Circulating miRNAs as Potential Biomarkers for Celiac Disease Development.

Background & Aims: Celiac disease (CeD), an immune-mediated disease with enteropathy triggered by gluten, affects ~1% of the general European population. Currently, there are no biomarkers to predict CeD development. MicroRNAs (miRNAs) are short RNAs involved in post-transcriptional gene regulation, and certain disease- and stage-specific miRNA profiles have been found previously. We aimed to investigate whether circulating miRNAs can predict the development of CeD. Methods: Using next-generation miRNA-sequencing, we determined miRNAs in >200 serum samples from 53 participants of the PreventCD study, of whom 33 developed CeD during follow-up. Following study inclusion at 3 months of age, samples were drawn at predefined ages, diagnosis (first anti-transglutaminase antibody (TGA) positivity or diagnostic biopsy) and after the start of a gluten-free diet (GFD). This allowed identification of circulating miRNAs that are deregulated before TGA positivity. For validation of the biomarkers for CeD and GFD response, two additional cohorts were included in subsequent meta-analyses. Additionally, miRNAs were measured in duodenal biopsies in a case-control cohort. Results: 53 circulating miRNAs were increased (27) or decreased (26) in CeD versus controls. We assessed specific trends in these individual miRNAs in the PreventCD cohort by grouping the pre-diagnostic samples of the CeD patients (all had negative TGA) by how close to seroconversion (first sample positive TGA) the samples were taken. 8/53 miRNAs differed significantly between controls and samples taken <1 year before TGA positivity: miR-21-3p, miR-374a-5p, 144-3p, miR-500a-3p, miR-486-3p let-7d-3p, let-7e-5p and miR-3605-3p. 6/26 downregulated miRNAs reconstituted upon GFD, including miR-150-5p/-3p, whereas no upregulated miRNAs were downregulated upon GFD. 15/53 biomarker candidates also differed between CeD biopsies and controls, with a concordant direction, indicating that these circulating miRNAs might originate from the intestine. Conclusions: We identified 53 circulating miRNAs that are potential early biomarkers for CeD, of which several can be detected more than a year before TGA positivity and some start to normalize upon GFD.

Differential Circulating MicroRNA Expression in Age-Related Macular Degeneration.

This study explored the expression of several miRNAs reported to be deregulated in age-related macular degeneration (AMD). Total RNA was isolated from sera from patients with dry AMD (n = 12), wet AMD (n = 14), and controls (n = 10). Forty-two previously investigated miRNAs were selected based on published data and their role in AMD pathogenesis, such as angiogenic and inflammatory effects, and were co-analysed using a miRCURY LNA miRNA SYBR® Green PCR kit via quantitative real-time polymerase chain reaction (qRT-PCR) to validate their presence. Unsupervised hierarchical clustering indicated that AMD serum specimens have a different miRNA profile to healthy controls. We successfully validated the differentially regulated miRNAs in serum from AMD patients versus controls. Eight miRNAs (hsa-let-7a-5p, hsa-let-7d-5p, hsa-miR-23a-3p, hsa-miR-301a-3p, hsa-miR-361-5p, hsa-miR-27b-3p, hsa-miR-874-3p, hsa-miR-19b-1-5p) showed higher expression in the serum of dry AMD patients than wet AMD patients and compared with healthy controls. Increased quantities of certain miRNAs in the serum of AMD patients indicate that these miRNAs could potentially serve as diagnostic AMD biomarkers and might be used as future AMD treatment targets. The discovery of significant serum miRNA biomarkers in AMD patients would provide an easy screening tool for at-risk populations.

Serum microRNA-33 levels in pre-diabetic and diabetic patients.

Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia and abnormal insulin secretion. MicroRNAs are small, non-coding RNAs that are able to affect cell biological functions and act as biomarkers for some diseases such as DM. In current study, we measured serum miR-33 in three groups (n = 15) as follows; non-diabetic control, pre-diabetic, and DM patients. Real-time PCR method was used to quantify miR-33 expression. miR-33 expression was significantly increased in pre-diabetic subjects compared to other two groups (p < 0.001). FBS (p < 0.001), insulin (p < 0.001), HOMA-IR (p < 0.001), and TG (p = 0.026) were higher in diabetic subjects than the other two groups. In people that had high physical activity, the number of diabetic subjects were zero and most of them were in pre-diabetic group (p = 0.019). Serum miR-33 level significantly and positively correlated with pre-diabetic state (B = 2.67, p = 0.000), Sex (B = 1.03, p = 0.025), and FBS (B = 0.04, p = 0.036) and also miR-33 was significantly and negatively correlated with HOMA-IR (B = - 1.58, p = 0.04). These findings support the possible role of miR-33 to monitor pre-diabetes onset and progression. It needs to be evaluated in future studies with high number of participants to clarify its mechanism and diagnostic viability.

Comparison and optimisation of microRNA extraction from the plasma of healthy pregnant women.

Circulating microRNA (miRNA) biomarkers are implicated in the diagnosis, monitoring and prediction of various disease processes. Before embarking upon biomarker discovery, miRNA extraction techniques must first be optimised in the biofluid and population under study. Using plasma from a healthy pregnant woman, it was attempted to optimise and compare the performance of two commercially available miRNA extraction kits; Qiagen (miRNeasy Serum/Plasma) and Promega (Maxwell® RSC miRNA from Tissue or Plasma or Serum). Sample miRNA content (concentration and percentage) was assessed using Agilent Bioanalyzer Small RNA chips and reverse transcription­quantitative PCR (RT­qPCR) using four constitutively expressed miRNAs (hsa­miR­222­3p, hsa­let­7i­3p, hsa­miR­148­3p and hsa­miR­30e­5p). Quality control spike­ins monitored RNA extraction (UniSp2, 4 and 5) and cDNA synthesis (UniSp6, cel­miR­39­3p) efficiency. Optimisation approaches included: i) Starting volume of plasma; the addition of ii) Proteinase K; iii) a RNA bacteriophage carrier (MS2); and iv) a glycogen carrier. The two kits exhibited equivalence in terms of miRNA recovery based on Bioanalyzer and RT­qPCR ΔΔCq results. Optimisation attempts for both kits failed to improve upon miRNA content compared with standard methodology. Comparing the standard methodology, the Qiagen kit was more consistent (smaller variance of ΔCq values) compared with the Promega kit. The standard methodology of either kit would be suitable for the investigation of miRNA biomarkers in a healthy pregnant population.

Droplet digital polymerase chain reaction-based quantification of circulating microRNAs using small RNA concentration normalization.

Quantification of plasma microRNAs (miRNAs) as non-invasive disease biomarkers is subject to multiple technical variabilities. This study aimed to develop an optimized protocol for miRNA quantification from rodent plasma. We hypothesized that a fixed small RNA concentration input for reverse transcription (RT) reaction will provide better miRNA quantification than a fixed RNA volume input. For this, tail-vein plasma was collected from 30 naïve, adult male Sprague-Dawley rats. Plasma hemolysis was measured with NanoDrop-1000 and Denovix DS-11 spectrophotometers. Plasma was then pooled, and RNA was extracted from 50-µl, 100-µl or 200-µl pool aliquots. Small RNA concentration was measured with Qubit miRNA assay. A fixed RNA volume (un-normalized) or a fixed small RNA concentration was used for RT (concentration-normalized). The method was setup with miR-23a-3p and validated with miR-103a-3p and miR-451a. Hemolysis measurements from Denovix and NanoDrop strongly correlated. Qubit revealed increased small RNA concentrations with increasing starting plasma volumes. With concentration-normalization, miRNA levels from 100-µl and 200-µl plasma volume groups mostly normalized to the level of the 50-µl in ddPCR. Our results indicate that miRNA quantification with ddPCR should be performed with small RNA concentration-normalization to minimize variations in eluted RNA concentrations occuring during RNA extraction.

Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples.

Sample collection, processing, storage and isolation methods constitute pre-analytic factors that can influence the quality of samples used in research and clinical practice. With regard to biobanking practices, a critical point in the sample's life chain is storage, particularly long-term storage. Since most studies examine the influence of different temperatures (4°C, room temperature) or delays in sample processing on sample quality, there is only little information on the effects of long-term storage at ultra-low (vapor phase of liquid nitrogen) temperatures on biomarker levels. Among these biomarkers, circulating miRNAs hold great potential for diagnosis or prognosis for a variety of diseases, like cancer, infections and chronic diseases, and are thus of high interest in several scientific questions. We therefore investigated the influence of long-term storage on levels of eight circulating miRNAs (miR-103a-3p, miR-191-5p, miR-124-3p, miR-30c-5p, miR-451a, miR-23a-3p, miR-93-5p, miR-24-3p, and miR-33b-5p) from 10 participants from the population-based cohort study KORA. Sample collection took place during the baseline survey S4 and the follow-up surveys F4 and FF4, over a time period spanning from 1999 to 2014. The influence of freeze-thaw (f/t) cycles on miRNA stability was also investigated using samples from volunteers (n = 6). Obtained plasma samples were profiled using Exiqon's miRCURYTM real-time PCR profiling system, and repeated measures ANOVA was used to check for storage or f/t effects. Our results show that detected levels of most of the studied miRNAs showed no statistically significant changes due to storage at ultra-low temperatures for up to 17 years; miR-451a levels were altered due to contamination during sampling. Freeze-thawing of one to four cycles showed an effect only on miR-30c-5p. Our results highlight the robustness of this set of circulating miRNAs for decades of storage at ultra-low temperatures and several freeze-thaw cycles, which makes our findings increasingly relevant for research conducted with biobanked samples.

A novel assay for exosomal and cell-free miRNA isolation and quantification.

The use of disease-specific signatures of microRNAs (miRNAs) in exosomes has become promising for clinical applications, either as biomarkers or direct therapeutic targets. However, a new approach for exosome enrichment and quantification of miRNAs is urgently needed for its clinical application, since the commercial techniques have shortcomings in quantity and quality. To overcome these deficiencies, we developed a new method for purification of exosomes with subsequent miRNA extraction, followed by quantitative reverse transcription polymerase chain reaction (RT-qPCR), and compared our assays with commercial techniques. For the establishment of these methods, numerous reagents, parameters, and combinations thereof were examined. Our new technique for exosome extraction is based on a mannuronate-guluronate polymer (MGP) which avoids co-precipitating plasma proteins. Quality, concentration and biological activity of the isolated exosomes were examined by Western blot, Nanoparticle Tracking Analysis (NTA), and confocal microscopy. A combination of chaotropic and non-chaotropic salts was used to extract miRNAs from plasma, serum, and exosomes, allowing the exclusion of hazardous components, such as phenol/chloroform. The performance of the miRNAs extraction was verified by RT-qPCR. The chemistry and TaqMan probe were also optimized for RT-qPCR. Sensitivity, efficiency, and linearity of RT-qPCR were tested on serial dilutions of synthetic miR-16 and miR-142. Our established procedure covers all steps of miRNA analyses, and measures the levels of either cell-free and exosomal miRNAs in plasma, serum and other body fluids with high performance.

Exosomal miRNAs are potential diagnostic biomarkers between malignant and benign thyroid nodules based on next-generation sequencing.

An accurate biomarker or method for diagnosis of thyroid nodule with indeterminate fine-needle aspiration result is essential for clinical treatment. Micro RNAs (miRNAs) of exosomes are advantageous in the diagnosis of tumors because they are highly stable, and be protected by a bilayer membrane structure. Exosomes were isolated from 13 papillary thyroid carcinoma (PTC) and 7 nodular goiter (NG) patients' plasma. Small RNA sequencing was performed on exosomes' RNA in next-generation sequencing (NGS) platform. Then, we performed comprehensive analysis on miRNA expression profile in exosome of two groups. One hundred and twenty-nine differentially expressed miRNAs were identified in plasma exosomes between PTC and NG patients. Forty-nine miRNAs were up-regulated, and 80 miRNAs were down-regulated in PTC patients. Receiver operating characteristic (ROC) curves of 129 miRNAs were plotted. Area under curve (AUC) of 129 miRNAs was 0.571-0.951, with distribution peak of 0.82-0.86. AUC of 11 miRNAs was above 0.9, miR-5189-3p had the most optimal performance for diagnosis between PTC and NG, with 0.951 of AUC. Target genes of 129 miRNAs were enriched into 7 cancer-related signaling pathways, including mitogen-activated protein kinase (MAPK), tumor necrosis factor (TNF), NF-kappa B signaling pathway and so on. This study profiled the miRNA signature of exosomes from PTC patients and NG patients. We proposed a group of miRNAs in plasma exosomes as candidate biomarkers for thyroid nodule diagnosis.

MIQE-Compliant Validation of MicroRNA Biomarker Signatures Established by Small RNA Sequencing.

MicroRNAs (miRNAs), a class of small non-coding RNAs that modulate gene expression at the post-transcriptional level, are attractive targets in many academic and diagnostic applications. Among them, assessing miRNA biomarkers in minimally invasive liquid biopsies was shown to be a promising tool for managing diseases, particularly cancer. The initial screening of disease-relevant transcripts is often performed by high-throughput next-generation sequencing (NGS), in here RNA sequencing (RNA-Seq). After complex processing of small RNA-Seq data, differential gene expression analysis is performed to evaluate miRNA biomarker signatures. To ensure experimental validity, biomarker candidates are commonly validated by an orthogonal technology such as reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). This chapter outlines in detail the material and methods one can apply to reproducibly identify miRNA biomarker signatures from blood total RNA. After screening miRNA profiles by small RNA-Seq, resulting data is validated in compliance with the "Minimum Information for Publication of Quantitative Real-Time PCR Experiments" (MIQE) guidelines.

Circulating miRNA analysis for cancer diagnostics and therapy.

Successful treatment of cancer depends on early diagnosis and effective monitoring of patients' response to therapy. Traditional tools based on tumor biopsies lack the sensitivity and specificity to capture cancer development in its early phases and are not applicable for continuous monitoring. To overcome these barriers, liquid biopsies have been introduced as a minimally invasive and cost-efficient means of diagnosis with high level of specificity and sensitivity. Traditionally, liquid biopsy markers include circulating tumor cells and circulating tumor DNA. During the last decade, a new promising group of biomarkers has appeared and its utilization for cancer diagnosis and monitoring is intensively studied - the microRNAs (miRNAs). In this review, we provide a comprehensive overview of circulating miRNA analysis. We highlight the importance of sampling and quality control, discuss the technical aspects of miRNA extraction and quantification, summarize recommendations for downstream analysis and conclude with future perspectives. Taken together, we present the current state of knowledge in the field of miRNA analysis in liquid biopsies and the expected development and standardization.

Study of the preanalytical variables affecting the measurement of clinically relevant free-circulating microRNAs: focus on sample matrix, platelet depletion, and storage conditions.

INTRODUCTION: Circulating microRNAs (miRNAs) are emerging as potential biomarkers. However, the lack of preanalytical and analytical standardization limits their use. The aim of this study was to determine the expression of different miRNAs in plasma according to different collection and storage conditions. MATERIALS AND METHODS: Venous blood from 10 volunteers was collected in tubes spray-coated with dipotassium salt of ethylendiaminetetraacetic acid, either with (plasma-preparation tube, PPT) or without (K2EDTA) gel separator. Platelet-poor plasma (PPP) was also obtained from K2EDTA plasma. After storage under different conditions, miRNA-enriched total RNA was isolated from plasma and reverse transcribed. A panel of 179 miRNAs was assayed by quantitative polymerase chain reaction and the results were analysed by GenEx software. Detectability and stability of miRNAs were determined. RESULTS: The number of undetected miRNAs was: 18, 24, and 22 in PPT; 83, 43, and 20 in K2EDTA; and 76, 106, and 104 in PPP samples, for plasma immediately frozen at - 80°C and plasma stored for 24h at room temperature or 4°C, respectively. Circulating miRNA expression in PPT samples was not affected by storage delay or temperature, while the percentage of up- and down-regulated miRNA in K2EDTA and PPP samples ranged from 2%, and 1% to 7%, and 5%, respectively. CONCLUSIONS: Sample matrix, temperature and delay in storage strongly influence the expression level of plasma miRNAs. Our results indicate PPT tubes as the most suitable matrix to improve total miRNA detectability and stability, independently of temperature.

The effect of H1N1 vaccination on serum miRNA expression in children: A tale of caution for microRNA microarray studies.

BACKGROUND: MicroRNAs (miRNAs) are a class of small regulatory RNAs around 21-25 nucleotides in length which govern many aspects of immunity including the host innate and adaptive responses to infection. RT-qPCR studies of select microRNAs show that vaccination alters the expression circulating microRNAs but the effect of vaccination on the global microRNA population (i.e. micronome) has never been studied. AIM: To describe vaccine associated changes in the expression of microRNAs 21 days after vaccination in children receiving a pandemic influenza (H1N1) vaccination. METHOD: Serum samples were obtained from children aged 6 months to 12 years enrolled in an open label randomised control trial of two pandemic influenza (H1N1) vaccines, in which participants received either ASO3B adjuvanted split virion or a whole virion non-adjuvanted vaccine. MicroRNA expression was profiled in a discovery cohort of participants prior to, and 21 days after vaccination using an Agilent microarray platform. Findings were followed up by RT-qPCR in the original discovery cohort and then in a validation cohort of participants taken from the same study. RESULTS: 44 samples from 22 children were assayed in a discovery cohort. The microarray results revealed 19 microRNAs were differentially expressed after vaccination after adjustment for multiple testing. The microarray detected ubiquitous expression of several microRNAs which could not be validated by RT-qPCR, many of which have little evidence of existence in publicly available RNA sequencing data. Real time PCR (RT-qPCR) confirmed downregulation of miR-142-3p in the discovery cohort. These findings were not replicated in the subsequent validation cohort (n = 22). CONCLUSION: This study is the first study to profile microRNA expression after vaccination. An important feature of this study is many of the differentially expressed microRNAs could not be detected and validated by RT-qPCR. This study highlights the care that should be taken when interpreting omics biomarker discovery, highlighting the need for supplementary methods to validate microRNA microarray findings, and emphasises the importance of validation cohorts. Data from similar studies which do not meet these requirements should be interpreted with caution.

MicroRNA Isolation by Trizol-Based Method and Its Stability in Stored Serum and cDNA Derivatives.

MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression at the post-transcriptional level. Since aberrant expression of miRNAs has been proposed as usage for blood-based biomarkers, hence reliable techniques for miRNA isolation as well as stability of miRNAs in various stored conditions needs to be explored. This present study aimed to investigate the efficacy of the Trizol-based isolation technique and the stability of miRNAs in stored serum and cDNA derivatives. Total RNA, including miRNAs, was isolated from human serum and a comparison of the efficiency of the Trizol®LS reagent isolation method against the miRNeasy®mini kit was conducted. Expression of RNU6, miR-145, and miR-20a was determined by quantitative real-time polymerase chain reaction (qRT-PCR). We showed that Trizol®LS isolation yielded significantly lower RNA concentrations than that of the miRNeasy®mini kit by approximately 35%. Purity of the isolated RNAs by both methods was similar. RNU6, miR-145, and miR-20a degraded at room temperature, but all genes were stable at 4ºC, -20ºC and -80ºC for a 72-hrs period, in both serum and cDNA storage conditions. In the stored cDNA derivatives, we observed the stability of RNU6, miR-145, and miR-20a for 3 months at -20ºC, and all genes also resisted 4 repeated freeze-thaw cycles at -20ºC. In conclusion, the Trizol-based method is efficient as well as economical to use for quantification of circulating miRNAs. In addition, we proposed that the storage of miRNA-derived cDNAs may be an alternative choice to avoid the stability effect.

Multicenter Evaluation of Circulating Plasma MicroRNA Extraction Technologies for the Development of Clinically Feasible Reverse Transcription Quantitative PCR and Next-Generation Sequencing Analytical Work Flows.

BACKGROUND: In human body fluids, microRNA (miRNA) can be found as circulating cell-free miRNA (cfmiRNA), as well as secreted into extracellular vesicles (EVmiRNA). miRNAs are being intensively evaluated as minimally invasive liquid biopsy biomarkers in patients with cancer. The growing interest in developing clinical assays for circulating miRNA necessitates careful consideration of confounding effects of preanalytical and analytical parameters. METHODS: By using reverse transcription quantitative real-time PCR and next-generation sequencing (NGS), we compared extraction efficiencies of 5 different protocols for cfmiRNA and 2 protocols for EVmiRNA isolation in a multicentric manner. The efficiency of the different extraction methods was evaluated by measuring exogenously spiked cel-miR-39 and 6 targeted miRNAs in plasma from 20 healthy individuals. RESULTS: There were significant differences between the tested methods. Although column-based extraction methods were highly effective for the isolation of endogenous miRNA, phenol extraction combined with column-based miRNA purification and ultracentrifugation resulted in lower quality and quantity of isolated miRNA. Among all extraction methods, the ubiquitously expressed miR-16 was represented with high abundance when compared with other targeted miRNAs. In addition, the use of miR-16 as an endogenous control for normalization of quantification cycle values resulted in a decreased variability of column-based cfmiRNA extraction methods. Cluster analysis of normalized NGS counts clearly indicated a method-dependent bias. CONCLUSIONS: The choice of plasma miRNA extraction methods affects the selection of potential miRNA marker candidates and mechanistic interpretation of results, which should be done with caution, particularly across studies using different protocols.

The biology and clinical potential of circulating tumor cells.

Background Tumor cells can shed from the tumor, enter the circulation and travel to distant organs, where they can seed metastases. These cells are called circulating tumor cells (CTCs). The ability of CTCs to populate distant tissues and organs has led us to believe they are the primary cause of cancer metastasis. The biological properties and interaction of CTCs with other cell types during intravasation, circulation in the bloodstream, extravasation and colonization are multifaceted and include changes of CTC phenotypes that are regulated by many signaling molecules, including cytokines and chemokines. Considering a sample is readily accessible by a simple blood draw, monitoring CTC levels in the blood has exceptional implications in oncology field. A method called the liquid biopsy allows the extraction of not only CTC, but also CTC products, such as cell free DNA (cfDNA), cell free RNA (cfRNA), microRNA (miRNA) and exosomes. Conclusions The clinical utility of CTCs and their products is increasing with advances in liquid biopsy technology. Clinical applications of liquid biopsy to detect CTCs and their products are numerous and could be used for screening of the presence of the cancer in the general population, as well as for prognostic and predictive biomarkers in cancer patients. With the development of better CTC isolation technologies and clinical testing in large prospective trials, increasing clinical utility of CTCs can be expected. The understanding of their biology and interactions with other cell types, particularly with those of the immune system and the rise of immunotherapy also hold great promise for novel therapeutic possibilities.

Label-free fluorescence detection of circulating microRNAs based on duplex-specific nuclease-assisted target recycling coupled with rolling circle amplification.

A simpler, more rapid and selective biosensor has been developed for the sensitive detection of circulating miRNAs (c-miRNAs) based on duplex-specific nuclease (DSN)-assisted target recycling coupled with rolling circle amplification (RCA) using SYBR Gold Dye as a signal indicator. This biosensor exhibits a tremendously low detection limit of 0.3 fM of c-miRNAs and shows high selectivity for one-base mismatched c-miRNA. In addition, most importantly, the biosensor could accurately determine the amounts of target c-miRNA in total c-miRNAs isolated from human serums and human cancer cell lines, which confirms that the biosensor could be used to quantify c-miRNAs in complex biological samples and for the clinical early diagnosis of cancers based on c-miRNAs detection.

Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation.

Poor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of 10 exRNA isolation methods across 5 biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNA-seq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle (EV)-, ribonucleoprotein (RNP)-, and high-density lipoprotein (HDL)-specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level, and reproducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.

Novel Circulating miRNA Signatures for Early Detection of Pancreatic Neoplasia.

OBJECTIVES: Pancreatic ductal adenocarcinoma (PDAC) presents the lowest survival rate of all cancers because only 6% of patients reach five-year survival. Alterations in the expression of several microRNAs (miRNAs) occur in the tumor of PDAC and in preneoplastic lesions as the called intraductal papillary mucinous neoplasm (IPMN). Here, we aimed at identifying which miRNAs are significantly altered in liquid biopsies from patients with PDAC and IPMN to find new noninvasive biomarkers for early detection of PDAC. METHODS: We analyzed by real-time quantitative reverse transcription-PCR (qRT-PCR) the expression of 17 circulating miRNAs, previously found to be significantly overexpressed in tissue pancreatic neoplasms, in a set of 182 plasma samples (94 PDAC, 19 IPMN, 18 chronic pancreatitis, and 51 disease-free controls). Then, we analyzed CA19.9 levels in the same plasma set, and we assessed the diagnostic values of differentially expressed miRNAs, CA19.9, and all possible combinations. RESULTS: Of note, 16, 14, and 9 miRNAs were significantly increased in PDAC, IPMN, and chronic pancreatitis, respectively, compared with control plasmas. miR-21-5p, miR-33a-3p, miR-320a, and miR-93-5p showed the highest discriminating capacity for pancreatic neoplasia (PDAC or IPMN) with an area under the receiver operating characteristic curve (AUC) of 0.86, 0.85, 0.85, and 0.80, respectively. 2-miRNA combinations improved these performances reaching AUC = 0.90 for "miR-33a-3p+miR-320a." Addition of CA19.9 increased the diagnostic potential of miRNA signatures even further achieving an AUC of 0.95 (93% sensitivity and 85% specificity) for the combination of "miR-33a-3p+miR-320a+CA19.9." CONCLUSIONS: Novel signatures combining miRNAs and CA19.9 could be used as noninvasive biomarkers for early detection of PDAC.

Evaluation of circulating miR-21 and miR-222 as diagnostic biomarkers for gastric cancer.

INTRODUCTION: Gastric cancer is responsible for a large number of death worldwide and its high death rate is associated with a lack of noninvasive tools in GC diagnosis. MicroRNAs (miRNAs), as gene regulators, were shown to dysregulate in different types of cancer. Moreover, it is proven that miRNAs are stable in serum/plasma, so they can be used as a potential noninvasive marker in GC diagnosis. The objective of this study is to investigate the plasma miRNA expression in GC samples compared to controls as a potential biomarker in cancer diagnosis. MATERIALS AND METHODS: Expression levels of miR-21 and miR-222 were assessed using quantitative real-time polymerase chain reaction in plasma of 30 GC patients and 30 healthy controls. Diagnostic value of selected miRNAs was evaluated using receiver operating characteristic curve. Target prediction was done using bioinformatics tools to investigate the signaling pathways and function of the selected miRNAs. RESULTS: Our results demonstrated that the expression levels of miR-21 and miR-222 were significantly higher in GC plasma than in the controls (P < 0.0001, P = 0.043). The sensitivity and specificity for miR-21 and in plasma were 86.7% and 72.2% and for miR-222 were 62.5% and 56.2%, respectively. Bioinformatics analysis revealed that most target genes of miR-21 and miR-222 are involved in cancer-related signaling pathway such as tumor initiation and progression. CONCLUSION: Our results indicated that miR-21 and miR-222 in plasma samples can be served as a potential noninvasive tool in GC detection. Furthermore, the miRNA target prediction manifested that miR-21 and miR-222 involve in key processes associated with GC initiation and development.

Two-tailed RT-qPCR panel for quality control of circulating microRNA studies.

Circulating cell-free microRNAs are promising candidates for minimally invasive clinical biomarkers for the diagnosis, prognosis and monitoring of many human diseases. Despite substantial efforts invested in the field, the research so far has failed to deliver expected results. One of the contributing factors is general lack of agreement between various studies, partly due to the considerable technical challenges accompanying the workflow. Pre-analytical variables including sample collection, RNA isolation, and quantification are sources of bias that may hamper biological interpretation of the results. Here, we present a Two-tailed RT-qPCR panel for quality control, monitoring of technical performance, and optimization of microRNA profiling experiments from biofluid samples. The Two-tailed QC (quality control) panel is based on two sets of synthetic spike-in molecules and three endogenous microRNAs that are quantified with the highly specific Two-tailed RT-qPCR technology. The QC panel is a cost-effective way to assess quality of isolated microRNA, degree of inhibition, and erythrocyte contamination to ensure technical soundness of the obtained results. We provide assay sequences, detailed experimental protocol and guide to data interpretation. The application of the QC panel is demonstrated on the optimization of RNA isolation from biofluids with the miRNeasy Serum/Plasma Advanced Kit (Qiagen).