Next Article in Journal
An Expanded Landscape of Unusually Short RNAs in 11 Samples from Six Eukaryotic Organisms
Previous Article in Journal
Comprehensive Transcriptional Profiling and Mouse Phenotyping Reveals Dispensable Role for Adipose Tissue Selective Long Noncoding RNA Gm15551
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis

by
Andrés Rincón-Riveros
1,
Josefa Antonia Rodríguez
2,
Victoria E. Villegas
3,* and
Liliana López-Kleine
4,*
1
Bioinformatics and Systems Biology Group, Universidad Nacional de Colombia, Bogotá 111221, Colombia
2
Cancer Biology Research Group, Instituto Nacional de Cancerología, Bogotá 111221, Colombia
3
Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá 111221, Colombia
4
Department of Statistics, Faculty of Science, Universidad Nacional de Colombia, Bogotá 111221, Colombia
*
Authors to whom correspondence should be addressed.
Non-Coding RNA 2022, 8(3), 33; https://doi.org/10.3390/ncrna8030033
Submission received: 21 February 2022 / Revised: 20 April 2022 / Accepted: 22 April 2022 / Published: 12 May 2022
(This article belongs to the Topic Intelligent Computing Unlocks the Molecular Code of Complex Diseases)
(This article belongs to the Section Small Non-Coding RNA)

Abstract

Exosomes carry molecules of great biological and clinical interest, such as miRNAs. The contents of exosomes vary between healthy controls and cancer patients. Therefore, miRNAs and other molecules transported in exosomes are considered a potential source of diagnostic and prognostic biomarkers in cancer. Many miRNAs have been detected in recent years. Consequently, a substantial amount of miRNA-related data comparing patients and healthy individuals is available, which contributes to a better understanding of the initiation, development, malignancy, and metastasis of cancer using non-invasive sampling procedures. However, a re-analysis of available ncRNA data is rare. This study used available data about miRNAs in exosomes comparing healthy individuals and cancer patients to identify possible global changes related to the presence of cancer. A robust transcriptomic analysis identified two common miRNAs (miR-495-3p and miR-543) deregulated in five cancer datasets. They had already been implicated in different cancers but not reported in exosomes circulating in blood. The study also examined their target genes and the implications of these genes for functional processes.
Keywords: miRNA; extracellular vesicles; cancer miRNA; extracellular vesicles; cancer

Share and Cite

MDPI and ACS Style

Rincón-Riveros, A.; Rodríguez, J.A.; Villegas, V.E.; López-Kleine, L. Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis. Non-Coding RNA 2022, 8, 33. https://doi.org/10.3390/ncrna8030033

AMA Style

Rincón-Riveros A, Rodríguez JA, Villegas VE, López-Kleine L. Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis. Non-Coding RNA. 2022; 8(3):33. https://doi.org/10.3390/ncrna8030033

Chicago/Turabian Style

Rincón-Riveros, Andrés, Josefa Antonia Rodríguez, Victoria E. Villegas, and Liliana López-Kleine. 2022. "Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis" Non-Coding RNA 8, no. 3: 33. https://doi.org/10.3390/ncrna8030033

APA Style

Rincón-Riveros, A., Rodríguez, J. A., Villegas, V. E., & López-Kleine, L. (2022). Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis. Non-Coding RNA, 8(3), 33. https://doi.org/10.3390/ncrna8030033

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop