AURKA overexpression accompanies dysregulation of DNA-damage response genes in invasive urothelial cell carcinoma

Invasive urothelial cell carcinoma (UCC) is characterized by increased chromosomal instability and follows an aggressive clinical course in contrast to non-invasive disease. To identify molecular processes that confer and maintain an aggressive malignant phenotype, we used a high-throughput genome-wide approach to interrogate a cohort of high and low clinical risk UCC tumors. Differential expression analyses highlighted cohesive dysregulation of critical genes involved in the G(2)/M checkpoint in aggressive UCC. Hierarchical clustering based on DNA Damage Response (DDR) genes separated tumors according to a pre-defined clinical risk phenotype. Using array-comparative genomic hybridization, we confirmed that the DDR was disrupted in tumors displaying high genomic instability. We identified DNA copy number gains at 20q13.2-q13.3 (AURKA locus) and determined that overexpression of AURKA accompanied dysregulation of DDR genes in high risk tumors. We postulated that DDR-deficient UCC tumors are advantaged by a selective pressure for AURKA associated override of M phase barriers and confirmed this in an independent tissue microarray series. This mechanism that enables cancer cells to maintain an aggressive phenotype forms a rationale for targeting AURKA as a therapeutic strategy in advanced stage UCC.

Alterations in beta-catenin expression and localization in prostate cancer

BACKGROUND: Wnt signaling is thought to be important in prostate cancer, in part because proteins such as beta-catenin can also affect androgen receptor signaling. beta-Catenin forms a cell adhesion complex with E-cadherin raising the possibility that loss of expression or a change in beta-catenin distribution in the cell could also alter downstream signaling, decreased inter-cellular adhesion and the promotion of metastasis. A number of studies have reported the altered expression and/or localization of beta-catenin as a biomarker in prostate cancer.

METHODS: Tissue microarrays comprised of BPH and low, moderate and high-grade prostate cancer (n=77) were assessed for beta-catenin expression and distribution using immunohistochemistry. Staining was also performed on a tissue microarray containing tissue from patients before and after hormone manipulation. The effects of fixation and different antibodies was assessed on fixed LNCaP cell pellets and small prostate tissue microarrays.

RESULTS: We have observed increased beta-catenin expression in only high Gleason score (>7) prostate cancer. A nuclear re-distribution of beta-catenin has previously been reported. We noted nuclear beta-catenin in benign prostatic hyperplasia and a gradual loss in nuclear distribution with increasing Gleason grade. We found no evidence for an alteration in beta-catenin expression or re-distribution with hormone ablation. Altered fixation, antibodies and antibody concentration did affect the intensity and specificity of staining.

CONCLUSIONS: A loss of nuclear beta-catenin is the most consistent feature in prostate cancer rather than absolute levels of expression. We also suggest that variation in immunohistochemical protocols may explain variations in the reported literature.

Promoter methylation correlates with reduced Smad4 expression in advanced prostate cancer

BACKGROUND: Transforming growth factor-beta (TGF-beta) is a potent growth inhibitor in a wide range of cell types. A transducer of TGF-beta signaling known as Mothers against decapentaplegic homologue 4 (Smad4) is a known tumor suppressor found on chromosome 18q21.1 and is typically inactivated by deletion or mutation in pancreatic and colorectal cancers. The purpose of the article is to investigate Smad4 expression, gene copy number and methylation status in advanced cases of prostate cancer.

METHODS: We have employed Methylation Specific PCR (MSP) to identify methylation sites within the Smad4 promoter and combined this with quantitative real-time PCR to look for correlates between methylation status and Smad4 expression and to examine androgen receptor (AR) expression. Bacterial artificial chromosome-comparative genomic hybridization (BAC-CGH) has been used to look for genomic amplifications and deletions which may also contribute to expression changes.

RESULTS: We fail to find evidence of genomic deletions or amplifications affecting the Smad4 locus on chromosome 18 but show a correlation between promoter methylation and the loss of Smad4 expression in the same material. We confirm that the AR locus on the X chromosome is amplified in 30% of the advanced clinical samples and that this correlates with increased transcript levels as previously reported by other groups.

CONCLUSION: This indicates that epigenetic changes affect the expression of the Smad4 protein in prostate cancer and points to methylation of the promoter as a novel marker of and contributor to the disease warranting further study.

Effects of LL-37 on Human Gingival Fibroblast Function

Background and Objectives: Gingival fibroblasts play a significant role in the innate immune response of the periodontium to bacterial stimulation. A number of microorganisms and their by-products induce a host response that commonly leads to tissue destruction and periodontal disease progression. LL-37 is an antimicrobial peptide which has multiple roles in host defence including immunomodulation and wound-healing. We have investigated the role of LL-37 on the responsiveness of human gingival fibroblasts to microbial challenge from E. coli lipopolysaccharide (LPS) and P. gingivalis LPS, as well as exploring the direct effects of LL-37 on human gingival fibroblasts. Methods: The effect of LL-37 on bacterial LPS-induced expression of IL-6 and IL-8 by gingival fibroblasts was determined by ELISA. The influence of LL-37 on bacterial LPS-induced IκBα degradation in human gingival fibroblasts was investigated by western blot. The direct effects of LL-37 on modulating gingival fibroblasts gene expression were initially determined by DNA microarray analysis and subsequently confirmed by quantitative polymerase chain reaction (Q-PCR) and ELISA analysis of 9 selected genes. Results: Bacterial LPS-induced IL-8 and IL-6 production by human gingival fibroblasts were significantly reduced in the presence of LL-37 at concentrations in the range of 1-10 µg/ml (p<0.05). The presence of LL-37 at a concentration of 5 µg/ml led to a reduction in LPS-induced IκBα degradation by E. coli LPS (100 ng/ml) and P. gingivalis LPS (10 µg/ml). LL-37 (50 µg/ml) significantly altered the gene expression of 367 genes in human gingival fibroblasts by at least 2-fold. CXCL1, CXCL2, CXCL3, IL-24, IL-8, CCL2, and SOCS3 mRNA were significantly upregulated by LL-37 (p<0.05). LL-37 also significantly stimulated expression of IL-8, hepatocyte growth factor (HGF) and CXCL1 (p<0.05) at the protein level. Discussion: LL-37 plays an important role in the innate immune response due to its broad spectrum antimicrobial and immunomodulatory activity. The ability of LL-37 to directly regulate expression of a range of genes, central to the pathogenesis of periodontitis, identifies multiple roles for the peptide in host homeostasis.

The role of antimicrobial peptides in periodontal disease.

Objectives Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

Function of host defence peptide LL-37 in human periodontal disease.

Objectives: Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods: Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results: At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL-37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion: The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

The role of the cathelicidin LL-37 in periodontal disease.

Abstract Background Fibroblasts respond to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. As such fibroblasts play a significant role as regulators of the host response in periodontal disease. LL-37, an antimicrobial peptide, found in saliva and GCF, inhibits LPS-induced cytokine signalling in macrophages, suggesting a role in host defence in periodontal disease. This study investigated the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and also its effect on fibroblast response to LPS activation. Methods Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (0.01µg/ml) along with LL-37 (0-50µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Results At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL37 induced IL-8 production independent of LPS. Microarray analysis revealed that LL-37 upregulated a significant number of cytokines and chemokines by > 5 fold. The stimulatory effect on IL-8 mRNA expression was confirmed by Q-PCR. Conclusion LL-37 appears to have pleiotrophic effects in innate immunity. Its ability, at low concentrations, to reduce bacterial LPS-induced cytokine production in gingival fibroblasts suggests a potential therapeutic role in the management of periodontal disease.

SNP discovery using Next Generation Transcriptomic Sequencing in Atlantic herring (Clupea harengus)

The introduction of Next Generation Sequencing (NGS) has revolutionised population genetics, providing studies of non-model species with unprecedented genomic coverage, allowing evolutionary biologists to address questions previously far beyond the reach of available resources. Furthermore, the simple mutation model of Single Nucleotide Polymorphisms (SNPs) permits cost-effective high-throughput genotyping in thousands of individuals simultaneously. Genomic resources are scarce for the Atlantic herring (Clupea harengus), a small pelagic species that sustains high revenue fisheries. This paper details the development of 578 SNPs using a combined NGS and high-throughput genotyping approach. Eight individuals covering the species distribution in the eastern Atlantic were bar-coded and multiplexed into a single cDNA library and sequenced using the 454 GS FLX platform. SNP discovery was performed by de novo sequence clustering and contig assembly, followed by the mapping of reads against consensus contig sequences. Selection of candidate SNPs for genotyping was conducted using an in silico approach. SNP validation and genotyping were performed simultaneously using an Illumina 1,536 GoldenGate assay. Although the conversion rate of candidate SNPs in the genotyping assay cannot be predicted in advance, this approach has the potential to maximise cost and time efficiencies by avoiding expensive and time-consuming laboratory stages of SNP validation. Additionally, the in silico approach leads to lower ascertainment bias in the resulting SNP panel as marker selection is based only on the ability to design primers and the predicted presence of intron-exon boundaries. Consequently SNPs with a wider spectrum of minor allele frequencies (MAFs) will be genotyped in the final panel. The genomic resources presented here represent a valuable multi-purpose resource for developing informative marker panels for population discrimination, microarray development and for population genomic studies in the wild.

Genomic markers for decision making:What is preventing us from using markers?

The advent of novel genomic technologies that enable the evaluation of genomic alterations on a genome-wide scale has significantly altered the field of genomic marker research in solid tumors. Researchers have moved away from the traditional model of identifying a particular genomic alteration and evaluating the association between this finding and a clinical outcome measure to a new approach involving the identification and measurement of multiple genomic markers simultaneously within clinical studies. This in turn has presented additional challenges in considering the use of genomic markers in oncology, such as clinical study design, reproducibility and interpretation and reporting of results. This Review will explore these challenges, focusing on microarray-based gene-expression profiling, and highlights some common failings in study design that have impacted on the use of putative genomic markers in the clinic. Despite these rapid technological advances there is still a paucity of genomic markers in routine clinical use at present. A rational and focused approach to the evaluation and validation of genomic markers is needed, whereby analytically validated markers are investigated in clinical studies that are adequately powered and have pre-defined patient populations and study endpoints. Furthermore, novel adaptive clinical trial designs, incorporating putative genomic markers into prospective clinical trials, will enable the evaluation of these markers in a rigorous and timely fashion. Such approaches have the potential to facilitate the implementation of such markers into routine clinical practice and consequently enable the rational and tailored use of cancer therapies for individual patients. © 2010 Macmillan Publishers Limited. All rights reserved.

Prognostic and predictive markers in colorectal cancer - The role of new genomic technologies

Colorectal cancer (CRC) is one of the most frequently occurring malignancies worldwide, and the second leading cause of cancer related death in the Western World. Although early stage disease is curable by surgical resection alone, one half of patients with CRC will present with metastatic disease at some stage in the course of their disease. The most active drug in the treatment of CRC is 5-fluorouracil (5-FU) which is used in both the adjuvant and advanced settings. The use of adjuvant therapy is of proven benefit in Stage III CRC, however, its role in Stage II disease is less clear. There is therefore a need to identify those patients with early stage disease who will develop recurrent disease, and who would therefore benefit most from adjuvant treatment. In the advanced setting, the use of irinotecan and oxaliplatin in combination with 5-FU has proven beneficial, with yet further improvements in survival reported with the addition of new targeted agents such as bevacizamab. Despite this, a significant number of patients with advanced disease do not derive any benefit from the chemotherapy they receive, highlighting a need for the development of molecular or genomic markers predictive of response to these chemotherapeutic agents. This review will evaluate the recent advances in pharmacogenomics in CRC, in particular the development of predictive markers of response to chemotherapy. The successful identification of these markers of response will herald an era of personalised treatment, reducing treatment-related toxicity and improving outcome of patients with CRC. -cr 2007 Bentham Science Publishers Ltd.

Natural Killer Cell-like signature observed in locally advanced rectal cancer after neoadjuvant chemoradiotherapy in a tumour regression grade dependent manner

Background: Around 10-15% of patients with locally advanced rectal cancer (LARC) undergo a pathologically complete response (TRG4) to neoadjuvant chemoradiotherapy; the rest of patients exhibit a spectrum of tumour regression (TRG1-3). Understanding therapy-related genomic alterations may help us to identify underlying biology or novel targets associated with response that could increase the efficacy of therapy in patients that do not benefit from the current standard of care.
Methods: 48 FFPE rectal cancer biopsies and matched resections were analysed using the WG-DASL HumanHT-12_v4 Beadchip array on the illumina iScan. Bioinformatic analysis was conducted in Partek genomics suite and R studio. Limma and glmnet packages were used to identify genes differentially expressed between tumour regression grades. Validation of microarray results will be carried out using IHC, RNAscope and RT-PCR.
Results: Immune response genes were observed from supervised analysis of the biopsies which may have predictive value. Differential gene expression from the resections as well as pre and post therapy analysis revealed induction of genes in a tumour regression dependent manner. Pathway mapping and Gene Ontology analysis of these genes suggested antigen processing and natural killer mediated cytotoxicity respectively. The natural killer-like gene signature was switched off in non-responders and on in the responders. IHC has confirmed the presence of Natural killer cells through CD56+ staining.
Conclusion: Identification of NK cell genes and CD56+ cells in patients responding to neoadjuvant chemoradiotherapy warrants further investigation into their association with tumour regression grade in LARC. NK cells are known to lyse malignant cells and determining whether their presence is a cause or consequence of response is crucial. Interrogation of the cytokines upregulated in our NK-like signature will help guide future in vitro models.

Distribution, occurrence and biotoxin composition of the main shellfish toxin producing microalgae within European waters: A comparison of methods of analysis

Harmful algal blooms (HABs) are a natural global phenomena emerging in severity and extent. Incidents have many economic, ecological and human health impacts. Monitoring and providing early warning of toxic HABs are critical for protecting public health. Current monitoring programmes include measuring the number of toxic phytoplankton cells in the water and biotoxin levels in shellfish tissue. As these efforts are demanding and labour intensive, methods which improve the efficiency are essential. This study compares the utilisation of a multitoxin surface plasmon resonance (multitoxin SPR) biosensor with enzyme-linked immunosorbent assay (ELISA) and analytical methods such as high performance liquid chromatography with fluorescence detection (HPLC-FLD) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) for toxic HAB monitoring efforts in Europe. Seawater samples (n = 256) from European waters, collected 2009-2011, were analysed for biotoxins: saxitoxin and analogues, okadaic acid and dinophysistoxins 1/2 (DTX1/DTX2) and domoic acid responsible for paralytic shellfish poisoning (PSP), diarrheic shellfish poisoning (DSP) and amnesic shellfish poisoning (ASP), respectively. Biotoxins were detected mainly in samples from Spain and Ireland. France and Norway appeared to have the lowest number of toxic samples. Both the multitoxin SPR biosensor and the RNA microarray were more sensitive at detecting toxic HABs than standard light microscopy phytoplankton monitoring. Correlations between each of the detection methods were performed with the overall agreement, based on statistical 2 × 2 comparison tables, between each testing platform ranging between 32% and 74% for all three toxin families illustrating that one individual testing method may not be an ideal solution. An efficient early warning monitoring system for the detection of toxic HABs could therefore be achieved by combining both the multitoxin SPR biosensor and RNA microarray.