A serum microRNA panel as potential biomarkers for hepatocellular carcinoma related with hepatitis B virus
ABSTRACT: Background: The identification of new high sensitivity and specificity markers for HCC are essential. We aimed to identify serum microRNAs for diagnosing hepatitis B virus (HBV) –related HCC. Methods: Serum microRNA expression was investigated with four cohorts including 667 participants (261 HCC patients ,233 cirrhosi patients and 173 healthy controls), recruited between August 2010 and June 2013. First, An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls,respectively. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using a training cohort (n=357) and then validated using a cohort(n=241). The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: , We identified 8 miRNAs(hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p and hsa-miR-26a-5p.) formed a miRNA panel that provided a high diagnostic accuracy of HCC (AUC=0.887 and 0.879 for training and validation data set, respectively). The microRNA panel can also differentiate HCC from healthy (AUC =0.894) and cirrhosis (AUC = 0.892), respectively. Conclusions:We found a serum microRNAs panel that has considerable clinical value in diagnosing HCC. 9 serum samples pooled from 3 healthy control donors and 3 HCC patients, 3 cirrhosi patients treated at The First Affiliated Hospital of Soochow University were subjected to Illumina HiSeq 2000 deep sequencing to identify the miRNAs that were significantly differentially expressed.
Project description:Background & Aims: MicroRNAs have been shown to offer great potential in the diagnosis of cancer. We aimed to identify microRNAs in peripheral blood mononuclear cells (PBMCs) for diagnosing pancreatic cancer (PC). Methods: PBMCs microRNA expression was investigated in three independent cohorts including 352 participants (healthy, benign pancreatic/peripancreatic diseases (BPD), and PC). First, we used sequencing technology to identify differentially expressed microRNAs in 60 PBMCs samples for diagnosing PC. Quantitative reverse-transcriptase polymerase chain reaction assay was then applied to evaluate the expression of selected microRNAs. A logistic regression model was constructed using an independent cohort. Area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results: We found that PBMCs miR-27a-3p could efficiently discriminate PC from BPD (AUC=0.840; 95% CI, 0.787 to 0.885; sensitivity=82.2%, specificity=76.7%). A panel composed of PBMCs miR-27a-3p and serum CA19-9 provided a high diagnostic accuracy in differentiating PC from BPD in the clinical setting (AUC=0.886; 95% CI, 0.837 to 0.923; sensitivity=85.3%, specificity=81.6%). The satisfactory diagnostic performance of the panel persisted regardless of disease status (AUCs for tumour-node-metastasis stagesⅠ,Ⅱ, and Ⅲ were 0.881, 0.884, and 0.893, respectively). Conclusion: PBMCs miR-27a-3p could be a potential marker for PC screening. A panel composed of PBMCs miR-27a-3p and serum CA19-9 has considerable clinical value in diagnosing early-stage PC. Therefore, patients who would have otherwise missed the curative treatment window can benefit from optimal therapy. Examination of different MicroRNA profiles in 3 types of PBMCs samples
Project description:The objective of this study was the identification of serum microRNAs that can differentiate osteoporotic fracture patients with and without type-2 diabetes from healthy control subjects. For that purpose circulating microRNAs were profiled by real-time quantitative PCR using a custom 384-well panel in 200 µl serum samples. Univariate and multivariate statistical tools were used in order to identify single as well as combinations of circulating microRNas that were characteristic of patients with prevalent osteoporotic fractures: a qRT-PCR-based classifier consisting of miR-550a-5p, miR-96-5p, miR-32-3p and miR-486-5p can distinguish T2D women with (DMFx) and without fragility fractures (DM) with high specifitiy and sensitivity (AUC = 0.93). A classifier consisting of miR-188-3p, miR-382-3p, miR-942 and miR-155-5p was capable of differentiating between postmenopausal women with osteoporotic fractures and fracture-free controls with an AUC of 0.98. Overall design: qPCR circulating microRNA profiling. Four groups were defined: postmenopausal women without type-2 diabetes and no history of osteoporotic fractures (CO); postmenopausal women without type-2 diabetes and a history of at least one (non-recent) osteoporotic fractures (FX); postmenopausal women with type-2 diabetes and no history of osteoporotic fractures (DM); postmenopausal women with type-2 diabetes and a history of at least one (non-recent) osteoporotic fractures (DMFX)
Project description:Introduction: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients. Methods: Serum samples were collected from 12 primary OA patients and 12 healthy individuals and were screened using the Agilent Human miRNA Microarray. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative Real-time PCR (qRT-PCR) in all serum samples and in articular cartilage samples from OA patients (n=12) and healthy individuals (n=7). Bioinformatics analysis was used to investigate the involved pathways and target genes of the above miRNAs. Results: We identified 279 differentially expressed miRNAs in the serum of OA patients compared to healthy controls. 205 (73.5%) were up-regulated and 74 (26.5%) down-regulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC)> 0.8 and p<0.05. Bioinformatics analysis in 7 out of the 77 selected miRNAs (hsa-miR-33b-3p, hsa-miR-4284, hsa-miR-671-3p, hsa-miR-663a, hsa-miR-140-3p, hsa-miR-150-5p and hsa-miR-1233-3p) revealed that their target genes were involved in multiple signaling pathways, among which FOXO, mTOR, pI3K/akt, lipid metabolism and TGF-β. A serum miRNA signature including three down-regulated miRNAs (hsa-miR-33b-3p, hsa-miR-671-3p and hsa-miR-140-3p) were also verified by qRT-PCR in OA patients. Furthermore, we found that hsa-miR-140-3p, hsa-miR-671-3p and potentially hsa-miR-33b-3p expression levels were consistently down-regulated in articular cartilage of OA patients compared to healthy individuals. Conclusions: A global miRNA serum signature was revealed in OA patients. We identified a three- miRNA signature in peripheral serum which could be potential osteoarthritis biomarkers. Overall design: Serum samples were collected from 12 patients with primary OA (9 females, 3 males, ages: 69.83 ± 4.83 years) undergoing total knee replacement surgery at the Orthopaedics Department of the University Hospital of Larissa. Radiographs were obtained before surgery and graded using the Kellgren-Lawrence system according to the following criteria: grade 1 (doubtful narrowing of joint space and possible osteophytes), grade 2 (definite osteophytes and possible narrowing of joint space), grade 3 (moderate multiple osteophytes, definite narrowing of joint space and some sclerosis and possible deformity of bone ends) and grade 4 (large osteophytes, marked narrowing of joint space, severe sclerosis and definite deformity of bone ends). All OA patients had a Kellgren-Lawrence grade ≥3. The assessment of the radiographs by two independent expert observers was blinded. Patients with rheumatoid arthritis and other autoimmune disease as well as chondrodysplasias, infection-induced OA and post-traumatic OA were excluded from the study. As controls, serum samples were obtained from 12 healthy individuals (6 females, 6 males, ages: 64,25± 5,04 years) undergoing knee fracture repair surgery, with no history of joint disease, who did not show clinical manifestations compatible with OA when specifically explored by radiography. Consent was obtained from each participant. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a priori approval by the local ethical committee of the University Hospital of Larissa. Articular cartilage samples (n=12) were collected from femoral condyles and tibial plateaus of the same OA patients, while normal articular cartilage was obtained from 7 out of the 12 healthy individuals.
Project description:The aim of the present study was to examine differentially expressed miRNAs in plasma between EGFR-TKIs sensitive and EGFR-TKIs primary resistance patients. Overall design: MiRNA microarray of plasma from patients’ blood identified 16 differentially expressed miRNAs of which 15 (hsv2-miR-H19, hsa-miR-744-5p, hsa-miR-3196, hsa-miR-3153, hsa-miR-4791, hsa-miR-4803, hsa-miR-4796-3p, hsa-miR-372-5p, hsa-miR-138-2-3p, hsa-miR-16-1-3p, hsa-miR-1469, hsa-miR-585-3p, ebv-miR-BART14-5p, hsa-miR-769-3p, hsa-miR-548aq-5p) were down regulated while only hsa-miR-503-3p was up regulated in primary resistant patients’ plasma. Volcano plot and hierarchical clustering were performed to examine the accuracy of the miRNAs. Then validation with quantitative real-time PCR was performed and the result was in accordance with the array data. Functional analysis of these differentially expressed miRNAs with Ingenuity Pathway Analysis (IPA) revealed a common signaling network including MYC, CCND1, IGF1 and RELA.
Project description:Background: Mild cognitive impairment (MCI) is an intermediate state between normal aging, and Alzheimer’s disease, and other dementias. Early detection of dementia, and MCI, is a crucial issue in terms of secondary prevention. Blood biomarker detection is a possible way for early detection of MCI. Although disease biomarkers are detected by, in general, using single molecular analysis such as t-test, another possible approach is based on interaction between molecules. Results: Differential correlation analysis, which detects difference on correlation of two variables in case/control study, was carried out to the dataset with 745 microRNAs (miRNAs) from plasma samples of 30 age-matched controls and 23 MCI patients in Japan. The 20 pairs of miRNAs, which consist of 20 miRNAs, were selected as MCI markers. Two pairs of miRNAs (hsa-miR-191 and hsa-miR-101, and hsa-miR-103 and hsa-miR-222) out of 20 attained the highest area under the curve (AUC) value of 0.962 for MCI detection. Other two miRNA pairs that include hsa-miR-191 and hsa-miR-125b also attained high AUC value of ≥ 0.95. Pathway analysis was performed to the MCI markers for further understanding of biological implications. As a result, collapsed correlation on hsa-miR-191 and emerged correlation on hsa-miR-125b may have key role in MCI, and dementia progression. Conclusion: Differential correlation analysis, a bioinformatics tool to elucidate complicated and interdependent biological systems behind diseases, detects effective MCI markers that cannot be found by single molecule analysis such as t-test. Overall design: To detect plasma miRNA biomarker for MCI, the blood samples were collected from 30 age-matched controls (Normal, 12 males and 18 females, mean age of 70.4) and 23 MCI patients (11 males and 12 females, mean age of 72.8).Total RNA was extracted from plasma using the miRNeasy Mini Kit (Qiagen). Then, the miRCURY LNA™ Universal RT microRNA PCR System, Ready-to-Use Human panel I and panel II, V2. were performed to profile miRNAs differential expression in these plasma samples. Processed data were compared between control and MCI groups.
Project description:Circulating microRNAs (miRNAs) in serum may serve as promising diagnostic biomarkers for patients with gastric cancer (GC). Using quantitative reverse transcription polymerase chain reaction (qRT-PCR) based Exiqon panel, we identified 58 differentially expressed miRNAs from 3 GC pool samples and 1 normal control (NC) pool in the initial screening phase. Identified miRNAs were further validated in the training (49 GC VS. 47 NCs) and validation phases (154 GC VS. 120 NCs) using qRT-PCR. Consequently, six serum miRNAs (miR-10b-5p, miR-132-3p, miR-185-5p, miR-195-5p, miR-20a-3p and miR-296-5p) were significantly overexpressed in GC compared with NCs. The areas under the receiver operating characteristic (ROC) curve of the six-miRNA panel were 0.764 and 0.702 for the training and validation phases, respectively. In conclusion, we identified a six-miRNA panel in serum for the detection of GC. Overall design: All blood samples were collected from First Affiliated Hospital of Nanjing Medical University. The serum sample was stored at -80°C for further processing. In the initial screening phase, serum samples were collected from 30 GC patients and 10 NCs and pooled as 3 GC pool samples (GC pool 1, GC pool 2 and GC pool 3) and 1 NC pool sample (10 serum samples were pooled as 1 pool sample).
Project description:This study aimed to investigate the molecular mechanism responsible for primary open-angle glaucoma (POAG) progression. We analyzed microRNAs (miRNAs) expression profiling in aqueous humor (AH) of both POAG patients and normal controls, using a microarray-based approach. Subsequently, differentially expressed miRNAs (DEmiRNAs) were identified using Bayes moderated t-test. Next, DEmiRNAs target genes were predicted based on miRNA databases, followed by GO analysis and pathway analysis using DAVID. Furthermore, OAG-related genes analysis for target genes was carried out using CTD database, respectively. Finally, verification of DEmiRNAs expression levels was performed by RT-qPCR. A total of 40 significant DEmiRNAs were identified between control and POAG groups, including 24 up-regulated miRNAs and 16 down-regulated miRNAs. Further, the target genes of hsa-miR-206, including BMP2, SMAD4, ID2, and TNF, were mainly enriched in transforming growth factor-β (TGF-β) signaling pathway. While, target genes of hsa-miR-184, hsa-miR-34c-5p, hsa-miR-7-2-3p and hsa-miR-20b-3p, including BCL2, EPHB2, VEGFA, COL4A1, APC, and TGFBR1, were enriched in eye development. Moreover, FNDC3B, CAV2 and VEGF, target genes of hsa-miR-206 or hsa-miR-34c-5p, were the OAG-related genes. Ultimately, RT-qPCR analysis confirmed that mRNA levels of hsa-miR-206, hsa-miR-7-2-3p, and hsa-miR-20b-3p were increased, while those of hsa-miR-184 and hsa-miR-34c-5p were decreased in POAG compared with normal groups (P < 0.05). Hsa-miR-206, hsa-miR-184, hsa-miR-34c-5p, hsa-miR-7-2-3p and hsa-miR-20b-3p might play a significant role in the pathogenesis of POAG and hsa-miR-206 might be associated with the development of POAG by regulating TGF-β signaling pathway. These results might provide insight toward a better understanding of the pathogenesis of POAG. Overall design: Fifteen patients with ocular hypertensive POAG, who needed glaucoma filtrating surgeries, were enrolled in this studydisease group:PA group,PB group,PC group;each group of five patients). Fifteen patients with cataract undergoing cataract surgery were recruited as normal group (normal group:NA group,NB group,NC group;each group of five patients).
Project description:We analyzed the expression profiles of hsa-miR-145-5p or hsa-miR-31-5p-targeting genes relating to invasion or migration after co-overexpression of hsa-miR-145-5p and 31-5p Gene expression profiles of U87 cells after co-transfection with hsa-miR-145-5p and 31-5p mimics, and U87 cells after transfection miR mimic negative control
Project description:MicroRNAs (miRNAs) are abundant in the circulation and play a central role in diverse biological processes; they may be useful for early diagnosis of hepatocellular carcinoma (HCC). We conducted a two-phase, case-control study (20 pairs for the discovery set and 49 pairs for the validation set) to test the hypothesis that genome-wide dysregulation of circulating miRNAs differentiate HCC cases from controls. Taqman low density arrays were used to examine genome-wide miRNA expression for the discovery set, and quantitative RT-PCR was used to validate candidate miRNAs for both discovery and validation sets. Sixty-six miRNAs were found to be significantly over-expressed in plasma of HCC cases compared to controls after adjusting for false discovery rate (p<0.05). A volcano plot indicated that 7 miRNAs had greater than 2-fold case-control differences with p<0.01. Four significant miRNAs (miR-150, miR-30c, miR-483-5p and miR-520b) detectable in all samples with varied expression levels were further validated in a validation set. MiR-483-5p was statistically significantly over-expressed in HCC cases compared with controls (3.20 vs. 0.82, p<0.0001). HCC risk factors and clinic-pathological characteristics did not influence miR-483-5p expression. The combination of plasma miR-483-5p level and HCV status can significantly differentiate HCC cases from controls with an AUC of 0.908 (p<0.0001). The sensitivity and specificity were, respectively, 75.5% and 89.8%. These preliminary results suggest the importance of dysregulated circulating miR-483-5p as a potential HCC biomarker. Confirmation of aberrant expression of miR-483-5p in a large prospective HCC study will provide support for its application to HCC detection. A hospital-based HCC case-control study including 20 HCC patients and 20 controls is conducted in Columbia University Medical Center (CUMC), which is approved by the Institutional Review Board. Cases were newly diagnosed HCC patients who were treated in the Hepatobiliary Oncology Clinics, CUMC, and examined pathologically. Controls were recruited from volunteers through the Research Recruitment and Minority Outreach (RRMO) core of Herbert Irving Comprehensive Cancer Center (HICCC). Flyers were placed at strategic locations around CUMC where hospital visitors and employees frequent or were handed out at inreach events at the hospital or at outreach events in the community. Interested participants were directed to contact the trained recruitment staff from the RRMO and given further information about participation. Interested participants were excluded from the control group if diagnosed for any kind of cancer or liver disease. Eligible controls were asked to fill out the same demographic and epidemiological questionnaire as HCC cases. In the current study, controls were matched with HCC cases on age (±5 yrs), gender (male/female) and ethnicities (Caucasian/Hispanic/African-American/Asian).
Project description:Friedreich’s ataxia (FRDA; OMIM 229300), an autosomal recessive neurodegenerative mitochondrial disease, is the most prevalent hereditary ataxia. In addition, FRDA patients showed additional non-neurological features such as scoliosis, diabetes and cardiac complications. Hypertrophic cardiomyopathy, which is found in two thirds of patients at the time of diagnosis, is the primary cause of death in these patients. In this data set, using small RNA-sequencing of small RNA purified from plasma samples of FRDA patients and controls we identified differential expression of miRNAs (hsa-miR-128-3p, hsa-miR-625-3p, hsa-miR-130b-5p, hsa-miR-151a-5p, hsa-miR-330-3p, hsa-miR-323a-3p, and hsa-miR-142-3p) between both groups. In addition, we found that miR-323a-3p can be used as a biomarker for differentiation of FRDA patients with cardiac problems. Identification of miRNA signatures could therefore provide new molecular explanation for pathological mechanisms occurring during the natural history of the FRDA. Since miRNA levels change with disease progression and pharmacological interventions, miRNAs will contribute to design new therapeutic strategies and improve clinical decisions. Plama miRNA profiles of 25 Friedreich's ataxia patients and 17 healthy subjects were generated by deep sequencing using Illumina HiScan SQ.