Genomics

Dataset Information

0

Expression Profile of Serum-related Exosomal miRNAs from Parathyroid Tumor


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE161339 | GEO | 2020/11/13

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-02-12 | GSE198274 | GEO
2021-06-05 | GSE176134 | GEO
2022-03-14 | GSE198354 | GEO
2024-12-04 | GSE271706 | GEO
2018-06-30 | GSE101811 | GEO
2021-03-10 | GSE164635 | GEO
2021-02-16 | GSE166762 | GEO
2015-12-20 | GSE59418 | GEO
2015-12-20 | E-GEOD-59418 | biostudies-arrayexpress
2019-03-06 | GSE127849 | GEO