TLR signaling is required for Salmonella typhimurium virulence.

Toll-like receptors (TLRs) contribute to host resistance to microbial pathogens and can drive the evolution of virulence mechanisms. We have examined the relationship between host resistance and pathogen virulence using mice with a functional allele of the nramp-1 gene and lacking combinations of TLRs. Mice deficient in both TLR2 and TLR4 were highly susceptible to the intracellular bacterial pathogen Salmonella typhimurium, consistent with reduced innate immune function. However, mice lacking additional TLRs involved in S. typhimurium recognition were less susceptible to infection. In these TLR-deficient cells, bacteria failed to upregulate Salmonella pathogenicity island 2 (SPI-2) genes and did not form a replicative compartment. We demonstrate that TLR signaling enhances the rate of acidification of the Salmonella-containing phagosome, and inhibition of this acidification prevents SPI-2 induction. Our results indicate that S. typhimurium requires cues from the innate immune system to regulate virulence genes necessary for intracellular survival, growth, and systemic infection.

Investigating the genome diversity of B. cereus and evolutionary aspects of B. anthracis emergence.

Here we report the use of a multi-genome DNA microarray to investigate the genome diversity of Bacillus cereus group members and elucidate the events associated with the emergence of Bacillus anthracis the causative agent of anthrax-a lethal zoonotic disease. We initially performed directed genome sequencing of seven diverse B. cereus strains to identify novel sequences encoded in those genomes. The novel genes identified, combined with those publicly available, allowed the design of a "species" DNA microarray. Comparative genomic hybridization analyses of 41 strains indicate that substantial heterogeneity exists with respect to the genes comprising functional role categories. While the acquisition of the plasmid-encoded pathogenicity island (pXO1) and capsule genes (pXO2) represents a crucial landmark dictating the emergence of B. anthracis, the evolution of this species and its close relatives was associated with an overall shift in the fraction of genes devoted to energy metabolism, cellular processes, transport, as well as virulence.

SMAD6 contributes to patient survival in non-small cell lung cancer and its knockdown reestablishes TGF-beta homeostasis in lung cancer cells.

The malignant transformation in several types of cancer, including lung cancer, results in a loss of growth inhibition by transforming growth factor-beta (TGF-beta). Here, we show that SMAD6 expression is associated with a reduced survival in lung cancer patients. Short hairpin RNA (shRNA)-mediated knockdown of SMAD6 in lung cancer cell lines resulted in reduced cell viability and increased apoptosis as well as inhibition of cell cycle progression. However, these results were not seen in Beas2B, a normal bronchial epithelial cell line. To better understand the mechanism underlying the association of SMAD6 with poor patient survival, we used a lentivirus construct carrying shRNA for SMAD6 to knock down expression of the targeted gene. Through gene expression analysis, we observed that knockdown of SMAD6 led to the activation of TGF-beta signaling through up-regulation of plasminogen activator inhibitor-1 and phosphorylation of SMAD2/3. Furthermore, SMAD6 knockdown activated the c-Jun NH2-terminal kinase pathway and reduced phosphorylation of Rb-1, resulting in increased G0-G1 cell arrest and apoptosis in the lung cancer cell line H1299. These results jointly suggest that SMAD6 plays a critical role in supporting lung cancer cell growth and survival. Targeted inactivation of SMAD6 may provide a novel therapeutic strategy for lung cancers expressing this gene.

Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival.

BACKGROUND: Tobacco smoking is responsible for over 90% of lung cancer cases, and yet the precise molecular alterations induced by smoking in lung that develop into cancer and impact survival have remained obscure. METHODOLOGY/PRINCIPAL FINDINGS: We performed gene expression analysis using HG-U133A Affymetrix chips on 135 fresh frozen tissue samples of adenocarcinoma and paired noninvolved lung tissue from current, former and never smokers, with biochemically validated smoking information. ANOVA analysis adjusted for potential confounders, multiple testing procedure, Gene Set Enrichment Analysis, and GO-functional classification were conducted for gene selection. Results were confirmed in independent adenocarcinoma and non-tumor tissues from two studies. We identified a gene expression signature characteristic of smoking that includes cell cycle genes, particularly those involved in the mitotic spindle formation (e.g., NEK2, TTK, PRC1). Expression of these genes strongly differentiated both smokers from non-smokers in lung tumors and early stage tumor tissue from non-tumor tissue (p<0.001 and fold-change >1.5, for each comparison), consistent with an important role for this pathway in lung carcinogenesis induced by smoking. These changes persisted many years after smoking cessation. NEK2 (p<0.001) and TTK (p = 0.002) expression in the noninvolved lung tissue was also associated with a 3-fold increased risk of mortality from lung adenocarcinoma in smokers. CONCLUSIONS/SIGNIFICANCE: Our work provides insight into the smoking-related mechanisms of lung neoplasia, and shows that the very mitotic genes known to be involved in cancer development are induced by smoking and affect survival. These genes are candidate targets for chemoprevention and treatment of lung cancer in smokers.

Alpha-methylacyl CoA racemase in pulmonary adenocarcinoma, squamous cell carcinoma, and neuroendocrine tumors: expression and survival analysis.

CONTEXT: Alpha-methylacyl CoA racemase (AMACR) is an oxidative enzyme involved in isomeric transformation of fatty acids entering the beta-oxidation pathway. AMACR serves as a useful marker in establishing a diagnosis of prostatic malignancy; however, limited information is available in regard to its presence in pulmonary neoplasms. OBJECTIVE: To investigate AMACR expression within a spectrum of lung carcinomas and its correlation with patients' survival. DESIGN: Four hundred seventy-seven pulmonary carcinomas, including 150 squamous cell carcinomas, 150 adenocarcinomas, 46 typical carcinoids, 31 atypical carcinoids, 28 large cell neuroendocrine carcinomas, and 72 small cell carcinomas, were studied immunohistochemically using tissue microarray-based samples. RESULTS: Overall, pulmonary tumors were positive for AMACR in a significant percentage (47%) of cases. Among tumor types, 22% of squamous cell carcinoma, 56% of adenocarcinoma, 72% of typical carcinoid, 52% of atypical carcinoid, 70% of large cell neuroendocrine carcinoma, and 51% of small cell lung carcinoma were positive for AMACR. Furthermore, the Kaplan-Meier analysis revealed that the patients with AMACR-positive small cell carcinoma had better survival (19% vs 5% after 5 years, P = .04) than patients with AMACR-negative tumors. Such survival advantage was seen for patients with stage I-II (P = .01) but not stage III-IV small cell carcinomas (P = .58). CONCLUSIONS: These results indicate that, similar to prostate cancer, the overexpression of AMACR frequently occurs in pulmonary carcinomas. Additionally, its positive correlation with outcome of stage I-II small cell lung carcinoma warrants further investigation of the AMACR role in the prognosis of this tumor.

Systematic analysis of genetic alterations in tumors using Cancer Genome WorkBench (CGWB).

Systematic investigations of genetic changes in tumors are expected to lead to greatly improved understanding of cancer etiology. To meet the analytical challenges presented by such studies, we developed the Cancer Genome WorkBench (http://cgwb.nci.nih.gov), the first computational platform to integrate clinical tumor mutation profiles with the reference human genome. A novel heuristic algorithm, IndelDetector, was developed to automatically identify insertion/deletion (indel) polymorphisms as well as indel somatic mutations with high sensitivity and accuracy. It was incorporated into an automated pipeline that detects genetic alterations and annotates their effects on protein coding and 3D structure. The ability of the system to facilitate identifying genetic alterations is illustrated in three projects with publicly accessible data. Mutagenesis in tumor DNA replication leading to complex genetic changes in the EGFR kinase domain is suggested by a novel deletion-insertion combination observed in paired tumor-normal lung cancer resequencing data. Automated analysis of 152 genes resequenced by the SeattleSNPs group was able to identify 91% of the 1251 indel polymorphisms discovered by SeattleSNPs. In addition, our system discovered 518 novel indels in this data set, 451 of which were found to be valid by manual inspection of sequence traces. Our experience demonstrates that CGWB not only greatly improves the productivity and the accuracy of mutation identification, but also, through its data integration and visualization capabilities, facilitates identification of underlying genetic etiology.

Inactivation of LLC1 gene in nonsmall cell lung cancer.

Serial analysis of gene expression studies led us to identify a previously unknown gene, c20orf85, that is present in the normal lung epithelium but absent or downregulated in most primary nonsmall cell lung cancers and lung cancer cell lines. We named this gene LLC1 for Low in Lung Cancer 1. LLC1 is located on chromosome 20q13.3 and has a 70% GC content in the promoter region. It has 4 exons and encodes a protein containing 137 amino acids. By in situ hybridization, we observed that LLC1 message is localized in normal lung bronchial epithelial cells but absent in 13 of 14 lung adenocarcinoma and 9 out of 10 lung squamous carcinoma samples. Methylation at CpG sites of the LLC1 promoter was frequently observed in lung cancer cell lines and in a fraction of primary lung cancer tissues. Treatment with 5-aza deoxycytidine resulted in a reduced methylation of the LLC1 promoter concomitant with the increase of LLC1 expression. These results suggest that inactivation of LLC1 by means of promoter methylation is a frequent event in nonsmall cell lung cancer and may play a role in lung tumorigenesis.

Desmoglein 3 as a prognostic factor in lung cancer.

Desmoglein 3 is a desmosomal protein of the cadherin family. Our cDNA expression profile demonstrated that desmoglein 3 was highly expressed in squamous cell carcinoma of the lung but not detected in pulmonary adenocarcinoma or normal lung. To investigate the clinical significance of desmoglein 3 in lung cancer, we surveyed its expression in primary non-small-cell lung cancers and neuroendocrine tumors. We used immunohistochemical analysis to examine the expression of desmoglein 3 by using tissue microarrays containing samples from 300 surgical non-small-cell lung cancer and 183 lung neuroendocrine tumor. Staining status was determined based on the sum of the distribution score (0, 1, or 2) and the intensity score (0, 1, 2, or 3) of the staining signal. Follow-up was available for 346 cases (median follow-up of 2.8 years). We determined the survival statistical significance of desmoglein 3 by using the log-rank test, and we plotted Kaplan-Meier curves. Negative immunohistochemical staining with desmoglein 3 was associated with shorter survival for all lung cancer patients regardless of the histologic subtype (5-year survival of 20.9% versus 49.5%, P < .001) in our series. In patients with atypical carcinoid tumors, lacking desmoglein 3 expression showed a 5-year survival of 0% compared with 36.8% for desmoglein 3-positive cases (P < .001). Desmoglein 3 status indicated a poor prognosis in lung cancers and portends a more aggressive behavior for atypical carcinoid tumors.

Distinguishing lung tumours from normal lung based on a small set of genes.

Identifying specific molecular markers and developing sensitive detection methods are two of the fundamental requirements for detection and differential diagnosis of cancer. Toward this goal, we first performed cDNA array analysis using 65 non-small cell lung cancer and non-involved normal lung tissues. We then used several complementary statistical and analytical methods to examine gene expression profiles generated by us and others from four independent sets of normal and neoplastic lung tissues. We report here that several sets of roughly 20 genes were sufficient to provide a robust distinction between normal and neoplastic tissues of the lung. Next we assessed the predictive ability of these gene sets by using Flow-Thru Chips (FTC) (MetriGenix, Baltimore, MD) containing 20 genes to screen 48 primary lung tumours and normal lung tissues. Gene expression changes detected by FTC distinguished lung cancers from the normal lung tissues using an RNA amount equivalent to that present in as few as 300 cells. We also used an independent set of 24 genes and showed that their expression profile was equally effective when measured by quantitative polymerase chain reaction (Q-PCR). Our results demonstrate that lung cancers can be identified based on the expression patterns of just 20 genes and that this approach is applicable for cancer diagnosis, prognosis, and monitoring using small amount of tumour or biopsy samples.

Mutations in the tyrosine kinase domain of the epidermal growth factor receptor in non-small cell lung cancer.

We evaluated somatic genetic alterations in the kinase domain of the EGFR gene in the tumors of 219 non-small cell lung cancer patients of primarily Caucasian and African American origins. We identified 26 patients (12%) whose tumors had a mutation in the EGFR gene, and 11 (5%) patients carried novel genomic variations consistent with germ-line polymorphisms. All but one mutation were identified in Caucasian patients affected with adenocarcinoma. EGFR mutations were more frequent in women and in nonsmokers, but a significant portion of the affected patients were men (12 of 26) and current or past smokers accounted for half of the patients affected (13 of 26). Screening subjects with EGFR mutations may identify patients whose tumors could respond to targeted therapy using tyrosine kinase inhibitors.

Chromatin remodeling factors and BRM/BRG1 expression as prognostic indicators in non-small cell lung cancer.

We immunohistochemically examined 12 core proteins involved in the chromatin remodeling machinery using a tissue microarray composed of 150 lung adenocarcinoma (AD) and 150 squamous cell carcinoma (SCC) cases. Most of the proteins showed nuclear staining, whereas some also showed cytoplasmic or membranous staining. When the expression patterns of all tested antigens were considered, proteins with nuclear staining clustered into two major groups. Nuclear signals of BRM, Ini-1, retinoblastoma, mSin3A, HDAC1, and HAT1 clustered together, whereas nuclear signals of BRG1, BAF155, HDAC2, BAF170, and RbAP48 formed a second cluster. Additionally, two thirds of the cases on the lung tissue array had follow-up information, and survival analysis was performed for each of the tested proteins. Positive nuclear BRM (N-BRM) staining correlated with a favorable prognosis in SCC and AD patients with a 5 year-survival of 53.5% compared with 32.3% for those whose tumors were negative for N-BRM (P = 0.015). Furthermore, patients whose tumors stained positive for both N-BRM and nuclear BRG1 had a 5 year-survival of 72% compared with 33.6% (P = 0.013) for those whose tumors were positive for either or negative for both markers. In contrast, membranous BRM (M-BRM) staining correlated with a poorer prognosis in AD patients with a 5 year-survival of 16.7% compared with those without M-BRM staining (38.1%; P = 0.016). These results support the notion that BRM and BRG1 participate in two distinct chromosome remodeling complexes that are functionally complementary and that the nuclear presence of BRM, its coexpression with nuclear BRG1, and the altered cellular localization of BRM (M-BRM) are useful markers for non-small cell lung cancer prognosis.

Identification of TDE2 gene and its expression in non-small cell lung cancer.

TDE2, a gene with sequence similarity to the mouse testicular tumor-differentially-expressed (Tde1/MUSTETU) gene, was identified by serial analysis of gene expression (SAGE) in nonsmall cell lung cancers (NSCLC). Here we characterized the TDE2 gene and determined its transcript levels in a panel of lung tumors, adjacent nonmalignant lung tissues and a variety of normal human tissues. In addition, we show that TDE2 is a potential transmembrane protein with 11 putative transmembrane helices. Using real-time quantitative PCR, we showed that TDE2 transcript levels were higher in NSCLC compared to nonmalignant samples. In nonpulmonary normal tissues, the level of TDE2 was the highest in bladder, kidney and muscle; moderate to low in stomach, liver, skin, placenta and ovary tissues; and undetectable in brain, spleen and heart. By in situ hybridization, we showed that 10 of 18 lung tumors and only 1 of 14 adjacent nonmalignant regions had high levels of TDE2 transcripts. Alternatively, only 2 of 18 tumors and 8 of 14 adjacent nonmalignant bronchiole epithelium regions demonstrated negative to low levels of TDE2 signals.

DeltaNp63alpha and TAp63alpha regulate transcription of genes with distinct biological functions in cancer and development.

The p63 gene shows remarkable structural similarity to the p53 and p73 genes. Because of two promoters, the p63 gene generates two types of protein isoforms, TAp63 and DeltaNp63. Each type yields three isotypes (alpha, beta, gamma) because of differential splicing of the p63 COOH terminus. The purpose of this study was to determine whether there is a functional link between the distinct p63 isotypes in their transcriptional regulation of downstream targets and their role in various cellular functions. TAp63alpha and DeltaNp63alpha adenovirus expression vectors were introduced into Saos2 cells for 4 and 24 h, and then gene profiling was performed using a DNA microarray chip analysis. Seventy-four genes (>2-fold change in expression) were identified that overlapped between two independent studies. Thirty-five genes were selected for direct expression testing of which 27 were confirmed by reverse transcription-PCR or Northern blot analysis. A survey of these genes shows that p63 can regulate a wide range of downstream gene targets with various cellular functions, including cell cycle control, stress, and signal transduction. Our study thus revealed p63 transcriptional regulation of many genes in cancer and development while often demonstrating opposing regulatory functions for TAp63alpha and DeltaNp63alpha.

A preliminary transcriptome map of non-small cell lung cancer.

We constructed a genome-wide transcriptome map of non-small cell lung carcinomas based on gene-expression profiles generated by serial analysis of gene expression (SAGE) using primary tumors and bronchial epithelial cells of the lung. Using the human genome working draft and the public databases, 25,135 nonredundant UniGene clusters were mapped onto unambiguous chromosomal positions. Of the 23,056 SAGE tags that appeared more than once among the nine SAGE libraries, 11,156 tags representing 7,097 UniGene clusters were positioned onto chromosomes. A total of 43 and 55 clusters of differentially expressed genes were observed in squamous cell carcinoma and adenocarcinoma, respectively. The number of genes in each cluster ranged from 18 to 78 in squamous cell carcinomas and from 20 to 165 in adenocarcinomas. The size of these clusters varied from 1.8 Mb to 65.5 Mb in squamous cell carcinomas and from 1.6 Mb to 98.1 Mb in adenocarcinomas. Overall, the clusters with genes over-represented in tumors had an average of 3-4-fold increase in gene expression compared with the normal control. In contrast, clusters of genes with reduced expression had about 50-65% of the gene expression level compared with the normal. Examination of clusters identified in squamous cell lung cancer suggested that 9 of 15 clusters with overexpressed genes and 13 of 28 clusters with underexpressed genes were concordant with previously reported cytogenetic, comparative genomic hybridization or loss of heterozygosity studies. Therefore, at least a portion of the gene clusters identified via the transcriptome map most likely represented the transcriptional or genetic alterations occurred in the tumors. Integrating chromosomal mapping information with gene expression profiles may help reveal novel molecular changes associated with human lung cancer.

Oncogenic beta-catenin is required for bone morphogenetic protein 4 expression in human cancer cells.

Somatic cell gene targeting was used to create an isogenic set of human colon cancer cells that differs only in the presence or absence of their endogenous activated beta-catenin oncogene. Affymetrix Genechip expression profiling of parental cells and gene-targeted derivatives identified numerous novel genes whose expression was dependent on the presence of oncogenic beta-catenin. The transforming growth factor-beta family member bone morphogenetic protein 4 (BMP4), whose receptor is mutated in a rare inherited gastrointestinal cancer predisposition syndrome, was the most highly differentially expressed gene. Additional experiments revealed that the oncogenic allele of beta-catenin specifically is absolutely required for BMP4 expression and secretion by human cancer cells and that BMP4 is overexpressed and secreted by human colon cancer cells with mutant adenomatous polyposis coli genes. These data identify the presence of regulatory interactions between the Wnt and BMP signaling pathways in cancer pathogenesis, providing an intriguing connection between the sporadic and inherited forms of a common human malignancy.