Unveiling chronic spontaneous urticaria pathophysiology through systems biology.

BACKGROUND: Chronic spontaneous urticaria (CSU) is a rare, heterogeneous, severely debilitating, and often poorly controlled skin disease resulting in an itchy eruption that can be persistent. Antihistamines and omalizumab, an anti-IgE mAb, are the only licensed therapies. Although CSU pathogenesis is not yet fully understood, mast cell activation through the IgE:high-affinity IgE receptor (FcεRI) axis appears central to the disease process. OBJECTIVE: We sought to model CSU pathophysiology and identify in silico the mechanism of action of different CSU therapeutic strategies currently in use or under development. METHODS: Therapeutic performance mapping system technology, based on systems biology and machine learning, was used to create a CSU interactome validated with gene expression data from patients with CSU and a CSU model that was used to evaluate CSU pathophysiology and the mechanism of action of different therapeutic strategies. RESULTS: Our models reflect the known role of mast cell activation as a central process of CSU pathophysiology, as well as recognized roles for different therapeutic strategies in this and other innate and adaptive immune processes. They also allow determining similarities and differences between them; anti-IgE and Bruton tyrosine kinase inhibitors play a more direct role in mast cell biology through abrogation of FcεRI signaling activity, whereas anti-interleukins and anti-Siglec-8 have a role in adaptive immunity modulation. CONCLUSION: In silico CSU models reproduced known CSU and therapeutic strategies features. Our results could help advance understanding of therapeutic mechanisms of action and further advance treatment research by patient profile.

Predicting Clinical Remission of Chronic Urticaria Using Random Survival Forests: Machine Learning Applied to Real-World Data.

INTRODUCTION: The time required to reach clinical remission varies in patients with chronic urticaria (CU). The objective of this study is to develop a predictive model using a machine learning methodology to predict time to clinical remission for patients with CU. METHODS: Adults with ≥ 2 ICD-9/10 relevant CU diagnosis codes/CU-related treatment > 6 weeks apart were identified in the Optum deidentified electronic health record dataset (January 2007 to June 2019). Clinical remission was defined as ≥ 12 months without CU diagnosis/CU-related treatment. A random survival forest was used to predict time from diagnosis to clinical remission for each patient based on clinical and demographic features available at diagnosis. Model performance was assessed using concordance, which indicates the degree of agreement between observed and predicted time to remission. To characterize clinically relevant groups, features were summarized among cohorts that were defined based on quartiles of predicted time to remission. RESULTS: Among 112,443 patients, 73.5% reached clinical remission, with a median of 336 days from diagnosis. From 1876 initial features, 176 were retained in the final model, which predicted a median of 318 days to remission. The model showed good performance with a concordance of 0.62. Patients with predicted longer time to remission tended to be older with delayed CU diagnosis, and have more comorbidities, more laboratory tests, higher body mass index, and polypharmacy during the 12-month period before the first CU diagnosis. CONCLUSIONS: Applying machine learning to real-world data enabled accurate prediction of time to clinical remission and identified multiple relevant demographic and clinical variables with predictive value. Ongoing work aims to further validate and integrate these findings into clinical applications for CU management.

Canakinumab improves patient-reported outcomes in children and adults with autoinflammatory recurrent fever syndromes: results from the CLUSTER trial.

OBJECTIVES: To evaluate the effect of canakinumab on health-related quality of life (HRQoL), work/school and social life of patients with autoinflammatory recurrent fever syndromes, including colchicine-resistant familial Mediterranean fever, mevalonate kinase deficiency, and tumour necrosis factor receptor-associated periodic syndrome, in the CLUSTER trial. METHODS: HRQoL of patients who received canakinumab 150 mg or 300 mg every four weeks in the CLUSTER trial (n=173) was assessed at baseline and Weeks 17 and 41. For children we used the Child Health Questionnaire - Parent Form 50 (CHQ-PF50), including psychosocial (PsS) and physical (PhS) component summary scores. For adults, the Short-Form-12 (SF-12) Health Survey was used, including physical (PFS) and mental (PCS) component summary scores. The Sheehan Disability Scale (SDS) was used to determine the impact of treatment on work/school, social and family life. RESULTS: The results obtained were remarkably consistent in both paediatric and adult patients across the three disease cohorts. At baseline, median scores for physical components were relatively low (26-29 for PhS and 34-38 for PFS); they improved to values similar to those expected in the general population by Week 17, and this improvement was sustained at Week 41, when median PhS scores were 47-50 and PFS 44-54. Psychosocial and mental scores also improved from baseline to Week 17 and 41, with scores comparable to the general population. Notable improvements were also observed in the SDS scale. CONCLUSIONS: Patients with three inherited autoinflammatory syndromes experienced sustained improvements on their HRQoL, work/school, and social life on treatment with canakinumab.

Application of systems biology-based in silico tools to optimize treatment strategy identification in Still's disease.

BACKGROUND: Systemic juvenile idiopathic arthritis (sJIA) and adult-onset Still's disease (AOSD) are manifestations of an autoinflammatory disorder with complex pathophysiology and significant morbidity, together also termed Still's disease. The objective of the current study is to set in silico models based on systems biology and investigate the optimal treat-to-target strategy for Still's disease as a proof-of-concept of the modeling approach. METHODS: Molecular characteristics of Still's disease and data on biological inhibitors of interleukin (IL)-1 (anakinra, canakinumab), IL-6 (tocilizumab, sarilumab), and glucocorticoids as well as conventional disease-modifying anti-rheumatic drugs (DMARDs, methotrexate) were used to construct in silico mechanisms of action (MoA) models by means of Therapeutic Performance Mapping System (TPMS) technology. TPMS combines artificial neuronal networks, sampling-based methods, and artificial intelligence. Model outcomes were validated with published expression data from sJIA patients. RESULTS: Biologicals demonstrated more pathophysiology-directed efficiency than non-biological drugs. IL-1 blockade mainly acts on proteins implicated in the innate immune system, while IL-6 signaling blockade has a weaker effect on innate immunity and rather affects adaptive immune mechanisms. The MoA models showed that in the autoinflammatory/systemic phases of Still's disease, in which the innate immunity plays a pivotal role, the IL-1ß-neutralizing antibody canakinumab is more efficient than the IL-6 receptor-inhibiting antibody tocilizumab. MoA models reproduced 67% of the information obtained from expression data. CONCLUSIONS: Systems biology-based modeling supported the preferred use of biologics as an immunomodulatory treatment strategy for Still's disease. Our results reinforce the role for IL-1 blockade on innate immunity regulation, which is critical in systemic autoinflammatory diseases. This further encourages early use on Still's disease IL-1 blockade to prevent the development of disease or drug-related complications. Further analysis at the clinical level will validate the findings and help determining the timeframe of the window of opportunity for canakinumab treatment.

Exocytosis of polyubiquitinated proteins in bortezomib-resistant leukemia cells: a role for MARCKS in acquired resistance to proteasome inhibitors.

PSMB5 mutations and upregulation of the ß5 subunit of the proteasome represent key determinants of acquired resistance to the proteasome inhibitor bortezomib (BTZ) in leukemic cells in vitro. We here undertook a multi-modality (DNA, mRNA, miRNA) array-based analysis of human CCRF-CEM leukemia cells and BTZ-resistant subclones to determine whether or not complementary mechanisms contribute to BTZ resistance. These studies revealed signatures of markedly reduced expression of proteolytic stress related genes in drug resistant cells over a broad range of BTZ concentrations along with a high upregulation of myristoylated alanine-rich C-kinase substrate (MARCKS) gene expression. MARCKS upregulation was confirmed on protein level and also observed in other BTZ-resistant tumor cell lines as well as in leukemia cells with acquired resistance to other proteasome inhibitors. Moreover, when MARCKS protein expression was demonstrated in specimens derived from therapy-refractory pediatric leukemia patients (n = 44), higher MARCKS protein expression trended (p = 0.073) towards a dismal response to BTZ-containing chemotherapy. Mechanistically, we show a BTZ concentration-dependent association of MARCKS protein levels with the emergence of ubiquitin-containing vesicles in BTZ-resistant CEM cells. These vesicles were found to be extruded and taken up in co-cultures with proteasome-proficient acceptor cells. Consistent with these observations, MARCKS protein associated with ubiquitin-containing vesicles was also more prominent in clinical leukemic specimen with ex vivo BTZ resistance compared to BTZ-sensitive leukemia cells. Collectively, we propose a role for MARCKS in a novel mechanism of BTZ resistance via exocytosis of ubiquitinated proteins in BTZ-resistant cells leading to quenching of proteolytic stress.

CGH arrays compared for DNA isolated from formalin-fixed, paraffin-embedded material.

Formalin-fixed, paraffin-embedded (FFPE) archival tissue is an important source of DNA material. The most commonly used technique to identify copy number aberrations from chromosomal DNA in tumorigenesis is array comparative genomic hybridization (aCGH). Although copy number analysis using DNA from FFPE archival tissue is challenging, several research groups have reported high quality and reproducible DNA copy number results using aCGH. Aim of this study is to compare the commercially available aCGH platforms suitable for high-resolution copy number analysis using FFPE-derived DNA. Two dual channel aCGH platforms (Agilent and NimbleGen) and a single channel SNP-based platform (Affymetrix) were evaluated using seven FFPE colon cancer samples, and median absolute deviation (MAD), deflection, signal-to-noise ratio, and DNA input requirements were used as quality criteria. Large differences were observed between platforms; Agilent and NimbleGen showed better MAD values (0.13 for both) compared with Affymetrix (0.22). On the contrary, Affymetrix showed a better deflection of 0.94, followed by 0.71 for Agilent and 0.51 for NimbleGen. This resulted in signal-to-nose ratios that were comparable between the three commercially available platforms. Interestingly, DNA input amounts from FFPE material lower than recommended still yielded high quality profiles on all platforms. Copy number analysis using DNA derived from FFPE archival material is feasible using all three high-resolution copy number platforms and shows reproducible results, also with DNA input amounts lower than recommended.

To DNA or not to DNA? That is the question, when it comes to molecular subtyping for the clinic!

Genome-wide RNA expression profiling has yielded tumor subtypes with strong predictive or prognostic value for a wide variety of cancers. Recently, for breast cancer two RNA expression classifiers have been adopted by the World Health Organization (WHO) and approved by the Food and Drug Administration (FDA). Also on the basis of DNA copy number profiles, tumor subtypes with different prognosis have been described, but have not yet led to clinical implementation. The genomic revolution caused by next generation sequencing of DNA samples presents additional mutation, balanced translocations, single-nucleotide polymorphisms (SNP), and copy neutral loss of heterozygosity data simultaneously. We foresee a further boost of the potential of DNA profiling in the clinic when these multidimensional DNA factors will be implemented. Here we evaluate the current stratification power with DNA copy numbers. In a training and validation approach using data of 400 published breast cancer samples, we show that a DNA copy number classifier accurately classifies RNA expression subtypes. We consider this an important step forward for clinical implementation of genomic subtyping using DNA and discuss the extra dimensions upcoming techniques will bring to the DNA palette.

Immortalization of oral keratinocytes by functional inactivation of the p53 and pRb pathways.

A subgroup of head and neck squamous cell carcinomas (HNSCCs) contains high-risk human papillomavirus-type 16 (HPV16). The viral E6 and E7 oncoproteins inactivate the p53 and pRb proteins, respectively. We examined the causative effect of HPV16 E6 and E7 expression on the immortalization of normal oral keratinocytes (OKCs) and compared the resulting phenotype with alternative ways of p53- and pRb-pathway abrogation frequently found in HNSCCs without HPV. Primary OKCs were conditionally immortalized with temperature-sensitive SV40 large T-antigen and human telomerase, allowing these cells to return to their senescent primary state after temperature shift. HPV16 E6 and E7 were introduced to overcome senescence, determined with population doubling (PD) as read-out. For comparison, we downregulated p53 and p16 by short hairpin RNA genes and expressed mutant p53R(175)H and cyclinD1. Expression of HPV16 E6 caused an extended life span similar to expression of mutant p53R(175)H or p53 knockdown. Expression of mutant p53R(175)H seemed to cause additional activation of the hypoxia and WNT signaling pathways. HPV16 E7 expression had no direct effect on lifespan, similar to p16 knockdown or cyclinD1 expression. In combination with HPV16 E6 or other functional inactivations of p53, abrogation of the pRb-pathway by either HPV16 E7 or other manipulations caused an immortal phenotype. Our data show the causative role of HPV16 E6/E7 in early squamous carcinogenesis. Activity of each gene could be mimicked by other genetic events frequently found in HNSCC without HPV. This data provides the experimental proof of causal association of HPV in HNSCC carcinogenesis and further support the crucial role of the p53- and pRb-pathways.

Intensity-based analysis of dual-color gene expression data as an alternative to ratio-based analysis to enhance reproducibility.

BACKGROUND: Ratio-based analysis is the current standard for the analysis of dual-color microarray 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.

Genetic classification of oral and oropharyngeal carcinomas identifies subgroups with a different prognosis.

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.

Genomic profiling identifies common HPV-associated chromosomal alterations in squamous cell carcinomas of cervix and head and neck.

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.

Comparative proteome analysis to explore p53 pathway disruption in head and neck carcinogenesis.

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.

Identification of genes putatively involved in the pathogenesis of diffuse large B-cell lymphomas by integrative genomics.

Diffuse large B-cell lymphomas (DLBCL) are highly heterogeneous with regard to clinical presentation and outcome. DLBCL copy number aberrations have been identified previously, of which the deletion at 6q21-24 was significantly associated with a highly favorable clinical response to chemotherapy. In this study, we aimed to identify genes implicated in this and other genomic regions with recurrent losses and/or gains. To identify implicated genes, we superimposed array comparative genomic hybridization (aCGH) data onto a microarray expression dataset of 42 clinically well-characterized primary nodal DLBCL biopsies. We confirmed that loss of 6q21-24 is significantly associated with a highly favorable clinical response to chemotherapy. Our approach identified 316 significant genes restricted to 32 chromosomal regions, including 24 genes identified at 6q21-24. In an independent dataset, 18% of overexpressed genes in gained regions and 55% of down-regulated genes in deleted regions were validated. In summary, using integrative genomics novel onco and tumor suppressor genes were identified in DLBCL that were not recognized by expression profiling alone.

Genome-wide microarray gene expression, array-CGH analysis, and telomerase activity in advanced ovarian endometriosis: a high degree of differentiation rather than malignant potential.

The aim of the present study was to investigate whether endometriosis and cancer share common molecular characteristics. Tissue samples were collected prospectively during diagnostic laparoscopy of patients with primary infertility. Using high-density oligonucleotide microarrays, (Affymetrix Gene Chip HG-U133 Set) the genome-wide gene expression profile of advanced ovarian endometriosis was analyzed compared with matched normal endometrium. Expression of TERT, the gene encoding the telomerase reverse transcriptase subunit, and telomerase activity were analyzed in eutopic and ectopic endometrium. Genome-wide, high-resolution array-CGH was used to screen for genomic aberrations in endometriosis. Expression microarray data were validated quantitatively with RT-PCR. The genes RARRES1 and RARRES2 (retinoic acid receptor responder 1 and 2) were found to be up-regulated in endometriosis, suggesting a high degree of differentiation. Consistently, down-regulated genes included those involved in the cell cycle, cell metabolism and homeostasis. Expression of TERT and telomerase activity were present in eutopic but absent in ectopic endometrium. Array-CGH revealed a normal genomic pattern without gross amplifications and deletions. In conclusion, these data suggest that advanced ovarian endometriosis represents a highly differentiated tissue with minimal or no malignant potential.

A novel algorithm for reliable detection of human papillomavirus in paraffin embedded head and neck cancer specimen.

Human papillomavirus type 16 (HPV16) plays a role in the development of a subgroup of head and neck squamous cell carcinomas (HNSCC). However, uncertainty exists about the true impact of HPV in this tumor type as conflicting reports have been published with prevalence rates from 0 to 100%. We aimed to find a detection algorithm of a biologically and thus clinically meaningful infection, applicable for high-throughput screening of frozen and formalin-fixed paraffin embedded (FFPE) specimens. By considering detection of HPV E6 oncogene expression in frozen biopsies as gold standard for a meaningful HPV infection, the value of several assays was evaluated on FFPE tumor specimens and sera of 48 HNSCC patients. The following assays were evaluated on FFPE tissue samples: HPV DNA general primer (GP)5+/6+ PCR, viral load analysis, HPV16 DNA FISH detection, HPV16 E6 mRNA RT-PCR, p16 immunostaining, and on corresponding serum samples detection of antibodies against the HPV16 proteins L1, E6 and E7. Comparing single assays on FFPE tissue samples detection of E6 expression by RT-PCR was superior, but application remains at present limited to HPV16 detection. Most suitable algorithm with 100% sensitivity and specificity appeared p16 immunostaining followed by GP5+/6+ PCR on the p16-positive cases. We show that clinically meaningful viral HPV infections can be more reliably measured in FFPE HNSCC samples in a standard and high throughput manner, paving the way for prognostic and experimental vaccination studies, regarding not only HNSCC, but possibly also cancer types with HPV involvement in subgroups such as penile and anal cancer.

DNA quality assessment for array CGH by isothermal whole genome amplification.

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 beta-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.

CGHMultiArray: exact P-values for multi-array comparative genomic hybridization data.

We compute P-values, based on the Wilcoxon test with ties, to compare two conditions with array comparative genomic hybridization data, and we provide a simple interface to export and plot these P-values.

Characterization of the human Ly-6 antigens, the newly annotated member Ly-6K included, as molecular markers for head-and-neck squamous cell carcinoma.

The E48 antigen is a successfully explored molecular marker for the diagnosis and therapy of HNSCC. The applicability of E48 as an HNSCC-associated antigen, however, is restricted due to its heterogeneous expression in 30% of tumors; and identification of additional target antigens is therefore desired. E48 belongs to the Ly-6 antigen family, comprising a group of highly homologous, low m.w., GPI-anchored surface proteins, of which some show tissue-restricted expression patterns. To identify novel human HNSCC-associated Ly-6 members with squamous cell-associated expression patterns, we performed comprehensive gene-screening consisting of BLAST searches within GenBank databases, followed by expression analysis. Using this approach, the Ly-6K gene could be annotated as a novel member of the human Ly-6 family. Expression of the human Ly-6 genes E48, Ly-6K, PSCA, GML, RIG-E, G6C and Ly-6H was prescreened by qualitative RT-PCR and subsequently analyzed by quantitative RT-PCR in normal keratinocytes, HNSCC cell lines, normal mucosa, HNSCC tumors as well as normal peripheral blood and bone marrow cells. PSCA was highly expressed in normal mucosa, but 100-fold decreased expression was seen in HNSCC. For Ly-6H, GML and G6C, no or very low expression was observed in keratinocytes and HNSCC. Expression of RIG-E was high in normal and malignant squamous cells and in peripheral blood and bone marrow cells, thus limiting its applicability as an HNSCC-associated marker. In contrast, besides the E48 gene, the Ly-6K gene also appeared to be selectively expressed in HNSCC and normal squamous cells. Moreover, expression of Ly-6K was shown in HNSCC cell lines, in which no E48 expression could be detected. These data justify further evaluation of Ly-6K as potential target antigen for the diagnosis and therapy of HNSCC.

Nonmalignant oral keratinocytes from patients with head and neck squamous cell carcinoma show enhanced metabolism of retinoic acid.

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.