at 17p. Finally, gains at 3q24-29 and losses at 11q22.3-25 were frequent (>50%) in all sample groups. Conclusion: In this study hrHPV-specific, organ-specific, and pan-SCC chromosomal alterations were identified. The existence of hrHPV-specific alterations in SCCs of different anatomical origin, suggests that these alterations are crucial for hrHPV-mediated carcinogenesis. [ABSTRACT FROM AUTHOR]

Background and Objective: Retinoids show promise in the treatment of various (pre)malignancies, including head and neck squamous cell carcinoma (HNSCC). It has been shown that metabolic pathways of retinoids are important in their anticancer effect and that these pathways may change during HNSCC carcinogenesis. We have previously reported that HNSCC cells have a 17-fold greater turnover rate of retinoic acid (RA) than normal oral keratinocytes from noncancer controls, and that the formation of polar metabolites such as 4-oxo-RA and 4-hydroxy-RA is only seen in HNSCC cell lines. We aimed to establish whether this altered retinoid metabolism is an intrinsic characteristic of HNSCC patients. Methods: The normal mucosa of cancer and noncancer patients was the source of keratinocyte cultures. The cells were exposed to RA for various time periods, and the levels of various retinoids were measured in the culture medium and cell pellets with reverse-phase liquid chromatography. Results: Cells from cancer patients were morphologically normal and showed no genetic aberrations (i.e. loss of heterozygosity). The RA turnover rate in normal oral keratinocytes of cancer patients was 15 times higher (p = 0.003) than that in normal oral keratinocytes of noncancer controls, with average turnover rates of 218.6 and 14.8 pmol/mg protein/h, respectively. Specific profiles of RA metabolites were similar. Conclusion: The observed higher RA metabolism in noncancer cells of HNSCC patients suggests that individuals with a relatively high RA turnover have an increased risk of developing HNSCC.Copyright © 2002 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

data. Indeed, this method provides a powerful means to account for potential technical variations such as differences in background signal, spot size and spot concentration. However, current high density dual-color array platforms are of very high quality, and inter-array variance has become much less pronounced. We therefore raised the question whether it is feasible to use an intensity-based analysis rather than ratio-based analysis of dual-color microarray datasets. Furthermore, we compared performance of both ratio- and intensity-based analyses in terms of reproducibility and sensitivity for differential gene expression. Results: By analyzing three distinct and technically replicated datasets with either ratio- or intensity-based models, we determined that, when applied to the same dataset, intensity-based analysis of dual-color gene expression experiments yields 1) more reproducible results, and 2) is more sensitive in the detection of differentially expressed genes. These effects were most pronounced in experiments with large biological variation and complex hybridization designs. Furthermore, a power analysis revealed that for direct two-group comparisons above a certain sample size, ratio-based models have higher power, although the difference with intensity-based models is very small. Conclusions: Intensity-based analysis of dual-color datasets results in more reproducible results and increased sensitivity in the detection of differential gene expression than the analysis of the same dataset with ratio-based analysis. Complex dual-color setups such as interwoven loop designs benefit most from ignoring the array factor. The applicability of our approach to array platforms other than dual-color needs to be further investigated. [ABSTRACT FROM AUTHOR]

Abstract: The 5-year-survival rate of head and neck squamous cell carcinoma (HNSCC) has been only moderately improved over the last few decades. HNSCC develops in precursor fields of genetically altered mucosal cells, typically characterized by p53 pathway disruption, that mostly do not give any clinical symptoms. Patients present therefore often with invasive carcinomas in an advanced stage. After tumor resection, part of these fields frequently stays behind unnoticed, causing secondary tumors. Identification of these precursor fields would allow screening and early detection of both primary and secondary tumors. Our aim was to identify differential proteins related to p53 dysfunction. These proteins may serve as valuable biomarkers that can predict the presence of a precursor field. We used a squamous cell model for p53 inactivation, which was analyzed by 2D-DIGE and LC-MS/MS. This approach enabled us to identify a set of 74 proteins that were differentially expressed in cells with normal versus disrupted p53 function. For six proteins the major changes in expression were verified with immunohistochemical staining. The most promising result was the identification of peroxiredoxin-1 which allowed immunohistochemical discrimination between normal epithelium and precursor field tissue with a TP53 mutation. [Copyright &y& Elsevier]

Background: Array Comparative Genomic Hybridization (array CGH) is increasingly applied on DNA obtained from formalin-fixed paraffin-embedded (FFPE) tissue, but in a proportion of cases this type of DNA is unsuitable. Due to the high experimental costs of array CGH and unreliable methods for DNA quality testing, better prediction methods are needed. The aim of this study was to accurately determine the quality of FFPE DNA input in order to predict quality of array CGH outcome. Material and Methods: DNA quality was assessed by isothermal amplification and compared to array CGH quality on 59 FFPE gastric cancer samples, one FFPE colorectal cancer sample, two FFPE normal uvula samples, one fresh frozen and six FFPE HNSCC samples. Gastric cancer DNA was also quality tested by β-globin PCR. Results: Accurate prediction of DNA quality using the isothermal amplification was observed in the colorectal carcinoma, HNSCC and uvula samples. In gastric cancer samples, the isothermal amplification was a more accurate method for selecting good quality DNA for array CGH compared to using PCR product lengths. The isothermal amplification product was used for array CGH and compared to the results achieved using non-amplified DNA in four of the samples. DNAs before and after amplification yielded the same segmentation patterns of chromosomal copy number changes for both the fresh DNA sample and the FFPE samples. Conclusion: The efficiency of isothermal DNA amplification is a reliable predictor for array CGH quality. The amplification product itself can be used for array CGH, even starting with FFPE derived DNA samples. [ABSTRACT FROM AUTHOR]