Cross validated serum exosomal microRNAs for the detection of oropharyngeal squamous cell carcinoma
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PROVIDER: PRJNA564555 | ENA |
REPOSITORIES: ENA
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Project description:Exosomes were purified from 250 ul serum using ExoQuickTm. The presence of particles consistent in size with exosomes (60-150nm) was confirmed using a Nanosight LM10. miRNA was extracted from exosomes using an miRNeasy Serum/Plasma kit (Qiagen, #217184). miRNA was reversed transcribed using a TaqMan® microRNA Reverse Transcription Kit (Life technologies, #4366596). miRNA profiling was performed with a custom high throughput TaqMan® OpenArray® Human microRNA panel (Life technologies). The panel consisted of probes for 110 human miRNAs that are based on miRNA sequences derived from Sanger miRBase v20. The poor prognosis and rising incidence of HPV-positive oropharyngeal squamous cell carcinoma (OPSCC) highlight the need for improved methods for detection of this cancer. Molecular biomarkers offer potential for this. The potential for circulating miRNAs as biomarkers in some other cancers has been shown, but circulating miRNAs have not been well validated in OPSCC. This study therefore used stabilised nested cross validation to investigate whether circulating miRNAs could be used to differentiate OPSCCs from healthy controls and patients with gastro-oesophageal reflux disease.
2020-07-15 | GSE137109 | GEO
Project description:BackgroundOropharyngeal squamous cell carcinoma (OPSCC) is often diagnosed at an advanced stage because the disease often causes minimal symptoms other than metastasis to neck lymph nodes. Better tools are required to assist with the early detection of OPSCC. MicroRNAs (miRNAs, miRs) are potential biomarkers for early head and neck squamous cell cancer diagnosis, prognosis, recurrence, and presence of metastatic disease. However, there is no widespread agreement on a panel of miRNAs with clinically meaningful utility for head and neck squamous cell cancers. This could be due to variations in the collection, storage, pre-processing, and isolation of RNA, but several reports have indicated that the selection and reproducibility of biomarkers has been widely affected by the methods used for data analysis. The primary analysis issues appear to be model overfitting and the incorrect application of statistical techniques. The purpose of this study was to develop a robust statistical approach to identify a miRNA signature that can distinguish controls and patients with inflammatory disease from patients with human papilloma virus positive (HPV +) OPSCC.MethodsSmall extracellular vesicles were harvested from the serum of 20 control patients, 20 patients with gastroesophageal reflux disease (GORD), and 40 patients with locally advanced HPV + OPSCC. MicroRNAs were purified, and expression profiled on OpenArray™. A novel cross validation method, using lasso regression, was developed to stabilise selection of miRNAs for inclusion in a prediction model. The method, named StaVarSel (for Stable Variable Selection), was used to derive a diagnostic biomarker signature.ResultsA standard cross validation approach was unable to produce a biomarker signature with good cross validated predictive capacity. In contrast, StaVarSel produced a regression model containing 11 miRNA ratios with potential clinical utility. Sample permutations indicated that the estimated cross validated prediction accuracy of the 11-miR-ratio model was not due to chance alone.ConclusionsWe developed a novel method, StaVarSel, that was able to identify a panel of miRNAs, present in small extracellular vesicles derived from blood serum, that robustly cross validated as a biomarker for the detection of HPV + OPSCC. This approach could be used to derive diagnostic biomarkers of other head and neck cancers.
| S-EPMC7350687 | biostudies-literature
Project description:Primary outcome(s): Prediction of malignant phenotype of colorectal cancer by serum and exosomal CEA family and detection of circulating tumor cells.
| 2629030 | ecrin-mdr-crc
Project description:Bovine mastitis causes changes in the serum exosomal miRNAs expression. Serum samples from healthy dairy cows (n = 7) were compared to those of cows with subclinical (n = 7 ) using small RAN sequencing. Three hundred fifty-five miRNAs (341 known and 14 novel ones) were identified. There were 42 miRNAs up-regulated in serum-derived EVs from cows with subclinical mastitis, including bta-miR-1246, bta-miR-2431-3p, bta-miR-126-3p, bta-miR-29a, etc. The MAPK signaling pathway was the most affected pathway by clinical mastitis. Thus, miRNA alterations in mastitis serum-derived EVs support the potential regulator role of specific miRNAs as exosomal cargo in clinical mastitis physiology.
2022-08-31 | GSE202849 | GEO
Project description:Adipocyte-Derived Exosomal microRNAs in subject serum samples
| PRJNA516594 | ENA
Project description:Severe xerostomia is noted in the majority of patients irradiated for oropharyngeal cancer (OPC). Extracellular microRNAs (miRNAs) may serve as effective tools allowing prediction of radiation-related toxicity. The aim of this study was to create an efficient prognostic miRNA-based test for severe, patient-rated xerostomia 3 months after primary treatment. This prospective study enrolled OPC patients treated between 2016 and 2018 in three centers in Poland. The primary endpoint was severe (grade ≥3) xerostomia as assessed by the EORTC H&N-35 questionnaires. Initially, a group of 10 patients with severe xerostomia was randomly selected and matched with a comparative group of 10 patients without severe xerostomia. Samples were collected before RT, after receiving 20 Gy and within 24 hours after treatment completion. qPCR arrays (QIAGEN, Hilden, Germany) were used to quantify expression levels of 752 miRNAs in the serum at all timepoints. The resulting logistic-regression based model was validated in additional 60 patients: 30 with grade >3 xerostomia and 30 without. Of 152 eligible patients, we successfully recruited 111 patients. Severe xerostomia 3 months after treatment was reported by 63 patients (56.8%). Mean dose delivered to parotid glands was higher in both exploratory and validation cohort. The model based on miR-185-5p and miR-425-5p expression levels measured before the start of radiotherapy had AUC 0.96 (95% CI: 0.88-1.00). The model based on the same miRNAs remained robust when parameters were measured after 20 Gy (AUC 0.90 (95% CI: 0.75-1.00)). These results were confirmed in the validation group. In the validation group pre-radiotherapy model application yielded 73.3% sensitivity and 80.0% specificity. In the samples taken after 20 Gy, the same two miRNAs yielded 67.7% sensitivity and 72.4% specificity. The model including pretreatment miR-185-5p and miR-425-5p levels together with mean parotid dose, yielded 90.0% sensitivity and 80.0% specificity. In the validation cohort, this model yielded 80.6 % sensitivity and 55.2 % specificity. The model based on miRNA levels measured after 20 Gy and mean parotid dose had 80.0 % sensitivity and 100% specificity in the exploratory group. In the validation cohort its performance fell to 71.0 % sensitivity and 58.6 % specificity. Serum expression levels of miR-425-5p and miR-185-5p measured before the start of radiotherapy or during therapy (after 20 Gy) had a significant prognostic value for the occurrence of severe xerostomia 3 months after treatment completion. The variability explained by miRNAs appears to be, at least partially, independent from the one related to the dosimetric data.
2021-08-16 | GSE182178 | GEO
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.
2020-02-21 | GSE130654 | GEO
Project description:Exosomal miRNAs from serum sequencing
| PRJNA1100526 | ENA
Project description:Serum microRNAs as xerostomia biomarkers in oropharyngeal cancer patients undergoing radiotherapy
| PRJNA755266 | ENA
Project description:Objective: The expression pattern of exosomal miRNAs derived from parathyroid tumor is still unknown. In the present work, we aimed to examine the differences on microRNA (miRNA) expression, present in serum exosomes, by comparing parathyroid carcinoma (PC) and parathyroid adenoma (PA). Methods: MiRNA expression profile of serum exosomes, derived from 4 PC patients and 4 PA patients, were analyzed by next-generation sequencing technology. The differential expressions of target miRNAs were further verified in both serum exosomes and tissues of PC/PA patients by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Lastly, receiver operating characteristic (ROC) curves were plotted to investigate the efficiency of target exosomal miRNAs in distinguishing PC patients from PA controls. Results: Multiple differentially expressed miRNAs of serum exosomes were screened out by sequencing. Based on this screening, hsa-miR-146b-5p (p=0.0846), hsa-miR-27a-5p (p=0.0412), hsa-miR-93-5p (p=0.73), hsa-miR-381-3p (p=0.1239) and hsa-miR-134-5p (p=0.0694) were up-regulated in the serum exosomes of PC patients. These results were validated by qPCR, where the trend on differential miRNA expression was consistent with the sequencing results. Specifically, the expression of exosomal hsa-miR-27a-5p was able to clearly distinguish PC patients from PA controls, and related analysis indicated that the area under the ROC curve was 0.8594 (p=0.0157). Conclusion: Here we present, for the first time, the miRNA expression profile of serum exosomes derived from PC patients. Based on this result, we presently suggest that the exosomal hsa-miR-27a-5p may serve as a putative tumor marker for preoperative identification of PC and PA subjects.
2020-11-13 | GSE161339 | GEO