Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated extracellular microRNA profiling for ovarian cancer screening

ABSTRACT: A serum miRNA combination could be a powerful classifier for the detEsophageal Cancertion of patients with ovarian cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE106817 | GEO | 2018/10/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Integrated extracellular microRNA profiling for ovarian cancer screening

Project description:Integrated extracellular microRNA profiling for ovarian cancer screening

| PRJNA418128 | ENA

Large-scale serum microRNA profiling for developing an esophageal squamous cell carcinoma detection model

Project description:A serum miRNA combination could be a powerful classifier for the detection of esophageal squamous cell carcinoma.

2019-08-21 | GSE122497 | GEO

Assessment of the Diagnostic Utility of Serum MicroRNA Classification in Patients with Diffuse Glioma

Project description:A serum miRNA combination could be a powerful classifier for the detection of patients with brain tumors.

2019-10-19 | GSE139031 | GEO

High-sensitive circulating microRNA panel for early detection of hepatocellular carcinoma

Project description:A serum miRNA combination could be a powerful classifier for the detection of hepatocellular carcinoma. Keywords: Non-coding RNA profiling by array

2020-08-03 | GSE113740 | GEO

Integrated extracellular microRNA profiling for ovarian cancer screening.

Project description:A major obstacle to improving prognoses in ovarian cancer is the lack of effective screening methods for early detection. Circulating microRNAs (miRNAs) have been recognized as promising biomarkers that could lead to clinical applications. Here, to develop an optimal detection method, we use microarrays to obtain comprehensive miRNA profiles from 4046 serum samples, including 428 patients with ovarian tumors. A diagnostic model based on expression levels of ten miRNAs is constructed in the discovery set. Validation in an independent cohort reveals that the model is very accurate (sensitivity, 0.99; specificity, 1.00), and the diagnostic accuracy is maintained even in early-stage ovarian cancers. Furthermore, we construct two additional models, each using 9-10 serum miRNAs, aimed at discriminating ovarian cancers from the other types of solid tumors or benign ovarian tumors. Our findings provide robust evidence that the serum miRNA profile represents a promising diagnostic biomarker for ovarian cancer.

| S-EPMC6192980 | biostudies-literature

Expression profile of microRNA in human serum

Project description:Serum microRNA combinations may be a powerful classifier for detecting cancer patients

2023-04-23 | GSE230094 | GEO