Plasma microRNA Signature as Companion Diagnostic for Abiraterone Acetate Treatment in Metastatic Castration-Resistant Prostate Cancer: A Pilot Study.

Abiraterone acetate (AA) serves as a medication for managing persistent testosterone production in patients with metastatic castration-resistant prostate cancer (mCRPC). However, its efficacy varies among individuals; thus, the identification of biomarkers to predict and follow treatment response is required. In this pilot study, we explored the potential of circulating microRNAs (c-miRNAs) to stratify patients based on their responsiveness to AA. We conducted an analysis of plasma samples obtained from a cohort of 33 mCRPC patients before and after three, six, and nine months of AA treatment. Using miRNA RT-qPCR panels for candidate discovery and TaqMan RT-qPCR for validation, we identified promising miRNA signatures. Our investigation indicated that a signature based on miR-103a-3p and miR-378a-5p effectively discriminates between non-responder and responder patients, while also following the drug's efficacy over time. Additionally, through in silico analysis, we identified target genes and transcription factors of the two miRNAs, including PTEN and HOXB13, which are known to play roles in AA resistance in mCRPC. In summary, our study highlights two c-miRNAs as potential companion diagnostics of AA in mCRPC patients, offering novel insights for informed decision-making in the treatment of mCRPC.

DNMT3A epigenetically regulates key microRNAs involved in epithelial-to-mesenchymal transition in prostate cancer.

Epithelial-to-mesenchymal transition (EMT) is involved in prostate cancer (PCa) metastatic progression, and its plasticity suggests epigenetic implications. Deregulation of DNA methyltransferases (DNMTs) and several microRNAs (miRNAs) plays a relevant role in EMT, but their interplay has not been clarified yet. In this study, we provide evidence that DNMT3A interaction with several miRNAs has a central role in an ex vivo EMT PCa model obtained via exposure of PC3 cells to conditioned media from cancer-associated fibroblasts. The analysis of the alterations of the miRNA profile shows that miR-200 family (miR-200a/200b/429, miR-200c/141), miR-205 and miR-203, known to modulate key EMT factors, are down-regulated and hyper-methylated at their promoters. DNMT3A (mainly isoform a) is recruited onto these miRNA promoters, coupled with the increase of H3K27me3/H3K9me3 and/or the decrease of H3K4me3/H3K36me3. Most interestingly, our results reveal the differential expression of two DNMT3A isoforms (a and b) during ex vivo EMT and a regulatory feedback loop between miR-429 and DNMT3A that can promote and sustain the transition towards a more mesenchymal phenotype. We demonstrate the ability of miR-429 to target DNMT3A 3'UTR and modulate the expression of EMT factors, in particular ZEB1. Survey of the PRAD-TCGA dataset shows that patients expressing an EMT-like signature are indeed characterized by down-regulation of the same miRNAs with a diffused hyper-methylation at miR-200c/141 and miR-200a/200b/429 promoters. Finally, we show that miR-1260a also targets DNMT3A, although it does not seem to be involved in EMT in PCa.

miR375-3p Distinguishes Low-Grade Neuroendocrine From Non-neuroendocrine Lung Tumors in FFPE Samples.

Lung cancer is still one of the leading cause of death worldwide. The clinical variability of lung cancer is high and drives treatment decision. In this context, correct discrimination of pulmonary neuroendocrine tumors is still of critical relevance. The spectrum of neuroendocrine tumors is various, and each type has molecular and phenotypical differences. In order to advance in the discrimination of neuroendocrine from non-neuroendocrine lung tumors, we tested a series of 95 surgically resected and formalin-fixed paraffin embedded lung cancer tissues, and we analyzed the expression of miR205-5p and miR375-3p via TaqMan RT-qPCR. Via a robust mathematical approach, we excluded technical outliers increasing the data reproducibility. We found that miR375-3p levels are higher in low-grade neuroendocrine lung tumor samples compared to non-neuroendocrine lung tumors. However, miR375-3p is not able to distinguish among different types of neuroendocrine lung tumors. In this work, we provide a new molecular marker for distinguishing non-neuroendocrine from low-grade neuroendocrine lung tumors samples establishing an easy miRNA score to be used in clinical settings, enabling the pathologist to classify more accurately lung tumors biopsies, which may be ambiguously cataloged in routine examination.

microRNAs Make the Call in Cancer Personalized Medicine.

Since their discovery and the advent of RNA interference, microRNAs have drawn enormous attention because of their ubiquitous involvement in cellular pathways from life to death, from metabolism to communication. It is also widely accepted that they possess an undeniable role in cancer both as tumor suppressors and tumor promoters modulating cell proliferation and migration, epithelial-mesenchymal transition and tumor cell invasion and metastasis. Moreover, microRNAs can even affect the tumor surrounding environment influencing angiogenesis and immune system activation and recruitment. The tight association of microRNAs with several cancer-related processes makes them undoubtedly connected to the effect of specific cancer drugs inducing either resistance or sensitization. In this context, personalized medicine through microRNAs arose recently with the discovery of single nucleotide polymorphisms in the target binding sites, in the sequence of the microRNA itself or in microRNA biogenesis related genes, increasing risk, susceptibility and progression of multiple types of cancer in different sets of the population. The depicted scenario implies that the overall variation displayed by these small non-coding RNAs have an impact on patient-specific pharmacokinetics and pharmacodynamics of cancer drugs, pushing on a rising need of personalized treatment. Indeed, microRNAs from either tissues or liquid biopsies are also extensively studied as valuable biomarkers for disease early recognition, progression and prognosis. Despite microRNAs being intensively studied in recent years, a comprehensive review describing these topics all in one is missing. Here we report an up-to-date and critical summary of microRNAs as tools for better understanding personalized cancer biogenesis, evolution, diagnosis and treatment.

The miR-15/107 Family of microRNA Genes Regulates CDK5R1/p35 with Implications for Alzheimer's Disease Pathogenesis.

Cyclin-dependent kinase 5 regulatory subunit 1 (CDK5R1) encodes p35, the main activatory subunit of cyclin-dependent kinase 5 (CDK5). The p35/CDK5 active complex plays a fundamental role in brain development and functioning, but its deregulated activity has also been implicated in various neurodegenerative disorders, including Alzheimer's disease (AD). CDK5R1 displays a large and highly evolutionarily conserved 3'-untranslated region (3'-UTR), a fact that has suggested a role for this region in the post-transcriptional control of CDK5R1 expression. Our group has recently demonstrated that two miRNAs, miR-103 and miR-107, regulate CDK5R1 expression and affect the levels of p35. MiR-103 and miR-107 belong to the miR-15/107 family, a group of evolutionarily conserved miRNAs highly expressed in human cerebral cortex. In this work, we tested the hypothesis that other members of this group of miRNAs, in addition to miR-103 and miR-107, were able to modulate CDK5R1 expression. We provide evidence that several miRNAs belonging to the miR-15/107 family regulate p35 levels. BACE1 expression levels were also found to be modulated by different members of this family. Furthermore, overexpression of these miRNAs led to reduced APP phosphorylation levels at the CDK5-specific Thr668 residue. We also show that miR-15/107 miRNAs display reduced expression levels in hippocampus and temporal cortex, but not in cerebellum, of AD brains. Moreover, increased CDK5R1 mRNA levels were observed in AD hippocampus tissues. Our results suggest that the downregulation of the miR-15/107 family might have a role in the pathogenesis of AD by increasing the levels of CDK5R1/p35 and consequently enhancing CDK5 activity.

Reduced miR-659-3p Levels Correlate with Progranulin Increase in Hypoxic Conditions: Implications for Frontotemporal Dementia.

Progranulin (PGRN) is a secreted protein expressed ubiquitously throughout the body, including the brain, where it localizes in neurons and is activated microglia. Loss-of-function mutations in the GRN gene are an important cause of familial frontotemporal lobar degeneration (FTLD). PGRN has a neurotrophic and anti-inflammatory activity, and it is neuroprotective in several injury conditions, such as oxygen or glucose deprivation, oxidative injury, and hypoxic stress. Indeed, we have previously demonstrated that hypoxia induces the up-regulation of GRN transcripts. Several studies have shown microRNAs (miRNAs) involvement in hypoxia. Moreover, in FTLD patients with a genetic variant of GRN (rs5848), the reinforcement of miR-659-3p binding site has been suggested to be a risk factor. Here, we report that miR-659-3p interacts directly with GRN 3'UTR as shown by luciferase assay in HeLa cells and ELISA and Western Blot analysis in HeLa and Kelly cells. Moreover, we demonstrate the physical binding between GRN mRNA and miR-659-3p employing a miRNA capture-affinity technology in SK-N-BE and Kelly cells. In order to study miRNAs involvement in hypoxia-mediated up-regulation of GRN, we evaluated miR-659-3p levels in SK-N-BE cells after 24 h of hypoxic treatment, finding them inversely correlated to GRN transcripts. Furthermore, we analyzed an animal model of asphyxia, finding that GRN mRNA levels increased at post-natal day (pnd) 1 and pnd 4 in rat cortices subjected to asphyxia in comparison to control rats and miR-659-3p decreased at pnd 4 just when GRN reached the highest levels. Our results demonstrate the interaction between miR-659-3p and GRN transcript and the involvement of miR-659-3p in GRN up-regulation mediated by hypoxic/ischemic insults.

microRNA and Lung Cancer.

Lung cancer is the leading cause of cancer mortality worldwide. microRNAs (miRNAs) have been established as players with a relevant role in lung cancer development, epithelial-mesenchymal transition and response to therapy. Additionally, in the last decade, miRNAs, measured in resected tumor samples or in fine-needle aspirate samples have emerged as compelling biomarkers for tumor diagnosis, prognosis, and prediction of response to treatment, due to the ease of their detection and in their extreme specificity. Moreover, miRNAs present in sputum, in plasma, in serum or in whole-blood have increasingly been explored in the last 5 years as less invasive biomarkers for the early detection of cancers.

Statistical analysis of a Bayesian classifier based on the expression of miRNAs.

BACKGROUND: During the last decade, many scientific works have concerned the possible use of miRNA levels as diagnostic and prognostic tools for different kinds of cancer. The development of reliable classifiers requires tackling several crucial aspects, some of which have been widely overlooked in the scientific literature: the distribution of the measured miRNA expressions and the statistical uncertainty that affects the parameters that characterize a classifier. In this paper, these topics are analysed in detail by discussing a model problem, i.e. the development of a Bayesian classifier that, on the basis of the expression of miR-205, miR-21 and snRNA U6, discriminates samples into two classes of pulmonary tumors: adenocarcinomas and squamous cell carcinomas. RESULTS: We proved that the variance of miRNA expression triplicates is well described by a normal distribution and that triplicate averages also follow normal distributions. We provide a method to enhance a classifiers' performance by exploiting the correlations between the class-discriminating miRNA and the expression of an additional normalized miRNA. CONCLUSIONS: By exploiting the normal behavior of triplicate variances and averages, invalid samples (outliers) can be identified by checking their variability via chi-square test or their displacement by the respective population mean via Student's t-test. Finally, the normal behavior allows to optimally set the Bayesian classifier and to determine its performance and the related uncertainty.

MicroRNAs as lung cancer biomarkers.

Lung cancer is the leading cause of cancer mortality worldwide. Its high mortality is due to the poor prognosis of the disease caused by a late disease presentation, tumor heterogeneities within histological subtypes, and the relatively limited understanding of tumor biology. Importantly, lung cancer histological subgroups respond differently to some chemotherapeutic substances and side effects of some therapies appear to vary between subgroups. Biomarkers able to stratify for the subtype of lung cancer, prognosticate the course of disease, or predict the response to treatment are in high demand. In the last decade, microRNAs (miRNAs), measured in resected tumor samples or in fine needle aspirate samples have emerged as biomarkers for tumor diagnosis, prognosis and prediction of response to treatment, due to the ease of their detection and in their extreme specificity. Moreover, miRNAs present in sputum, in plasma, in serum or in whole blood have increasingly been explored in the last five years as less invasive biomarkers for the early detection of cancers. In this review we cover the increasing amounts of data that have accumulated in the last ten years on the use of miRNAs as lung cancer biomarkers.

Identification of new p53 target microRNAs by bioinformatics and functional analysis.

BACKGROUND: The tumor suppressor p53 is a sequence-specific transcription factor that regulates an extensive network of coding genes, long non-coding RNAs and microRNAs, that establish intricate gene regulatory circuits influencing many cellular responses beyond the prototypical control of cell cycle, apoptosis and DNA repair. METHODS: Using bioinformatic approaches, we identified an additional group of candidate microRNAs (miRs) under direct p53 transcriptional control. To validate p53 family-mediated responsiveness of the newly predicted target miRs we first evaluated the potential for wild type p53, p63ß and p73ß to transactivate from p53 response elements (REs) mapped in the miR promoters, using an established yeast-based assay. RESULTS: The REs found in miR-10b, -23b, -106a, -151a, -191, -198, -202, -221, -320, -1204, -1206 promoters were responsive to p53 and 8 of them were also responsive to p63ß or p73ß. The potential for germline p53 mutations to drive transactivation at selected miR-associated REs was also examined. Chromatin Immuno-Precipitation (ChIP) assays conducted in doxorubicin-treated MCF7 cells and HCT116 p53+/+ revealed moderate induction of p53 occupancy at the miR-202, -1204, -1206, -10b RE-containing sites, while weak occupancy was observed for the miR-23b-associated RE only in MCF7 cells. RT-qPCR analyses cells showed modest doxorubicin- and/or Nutlin-dependent induction of the levels of mature miR-10b, -23b, -151a in HCT116 p53+/+ and MCF7 cells. The long noncoding RNA PVT1 comprising miR-1204 and -1206 was weakly induced only in HCT116 p53+/+ cells, but the mature miRs were not detected. miR-202 expression was not influenced by p53-activating stimuli in our cell systems. CONCLUSIONS: Our study reveals additional miRs, particularly miR-10b and miR-151a, that could be directly regulated by the p53-family of transcription factors and contribute to the tuning of p53-induced responses.

A cross-platform comparison of affymetrix and Agilent microarrays reveals discordant miRNA expression in lung tumors of c-Raf transgenic mice.

Non-coding RNAs play major roles in the translational control of gene expression. In order to identify disease-associated miRNAs in precursor lesions of lung cancer, RNA extracts from lungs of either c-Raf transgenic or wild-type (WT) mice were hybridized to the Agilent and Affymetrix miRNA microarray platforms, respectively. This resulted in the detection of a range of miRNAs varying between 111 and 267, depending on the presence or absence of the transgene, on the gender, and on the platform used. Importantly, when the two platforms were compared, only 11-16% of the 586 overlapping genes were commonly detected. With the Agilent microarray, seven miRNAs were identified as significantly regulated, of which three were selectively up-regulated in male transgenic mice. Much to our surprise, when the same samples were analyzed with the Affymetrix platform, only two miRNAs were identified as significantly regulated. Quantitative PCR performed with lung RNA extracts from WT and transgenic mice confirmed only partially the differential expression of significant regulated miRNAs and established that the Agilent platform failed to detect miR-433. Finally, bioinformatic analyses predicted a total of 152 mouse genes as targets of the regulated miRNAs of which 4 and 11 genes were significantly regulated at the mRNA level, respectively in laser micro-dissected lung dysplasia and lung adenocarcinomas of c-Raf transgenic mice. Furthermore, for many of the predicted mouse target genes expression of the coded protein was also repressed in human lung cancer when the publically available database of the Human Protein Atlas was analyzed, thus supporting the clinical significance of our findings. In conclusion, a significant difference in a cross-platform comparison was observed that will have important implications for research into miRNAs.

Heterogeneity of large cell carcinoma of the lung: an immunophenotypic and miRNA-based analysis.

Large cell carcinomas (LCCs) of the lung are heterogeneous and may be of different cell lineages. We analyzed 56 surgically resected lung tumors classified as LCC on the basis of pure morphologic grounds, using a panel of immunophenotypic markers (adenocarcinoma [ADC]-specific, thyroid transcription factor-1, cytokeratin 7, and napsin A; squamous cell carcinoma [SQCC]-specific, p63, cytokeratin 5, desmocollin 3, and Δnp63) and the quantitative analysis of microRNA-205 (microRNA sample score [mRSS]). Based on immunoprofiles 19 (34%) of the cases were reclassified as ADC and 14 (25%) as SQCC; 23 (41%) of the cases were unclassifiable. Of these 23 cases, 18 were classified as ADC and 5 as SQCC according to the mRSS. Our data show that an extended panel of immunohistochemical markers can reclassify around 60% of LCCs as ADC or SQCC. However, a relevant percentage of LCCs may escape convincing immunohistochemical classification, and mRSS could be used for further typing, but its clinical relevance needs further confirmation.

miR-205 Expression levels in nonsmall cell lung cancer do not always distinguish adenocarcinomas from squamous cell carcinomas.

Accurate classification of nonsmall cell lung cancers is of paramount clinical relevance, as novel chemotherapeutic agents show different efficacy in adenocarcinomas (ADCs) compared with squamous cell carcinomas (SQCCs). Cyto and histomorphology may sometimes be insufficient for this distinction and immunohistochemistry may improve diagnostic accuracy. The measurement of miR-205 may be another tool for the distinction between ADC and SQCC. The aim of our study was to compare morphologic and immunohistochemical classification with the relative quantification of miR-205 and miR-21 insurgically resected and well-characterized lung tumors (25 ADCs, 24 SQCCs, 1 adenosquamous). The miR-21 relative levels were similar in SQCC and ADC, whereas the miR-205 relative levels were lower in ADC (P<0.0001). The miR-205 sample score value, determined according to Lebanony et al, was higher in ADC (range, 2.8 to 9.08) compared with SQCC (range, -4.17 to 2.445) (P<0.0001). Accordingly, 22 tumors were classified as ADC and 28 tumors as SQCC, although 8 cases (2 SQCCs and 6 ADCs) were in the range of "near cutoff values." Four cases classified as SQCC (according to the sample score method) corresponded to cases classified as ADC on the basis of morphoimmunohistochemical evaluation. In conclusion, the relative quantification of miR-205 and miR-21 seems to be a promising diagnostic tool. However, the molecular approach is still not completely satisfactory as it may misclassify a non-negligible percentage of cases. Therefore, it cannot be used as a substitute of accurate morphologic and immunophenotypical characterization of tumors, but could be used as an adjunctive diagnostic criterion in selected cases.

Heterochromatin protein 1 (HP1a) positively regulates euchromatic gene expression through RNA transcript association and interaction with hnRNPs in Drosophila.

Heterochromatin Protein 1 (HP1a) is a well-known conserved protein involved in heterochromatin formation and gene silencing in different species including humans. A general model has been proposed for heterochromatin formation and epigenetic gene silencing in different species that implies an essential role for HP1a. According to the model, histone methyltransferase enzymes (HMTases) methylate the histone H3 at lysine 9 (H3K9me), creating selective binding sites for itself and the chromodomain of HP1a. This complex is thought to form a higher order chromatin state that represses gene activity. It has also been found that HP1a plays a role in telomere capping. Surprisingly, recent studies have shown that HP1a is present at many euchromatic sites along polytene chromosomes of Drosophila melanogaster, including the developmental and heat-shock-induced puffs, and that this protein can be removed from these sites by in vivo RNase treatment, thus suggesting an association of HP1a with the transcripts of many active genes. To test this suggestion, we performed an extensive screening by RIP-chip assay (RNA-immunoprecipitation on microarrays), and we found that HP1a is associated with transcripts of more than one hundred euchromatic genes. An expression analysis in HP1a mutants shows that HP1a is required for positive regulation of these genes. Cytogenetic and molecular assays show that HP1a also interacts with the well known proteins DDP1, HRB87F, and PEP, which belong to different classes of heterogeneous nuclear ribonucleoproteins (hnRNPs) involved in RNA processing. Surprisingly, we found that all these hnRNP proteins also bind heterochromatin and are dominant suppressors of position effect variegation. Together, our data show novel and unexpected functions for HP1a and hnRNPs proteins. All these proteins are in fact involved both in RNA transcript processing and in heterochromatin formation. This suggests that, in general, similar epigenetic mechanisms have a significant role on both RNA and heterochromatin metabolisms.

Cesium chloride sensing and signaling in Saccharomyces cerevisiae: an interplay among the HOG and CWI MAPK pathways and the transcription factor Yaf9.

In yeast, many environmental stimuli are sensed and signaled by the MAP kinases pathways. In a previous work, we showed that cesium chloride activates the HOG pathway and modulates the transcription of several genes, especially those involved in cell wall biosynthesis and organization. The response to cesium was largely overlapping with the response to salt and osmotic stress. However, when low cesium chloride concentrations were used, a specific response was eventually elicited. The cesium-specific response involved the Yaf9 protein and its activity of chromatin remodeling and transcription regulation. In this paper we show that the osmotic activity of cesium salt is detected and signaled by the two branches downstream of the Sln1 and Sho1 sensors of the HOG pathway, that seem to possess different but exchangeables functions in cesium signaling. However, the cesium-specific response mediated by Yaf9, that counteracts the efficiency of the HOG pathway, is not routed by these sensors. In addition, the cesium response also involves the cell wall integrity (CWI) pathway, which is activated by low concentration of cesium chloride. Mutations blocking the CWI pathway show sensitivity to this salt.

Role of Hog1 and Yaf9 in the transcriptional response of Saccharomyces cerevisiae to cesium chloride.

We analyzed the global transcriptional response of Saccharomyces cerevisiae cells exposed to different concentrations of CsCl in the growth medium and at different times after addition. Early responsive genes were mainly involved in cell wall structure and biosynthesis. About half of the induced genes were previously shown to respond to other alkali metal cations in a Hog1-dependent fashion. Western blot analysis confirmed that cesium concentrations as low as 100 mM activate Hog1 phosphorylation. Another important fraction of the cesium-modulated genes requires Yaf9p for full responsiveness as shown by the transcriptome of a yaf9-deleted strain in the presence of cesium. We showed that a cell wall-restructuring process promptly occurs in response to cesium addition, which is dependent on the presence of both Hog1 and Yaf9 proteins. Moreover, the sensitivity to low concentration of cesium of the yaf9-deleted strain is not observed in a strain carrying the hog1/yaf9 double deletion. We conclude that the observed early transcriptional modulation of cell wall genes has a crucial role in S. cerevisiae adaptation to cesium.

Selenite transiently represses transcription of photosynthesis-related genes in potato leaves.

A striking response of potato leaves to aspersion with selenite was observed at the transcriptional level by means of cDNA microarrays analysis. This response is characterized by a general transient repression of genes coding for components of photosynthetic systems and of other light-regulated genes. In particular, maximal repression was observed 8 h after selenite aspersion, while 24 h after the treatment a complete recovery of normal transcriptional levels was detected. Another general feature of the transcriptional response to selenite is represented by the transcriptional induction of genes related to amino acid metabolism, and to stress defense; interestingly, two genes coding for glutathione S-transferases were found early-induced upon selenite treatment.

Distinct DNA elements contribute to Rap1p affinity for its binding sites.

The essential Saccharomyces cerevisiae regulatory protein Rap1 contains two tandem Myb-like DNA binding sub-domains that interact with two defined DNA "hemisites", separated by a trinucleotide linker sequence. We have mapped the thermodynamically defined DNA-binding site of Rap1 by a primer extension method coupled with electrophoretic separation of bound and unbound DNAs. Relative to published consensus sequences, we detect binding interactions that extend 3 bp beyond the 5'-end of the putative DNA-binding site. This new site of interaction is located where the DNA minor groove faces the protein, and may account for the major DNA bending induced by Rap1p that previous studies have mapped to a site immediately upstream of the consensus binding site. In addition, we show that a minimal DNA-binding site made of one single consensus hemisite, preceded or followed by a spacer trinucleotide that interacts with the unstructured protein linker between the two Rap1p DNA binding domains, is able to bind the protein, although at lower affinity. These findings may explain the observed in vivo binding properties of Rap1p at many promoters that lack canonical binding sites.