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MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer
BACKGROUND: To improve the prognosis of patients after resection of pancreatic cancer, the most appropriate and efficient treatment should be provided to specific subsets of patients. Our aim was to identify promising microRNAs as markers to predict responses to gemcitabine in patients with resected...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136688/ https://www.ncbi.nlm.nih.gov/pubmed/21347785 http://dx.doi.org/10.1245/s10434-011-1602-x |
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author | Ohuchida, Kenoki Mizumoto, Kazuhiro Kayashima, Tadashi Fujita, Hayato Moriyama, Taiki Ohtsuka, Takao Ueda, Junji Nagai, Eishi Hashizume, Makoto Tanaka, Masao |
author_facet | Ohuchida, Kenoki Mizumoto, Kazuhiro Kayashima, Tadashi Fujita, Hayato Moriyama, Taiki Ohtsuka, Takao Ueda, Junji Nagai, Eishi Hashizume, Makoto Tanaka, Masao |
author_sort | Ohuchida, Kenoki |
collection | PubMed |
description | BACKGROUND: To improve the prognosis of patients after resection of pancreatic cancer, the most appropriate and efficient treatment should be provided to specific subsets of patients. Our aim was to identify promising microRNAs as markers to predict responses to gemcitabine in patients with resected pancreatic cancer. METHODS: Two gemcitabine-resistant pancreatic cancer cell lines were established, and global microRNA expression analyses was performed by quantitative reverse transcription–polymerase chain reaction (qRT-PCR). Eleven miRNAs were selected as putative predictive markers and analyzed by means of macrodissected formalin-fixed, paraffin-embedded samples obtained from 90 patients with or without gemcitabine treatment after resection of pancreatic cancer. RESULTS: We identified 24 microRNAs whose expression was altered in gemcitabine-resistant cells. qRT-PCR analyses showed that patients with high miR-142-5p and miR-204 expression had significantly longer survival times than those with low miR-142-5p (P = 0.0077) and miR-204 (P = 0.0054) expression in the gemcitabine-treated group. This was not seen in the nontreated group. Multivariate analyses showed that miR-142-5p expression was an independent prognostic marker only in patients treated with gemcitabine (P = 0.034). CONCLUSIONS: miR-142-5p is a promising predictive marker for gemcitabine response in patients with resected pancreatic cancer. |
format | Online Article Text |
id | pubmed-3136688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-31366882011-08-26 MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer Ohuchida, Kenoki Mizumoto, Kazuhiro Kayashima, Tadashi Fujita, Hayato Moriyama, Taiki Ohtsuka, Takao Ueda, Junji Nagai, Eishi Hashizume, Makoto Tanaka, Masao Ann Surg Oncol Translational Research and Biomarkers BACKGROUND: To improve the prognosis of patients after resection of pancreatic cancer, the most appropriate and efficient treatment should be provided to specific subsets of patients. Our aim was to identify promising microRNAs as markers to predict responses to gemcitabine in patients with resected pancreatic cancer. METHODS: Two gemcitabine-resistant pancreatic cancer cell lines were established, and global microRNA expression analyses was performed by quantitative reverse transcription–polymerase chain reaction (qRT-PCR). Eleven miRNAs were selected as putative predictive markers and analyzed by means of macrodissected formalin-fixed, paraffin-embedded samples obtained from 90 patients with or without gemcitabine treatment after resection of pancreatic cancer. RESULTS: We identified 24 microRNAs whose expression was altered in gemcitabine-resistant cells. qRT-PCR analyses showed that patients with high miR-142-5p and miR-204 expression had significantly longer survival times than those with low miR-142-5p (P = 0.0077) and miR-204 (P = 0.0054) expression in the gemcitabine-treated group. This was not seen in the nontreated group. Multivariate analyses showed that miR-142-5p expression was an independent prognostic marker only in patients treated with gemcitabine (P = 0.034). CONCLUSIONS: miR-142-5p is a promising predictive marker for gemcitabine response in patients with resected pancreatic cancer. Springer-Verlag 2011-02-23 2011 /pmc/articles/PMC3136688/ /pubmed/21347785 http://dx.doi.org/10.1245/s10434-011-1602-x Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Translational Research and Biomarkers Ohuchida, Kenoki Mizumoto, Kazuhiro Kayashima, Tadashi Fujita, Hayato Moriyama, Taiki Ohtsuka, Takao Ueda, Junji Nagai, Eishi Hashizume, Makoto Tanaka, Masao MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title | MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title_full | MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title_fullStr | MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title_full_unstemmed | MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title_short | MicroRNA Expression as a Predictive Marker for Gemcitabine Response after Surgical Resection of Pancreatic Cancer |
title_sort | microrna expression as a predictive marker for gemcitabine response after surgical resection of pancreatic cancer |
topic | Translational Research and Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136688/ https://www.ncbi.nlm.nih.gov/pubmed/21347785 http://dx.doi.org/10.1245/s10434-011-1602-x |
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