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MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma
First line drug treatment of follicular lymphoma (FL) patients is followed by a highly variable disease-free time before relapse in about one third of patients. No molecular marker is able to predict efficiently the risk of relapse. We investigated the expression profile of microRNAs (miRNAs) by mic...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929439/ https://www.ncbi.nlm.nih.gov/pubmed/29731996 http://dx.doi.org/10.18632/oncotarget.24987 |
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author | Malpeli, Giorgio Barbi, Stefano Greco, Corinna Zupo, Simonetta Bertolaso, Anna Scupoli, Maria Teresa Krampera, Mauro Kamga, Paul Takam Croce, Carlo Maria Scarpa, Aldo Zamò, Alberto |
author_facet | Malpeli, Giorgio Barbi, Stefano Greco, Corinna Zupo, Simonetta Bertolaso, Anna Scupoli, Maria Teresa Krampera, Mauro Kamga, Paul Takam Croce, Carlo Maria Scarpa, Aldo Zamò, Alberto |
author_sort | Malpeli, Giorgio |
collection | PubMed |
description | First line drug treatment of follicular lymphoma (FL) patients is followed by a highly variable disease-free time before relapse in about one third of patients. No molecular marker is able to predict efficiently the risk of relapse. We investigated the expression profile of microRNAs (miRNAs) by microarrays and of the tumor microenvironment by immunohistochemistry in 26 FLs and 12 reactive lymph nodes (rLN) as reference. Twenty-nine miRNAs were differentially expressed in FLs compared to rLNs and some of them discriminated grade 1 from 3a FLs. Both FLs and rLNs displayed molecular heterogeneity. FLs grouped into two clusters mostly driven by the tumor T-cell content. Among 21 drug-treated FL patients with an average follow-up of 13.5 years, eight cases relapsed. Twenty-six miRNAs discriminated between relapsed and non-relapsed FLs. Ten miRNAs also correlated with Foxp3(+) cells number. Notably, Foxp3(+) cells were significantly less in relapsed patients and lower Foxp3(+) cell number associated with shorter time-to-relapse. Foxp3(+) cells did not co-expressed follicular helper T-cell markers and were therefore classified as regulatory T cells rather than follicular regulatory T-cells. These findings introduce new knowledge about the relationship between miRNA alterations and infiltrating immune cells and show that Foxp3(+) cells might be predictive of disease relapse. |
format | Online Article Text |
id | pubmed-5929439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59294392018-05-04 MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma Malpeli, Giorgio Barbi, Stefano Greco, Corinna Zupo, Simonetta Bertolaso, Anna Scupoli, Maria Teresa Krampera, Mauro Kamga, Paul Takam Croce, Carlo Maria Scarpa, Aldo Zamò, Alberto Oncotarget Research Paper First line drug treatment of follicular lymphoma (FL) patients is followed by a highly variable disease-free time before relapse in about one third of patients. No molecular marker is able to predict efficiently the risk of relapse. We investigated the expression profile of microRNAs (miRNAs) by microarrays and of the tumor microenvironment by immunohistochemistry in 26 FLs and 12 reactive lymph nodes (rLN) as reference. Twenty-nine miRNAs were differentially expressed in FLs compared to rLNs and some of them discriminated grade 1 from 3a FLs. Both FLs and rLNs displayed molecular heterogeneity. FLs grouped into two clusters mostly driven by the tumor T-cell content. Among 21 drug-treated FL patients with an average follow-up of 13.5 years, eight cases relapsed. Twenty-six miRNAs discriminated between relapsed and non-relapsed FLs. Ten miRNAs also correlated with Foxp3(+) cells number. Notably, Foxp3(+) cells were significantly less in relapsed patients and lower Foxp3(+) cell number associated with shorter time-to-relapse. Foxp3(+) cells did not co-expressed follicular helper T-cell markers and were therefore classified as regulatory T cells rather than follicular regulatory T-cells. These findings introduce new knowledge about the relationship between miRNA alterations and infiltrating immune cells and show that Foxp3(+) cells might be predictive of disease relapse. Impact Journals LLC 2018-04-13 /pmc/articles/PMC5929439/ /pubmed/29731996 http://dx.doi.org/10.18632/oncotarget.24987 Text en Copyright: © 2018 Malpeli et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Malpeli, Giorgio Barbi, Stefano Greco, Corinna Zupo, Simonetta Bertolaso, Anna Scupoli, Maria Teresa Krampera, Mauro Kamga, Paul Takam Croce, Carlo Maria Scarpa, Aldo Zamò, Alberto MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title | MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title_full | MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title_fullStr | MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title_full_unstemmed | MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title_short | MicroRNA signatures and Foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
title_sort | microrna signatures and foxp3(+) cell count correlate with relapse occurrence in follicular lymphoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929439/ https://www.ncbi.nlm.nih.gov/pubmed/29731996 http://dx.doi.org/10.18632/oncotarget.24987 |
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