Giovanni Lavorgna

Identification of novel sense and antisense transcription at the TRPM2 locus in cancer

It has been proposed that in cancer, where the bulk of the genome becomes hypomethylated, there is an increase in transcriptional noise that might lead to the generation of antisense transcripts that could affect the function of key oncosuppressor genes, ultimately leading to malignant transformation. Here, we describe the computational identification of a melanoma-enriched antisense transcript, TRPM2-AS, mapped within the locus of TRPM2, an ion channel capable of mediating susceptibility to cell death. Analysis of the TRPM2-AS genomic region indicated the presence in the same region of another tumor-enriched TRPM2 transcript, TRPM2-TE, located across a CpG island shared with TRPM2-AS. Quantitative PCR experiments confirmed that TRPM2-AS and TRPM2-TE transcripts were up-regulated in melanoma, and their activation was consistent with the methylation status of the shared CpG island. Functional knock-out of TRPM2-TE, as well as over-expression of wild-type TRPM2, increased melanoma susceptibility to apoptosis and necrosis. Finally, expression analysis in other cancer types indicated that TRPM2-AS and TRPM2-TE over-expression might have an even wider role than anticipated, reinforcing the relevance of our computational approach in identifying new potential therapeutic targets.

Vertebrate homeobox genes

In the former part of the review the principal available data aboutHox genes, their molecular organisation and their expression in vertebrate embryos, with particular emphasis for mammals, are briefly summarized.In the latter part we analysed the expression of four mouse homeobox genes related to twoDrosophila genes expressed in the developing head of the fly: Emx1 and Emx2, related toems, and Otx1 and Otx2, related tootd.

Antisense transcription at the TRPM2 locus as a novel prognostic marker and therapeutic target in prostate cancer

Overwhelming evidence indicates that cancer is a genetic disease caused by the accumulation of mutations in oncogenes and tumor suppressor genes. It is also increasingly apparent, however, that cancer depends not only on mutations in these coding genes but also on alterations in the large class of non-coding RNAs. Here, we report that one such long non-coding RNA, TRPM2-AS, an antisense transcript of TRPM2, which encodes an oxidative stress-activated ion channel, is overexpressed in prostate cancer (PCa). The high expression of TRPM2-AS and its related gene signature were found to be linked to poor clinical outcome, with the related gene signature working also independently of the patients Gleason score. Mechanistically, TRPM2-AS knockdown led to PCa cell apoptosis, with a transcriptional profile that indicated an unbearable increase in cellular stress in the dying cells, which was coupled to cell cycle arrest, an increase in intracellular hydrogen peroxide and activation of the sense TRPM2 gene. Moreover, targets of existing drugs and treatments were found to be consistently associated with high TRPM2-AS levels in both targeted cells and patients, ultimately suggesting that the measurement of the expression levels of TRPM2-AS allows not only for the early identification of aggressive PCa tumors, but also identifies a subset of at-risk patients who would benefit from currently available, but mostly differently purposed, therapeutic agents.

Long non-coding RNAs as novel therapeutic targets in cancer

Thanks to impressive technology advancements, pervasive expression of non-coding RNAs (ncRNAs) has been recently identified in the genome of numerous cancers. Long ncRNAs (lncRNAs) belong to a new class of ncRNAs including tens of thousands different species. A fraction of these molecules shows a striking cancer-enriched expression pattern, suggesting an essential role in tumor cells and, possibly, a utility in therapeutic terms. This review aims at summarizing current knowledge for the identification and validation of lncRNAs as therapeutics targets in tumors. Both in-silico and wet-biology resources are presented in relation to the many challenges that the scientific community still needs to address in terms of lncRNA identification, stratification, patient personalization, drug delivery and toxicity.

AntiHunter: searching BLAST output for EST antisense transcripts

AntiHunter is a new web-based tool for the identification of expressed sequence tag (EST) antisense transcripts from BLAST output. In order to perform an analysis, user is required to input a genomic sequence plus an associated list of transcript names and coordinates of the genomic region (i.e. genome annotation). After masking the repeated regions (if any), program will perform a BLASTN search of the input sequence versus the selected EST database, reporting by Email the EST entries that reveal a putative antisense transcript with respect to the user supplied list.

AntiHunter 2.0: increased speed and sensitivity in searching BLAST output for EST antisense transcripts

An increasing number of eukaryotic and prokaryotic genes are being found to have natural antisense transcripts (NATs). There is also growing evidence to suggest that antisense transcription could play a key role in many human diseases. Consequently, there have been several recent attempts to set up computational procedures aimed at identifying novel NATs. Our group has developed the AntiHunter program for the identification of expressed sequence tag (EST) antisense transcripts from BLAST output. In order to perform an analysis, the program requires a genomic sequence plus an associated list of transcript names and coordinates of the genomic region. After masking the repeated regions, the program carries out a BLASTN search of this sequence in the selected EST database, reporting via email the EST entries that reveal an antisense transcript according to the user-supplied list. Here, we present the newly developed version 2.0 of the AntiHunter tool. Several improvements have been added to this version of the program in order to increase its ability to detect a larger number of antisense ESTs. As a result, AntiHunter can now detect, on average, >45% more antisense ESTs with little or no increase in the percentage of the false positives. We also raised the maximum query size to 3 Mb (previously 1 Mb). Moreover, we found that a reasonable trade-off between the program search sensitivity and the maximum allowed size of the input-query sequence could be obtained by querying the database with the MEGABLAST program, rather than by using the BLAST one. We now offer this new opportunity to users, i.e. if choosing the MEGABLAST option, users can input a query sequence up to 30 Mb long, thus considerably improving the possibility to analyze longer query regions. The AntiHunter tool is freely available at .

TargetFinder: Searching annotated sequence databases for target genes of transcription factors

UNLABELLED TargetFinder is a new software tool to search a database of annotated sequences for transcription factor binding sites located in context with other important transcription regulatory signals and regions, like the TATA element, the promoter, and so on, thereby greatly reducing the background usually associated with this kind of search. AVAILABILITY The TargetFinder Web service is available at http://hercules.tigem.it/TargetFinder.html CONTACT giovanni.lavorgna@hsr.it

The Microbiome of the Prostate Tumor Microenvironment

BACKGROUND The advent of molecular-based methods of identification and characterization of complex microbial populations has led to a new era of microbial discovery. A detailed and comprehensive analysis of the microbial ecosystem of the pathologic and healthy prostate tissues has not been yet reported. OBJECTIVES To characterize the microbiome possibly associated to the pathologic prostate microenvironment. DESIGN, SETTING, AND PARTICIPANTS The microbiome profile of tumor, peri-tumor, and nontumor tissues was assessed on 16 radical prostatectomy-specimens. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Microbiome analysis was assessed by massive ultradeep pyrosequencing. Bacteria load was expressed as a percentage of the total number of bacteria. The statistical significance of differences among specimen-groups was tested with Friedmans test (Dunn posthoc test) and Wilcoxon rank-sum test. RESULTS AND LIMITATIONS Three phyla, six classes, nine orders, 14 families, and 11 genera were above the set threshold value of 1%, respectively. Significant differences in specific microbial populations among tumor/peri-tumor and nontumor prostate specimens were observed at certain taxonomic levels. Among genera, Propionibacterium spp. were the most abundant. Staphylococcus spp. were more represented in the tumor/peri-tumor tissues (p<0.05). The restricted number of specimens represents a potential limitation. CONCLUSIONS The prostate contains a plethora of bacteria, which set themselves within the gland with a distribution dependent on the nature of the tissue, thus suggesting a possible pathophysiological correlation between the composition of the local microbial niche and the presence of the tumor itself. Future studies will help to clarify the role of these specific bacteria and their potential to be exploited as new biomarkers. PATIENT SUMMARY The pathological prostate is populated by specific microbial populations, whose distribution varies according to the nature of the tissue. This finding opens interesting perspectives for the identification of novel therapeutic approaches and biomarkers.

Transcription factor TLX1 controls retinoic acid signaling to ensure spleen development

The molecular mechanisms that underlie spleen development and congenital asplenia, a condition linked to increased risk of overwhelming infections, remain largely unknown. The transcription factor TLX1 controls cell fate specification and organ expansion during spleen development, and Tlx1 deletion causes asplenia in mice. Deregulation of TLX1 expression has recently been proposed in the pathogenesis of congenital asplenia in patients carrying mutations of the gene-encoding transcription factor SF-1. Herein, we have shown that TLX1-dependent regulation of retinoic acid (RA) metabolism is critical for spleen organogenesis. In a murine model, loss of Tlx1 during formation of the splenic anlage increased RA signaling by regulating several genes involved in RA metabolism. Uncontrolled RA activity resulted in premature differentiation of mesenchymal cells and reduced vasculogenesis of the splenic primordium. Pharmacological inhibition of RA signaling in Tlx1-deficient animals partially rescued the spleen defect. Finally, spleen growth was impaired in mice lacking either cytochrome P450 26B1 (Cyp26b1), which results in excess RA, or retinol dehydrogenase 10 (Rdh10), which results in RA deficiency. Together, these findings establish TLX1 as a critical regulator of RA metabolism and provide mechanistic insights into the molecular determinants of human congenital asplenia.

Expression-profiling of apoptosis induced by ablation of the long ncRNA TRPM2-AS in prostate cancer cell

We recently identified the long non-coding RNA (ncRNA) TRPM2-AS as a key regulator of survival in prostate cancer [1]. This essential role, coupled to the TRPM2-AS low-expression levels in healthy tissues, makes this ncRNA a suitable therapeutic target for further clinical studies. To get insights into the survival mechanism controlled by this molecule, we ablated its expression in prostate cancer cells and performed a genome-wide analysis of the transcripts differentially regulated in dying cells. Here, we describe in detail the experimental system, methods and quality control for the generation of the microarray data associated with our recent publication [1]. The data are related to [1]. Data have been deposited to the Gene Expression Omnibus (GEO) database repository with the dataset identifier GSE40687.