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.

A genome-wide association study in progressive multiple sclerosis.

BACKGROUND: The role played by genetic factors in influencing the clinical course of multiple sclerosis (MS) is not yet well established. OBJECTIVE: We aimed to identify genetic variants associated with progressive MS (PrMS). METHODS: We conducted a genome-wide association study (GWAS) in 197 patients with PrMS and 234 controls of Italian origin. We tested the top 20 single nucleotide polymorphisms (SNPs) with suggestive evidence of association (p-value<10(-4)) in two independent sets of primary progressive MS cases and controls. RESULTS: We identified a risk-associated SNP in the HLA region in linkage disequilibrium (LD) with DRB1*1501 and DQB*0602 loci, with genome-wide significance (rs3129934(T), p (combined)=6.7×10(-16), OR=2.34, 95% CI=1.90-2.87), and a novel locus on chromosome 7q35 with suggestive evidence of association (rs996343(G), p (combined)=2.4×10(-5), OR=0.70, 95% CI=0.59-0.83) which maps within a human endogenous retroviral (HERV) element. The new locus did not have a 'cis' effect on RNA expression in lymphoblastic cell lines, but pathway analyses of 'trans' effects point to an expression regulation of genes involved in neurodegeneration, including glutamate metabolism (p<0.01) and axonal guidance signalling (p<0.02). CONCLUSIONS: We have confirmed the established association with the HLA region and, despite the low statistical power of the study, we found suggestive evidence for association with a novel locus on chromosome 7, with a putative regulatory role.

Single-cell transcriptome profiling reveals several LncRNAs differentially expressed in idiopathic germ cell aplasia.

Mechanisms underlying severe male infertility are still largely elusive. However, recently, a single-cell transcription study by our group identified several differentially expressed coding genes in all the somatic cell types in testes of patients with idiopathic germ cell aplasia (iGCA). Here, we leverage this work by extending the analysis also to the non-coding portion of the genome. As a result, we found that 43 LncRNAs were differentially expressed in the somatic cells of these patients. Interestingly, a significant portion of the overexpressed LncRNAs was found to be a target of TAF9B, a transcription factor known to be involved in germ cell survival. Moreover, several overexpressed LncRNAs were also found to be activated in a mouse model of Sertoli cells treated with bisphenol A, a widespread environmental contaminant, long suspected to impair male fertility. Finally, a literature search for MEG3, a maternally imprinted LncRNA overexpressed as well in our patients, found it to be involved, among other things, in obesity and inflammation, known comorbidities of iGCA, ultimately suggesting that our findings deepen the understanding of the molecular insights coupled not only to the pathogenesis, but also to the clinical course of this class of patients.

A virus-free cellular model recapitulates several features of severe COVID-19.

As for all newly-emergent pathogens, SARS-CoV-2 presents with a relative paucity of clinical information and experimental models, a situation hampering both the development of new effective treatments and the prediction of future outbreaks. Here, we find that a simple virus-free model, based on publicly available transcriptional data from human cell lines, is surprisingly able to recapitulate several features of the clinically relevant infections. By segregating cell lines (n = 1305) from the CCLE project on the base of their sole angiotensin-converting enzyme 2 (ACE2) mRNA content, we found that overexpressing cells present with molecular features resembling those of at-risk patients, including senescence, impairment of antibody production, epigenetic regulation, DNA repair and apoptosis, neutralization of the interferon response, proneness to an overemphasized innate immune activity, hyperinflammation by IL-1, diabetes, hypercoagulation and hypogonadism. Likewise, several pathways were found to display a differential expression between sexes, with males being in the least advantageous position, thus suggesting that the model could reproduce even the sex-related disparities observed in the clinical outcome of patients with COVID-19. Overall, besides validating a new disease model, our data suggest that, in patients with severe COVID-19, a baseline ground could be already present and, as a consequence, the viral infection might simply exacerbate a variety of latent (or inherent) pre-existing conditions, representing therefore a tipping point at which they become clinically significant.

Endoplasmic reticulum oxidoreductase 1 alpha modulates prostate cancer hallmarks.

BACKGROUND: Therapies available for late stage prostate cancer (PCa) patients are limited and mostly palliative. The necessary development of unexplored therapeutic options relies on a deeper knowledge of molecular mechanisms leading to cancer progression. Redox signals are known to modulate the intensity and duration of oncogenic circuits; cues originating from the endoplasmic reticulum (ER) and downstream exocytic organelles are relevant in secretory tumors, including PCa. Ero 1α is a master regulator of redox homeostasis and oxidative folding. METHODS: We assessed Ero 1α mRNA expression by bioinformatic analysis of three public datasets and protein expression levels in PCa cell lines representing different degrees of tumor progression and different human prostate specimens. Transient Ero 1α knockdown was achieved by RNA interference (siRNA). Consequences of Ero 1α downregulation were monitored by PCa proliferation, migration and invasion properties. RESULTS: Ero 1α mRNA and protein levels are upregulated in PCa cell lines compared to non-tumorigenic cells (P=0.0273). Ero 1α expression increases with the grade of malignancy, reaching the highest level in the androgen resistant PC3. In patients' samples from 3 datasets, Ero 1α mRNA expression correlates with pathological Gleason scores. Ero 1α knockdown inhibits proliferation (P=0.0081), migration (P=0.0085) and invasion (P=0.0007) of PC3 cells and alters the levels of integrin ß1 (P=0.0024). CONCLUSIONS: Results indicate that Ero 1α levels correlate with PCa aggressiveness; Ero 1α silencing inhibits key steps over the PCa metastatic process. Therefore, Ero 1α has the potential to be exploited as a novel biomarker and a therapeutic target in PCa.

A mechanistic insight into the anti-metastatic role of the prostate specific antigen.

AIM: Since its discovery Prostate Specific Antigen (PSA), also referred to as kallikrein-3 (KLK3), has been used as standard circulating biomarker for prostate cancer (PCa). However, its specificity remains not adequate and its mechanism of action still elusive. Therefore, deciphering PSA role throughout PCa-pathobiology would be relevant in improving both cancer diagnosis and outcome prediction. We investigated the possible role played by PSA on/in the tumor microenvironment and over the first steps of cancer invasion. METHODS: Fresh PCa-specimens and cell lines were used for ex-vivo/in-vitro invasion assays and assessment of prostate tissue-PSA (tPSA), type 1 collagen (COL1A1) and ß1-integrin expression. Tissue Cancer Genome Atlas (TCGA) and Decipher® datasets were considered to estimate tPSA clinical relevance. RESULTS: A more precise, inverse, correspondence between tPSA and clinical/pathological parameters was found than for circulating PSA. KLK3 combined with Gleason grade and pathologic stage, better predicted cancer-related mortality. Consistently, we demonstrated that PSA inhibits prostate extracellular-matrix (ECM) invasion by PCa cells. As for the mechanism of action, we provided novel information that PSA is able to cleave COL1A1, a main component of the ECM. Finally, ß1-integrin, a crucial COL1A1 transducing-receptor involved in tumor adhesion/invasion, resulted to be downregulated in PCa specimens with higher levels of tPSA. CONCLUSIONS: By interfering with type 1 collagen and its downstream targets, PSA may hamper adhesion and path of the cancer cells through ECM and their migration ability, thus explaining the inverse correlation highlighted between prostate tPSA levels and clinically significant disease.

Urine Endocannabinoids as Novel Non-Invasive Biomarkers for Bladder Cancer at Early Stage.

Due to the involvement of the endocannabinoid system (ECS) in cancer onset and progression and the less studied connection between ECS and bladder cancer, here an evaluation of the ECS modifications associated with bladder cancer is reported. Urine samples were collected from healthy volunteers and patients with bladder cancer at different grades. Endocannabinoids (ECs) and N-acylethanolamides (NAEs) were quantified by HPLC-MS/MS and results normalized for creatinine content. An increase in the urine concentrations of four ECs and NAEs analyzed was observed with a statistically significant increase in the arachidonoylethanolamide (AEA) and stearoylethanoamide (SEA) associated with bladder cancer. Receiver operating characteristic curves built with AEA and SEA data allowed the selection of 160 pg/mL for SEA (area under the curve (AUC) = 0.91, Selectivity (SE) 94%, Specificity (SP) 45%) and 8 pg/mL for AEA (AUC = 0.85, SE 94%, SP 61%) as the best cut-off values. Moreover, data from bladder cancer samples at different grades were derived from The Cancer Genome Atlas, and the expressions of thirteen different components of the "endocannabinoidome" were analyzed. Statistical analysis highlights significant variations in the expression of three enzymes involved in EC and NAE turnover in bladder cancer.

In silico prediction and experimental validation of natural antisense transcripts in two cancer-associated regions of human chromosome 6.

Antisense transcription has long been recognized as a mechanism involved in the regulation of gene expression. Therefore, several human diseases associated with abnormal patterns of gene expression might display antisense RNA-mediated pathogenetic mechanisms. Such issue could be particularly relevant for cancer pathogenesis, since deregulated gene expression has long been established as a hallmark of cancer cells. Herein, we report on a bioinformatic search for antisense transcription in two cancer-associated regions of human chromosome 6 (6q21 and 6q27). Natural antisense transcripts (NATs) for several genes in both genomic regions were predicted in silico and subsequently validated by strand-specific RT-PCR. Detailed experimental validation by quantitative real-time RT-PCR of five putative cancer related sense-antisense transcript pairs revealed a single candidate tumor suppressor gene (RPS6KA2) whose expression levels display marked cancer-related changes that are likely mediated by its antisense RNA in a breast cancer cell line model.

Complex Loci in human and mouse genomes.

Mammalian genomes harbor a larger than expected number of complex loci, in which multiple genes are coupled by shared transcribed regions in antisense orientation and/or by bidirectional core promoters. To determine the incidence, functional significance, and evolutionary context of mammalian complex loci, we identified and characterized 5,248 cis-antisense pairs, 1,638 bidirectional promoters, and 1,153 chains of multiple cis-antisense and/or bidirectionally promoted pairs from 36,606 mouse transcriptional units (TUs), along with 6,141 cis-antisense pairs, 2,113 bidirectional promoters, and 1,480 chains from 42,887 human TUs. In both human and mouse, 25% of TUs resided in cis-antisense pairs, only 17% of which were conserved between the two organisms, indicating frequent species specificity of antisense gene arrangements. A sampling approach indicated that over 40% of all TUs might actually be in cis-antisense pairs, and that only a minority of these arrangements are likely to be conserved between human and mouse. Bidirectional promoters were characterized by variable transcriptional start sites and an identifiable midpoint at which overall sequence composition changed strand and the direction of transcriptional initiation switched. In microarray data covering a wide range of mouse tissues, genes in cis-antisense and bidirectionally promoted arrangement showed a higher probability of being coordinately expressed than random pairs of genes. In a case study on homeotic loci, we observed extensive transcription of nonconserved sequences on the noncoding strand, implying that the presence rather than the sequence of these transcripts is of functional importance. Complex loci are ubiquitous, host numerous nonconserved gene structures and lineage-specific exonification events, and may have a cis-regulatory impact on the member genes.

In search of antisense.

In recent years, natural antisense transcripts (NATs) have been implicated in many aspects of eukaryotic gene expression including genomic imprinting, RNA interference, translational regulation, alternative splicing, X-inactivation and RNA editing. Moreover, there is growing evidence to suggest that antisense transcription might have a key role in a range of human diseases. Consequently, there have been several recent attempts to identify novel NATs. To date, approximately 2500 mammalian NATs have been found, indicating that antisense transcription might be a common mechanism of regulating gene expression in human cells. There are increasingly diverse ways in which antisense transcription can regulate gene expression and evidence for the involvement of NATs in human disease is emerging. A range of bioinformatic resources could be used to assist future antisense research.

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 http://bioinfo.crs4.it/AH2.0.

Bladder cancer cell growth and motility implicate cannabinoid 2 receptor-mediated modifications of sphingolipids metabolism.

The inhibitory effects demonstrated by activation of cannabinoid receptors (CB) on cancer proliferation and migration may also play critical roles in controlling bladder cancer (BC). CB expression on human normal and BC specimens was tested by immunohistochemistry. Human BC cells RT4 and RT112 were challenged with CB agonists and assessed for proliferation, apoptosis, and motility. Cellular sphingolipids (SL) constitution and metabolism were evaluated after metabolic labelling. CB1-2 were detected in BC specimens, but only CB2 was more expressed in the tumour. Both cell lines expressed similar CB2. Exposure to CB2 agonists inhibited BC growth, down-modulated Akt, induced caspase 3-activation and modified SL metabolism. Baseline SL analysis in cell lines showed differences linked to unique migratory behaviours and cytoskeletal re-arrangements. CB2 activation changed the SL composition of more aggressive RT112 cells by reducing (p < 0.01) Gb3 ganglioside (-50 ± 3%) and sphingosine 1-phosphate (S1P, -40 ± 4%), which ended up to reduction in cell motility (-46 ± 5%) with inhibition of p-SRC. CB2-selective antagonists, gene silencing and an inhibitor of SL biosynthesis partially prevented CB2 agonist-induced effects on cell viability and motility. CB2 activation led to ceramide-mediated BC cell apoptosis independently of SL constitutive composition, which instead was modulated by CB2 agonists to reduce cell motility.

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 Friedman's 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.