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Plasma extracellular vesicle‑packaged microRNAs as candidate diagnostic biomarkers for early‑stage breast cancer.

ABSTRACT: Extracellular vesicle‑packaged microRNAs (miRNAs) are a class of circulating miRNAs located in the plasma that are packaged into extracellular vesicles. The present study examined the expression profiles of extracellular vesicles and tissue miRNAs with the aim of investigating the miRNA signatures in early‑stage breast cancer. The present study identified and compared the extracellular vesicle‑packaged miRNA expression signature and tissue miRNA expression signature from healthy individuals (n=10) and patients with early‑stage breast cancer (n=12). A total of five miRNAs, including miRNA‑375, miRNA‑24‑2‑5p, miRNA‑548b‑5p, miRNA‑655‑3P and miRNA‑376b‑5p, were synchronized in extracellular vesicles and tissues of the breast cancer group when compared with the healthy group. The highest area under the curve (AUC) for a single miRNA was achieved with miRNA‑548b‑5p [AUC=0.785; 95% confidence interval (CI)=0.585‑0.984; P=0.022]. The highest overall AUC was achieved by the combination of miRNA‑375, miRNA‑655‑3p, miRNA‑548b‑5p and miRNA‑24‑2‑5p (AUC=0.808; 95% CI=0.629‑0.986; P=0.013). The Kaplan‑Meier curves and log test analysis results of these five miRNAs, especially those for miRNA‑548b‑5p, were partly consistent with the hypothesis. Two miRNAs (miRNA‑548b‑5p and miRNA‑376b‑5p) were positively associated with patient survival, while two miRNAs (miRNA‑375 and miRNA‑24‑2‑5p) were negatively associated with patient survival. The present study provided a set of plasma extracellular vesicle‑packaged miRNA‑based biomarkers for the diagnosis of early‑stage breast cancer.

SUBMITTER: Yan C

PROVIDER: S-EPMC6797958 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe identification of indeterminate pulmonary nodules (IPNs) following a low-dose computed tomography (LDCT) is a major challenge for early diagnosis of lung cancer. The inadequate assessment of IPNs' malignancy risk results in a large number of unnecessary surgeries or an increased risk of cancer metastases. However, limited studies on non-invasive diagnosis of IPNs have been reported.MethodsIn this study, we identified and evaluated the diagnostic value of circulating small extracellular vesicle (sEV) microRNAs (miRNAs) in patients with IPNs that had been newly detected using LDCT scanning and were scheduled for surgery. Out of 459 recruited patients, 109 eligible patients with IPNs were enrolled in the training cohort (n = 47) and the test cohort (n = 62). An external cohort (n = 99) was used for validation. MiRNAs were extracted from plasma sEVs, and assessed using Small RNA sequencing. 490 lung adenocarcinoma samples and follow-up data were used to investigate the role of miRNAs in overall survival.ResultsA circulating sEV miRNA (CirsEV-miR) model was constructed from five differentially expressed miRNAs (DEMs), showing 0.920 AUC in the training cohort (n = 47), and further identified in the test cohort (n = 62) and in an external validation cohort (n = 99). Among five DEMs of the CirsEV-miR model, miR-101-3p and miR-150-5p were significantly associated with better overall survival (p = 0.0001 and p = 0.0069). The CirsEV-miR scores were calculated, which significantly correlated with IPNs diameters (p < 0.05), and were able to discriminate between benign and malignant PNs (diameter ≤ 1 cm). The expression patterns of sEV miRNAs in the benign, adenocarcinoma in situ/minimally invasive adenocarcinoma, and invasive adenocarcinoma subgroups were found to gradually change with the increase in aggressiveness for the first time. Among all DEMs of the three subgroups, five miRNAs (miR-30c-5p, miR-30e-5p, miR-500a-3p, miR-125a-5p, and miR-99a-5p) were also significantly associated with overall survival of lung adenocarcinoma patients.ConclusionsOur results indicate that the CirsEV-miR model could help distinguish between benign and malignant PNs, providing insights into the feasibility of circulating sEV miRNAs in diagnostic biomarker development.Trial registrationChinese Clinical Trials: ChiCTR1800019877. Registered 05 December 2018, https://www.chictr.org.cn/showproj.aspx?proj=31346 .

Project description:Pediatric epilepsy is a neurological condition that causes repeated and unprovoked seizures and is more common in 1-5-year-old children. Drug resistance has been indicated as a key challenge in improving the clinical outcomes of patients with pediatric epilepsy. In the present study, we aimed to identify plasma small extracellular vesicles (sEVs) derived microRNAs (miRNAs) from the plasma samples of children for predicting the prognosis in patients with epilepsy and drug-resistant epilepsy. A total of 90 children clinically diagnosed with epilepsy [46 antiepileptic drug (AED)-responsive epilepsy and 44 drug-resistant epilepsy] and 37 healthy controls (HCs) were enrolled in this study. RNA sequencing was performed to identify plasma sEVs derived miRNAs isolated from the children's plasma samples. Differentially expressed plasma sEVs derived miRNAs were identified using bioinformatics tools and were further validated by reverse transcription-polymerase chain reaction and receiver operator characteristic (ROC) curve analysis. In the present study, 6 miRNAs (hsa-miR-125b-5p, hsa-miR-150-3p, hsa-miR-199a-3p, hsa-miR-584-5p hsa-miR-199a-5p, and hsa-miR-342-5p) were selected for further validation. hsa-miR-584-5p, hsa-miR-342-5p, and hsa-miR-150-5p with area under curve (AUC) values of 0.846, 0.835, and 0.826, respectively, were identified as promising biomarkers of epilepsy. A logistic model combining three miRNAs (hsa-miR-584-5p, hsa-miR-342-5p, and hsa-miR-199a-3p) could achieve an AUC of 0.883 and a six miRNAs model (hsa-miR-342-5p, hsa-miR-584-5p, hsa-miR-150-5p, hsa-miR-125b-5p, hsa-miR-199a-3p, and hsa-miR-199a-5p) could attain an AUC of 0.888. The predicted probability of multiple miRNA panels was evaluated for differentiating between drug-resistant children and drug-responsive children. The AUC of a six-miRNA panel (hsa-miR-342-5p, hsa-miR-584-5p, hsa-miR-150-5p, hsa-miR-125b-5p, hsa-miR-199a-3p, and hsa-miR-199a-5p) reached 0.823. We identified and confirmed plasma sEVs derived miRNA biomarkers that could be considered as potential therapeutic targets for pediatric epilepsy and drug-resistant epilepsy.

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Plasma extracellular vesicle‑packaged microRNAs as candidate diagnostic biomarkers for early‑stage breast cancer.

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