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Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer
Background: Patients with locally advanced rectal cancer are treated with preoperative chemoradiotherapy followed by surgical resection. Despite similar clinical parameters (uT2-3, uN+) and standard therapy, patients’ prognoses differ widely. A possible prediction of prognosis through microRNAs as b...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4849024/ https://www.ncbi.nlm.nih.gov/pubmed/27092493 http://dx.doi.org/10.3390/ijms17040568 |
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author | Azizian, Azadeh Epping, Ingo Kramer, Frank Jo, Peter Bernhardt, Markus Kitz, Julia Salinas, Gabriela Wolff, Hendrik A. Grade, Marian Beißbarth, Tim Ghadimi, B. Michael Gaedcke, Jochen |
author_facet | Azizian, Azadeh Epping, Ingo Kramer, Frank Jo, Peter Bernhardt, Markus Kitz, Julia Salinas, Gabriela Wolff, Hendrik A. Grade, Marian Beißbarth, Tim Ghadimi, B. Michael Gaedcke, Jochen |
author_sort | Azizian, Azadeh |
collection | PubMed |
description | Background: Patients with locally advanced rectal cancer are treated with preoperative chemoradiotherapy followed by surgical resection. Despite similar clinical parameters (uT2-3, uN+) and standard therapy, patients’ prognoses differ widely. A possible prediction of prognosis through microRNAs as biomarkers out of treatment-naïve biopsies would allow individualized therapy options. Methods: Microarray analysis of 45 microdissected preoperative biopsies from patients with rectal cancer was performed to identify potential microRNAs to predict overall survival, disease-free survival, cancer-specific survival, distant-metastasis-free survival, tumor regression grade, or nodal stage. Quantitative real-time polymerase chain reaction (qPCR) was performed on an independent set of 147 rectal cancer patients to validate relevant miRNAs. Results: In the microarray screen, 14 microRNAs were significantly correlated to overall survival. Five microRNAs were included from previous work. Finally, 19 miRNAs were evaluated by qPCR. miR-515-5p, miR-573, miR-579 and miR-802 demonstrated significant correlation with overall survival and cancer-specific survival (p < 0.05). miR-573 was also significantly correlated with the tumor regression grade after preoperative chemoradiotherapy. miR-133b showed a significant correlation with distant-metastasis-free survival. miR-146b expression levels showed a significant correlation with nodal stage. Conclusion: Specific microRNAs can be used as biomarkers to predict prognosis of patients with rectal cancer and possibly stratify patients’ therapy if validated in a prospective study. |
format | Online Article Text |
id | pubmed-4849024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48490242016-05-04 Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer Azizian, Azadeh Epping, Ingo Kramer, Frank Jo, Peter Bernhardt, Markus Kitz, Julia Salinas, Gabriela Wolff, Hendrik A. Grade, Marian Beißbarth, Tim Ghadimi, B. Michael Gaedcke, Jochen Int J Mol Sci Article Background: Patients with locally advanced rectal cancer are treated with preoperative chemoradiotherapy followed by surgical resection. Despite similar clinical parameters (uT2-3, uN+) and standard therapy, patients’ prognoses differ widely. A possible prediction of prognosis through microRNAs as biomarkers out of treatment-naïve biopsies would allow individualized therapy options. Methods: Microarray analysis of 45 microdissected preoperative biopsies from patients with rectal cancer was performed to identify potential microRNAs to predict overall survival, disease-free survival, cancer-specific survival, distant-metastasis-free survival, tumor regression grade, or nodal stage. Quantitative real-time polymerase chain reaction (qPCR) was performed on an independent set of 147 rectal cancer patients to validate relevant miRNAs. Results: In the microarray screen, 14 microRNAs were significantly correlated to overall survival. Five microRNAs were included from previous work. Finally, 19 miRNAs were evaluated by qPCR. miR-515-5p, miR-573, miR-579 and miR-802 demonstrated significant correlation with overall survival and cancer-specific survival (p < 0.05). miR-573 was also significantly correlated with the tumor regression grade after preoperative chemoradiotherapy. miR-133b showed a significant correlation with distant-metastasis-free survival. miR-146b expression levels showed a significant correlation with nodal stage. Conclusion: Specific microRNAs can be used as biomarkers to predict prognosis of patients with rectal cancer and possibly stratify patients’ therapy if validated in a prospective study. MDPI 2016-04-15 /pmc/articles/PMC4849024/ /pubmed/27092493 http://dx.doi.org/10.3390/ijms17040568 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Azizian, Azadeh Epping, Ingo Kramer, Frank Jo, Peter Bernhardt, Markus Kitz, Julia Salinas, Gabriela Wolff, Hendrik A. Grade, Marian Beißbarth, Tim Ghadimi, B. Michael Gaedcke, Jochen Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title | Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title_full | Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title_fullStr | Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title_full_unstemmed | Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title_short | Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer |
title_sort | prognostic value of micrornas in preoperative treated rectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4849024/ https://www.ncbi.nlm.nih.gov/pubmed/27092493 http://dx.doi.org/10.3390/ijms17040568 |
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