Diagnostic value of a panel of plasma exosomal miRNAs as potential biomarkers for thyroid nodules
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA540503 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8992370.fastq.gz | Fastqsanger.gz | |||
| SRR8992380.fastq.gz | Fastqsanger.gz | |||
| SRR8992390.fastq.gz | Fastqsanger.gz | |||
| SRR8992371.fastq.gz | Fastqsanger.gz | |||
| SRR8992381.fastq.gz | Fastqsanger.gz |
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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 long noncoding RNAs (lncRNAs) play an important role in the diagnosis and treatment of diseases. High-throughput sequencing was performed to determine the differential expression (DE) profiles of lncRNAs and mRNAs in plasma exosomes from patients with white matter hyperintensities (WMH) and healthy controls. Next, functional enrichment analysis and network interaction prediction were performed for DE RNAs, which were verified in a validation cohort (100 WMH and 100 healthy controls) using qRT–PCR. The diagnostic potential of candidate RNAs was evaluated by receiver operating characteristic (ROC) curves. The WMH group was then divided into subgroups according to the Fazekas scale and white matter lesion site, and the correlation of DE exo-lncRNAs in the subgroup was evaluated. We selected 6 DE RNAs (exo-lnc_011776, exo-lnc_011797, exo-lnc_004326, exo-lnc_013222, exo-WNK1 and exo-RPL18), and qRT–PCR confirmed that the expression trends of the differentially expressed genes (DEGs) was consistent with the RNA sequencing results. ROC curve analysis revealed that exo-lnc_011776, exo-lnc_011797, exo-lnc_004326, exo-WNK1 and exo-RPL18 exhibited diagnostic efficacy for WMH. Furthermore, exo-lnc_011797 was positively correlated with the severity of WMH and was significantly elevated in paraventricular matter hyperintensities patients. Our study found that five exosomal RNAs that have potential diagnostic value for WMH. Moreover, exo-lnc_011797 may be a predictor of the severity and location of WMH.
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Project description:BACKGROUND: Following fine needle aspiration, 15-30% of thyroid nodules are not clearly benign or malignant. These cytologically indeterminate nodules are often referred for diagnostic surgery, though most prove benign. A novel diagnostic test measuring the expression of 167 genes has shown promise in improving pre-operative risk assessment. We evaluated this test in a prospective, multicenter study. METHODS: Over 19 months, we performed a prospective study at 49 clinical sites enrolling 3,789 patients and collecting 4,812 samples from thyroid nodules >1cm requiring evaluation. We obtained 577 cytologically indeterminate aspirates with corresponding histopathology of excised lesions on 413. Central blinded histopathologic review served as the reference (“gold”) standard. After applying inclusion criteria, gene expression classifier results were obtained for 265 indeterminate nodules used in this analysis, and performance was calculated. RESULTS: 85 of 265 indeterminate nodules were malignant. The gene expression classifier correctly identified 78 of 85 as ‘suspicious’ (92% sensitivity, [84%-97%] 95% CI). Specificity was 52%, [44%-59%]. The negative predictive value was 95%, 94%, and 85%, respectively, for aspirates with AUS/FLUS, FN/SFN, or ‘suspicious’ cytology. Analysis of 7 false negative cases revealed 6 with a paucity of thyroid follicular cells, suggesting that insufficient sampling of the nodule had occurred. CONCLUSIONS: Though individualized clinical care is recommended, these data support consideration of a conservative approach for most patients with indeterminate FNA cytology and benign gene expression classifier results.
2012-06-25 | GSE34289 | GEO
Project description:BACKGROUND: Following fine needle aspiration, 15-30% of thyroid nodules are not clearly benign or malignant. These cytologically indeterminate nodules are often referred for diagnostic surgery, though most prove benign. A novel diagnostic test measuring the expression of 167 genes has shown promise in improving pre-operative risk assessment. We evaluated this test in a prospective, multicenter study. METHODS: Over 19 months, we performed a prospective study at 49 clinical sites enrolling 3,789 patients and collecting 4,812 samples from thyroid nodules >1cm requiring evaluation. We obtained 577 cytologically indeterminate aspirates with corresponding histopathology of excised lesions on 413. Central blinded histopathologic review served as the reference (“gold”) standard. After applying inclusion criteria, gene expression classifier results were obtained for 265 indeterminate nodules used in this analysis, and performance was calculated. RESULTS: 85 of 265 indeterminate nodules were malignant. The gene expression classifier correctly identified 78 of 85 as ‘suspicious’ (92% sensitivity, [84%-97%] 95% CI). Specificity was 52%, [44%-59%]. The negative predictive value was 95%, 94%, and 85%, respectively, for aspirates with AUS/FLUS, FN/SFN, or ‘suspicious’ cytology. Analysis of 7 false negative cases revealed 6 with a paucity of thyroid follicular cells, suggesting that insufficient sampling of the nodule had occurred. CONCLUSIONS: Though individualized clinical care is recommended, these data support consideration of a conservative approach for most patients with indeterminate FNA cytology and benign gene expression classifier results. 265 cytologically indetermine samples, 47 cytologically benign and 55 cytologically malignant samples
2012-06-24 | E-GEOD-34289 | biostudies-arrayexpress
Project description:Small cell lung cancer (SCLC) has an exceptionally poor prognosis; as most of the cases are initially diagnosed as extensive disease with hematogenous metastasis. Therefore, the early diagnosis of SCLC is very important and may improve its prognosis. To investigate the feasibility of early diagnosis of SCLC, we examined exosomal microRNAs (miRNAs) present in serum obtained from patients with SCLC. Exosomes were isolated in serum from patients with SCLC and healthy individuals and were characterized using particle size and protein markers. Additionally, miRNA array was performed to define SCLC-specific exosomal miRNAs. The miRNAs identified in the miRNA array results were validated using a large cohort. Gene ontology analysis has revealed that a panel of miRNAs are linked to various oncogene pathways and nervous system development. Changes in mRNA expression when target miRNAs were introduced into BEAS2B cells strongly indicated the presence of lung diseases, including lung cancer. Additionally, miRNA panels are significantly associated with poor prognosis. In conclusion, our study identified SCLC-specific exosomal miRNAs, and the miRNAs panel may serve as a diagnostic and prognostic marker for SCLC.
2023-08-31 | GSE232904 | GEO
Project description:Small cell lung cancer (SCLC) has an exceptionally poor prognosis; as most of the cases are initially diagnosed as extensive disease with hematogenous metastasis. Therefore, the early diagnosis of SCLC is very important and may improve its prognosis. To investigate the feasibility of early diagnosis of SCLC, we examined exosomal microRNAs (miRNAs) present in serum obtained from patients with SCLC. Exosomes were isolated in serum from patients with SCLC and healthy individuals and were characterized using particle size and protein markers. Additionally, miRNA array was performed to define SCLC-specific exosomal miRNAs. The miRNAs identified in the miRNA array results were validated using a large cohort. Gene ontology analysis has revealed that a panel of miRNAs are linked to various oncogene pathways and nervous system development. Changes in mRNA expression when target miRNAs were introduced into BEAS2B cells strongly indicated the presence of lung diseases, including lung cancer. Additionally, miRNA panels are significantly associated with poor prognosis. In conclusion, our study identified SCLC-specific exosomal miRNAs, and the miRNAs panel may serve as a diagnostic and prognostic marker for SCLC.
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Project description:A serum miRNA combination could be a favourable classifier to differentiate malignant pulmonary nodules from benign pulmonary nodules.
2023-08-27 | GSE157074 | GEO
Project description:<p><strong>BACKGROUND:</strong> Novel biomarkers are urgently needed to distinguish between benign and malignant thyroid nodules and detect thyroid cancer in the early stage. The associations between serum IgG N-glycosylation and thyroid cancer risk have been revealed. We aimed to explore the potential of IgG N-glycan traits as biomarkers in the differential diagnosis of thyroid cancer.</p><p><strong>METHODS:</strong> Plasma IgG N-glycome analysis was applied to a discovery cohort followed by independent validation. IgG N-glycan profiles were obtained using a robust quantitative strategy based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. IgG N-glycans were relatively quantified, and classification performance was evaluated based on directly detected and derived glycan traits.</p><p><strong>RESULTS: </strong>Four directly detected glycans were significantly changed in thyroid cancer patients compared to that in non-cancer controls. Derived glycan traits and a classification glycol-panel were generated based on the directly detected glycan traits. In the discovery cohort, derived trait BN (bisecting type neutral N-glycans) and the glyco-panel showed potential in distinguishing between thyroid cancer and non-cancer controls with AUCs of 0.920 and 0.917, respectively. The diagnostic potential was further validated. Derived trait BN and the glycol-panel displayed “accurate” performance (AUC>0.8) in discriminating thyroid cancer from benign thyroid nodules and healthy controls in the validation cohort. Meanwhile, derived trait BN and the glycol-panel also showed diagnostic potential in detecting early-stage thyroid cancer.</p><p><strong>CONCLUSIONS:</strong> IgG N-glycome analysis revealed N-glycomic differences that allow classification of thyroid cancer from non-cancer controls. Our results suggested that derived trait BN and the classification glyco-panel rather than single N-glycans may serve as candidate biomarkers for further validation.</p>
2021-09-01 | MTBLS2935 | MetaboLights