Combination of four serum exosomal miRNAs as novel diagnostic biomarkers for early-stage gastric cancer
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ABSTRACT:
PROVIDER: PRJNA540915 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9005510.fastq.gz | Fastqsanger.gz | |||
| SRR9005520.fastq.gz | Fastqsanger.gz | |||
| SRR9005530.fastq.gz | Fastqsanger.gz | |||
| SRR9005540.fastq.gz | Fastqsanger.gz | |||
| SRR9005550.fastq.gz | Fastqsanger.gz |
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Project description:The aim of this study was to identify and evaluate exosomal miRNAs in serum as early diagnostic markers for gastric cancer (GC). Methods: Using next-generation sequencing (NGS) and bioinformatics, we identified candidate serum exosomal miRNA markers for early detection of GC in patients. The candidates were further validated by qRT-PCR in 50 newly recruited early-stage GC patients and matched healthy individuals. Results: NGS revealed that the average mappable reads in the RNA libraries were about 6.5 million per patient. A total of 66 up and 13 down-regulated exosomal miRNAs were found in the screened cohort after removal of log2 transformed read counts <5 and p >0.05. In the validation cohort, by comparing candidate exosomal miRNAs levels in early-stage GC patients and healthy individuals, higher levels of miR-92b-3p, let-7g-5p, miR-146b-5p and miR-9-5p were found to be significantly associated with GC. Diagnostic power of the combined panels of the exosomal miRNAs or the combination of exosomal miRNAs and CEA outperformed that of single exosomal miRNA marker for establishing a diagnosis of early-stage GC. In addition, serum levels of exosomal miR-92b-3p were significantly associated with low adhesion, let-7g-5p and miR-146b-5p were significantly correlated with nerve infiltration, and miR146b-5p was statistically correlated with tumor invasion depth in early-stage GC. Conclusions: Serum exosomal miR-92b-3p, -146b-5p, -9-5p, and let-7g-5p may serve as potential noninvasive biomarkers for early diagnosis of GC. Further validation of these candidate exosomal miRNAs in larger experimental cohorts are required in order to confirm the diagnostic values.
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Project description:Gastric cancer (GC) remains a leading cause of cancer-related mortality in the United States and China, there is an urgent need to discover novel non-invasive biomarkers for the early diagnosis of GC to improve the prognosis of GC patients. Exosomal miRNAs are considered promising biomarkers for cancer diagnosis. Using next-generation sequencing (NGS), bioinformatics and further validation, we identified and evaluated exosomal miRNAs in serum as early diagnostic markers for GC. NGS revealed that the average mappable reads in the RNA libraries were about 6.5 million per patient including miRNAs (73.38%), rRNAs (17.10%), snRNAs (8.83%), snoRNAs (0.65%), and tRNAs (0.04%). A total of 66 up and 13 down-regulated exosomal miRNAs were found in the screened cohort. In the validation cohort, by comparing with healthy individuals, higher levels of serum exosomal miR-92b-3p, let-7g-5p, miR-146b-5p, and miR-9-5p were found to be significantly associated with early-stage GC (p < 0.05). Diagnostic power of the combined panels of the exosomal miRNAs or the combination of exosomal miRNAs and CEA outperformed that of single exosomal miRNA marker for establishing a diagnosis of early-stage GC. The combined diagnosis of exosomal miR-92b-3p + let-7g-5p + miR-146b-5p + miR-9-5p with CEA had the most powerful efficiency with an AUC up to 0.786. In addition, serum levels of exosomal miR-92b-3p were significantly associated with poor cohesiveness (p = 0.0021), let-7g-5p and miR-146b-5p were significantly correlated with nerve infiltration (p = 0.0234 and p = 0.0126, respectively), and miR146b-5p was statistically correlated with tumor invasion depth in early-stage GC (p = 0.0089). In conclusion, serum exosomal miR-92b-3p, -146b-5p, -9-5p, and let-7g-5p may serve as potential non-invasive biomarkers for early diagnosis of GC.
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Project description:Exosomes and exosomal miRNAs from the plasma of volunteers were isolated from thyroid nodules and papillary tyriod cancer patients . Profiling of exosomal miRNA was performed using next-generation sequencing(NGS) to identify miRNA candidates for diagnosis.
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Project description:Exosomal miRNAs from serum sequencing
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Project description:Objective:This study aims to discover circulating exosomal miRNAs as potential noninvasive biomarkers early detection of fetus with ventricular septal defect (VSD). Method:A total of 182 pregnant women including 91 VSD cases and 91 matched controls were included in this study. Exosomes were isolated and next-generation sequencing was used to obtain a profile of dysregulated exosomal miRNA. The differential abundance was verified by quantitative real-time PCR (q RT-PCR). . Receiver operating characteristic (ROC) curves were conducted to evaluate the diagnostic accucary Results: 77 serum exosomal miRNA were uncovered to be differentially expressed in the VSD group as compared to the control group. Among these, five down-regulated exosomal miRNA were validated by qRT-PCR. hsa-miR-146a-5p was identified to be capable of distinguishing VSDs from controls (area under the ROC (AUC): 0.997; p < 2.2e-16). Conclusion: circulating exosomal miRNA, in particular, hsa-miR-146a-5pmay be a predictive biomarker for non-invasive prenatal diagnosis of fetal VSDs.
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Project description:Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin Lymphoma with complex clinical symptoms. Currently, the diagnosis of DLBCL depends largely on pathologic analysis of biopsy tissue, which is an invasive procedure and often poses some risk to patients. Exosomal miRNAs have emerged as promising noninvasive biomarkers for detecting tumor or monitoring disease progress. We aim to investigate the potential of circulating exosomal miRNAs to assist with diagnosis of DLBCL.In the present research, we used the miRCURY LNA™ microRNA Array to investgate the profiles of differentially expressed miRNAs in the exosomes of peripheral blood serum. As a result, circulating exosomal miRNA profiling yielded a total of 332 differentially expressed miRNAs (157 with up-expression and 175 with down-expression) between the DLBCL patients and healthy controls.
2021-12-06 | GSE171272 | GEO
Project description:Diagnostic value of a panel of plasma exosomal miRNAs as potential biomarkers for thyroid nodules
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Project description:Background: Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease (CVD), however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). This study aimed to investigate the expression pattern of exosomal circRNAs in the plasma of CCS patients, and to screen exo-circRNAs that can act as biomarkers for the diagnosis of CCS. Methods: High-throughput sequencing technology was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) (sequencing cohort) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real time polymerase chain reaction (RT-PCR) in a small-sample cohort (derivation cohort) and a large-sample cohort (validation cohort). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exo-circRNAs for CCS patients. Results: By high-throughput sequencing of circRNAs in 15 CCS patients and 15 NCCP patients, 276 circRNAs differentially expressed in plasma exosomes of CCS patients were screened by using |log2(Fold change) |>1 and q-value<0.001, and 103 were up-regulated and 173 were down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels and significantly increased in plasma exosomes of CCS patients were selected for validation. Twice RT-PCR validation demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS (P<0.001). Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve (AUC) values of 0.761 (P<0.001, 95%CI=0.669, 0.852) and 0.623 (P=0.015, 95%CI=0.522, 0.724) for CCS, respectively by ROC curve analysis. Moreover, AUC of hsa_circ_0075269 combined with hsa_circ_0000284 for diagnosing CCS was 0.741 (P<0.001, 95%CI=0.667, 0.850). Conclusion: The expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS diagnosis.
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