The scavenging capacity of DMBT1 is impaired by germline deletions.

The Scavenger Receptor Cysteine-Rich (SRCR) proteins are an archaic group of proteins characterized by the presence of multiple SRCR domains. They are membrane-bound or secreted proteins, which are generally related to host defense systems in animals. Deleted in Malignant Brain Tumors 1 (DMBT1) is a SRCR protein which is secreted in mucosal fluids and involved in host defense by pathogen binding by its SRCR domains. Genetic polymorphism within DMBT1 leads to DMBT1-alleles giving rise to polypeptides with interindividually different numbers of SRCR domains, ranging from 8 SRCR domains (encoded by 6 kb DMBT1 variant) to 13 SRCR domains (encoded by the 8 kb DMBT1 variant). In the present study, we have investigated whether reduction from 13 to 8 amino-terminal SRCR domains leads to reduction of bacterial binding. The 6 kb variant bound ~20-45% less bacteria compared to the 8 kb variant. These results support the hypothesis that genetic variation in DMBT1 may influence microbial defense.

Differential expression of apoptotic genes PDIA3 and MAP3K5 distinguishes between low- and high-risk prostate cancer.

BACKGROUND: Despite recent progress in the identification of genetic and molecular alterations in prostate cancer, markers associated with tumor progression are scarce. Therefore precise diagnosis of patients and prognosis of the disease remain difficult. This study investigated novel molecular markers discriminating between low and highly aggressive types of prostate cancer. RESULTS: Using 52 microdissected cell populations of low- and high-risk prostate tumors, we identified via global cDNA microarrays analysis almost 1200 genes being differentially expressed among these groups. These genes were analyzed by statistical, pathway and gene enrichment methods. Twenty selected candidate genes were verified by quantitative real time PCR and immunohistochemistry. In concordance with the mRNA levels, two genes MAP3K5 and PDIA3 exposed differential protein expression. Functional characterization of PDIA3 revealed a pro-apoptotic role of this gene in PC3 prostate cancer cells. CONCLUSIONS: Our analyses provide deeper insights into the molecular changes occurring during prostate cancer progression. The genes MAP3K5 and PDIA3 are associated with malignant stages of prostate cancer and therefore provide novel potential biomarkers.

Down-regulation of HLA Class I and NKG2D ligands through a concerted action of MAPK and DNA methyltransferases in colorectal cancer cells.

Most malignant features of cancer cells are triggered by activated oncogenes and the loss of tumor suppressors due to mutation or epigenetic inactivation. It is still unclear, to what extend the escape of emerging cancer cells from recognition and elimination by the immune system is determined by similar mechanisms. We compared the transcriptomes of HCT116 colorectal cancer cells deficient in DNA methyltransferases (DNMTs) and of cells, in which the RAS pathway as the major growth-promoting signaling system is blocked by inhibition of MAPK. We identified the MHC Class I genes HLA-A1/A2 and the ULBP2 gene encoding 1 of the 8 known ligands of the activating NK receptor NKG2D among a cluster of immune genes up-regulated under the conditions of both DNMT-deficiency and MEK-inhibition. Bisulphite sequencing analyses of HCT116 with DNMT deficiency or after MEK-inhibition showed that de-methylation of the ULPB2 promoter correlated with its enhanced surface expression. The HLA-A promoters were not methylated indicating that components of the HLA assembly machinery were also suppressed in DNMT-deficient and MEK-inhibited cells. Increased HLA-A2 surface expression was correlated with enhanced recognition and lysis by A2-specific CTL. On the contrary, elevated ULBP2 expression was not reflected by enhanced recognition and lysis by NK cells. Cosuppression of HLA Class I and NKG2D ligands and genes encoding peptide transporters or proteasomal genes mediates a strong functional link between RAS activation, DNMT activity and disruption of the antigen presenting system controlling immune recognition in colorectal cancer cells.

Gene expression analysis of endobronchial epithelial lining fluid in the evaluation of indeterminate pulmonary nodules.

OBJECTIVE: Making a definitive preoperative diagnosis in patients with indeterminate pulmonary nodules is still a challenge. Gene expression profiling may be a useful adjunctive diagnostic utility in this regard. We investigated the feasibility of bronchoscopic microsampling to collect endobronchial epithelial lining fluid to obtain RNA as a starting point for gene expression profiling. METHODS: In 15 patients, epithelial lining fluid was collected in triplicate from subsegmental bronchi close to the pulmonary nodules and from contralateral lungs. Diagnosis was confirmed by transbronchial biopsy or surgery (non-small cell lung cancer, n = 11; benign or other lesions, n = 4). Total RNA was isolated from the samples and evaluated concerning quantity and quality. The complementary DNA was generated and analyzed by quantitative real-time polymerase chain reaction for potential lung cancer associated genes like matrix metalloprotinase (MMP9). RESULTS: Total RNA of adequate amount (>0.8 microg) and sufficient quality was obtained in 13 (86%) of the 15 patients. In patients with lung cancer, normalized MMP9 gene expression levels in endobronchial lining fluid samples collected close to the lesions were in median 12 times higher than levels in the matching contralateral samples. MMP9 expression levels were particularly high in endobronchial lining fluid samples collected from patients with squamous cell carcinoma but not elevated in the case of benign lesions. CONCLUSIONS: Our results show that quantitative gene expression analysis of endobronchial lining fluid collected by bronchoscopic microsampling is both feasible and reliable and may therefore be a useful additional diagnostic method in patients with indeterminate pulmonary nodules.

FARP2, HDLBP and PASK are downregulated in a patient with autism and 2q37.3 deletion syndrome.

We describe a patient with autism and brachymetaphalangy, meeting criteria for 2q37 deletion syndrome (also called Albright Hereditary Osteodystrophy-like syndrome or Brachydactyly-Mental Retardation syndrome, OMIM 600430). Our molecular cytogenetic studies, including array comparative genomic hybridization (aCGH) and fluorescence in situ hybridization (FISH), define the extent of the de novo deletion to a 3.5 Mb region on 2q37.3. Although a number of reports of patients with 2q37 deletion syndrome have been published, it remains unclear if gene expression and/or translation are altered by the deletion, thus contributing to the observed phenotypes. To address this question, we selected several candidate genes for the neuropsychiatric and skeletal anomalies found in this patient (autism and brachymetaphalangy). The deleted region in 2q37.3 includes the FERM, RhoGEF and pleckstrin domain protein 2 (FARP2), glypican 1 (GPC1), vigilin (HDLBP), kinesin family member 1A (KIF1A) and proline-alanine-rich STE20-related kinase (PASK), all of which are involved in skeletal or neural differentiation processes. Expression analyses of these genes were performed using RNA from lymphoblastoid cell lines of the patient and his family members. Here we demonstrate that three of these genes, FARP2, HDLBP, and PASK, are considerably downregulated in the patient's cell line. We hypothesize that haploinsufficiency of these genes may have contributed to the patient's clinical phenotype.

DMBT1 expression distinguishes anorectal from cutaneous melanoma.

AIMS: Anorectal melanoma (AM) forms a rare but highly malignant subset of mucosal melanoma with an extremely poor prognosis. Although AMs display histological and immunohistochemical features very similar to cutaneous melanoma (CM), no association exists either with exposure to ultraviolet light or with melanocytic naevi. While AMs are clearly distinguished from CM by displaying few BRAF mutations, they are commonly indistinguishable from CM at the level of gene expression. The aim was to carry out expression analyses of classical immunohistochemical markers and of the protein deleted in malignant brain tumours 1 (DMBT1) in cases of primary anorectal malignant melanoma and CM. METHODS AND RESULTS: Expression analyses of classical immunohistochemical markers (S100, HMB45, Melan A and MiTF) and of the protein DMBT1 were carried out in 27 cases of primary anorectal malignant melanoma and 26 cases of CM. All AM cases analysed showed expression of at least three of the classical markers for melanoma. However, immunohistochemistry showed 19 out of 27 AM to be positive for DMBT1, which represented a statistically significant difference (P = 0.0009) compared with CM (six out of 26), which more commonly are negative for DMBT1 expression. CONCLUSION: These results identify DMBT1 as a molecular feature that may allow distinction between AM and CM and support the notion that AM represents an entity molecularly distinct from CM.

DMBT1 functions as pattern-recognition molecule for poly-sulfated and poly-phosphorylated ligands.

Deleted in malignant brain tumors 1 (DMBT1) is a secreted glycoprotein displaying a broad bacterial-binding spectrum. Recent functional and genetic studies linked DMBT1 to the suppression of LPS-induced TLR4-mediated NF-kappaB activation and to the pathogenesis of Crohn's disease. Here, we aimed at unraveling the molecular basis of its function in mucosal protection and of its broad pathogen-binding specificity. We report that DMBT1 directly interacts with dextran sulfate sodium (DSS) and carrageenan, a structurally similar sulfated polysaccharide, which is used as a texturizer and thickener in human dietary products. However, binding of DMBT1 does not reduce the cytotoxic effects of these agents to intestinal epithelial cells in vitro. DSS and carrageenan compete for DMBT1-mediated bacterial aggregation via interaction with its bacterial-recognition motif. Competition and ELISA studies identify poly-sulfated and poly-phosphorylated structures as ligands for this recognition motif, such as heparansulfate, LPS, and lipoteichoic acid. Dose-response studies in Dmbt1(-/-) and Dmbt1(+/+) mice utilizing the DSS-induced colitis model demonstrate a differential response only to low but not to high DSS doses. We propose that DMBT1 functions as pattern-recognition molecule for poly-sulfated and poly-phosphorylated ligands providing a molecular basis for its broad bacterial-binding specificity and its inhibitory effects on LPS-induced TLR4-mediated NF-kappaB activation.

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.

BACKGROUND: In breast cancer, overexpression of the transmembrane tyrosine kinase ERBB2 is an adverse prognostic marker, and occurs in almost 30% of the patients. For therapeutic intervention, ERBB2 is targeted by monoclonal antibody trastuzumab in adjuvant settings; however, de novo resistance to this antibody is still a serious issue, requiring the identification of additional targets to overcome resistance. In this study, we have combined computational simulations, experimental testing of simulation results, and finally reverse engineering of a protein interaction network to define potential therapeutic strategies for de novo trastuzumab resistant breast cancer. RESULTS: First, we employed Boolean logic to model regulatory interactions and simulated single and multiple protein loss-of-functions. Then, our simulation results were tested experimentally by producing single and double knockdowns of the network components and measuring their effects on G1/S transition during cell cycle progression. Combinatorial targeting of ERBB2 and EGFR did not affect the response to trastuzumab in de novo resistant cells, which might be due to decoupling of receptor activation and cell cycle progression. Furthermore, examination of c-MYC in resistant as well as in sensitive cell lines, using a specific chemical inhibitor of c-MYC (alone or in combination with trastuzumab), demonstrated that both trastuzumab sensitive and resistant cells responded to c-MYC perturbation. CONCLUSION: In this study, we connected ERBB signaling with G1/S transition of the cell cycle via two major cell signaling pathways and two key transcription factors, to model an interaction network that allows for the identification of novel targets in the treatment of trastuzumab resistant breast cancer. Applying this new strategy, we found that, in contrast to trastuzumab sensitive breast cancer cells, combinatorial targeting of ERBB receptors or of key signaling intermediates does not have potential for treatment of de novo trastuzumab resistant cells. Instead, c-MYC was identified as a novel potential target protein in breast cancer cells.

In vitro-targeted gene identification in patients with hepatitis C using a genome-wide microarray technology.

UNLABELLED: Iron in association with reactive oxygen species (ROS) is highly toxic, aggravating oxidative stress reactions. Increased iron not only plays an important role in the progression of hereditary hemochromatosis (HH) but also in common liver diseases such as chronic hepatitis C. The underlying mechanisms of hepatitis C virus (HCV)-mediated iron accumulation, however, are poorly understood. We introduce an in vitro-targeted approach to identify ROS/iron-regulated genes in patients with HCV using a genome-wide DNA microarray. The sensitivity of the 32,231 complementary DNA clone-carrying microarray was approximately 20% as estimated by detecting target genes of the genome-wide transcription factor hypoxia inducible factor 1alpha. Upon in vitro challenge to iron and oxidative stress, 265 iron-related and 1326 ROS-related genes could be identified in HepG2 cells; 233 significantly regulated genes were found in patients with mild (HCV) or severe (HH) iron deposition. Notably, 17 of the in vitro-selected genes corresponded to the genes identified in patients with HCV or HH. Among them, natriuretic peptide precursor B (NPPB) was the only iron-regulated gene identified in vitro that was differentially regulated between HCV and HH. Reverse-transcription polymerase chain reaction confirmed most of the microarray-identified genes in an even larger group of patients (n = 12). In patients with HCV, these included genes that are associated with RNA processing (MED9/NFAT, NSUN2), proliferation, differentiation, hypoxia, or iron metabolism (ISG20, MIG6, HIG2, CA9, NDRG1), whereas none of the nine known iron-related genes showed significant differences between HCV and HH. CONCLUSION: Although high-density microarray technology is less suitable for routine liver diagnosis, its use in combination with prior in vitro selection is a powerful approach to identify candidate genes relevant for liver disease.

Global gene expression analysis reveals specific patterns of cell junctions in non-small cell lung cancer subtypes.

Non-small cell lung cancer (NSCLC) can be classified into the major subtypes adenocarcinoma (AC) and squamous cell carcinoma (SCC). Although explicit molecular, histological and clinical characteristics have been reported for both subtypes, no specific therapy exists so far. However, the characterization of suitable molecular targets holds great promises to develop novel therapies in NSCLC. In the present study, global gene expression profiling of 58 human NSCLC specimens revealed large transcriptomic differences between AC and SCC subtypes: more than 1700 genes were found to be differentially expressed. The assignment of these genes to biological processes pointed to the deregulation of distinct sets of genes coding for cell junctions in both tumor subtypes. We focused on 17 cell adhesion genes and 11 reported marker genes for epithelial-mesenchymal transition (EMT), and investigated their expression in matched tumor-normal specimens by quantitative real-time PCR. The majority of the cell adhesion genes was significantly up-regulated in at least one tumor subtype compared to normal tissue, predominantly desmosomes and gap junctions in SCC, and tight junctions in AC. The higher expression of EMT marker transcripts in tumor specimens suggested a large potential for invasion and migration processes in NSCLC. Our results indicate that AC and SCC in the lung are characterized by the expression of distinct sets of cell adhesion molecules which may represent promising targets for novel specific therapies.

Molecular cancer phenotype in normal prostate tissue.

BACKGROUND: Insufficient sensitivity and specificity of prostate biopsies for cancer detection. OBJECTIVES: Based on evidence from our microarray analyses, we hypothesized that considerable molecular changes precede morphologically detectable malignant transformation of prostate epithelial tissues. The identification of such changes could lead to novel strategies in the clinical management of prostate cancer. DESIGN, SETTING, AND PARTICIPANTS: Histologically normal, fresh prostate tissue from prostate cancer patients, healthy donors, and cancer suspect patients with continuous negative biopsies were analyzed. MEASUREMENTS: To identify molecular changes between 29 tumor-free prostate tissues from healthy donors and 27 patients with proven prostate cancer, we performed a global microarray screening. Based on this screening as well as literature data, we selected a subset of 29 genes for validation by arrayed real-time reverse transcription-polymerase chain reaction (RT-PCR) using histologically tumor-free biopsy samples from 114 patients representing three prostate cancer risk groups. RESULTS AND LIMITATIONS: We identified five genes (FOS, EGR1, MYC, TFRC, and FOLH1), which displayed significant differential expression between morphologically normal prostate tissues from men of each of the three risk groups. These results were independent from age, prostate-specific antigen (PSA), frequency and timing of previous prostate biopsies, tissue composition, tumor stage, and tumor grade. In univariate logistic regression analyses, the transcript levels of these genes were found to be highly indicative for the presence or absence of cancer in the entire prostate. The study was designed as a proof of principle. The clinical relevance of our results has to be evaluated in a larger clinical setting. CONCLUSIONS: Our results suggest a measurable molecular cancer phenotype in histologically normal prostate tissue indicating the presence of prostate cancer elsewhere in the organ.

Effects of infiltrating lymphocytes and estrogen receptor on gene expression and prognosis in breast cancer.

The involvement of the immune system for the course of breast cancer, as evidenced by varying degrees of lymphocyte infiltration (LI) into the tumor is still poorly understood. The aim of this study was to evaluate the prognostic value of LI in breast cancer samples using microarray-based screening for LI-associated genes. Starting from the observation that most published ER gene signatures are heavily influenced by the LI effect, we developed and applied a novel approach to dissect molecular signatures. Further, a meta-analysis encompassing 1,044 hybridizations showed that LI alone is not sufficient to highlight breast cancer patients with different prognosis. However, for ER positive patients, high LI was associated with shorter survival times, whereas for ER negative patients, high LI is significantly associated with longer survival. Annotation of LI, in addition to ER status, is important for breast cancer patient prognosis and may have implications for the future treatment of breast cancer.

A 15q13.3 microdeletion segregating with autism.

Autism and mental retardation (MR) show high rates of comorbidity and potentially share genetic risk factors. In this study, a rare approximately 2 Mb microdeletion involving chromosome band 15q13.3 was detected in a multiplex autism family. This genomic loss lies between distal break points of the Prader-Willi/Angelman syndrome locus and was first described in association with MR and epilepsy. Together with recent studies that have also implicated this genomic imbalance in schizophrenia, our data indicate that this CNV shows considerable phenotypic variability. Further studies should aim to characterise the precise phenotypic range of this CNV and may lead to the discovery of genetic or environmental modifiers.

Reverse-phase protein arrays for application-orientated cancer research.

A detailed and quantitative analysis of disease-relevant signaling will greatly contribute to our understanding of tumorigenesis and cancer progression, and thus open new strategies for drug discovery. However, throughput and sensitivity of currently established methods available for proteome profiling do not comply with the needs of clinical research such as high sample capacity and low sample consumption. Protein microarrays emerged as a promising alternative to analyze the abundance of proteins and their phosphorylation status on a high-throughput level. Here we summarize recent methodological advancements in the field of reverse-phase protein arrays and demonstrate their potential for clinical research as well as for in vitro applications.

Quantitative protein microarrays for time-resolved measurements of protein phosphorylation.

The quantitative analysis of signaling networks requires highly sensitive methods for the time-resolved determination of protein phosphorylation. For this reason, we developed a quantitative protein microarray that monitors the activation of multiple signaling pathways in parallel, and at high temporal resolution. A label-free sandwich approach was combined with near infrared detection, thus permitting the accurate quantification of low-level phosphoproteins in limited biological samples corresponding to less than 50,000 cells, and with a very low standard deviation of approximately 5%. The identification of suitable antibody pairs was facilitated by determining their accuracy and dynamic range using our customized software package Quantpro. Thus, we are providing an important tool to generate quantitative data for systems biology approaches, and to drive innovative diagnostic applications.

Genetic variation of Aflatoxin B1 aldehyde reductase genes (AFAR) in human tumour cells.

AFAR genes play a key role in the detoxification of the carcinogen Aflatoxin B(1) (AFB(1)). In the rat, Afar1 induction can prevent AFB(1)-induced liver cancer. It has been proposed that AFAR enzymes can metabolise endogenous diketones and dialdehydes that may be cytotoxic and/or genotoxic. Furthermore, human AFAR1 catalyses the rate limiting step in the synthesis of the neuromodulator gamma-hydroxybutyrate (GHB) and was found elevated in neurodegenerative diseases such as Alzheimer's and dementia with Lewy bodies (DLB). The human AFAR gene family maps to a genomic region in 1p36 of frequent hemizygous deletions in various human cancers. To investigate, if genetic variation of AFAR1 and AFAR2 exists that may alter protein detoxification capabilities and confer susceptibility to cancer, we have analysed a spectrum of human tumours and tumour cell lines for genetic heterogeneity. From 110 DNA samples, we identified nine different amino acid changes; two were in AFAR1 and seven in AFAR2. In AFAR1, we found genetic variation in the proposed substrate-binding amino acid 113, encoding Ala(113) or Thr(113). An AFAR2 variant had a Glu(55) substituted by Lys(55) at a position that is conserved among many aldo-keto reductases. This polarity change may have an effect on the proposed substrate binding amino acids nearby (Met(47), Tyr(48), Asp(50)). Further population analyses and functional studies of the nine variants detected may show if these variants are disease-related.

Predicting pathway membership via domain signatures.

MOTIVATION: Functional characterization of genes is of great importance for the understanding of complex cellular processes. Valuable information for this purpose can be obtained from pathway databases, like KEGG. However, only a small fraction of genes is annotated with pathway information up to now. In contrast, information on contained protein domains can be obtained for a significantly higher number of genes, e.g. from the InterPro database. RESULTS: We present a classification model, which for a specific gene of interest can predict the mapping to a KEGG pathway, based on its domain signature. The classifier makes explicit use of the hierarchical organization of pathways in the KEGG database. Furthermore, we take into account that a specific gene can be mapped to different pathways at the same time. The classification method produces a scoring of all possible mapping positions of the gene in the KEGG hierarchy. Evaluations of our model, which is a combination of a SVM and ranking perceptron approach, show a high prediction performance. Moreover, for signaling pathways we reveal that it is even possible to forecast accurately the membership to individual pathway components. AVAILABILITY: The R package gene2pathway is a supplement to this article.

Antibody microarrays as an experimental platform for the analysis of signal transduction networks.

A significant bottleneck for the time-resolved and quantitative description of signaling networks is the limited sample capacity and sensitivity of existing methods. Recently, antibody microarrays have emerged as a promising experimental platform for the quantitative and comprehensive determination of protein abundance and protein phosphorylation. This review summarizes the development of microarray applications involving antibody-based capture of target proteins with a focus on quantitative applications. Technical aspects regarding the production of antibody microarrays, identification of suitable detection and capture antibody pairs, signal detection methods, detection limit, and data analysis are discussed in detail.

Genomic analysis reveals poor separation of human cardiomyopathies of ischemic and nonischemic etiologies.

Clinically, the differentiation between ischemic (ICM) and nonischemic (NICM) human cardiomyopathies is highly relevant, because ICM and NICM differ with respect to prognosis and certain aspects of pharmacological therapy, despite a common final phenotype characterized by ventricular dilatation and reduced contractility. So far, it is unclear whether microarray-based signatures can be used to infer the etiology of heart failure. Using three different classification algorithms, we independently analyzed one cDNA and two publicly available high-density oligonucleotide microarray studies comprising a total of 279 end-stage human heart failure samples. When classifiers identified in a single study were applied to the remaining studies, misclassification rates >25% for ICM and NICM specimens were noted, indicating poor separation of both etiologies. However, data mining of 458 classifier genes that were concordantly identified in at least two of the three data sets points to different biological processes in ICM vs. NICM. Consistent with the underlying ischemia, cytokine signaling pathways and immediate-early response genes were overrepresented in ICM samples, whereas NICM samples displayed a deregulation of cytoskeletal transcripts, genes encoding for the major histocompatibility complex, and antigen processing and presentation pathways, potentially pointing to immunologic processes in NICM. Overall, our results suggest that ICM and NICM exhibit substantial heterogeneity at the transcriptomic level. Prospective studies are required to test whether etiology-specific gene expression patterns are present at earlier disease stages or in subsets of both etiologies.