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Differential distribution and enrichment of non-coding RNAs in exosomes from normal and Cancer-associated fibroblasts in colorectal cancer

Exosome production from cancer-associated fibroblasts seems to be an important driver of tumor progression. We report the first in-depth biotype characterization of ncRNAs, analyzed by Next Generation Sequencing and Bioinformatics, expressed in established primary human normal and cancer-associated...

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Detalles Bibliográficos
Autores principales: Herrera, Mercedes, Llorens, Carlos, Rodríguez, Marta, Herrera, Alberto, Ramos, Ricardo, Gil, Beatriz, Candia, Antonio, Larriba, María Jesús, Garre, Pilar, Earl, Julie, Rodríguez-Garrote, Mercedes, Caldés, Trinidad, Bonilla, Félix, Carrato, Alfredo, García-Barberán, Vanesa, Peña, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091058/
https://www.ncbi.nlm.nih.gov/pubmed/30075793
http://dx.doi.org/10.1186/s12943-018-0863-4
Descripción
Sumario:Exosome production from cancer-associated fibroblasts seems to be an important driver of tumor progression. We report the first in-depth biotype characterization of ncRNAs, analyzed by Next Generation Sequencing and Bioinformatics, expressed in established primary human normal and cancer-associated fibroblasts (CAFs) from cancer and normal mucosa tissues from 9 colorectal cancer patients, and/or packaged in their derived exosomes. Differential representation and enrichment analyses based on these ncRNAs revealed a significant number of differences between the ncRNA content of exosomes and the expression patterns of the normal and cancer-associated fibroblast cells. ncRNA regulatory elements are specifically packaged in CAF-derived exosomes, supporting a specific cross-talk between CAFs and colon cancer cells and/or other stromal cells, mediated by exosomes. These sncRNAs are potential biomarkers present in cancer-associated fibroblast-derived exosomes, which should thereby contribute to developing new non-invasive diagnostic, prognostic and predictive methods for clinical applications in management of cancer patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12943-018-0863-4) contains supplementary material, which is available to authorized users.