MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer

Background: MicroRNAs (miRNAs) are involved in numerous biological and pathological processes including colorectal cancer (CRC). The aim of our study was to evaluate the ability of miRNA expression patterns to predict chemotherapy response in a cohort of 78 patients with metastatic CRC (mCRC). Metho...

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Autores: Molina Pinelo, Sonia, Carnero, Amancio, Rivera, Fernando, Estevez-Garcia, Purificacion, Bozada, Juan Manuel, Limón, María Luisa, Paz-Ares Rodriguez, Luis, Portilla de Juan, Fernando de la, García Carbonero, Rocío
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:dnet:idus________::a0afb9fcafba19b32046b6f0f6782cf3
Acceso en línea:https://hdl.handle.net/11441/187149
https://doi.org/10.1186/1471-2407-14-656
Access Level:acceso abierto
Palabra clave:MicroRNAs
Advanced colorectal cancer
Chemotherapy response
Prediction
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spelling MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancerMolina Pinelo, SoniaCarnero, AmancioRivera, FernandoEstevez-Garcia, PurificacionBozada, Juan ManuelLimón, María LuisaPaz-Ares Rodriguez, LuisPortilla de Juan, Fernando de laGarcía Carbonero, RocíoMicroRNAsAdvanced colorectal cancerChemotherapy responsePredictionBackground: MicroRNAs (miRNAs) are involved in numerous biological and pathological processes including colorectal cancer (CRC). The aim of our study was to evaluate the ability of miRNA expression patterns to predict chemotherapy response in a cohort of 78 patients with metastatic CRC (mCRC). Methods: We examined expression levels of 667 miRNAs in the training cohort and evaluated their potential association with relevant clinical endpoints. We identified a miRNA profile that was analysed by RT-qPCR in an independent cohort. For a set of selected miRNAs, bioinformatic target predictions and pathway analysis were also performed. Results: Eight miRNAs (let-7 g*, miR-107, miR-299-5p, miR-337-5p, miR-370, miR-505*, miR-889 and miR-99a-3p) were significant predictors of response to chemotherapy in the training cohort. In addition, overexpression of miR-107, miR-337-5p and miR-99a-3p, and underexpression of miR-889, were also significantly associated with improved progression-free and/or overall survival. MicroRNA-107 and miR-99a-3p were further validated in an independent cohort as predictive markers for chemotherapy response. In addition, an inverse correlation was confirmed in our study population between miR-107 levels and mRNA expression of several potential target genes (CCND1, DICER1, DROSHA and NFKB1). Conclusions: MiR-107 and miR-99a-3p were validated as predictors of response to standard fluoropyrimidine-based chemotherapy in patients with mCRC.BioMed CentralCirugíaFondo de Investigación SanitariaJunta de AndalucíaServicio Andaluz de SaludRTICCFundación Científica de la Asociación Española Contra el CáncerGobierno de EspañaInstituto de Salud Carlos III2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/187149https://doi.org/10.1186/1471-2407-14-656reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBMC Cancer, 14, 656. PI10/02164PI-0259/2007R12/0036/0028CD1100153CD0900148PI12/00137RD12/0036/0028CTS-6844PI-0135-2010PI-0306-2012RD09/0076/00085https://link.springer.com/article/10.1186/1471-2407-14-656info:eu-repo/semantics/openAccessoai:dnet:idus________::a0afb9fcafba19b32046b6f0f6782cf32026-06-17T12:51:07Z
dc.title.none.fl_str_mv MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
title MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
spellingShingle MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
Molina Pinelo, Sonia
MicroRNAs
Advanced colorectal cancer
Chemotherapy response
Prediction
title_short MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
title_full MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
title_fullStr MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
title_full_unstemmed MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
title_sort MiR-107 and miR-99a-3p predict chemotherapy response in patients with advanced colorectal cancer
dc.creator.none.fl_str_mv Molina Pinelo, Sonia
Carnero, Amancio
Rivera, Fernando
Estevez-Garcia, Purificacion
Bozada, Juan Manuel
Limón, María Luisa
Paz-Ares Rodriguez, Luis
Portilla de Juan, Fernando de la
García Carbonero, Rocío
author Molina Pinelo, Sonia
author_facet Molina Pinelo, Sonia
Carnero, Amancio
Rivera, Fernando
Estevez-Garcia, Purificacion
Bozada, Juan Manuel
Limón, María Luisa
Paz-Ares Rodriguez, Luis
Portilla de Juan, Fernando de la
García Carbonero, Rocío
author_role author
author2 Carnero, Amancio
Rivera, Fernando
Estevez-Garcia, Purificacion
Bozada, Juan Manuel
Limón, María Luisa
Paz-Ares Rodriguez, Luis
Portilla de Juan, Fernando de la
García Carbonero, Rocío
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Cirugía
Fondo de Investigación Sanitaria
Junta de Andalucía
Servicio Andaluz de Salud
RTICC
Fundación Científica de la Asociación Española Contra el Cáncer
Gobierno de España
Instituto de Salud Carlos III
dc.subject.none.fl_str_mv MicroRNAs
Advanced colorectal cancer
Chemotherapy response
Prediction
topic MicroRNAs
Advanced colorectal cancer
Chemotherapy response
Prediction
description Background: MicroRNAs (miRNAs) are involved in numerous biological and pathological processes including colorectal cancer (CRC). The aim of our study was to evaluate the ability of miRNA expression patterns to predict chemotherapy response in a cohort of 78 patients with metastatic CRC (mCRC). Methods: We examined expression levels of 667 miRNAs in the training cohort and evaluated their potential association with relevant clinical endpoints. We identified a miRNA profile that was analysed by RT-qPCR in an independent cohort. For a set of selected miRNAs, bioinformatic target predictions and pathway analysis were also performed. Results: Eight miRNAs (let-7 g*, miR-107, miR-299-5p, miR-337-5p, miR-370, miR-505*, miR-889 and miR-99a-3p) were significant predictors of response to chemotherapy in the training cohort. In addition, overexpression of miR-107, miR-337-5p and miR-99a-3p, and underexpression of miR-889, were also significantly associated with improved progression-free and/or overall survival. MicroRNA-107 and miR-99a-3p were further validated in an independent cohort as predictive markers for chemotherapy response. In addition, an inverse correlation was confirmed in our study population between miR-107 levels and mRNA expression of several potential target genes (CCND1, DICER1, DROSHA and NFKB1). Conclusions: MiR-107 and miR-99a-3p were validated as predictors of response to standard fluoropyrimidine-based chemotherapy in patients with mCRC.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/187149
https://doi.org/10.1186/1471-2407-14-656
url https://hdl.handle.net/11441/187149
https://doi.org/10.1186/1471-2407-14-656
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv BMC Cancer, 14, 656.
PI10/02164
PI-0259/2007
R12/0036/0028
CD1100153
CD0900148
PI12/00137
RD12/0036/0028
CTS-6844
PI-0135-2010
PI-0306-2012
RD09/0076/00085
https://link.springer.com/article/10.1186/1471-2407-14-656
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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