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Two independent regions within HNF1B are consistently identified in prostate and ovarian cancer genome-wide association studies (GWAS); their functional roles are unclear. We link prostate cancer (PC) risk SNPs rs11649743 and rs3760511 with elevated HNF1B gene expression and allele-specific epigenetic silencing, and outline a mechanism by which common risk variants could effect functional changes that increase disease risk: functional assays suggest that HNF1B is a pro-differentiation factor that suppresses epithelial-to-mesenchymal transition (EMT) in unmethylated, healthy tissues. This tumor-suppressor activity is lost when HNF1B is silenced by promoter methylation in the progression to PC. Epigenetic inactivation of HNF1B in ovarian cancer also associates with known risk SNPs, with a similar impact on EMT. This represents one of the first comprehensive studies into the pleiotropic role of a GWAS-associated transcription factor across distinct cancer types, and is the first to describe a conserved role for a multi-cancer genetic risk factor.

Limitations of current diagnostic and prognostic tools for prostate cancer (PC) have led to over-diagnosis and over-treatment. Here, we investigate the biomarker potential of the SLC18A2 (VMAT2) gene for PC at three molecular levels. Thus, SLC18A2 promoter methylation was analyzed in 767 malignant and 78 benign radical prostatectomy (RP) samples using methylation-specific qPCR and Illumina 450K methylation microarray data. SLC18A2 transcript levels were assessed in 412 malignant and 45 benign RP samples using RNAseq data. SLC18A2 protein was evaluated by immunohistochemistry in 502 malignant and 305 benign RP samples. Cancer-specificity of molecular changes was tested using Mann-Whitney U tests and/or receiver operating characteristic (ROC) analyses. Log rank, uni- and multivariate Cox regression tests were used for survival analyses. We found that SLC18A2 promoter hypermethylation was highly cancer-specific (area under the curve (AUC): 0.923-0.976) and associated with biochemical recurrence (BCR) after RP in univariate analyses. SLC18A2 transcript levels were reduced in PC and had independent prognostic value for BCR after RP (multivariate HR 0.13, P < 0.05). Likewise, SLC18A2 protein was down-regulated in PC (AUC 0.898) and had independent prognostic value for BCR (multivariate HR 0.51, P < 0.05). Reduced SLC18A2 protein expression was also associated with poor overall survival in univariate analysis (HR 0.29, P < 0.05). Our results highlight SLC18A2 as a new promising methylation marker candidate for PC diagnosis. Furthermore, SLC18A2 expression (RNA and protein) showed promising prognostic potential beyond routine clinicopathological variables. Thus, novel SLC18A2-based molecular tests could have useful future applications for PC detection and identification of high-risk patients., (Copyright © 2016 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.)

Purpose: This study investigates the diagnostic and prognostic biomarker potential of miRNAs in prostate cancer (PC)., Results: We identified several new deregulated miRNAs between non-malignant (NM) and PC tissue samples and between more/less aggressive PC subgroups. We also developed and validated a novel 13-miRNA diagnostic classifier with high sensitivity and specificity for PC. Finally, we trained a new 3-miRNA prognostic classifier (miR-185-5p+miR-221-3p+miR-326) that predicted time to biochemical recurrence (BCR) independently of routine clinicopathological variables in a training radical prostatectomy (RP) cohort (n = 126) as well as in two independent validation cohorts (n = 110 and n = 99)., Experimental Design: After RT-qPCR-based profiling of 752 miRNAs in 13 NM and 134 PC tissue samples (cohort 1), we selected 93 top candidate diagnostic/prognostic miRNAs for validation in two independent patient sets (cohort 2: 19 NM and 138 PC; cohort 3: 28 NM and 113 PC samples). Diagnostic potential was assessed by ROC curve analysis and prognostic potential by Kaplan-Meier, uni- and multivariate Cox regression analyses. BCR after RP was used as endpoint., Conclusions: This is the first report of a miRNA signature with significant independent prognostic value demonstrated in three PC patient cohorts., Competing Interests: CONFLICTS OF INTERESTKDS has received consultancy fees from Exiqon A/S. HK, ART, PM, TFØ, and KDS are co-inventors on patent applications regarding miRNAs as biomarkers for PC.

Motivation: Cancer development and progression is driven by a complex pattern of genomic and epigenomic perturbations. Both types of perturbations can affect gene expression levels and disease outcome. Integrative analysis of cancer genomics data may therefore improve detection of perturbed genes and prediction of disease state. As different data types are usually dependent, analysis based on independence assumptions will make inefficient use of the data and potentially lead to false conclusions., Model: Here, we present PINCAGE (Probabilistic INtegration of CAncer GEnomics data), a method that uses probabilistic integration of cancer genomics data for combined evaluation of RNA-seq gene expression and 450k array DNA methylation measurements of promoters as well as gene bodies. It models the dependence between expression and methylation using modular graphical models, which also allows future inclusion of additional data types., Results: We apply our approach to a Breast Invasive Carcinoma dataset from The Cancer Genome Atlas consortium, which includes 82 adjacent normal and 730 cancer samples. We identify new biomarker candidates of breast cancer development (PTF1A, RABIF, RAG1AP1, TIMM17A, LOC148145) and progression (SERPINE3, ZNF706). PINCAGE discriminates better between normal and tumour tissue and between progressing and non-progressing tumours in comparison with established methods that assume independence between tested data types, especially when using evidence from multiple genes. Our method can be applied to any type of cancer or, more generally, to any genomic disease for which sufficient amount of molecular data is available., Availability and Implementation: R scripts available at http://moma.ki.au.dk/prj/pincage/, Contact: : michal.switnicki@clin.au.dk or jakob.skou@clin.au.dk, Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Downregulation of miR-145 in a variety of cancers suggests a possible tumor suppressor function for this microRNA. Here, we show that miR-145 expression is reduced in bladder cancer and urothelial carcinoma in situ, compared with normal urothelium, using transcription profiling and in situ hybridization. Ectopic expression of miR-145 induced extensive apoptosis in urothelial carcinoma cell lines (T24 and SW780) as characterized by caspase activation, nuclear condensation and fragmentation, cellular shrinkage, and detachment. However, cell death also proceeded upon caspase inhibition by the pharmacological inhibitor zVAD-fmk and ectopic expression of anti-apoptotic Bcl-2, indicating the activation of an alternative caspase-independent death pathway. Microarray analysis of transcript levels in T24 cells, before the onset of cell death, showed destabilization of mRNAs enriched for miR-145 7mer target sites. Among these, direct targeting of CBFB, PPP3CA, and CLINT1 was confirmed by a luciferase reporter assay. Notably, a 22-gene signature targeted on enforced miR-145 expression in T24 cells was significantly (P<0.00003) upregulated in 55 Ta bladder tumors with concomitant reduction of miR-145. Our data indicate that reduction in miR-145 expression may provide bladder cancer cells with a selective advantage by inhibition of cell death otherwise triggered in malignant cells.

Prostate cancer is the most commonly diagnosed malignancy in males in the Western world. This review focuses on advances in biomarker discovery for prostate cancer by microarray profiling of mRNA and microRNA expression. Novel biomarkers are strongly needed to enable more accurate detection of prostate cancer, improve prediction of tumor aggressiveness and facilitate discovery of new therapeutic targets for tailored medicine. Promising molecular markers identified from gene expression profiling studies include AMACR, EZH2, TMPRSS2-ERG, miR-221 and miR-141, which are described in more detail. In addition, a compilation of prognostic gene expression signatures for prediction of prostate cancer patient outcome is provided, and their possible clinical utility is discussed. Furthermore, limitations in the application of microarray-based expression profiling for identification of prostate cancer biomarkers are addressed.

Loss of heterozygosity (LOH) at 6q is a frequent chromosomal aberration in prostate adenocarcinoma; however, a possible target gene remains to be identified. Findings in this study indicate that the FYN tyrosine kinase gene at 6q21 is a new candidate tumor suppressor in prostate cancer. Initially, single nucleotide polymorphism microarray analysis of 40 microdissected prostate adenocarcinoma samples revealed 25% LOH at the FYN locus. Furthermore, Western blot analysis and real-time reverse transcriptase PCR (RT-PCR) showed significantly lower FYN expression in prostate cancer tissue than in benign prostate hyperplasia (BPH), as well as in 6 prostate adenocarcinoma cell lines compared with that in BPH-1 cells. By immunohistochemistry, FYN protein was detected in nonmalignant prostate epithelium, but not in cancerous glands. Moreover, genomic bisulfite sequencing revealed frequent aberrant methylation of a large CpG island in the FYN promoter region in both adenocarcinoma cell lines (3 of 5 cell lines tested) and primary prostate cancer (12 of 18 tumors). Methylation was generally of moderate density, affecting preferentially the 3' region of the CpG island. Dense hypermethylation of the entire CpG island, consistent with gene silencing, was detected in 2 of 18 tumors (11%). No methylation was found in BPH-1 cells or nonmalignant prostate tissue samples (0 of 7). These results indicate that FYN is downregulated in prostate cancer by both chromosomal deletion and promoter hypermethylation, and therefore is a novel prostate tumor suppressor gene candidate., ((c) 2007 Wiley-Liss, Inc.)