Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exosomal miR-1290 and miR-375 as prognostic markers in castrate resistant prostate cancer

ABSTRACT: Extracellular microRNAs (miRNAs) embedded in circulating exosomes may serves as prognostic biomarkers in cancer. This study was performed to identify and evaluate plasma exosomal miRNAs for prognostication in castration resistant prostate cancer (CRPC). RNA sequencing was performed to identify candidate exosomal miRNAs associated with overall survival in a screening cohort of 23 CRPC patients. Candidate miRNAs were further evaluated for prognosis using qRT-PCR in a follow-up cohort of 100 patients. Cox regression and Kaplan–Meier survival curve analysis were used to evaluate prognostic value of miRNA candidates with and without incorporation of clinical prognostic factors (age, Gleason score and time from androgen deprivation therapy to clinical progression). In the screening cohort, we obtained ~6.80 million mappable RNA reads per patient. Of those with normalized read counts ? 5, 43% were mapped to miRNAs for a total of 375 known and 57 novel miRNAs. Cox regression analysis identified an association of miR-1290, -1246, and -375 with overall survival (FDR<0.1). Of those, higher levels of miR-1290 and -375 were verified to be significantly associated with poor overall survival (p<0.004) in the follow-up cohort. The miR-1290/-375-based prediction model showed better performance with time-dependent area under the curve (AUC) =72% compared to clinical variable-based model with AUC=65%. Plasma exosomal miR-1290 and miR-375 are promising prognostic biomarkers for CRPC patients. Prospective validation is needed for further development of these candidate miRNAs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE58410 | GEO | 2014/12/30

SECONDARY ACCESSION(S): PRJNA252516

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Homo sapiens

Project description:Exosomal miR-1290 and miR-375 as prognostic markers in castrate resistant prostate cancer

| PRJNA252516 | ENA

RNA sequencing quantitative analysis of exosome miRNAs in plasma in Metastatic renal cell carcinoma (mRCC)

Project description:Purpose: Since clinical characteristics are often inaccurate and subjective, we evaluated the prognostic value of plasma exosomal miRNAs to predict survival in metastatic renal cell cancer (mRCC). Methods: RNA sequencing was performed to identify candidate exosomal miRNAs associated with overall survival in a screening cohort of 41 mRCC patients.Candidate miRNAs were further evaluated for prognosis by TaqMan quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) in a follow-up cohort of 65 mRCC patients. Results: RNA sequencing in screening cohort generated 3.75 million mappable reads per patient, of those with normalized read counts>8 RPM (reads per million), 93.8% were mapped to miRNAs for a total of 322 unique miRNAs. Cox regression analysis identified 20 miRNAs that were associated with overall survival (OS, FDR< 0.05). Among these 20 significant miRNAs, three were validated in a separate independent cohort of 65 patients with mRCC.Patients with lower expression of miR-26a1-3p, miR-let-7i-5p and miR-615-3p had a significantly poorer OS than those with higher expression. Multivariate model by combining miR-let-7i-5p and the Memorial Sloan-Kettering Cancer Center (MSKCC) score significantly improved survival prediction. Conclusions: Our study identifies multiple plasma exosomal miRNAs showing association with survival in mRCC stage patients. Multivariate model by combining miR-let-7i-5p and the Memorial Sloan-Kettering Cancer Center (MSKCC) score significantly improved survival prediction.

2017-10-31 | GSE93175 | GEO

microRNA expression profile in endometrioid endometrial carcinoma (EEC)

Project description:The aim of the presented study was to define tissue and plasma miRNA signatures, which could potentially serve as diagnostic and prognostic markers in endometrioid endometrial cancer (EEC), and to investigate miRNA profiles in regard to clinicopathological characteristics of the tumors. Results: qPCR validation revealed regulation of 14 miRNAs in EEC tissues (miR-9, miR-141,miR-205,miR-203,miR-183,miR-200a*,miR-200b*,miR-200a,miR-200c,miR-429,miR-200b,miR-410,miR-92a,miR-1305) and 9 in plasma samples (miR-449a,miR-1290,miR-1228,miR-203,miR-200a,miR-141,miR-92a, miR-9, miR-301b). Expression of certain miRNAs showed association with FIGO stage, grade and relapse. Two miRNA signatures, miR-205/miR-410 and miR-410/miR-429/miR-92a, classified tumor tissues with higher accuracy in comparison to single miRNAs (AUC 0.972, 95% CI 0.919-0.995 and 0.991, 95% CI 0.948-1.000, resepctively). miRNA signature composed of miR-205 and miR-200a predicted relapse with AUC of 0.854 (95% CI 0.691-0.951). Tissue miRNA signatures were independent prognostic markers of overall (miR-1228/miR-200c/miR-429, HR 2.98) and progression-free survival (miR-1228/miR-429, HR 4.149). Plasma miRNA signatures classified EEC plasma samples with high accuracy. Conclusions: We conclude that miRNA signatures hold great promise for becoming non-invasive biomarkers for early EEC detection and prognosis. Tissue samples were collected from 122 women (77 EEC and 45 controls). Expression profiling of 866 human miRNAs and 89 human viral miRNAs was performed in 24 samples and was followed by qPCR validation in 104 patients. Of 24 samples analyzed by microarrays, 22 (18 EEC, 4 normal controls) were available for final analysis. Expression of 14 miRNAs was analysed in 48 plasma samples by qPCR.

2012-05-31 | E-GEOD-35794 | biostudies-arrayexpress

microRNA expression profile in endometrioid endometrial carcinoma (EEC)

2012-06-01 | GSE35794 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes in negative control and miR-1290 knockdown HCT116 cells

Project description:Colorectal cancer (CRC) ranks third in incidence and second in mortality among cancers worldwide. Emerging researches showed that microRNAs (miRNAs) play an important role in CRC progression. Here, we aimed to investigate the expression and regulatory mechanism of miR-1290 in CRC. miR-1290 is significantly overexpressed in CRC primary tissues and metastatic tissues compared to that in normal tissues, and up-regulated miR-1290 is correlated with poor overall survival (OS) of CRC patients. Functional experiments showed that miR-1290 can promote the proliferation, migration, invasion and inhibit apoptosis of CRC cells. Mechanistically, miR-1290 directly targets KLF9 and promotes the malignancy progression of CRC cells through regulating MMP9 and p53 expression, subsequently. In addition, high H3K4me3 levels in miR-1290 promoter region activate its transcription in CRC. In summary, our study demonstrated the expression and regulatory mechanism of miR-1290 in CRC which supports the notion that therapeutic targeting of miR-1290 may be a promising treatment approach for CRC patients.

2020-11-11 | GSE161186 | GEO

Identification of miRNAs associated with chemotherapiutic response in lung adenocarcinomas

Project description:Expression profiling of chemo-responders and non-responders reveals miRNAs expression differences, we therefore demonstrated that miRNAs could be a therapeutic biomarker of chemotherapy to lung adenocarcinoma (LADC). we have employed miRNAs microarray expression profile as a discovery platform to identify miRNAs differentially expressed between responders and non-responders to platinum-based doublet chemotherapy. In total 40 cases of our study cohort, including 16 responders and 24 non-responders, we found that a 3-miRNAs signature (miR-1290, miR-196b, and miR-135a*) could predict the responder with the highest accuracy in study cohort (82.5%). This finding further validated in an independent additional cohort.

2015-03-22 | GSE56264 | GEO

The identification of plasma exosomal miR-423-3p as a potential predictive biomarker for prostate cancer castration-resistance development by plasma exosomal miRNA sequencing

Project description:Exosomal miRNAs play important roles in cancer progression and therapeutic resistance and have shown great potential as liquid biopsy biomarkers for cancer diagnosis/prognosis. We investigated for the first time plasma exosomal miRNAs for their association with and early detection potential of castration-resistant prostate cancer (CRPC). RNA-sequencing was performed to identify candidate exosomal miRNAs associated with development of CRPC in 24 treatment-naive prostate cancer (PCa) and 24 CRPC patients.

2021-01-07 | GSE136321 | GEO

Differential expression profiles of plasma exosomal microRNAs identify potential biomarkers for rheumatoid arthritis

Project description:Aims: Differential expression profiles of microRNAs (miRNAs) are associated with autoimmune diseases. This study sought to elucidate the plasma exosomal miRNA expression profiles of patients with rheumatoid arthritis (RA) and their potential clinical significance. Methods: In the screening phase, small RNA sequencing was performed to characterize dysregulated exosome-derived miRNAs in the plasma samples from six RA patients and six healthy controls. In the independent validation phase, the candidate plasma exosomal miRNAs were verified in 40 RA patients and 32 healthy controls using quantitative real-time PCR. The association of miRNA levels with clinical characteristics in RA patients was tested. The value of these miRNAs in diagnosing RA was assessed with the receiver operating characteristic curve. Results: Totally 177 and 129 miRNAs were upregulated and downregulated, respectively in RA patients versus healthy controls in the screening phase. There were 10 candidate plasma exosomal miRNAs selected for the next identification. Compared with the healthy controls, eight plasma exosomal miRNAs (let-7a-5p, let-7b-5p, let-7d-5p, let-7f-5p, let-7g-5p, let-7i-5p, miR-128-3p, and miR-25-3p) were significantly elevated in RA patients, but miR-144-3p and miR-15a-5p expression exhibited no significant changes. The let-7a-5p and miR-25-3p levels were associated with rheumatoid factor-positive phenotype in RA patients. For the eight miRNAs, the area under the receiver operating characteristic curve (AUC) ranged from 0.641 to 0.843, and their combination had a high diagnostic accuracy for RA (AUC = 0.916). Conclusions: Our study illustrates that novel exosomal miRNAs in the plasma may represent potential noninvasive biomarkers for RA.

2023-09-24 | GSE218599 | GEO

Combination of four serum exosomal miRNAs as novel diagnostic biomarkers for early-stage gastric cancer

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

Exosomal MicroRNAs Signature Acts as Efficient Biomarker for Non-Invasive Diagnosis of Gallbladder Carcinoma

Project description:Gallbladder carcinoma (GBC) is the most common biliary tract malignant tumor. However, few diagnostic and prognostic biomarkers are available. Although the potential role of exosomes in the diagnosis of several tumor types has been repeatedly explored, the use of exosomal microRNAs (miRNAs) as specific biomarkers for GBC has not been systematically conducted. In this study, we identified a 5-exosomal miRNAs set that can be used to evaluate the risk of GBC through a three-step study that relies on biomarker discovery, training and validation. This biomarker set including the exosomal miR-552-3p, miR-581, miR-4433a-3p, miR-496, and miR-203b-3p.

2022-09-15 | GSE176159 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data