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Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer
OBJECTIVE: Ovarian cancer is the leading cause of death among gynecologic malignancies. This is partly due to a non-durable response to chemotherapy. Prediction of resistance to chemotherapy could be a key role in more personalized treatment. In the current study we aimed to examine if microRNA base...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363866/ https://www.ncbi.nlm.nih.gov/pubmed/28334047 http://dx.doi.org/10.1371/journal.pone.0174300 |
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author | Prahm, Kira Philipsen Høgdall, Claus Karlsen, Mona Aarenstrup Christensen, Ib Jarle Novotny, Guy Wayne Knudsen, Steen Hansen, Anker Jensen, Peter Buhl Jensen, Thomas Mirza, Mansoor Raza Ekmann-Gade, Anne Weng Nedergaard, Lotte Høgdall, Estrid |
author_facet | Prahm, Kira Philipsen Høgdall, Claus Karlsen, Mona Aarenstrup Christensen, Ib Jarle Novotny, Guy Wayne Knudsen, Steen Hansen, Anker Jensen, Peter Buhl Jensen, Thomas Mirza, Mansoor Raza Ekmann-Gade, Anne Weng Nedergaard, Lotte Høgdall, Estrid |
author_sort | Prahm, Kira Philipsen |
collection | PubMed |
description | OBJECTIVE: Ovarian cancer is the leading cause of death among gynecologic malignancies. This is partly due to a non-durable response to chemotherapy. Prediction of resistance to chemotherapy could be a key role in more personalized treatment. In the current study we aimed to examine if microRNA based predictors could predict resistance to chemotherapy in ovarian cancer, and to investigate if the predictors could be prognostic factors for progression free and overall survival. METHODS: Predictors of chemotherapy-resistance were developed based on correlation between miRNA expression and differences in measured growth inhibition in a variety of human cancer cell lines in the presence of Carboplatin, Paclitaxel and Docetaxel. These predictors were then, retrospectively, blindly validated in a cohort of 170 epithelial ovarian cancer patients treated with Carboplatin and Paclitaxel or Docetaxel as first line treatment. RESULTS: In a multivariate cox proportional analysis the predictors of chemotherapy-resistance were not able to predict time to progression after end of chemotherapy (hazard ratio: 0.64, 95% CI: 0.36–1.12, P = 0.117). However, in a multivariate logistic analysis, where time to progression was considered as either more or less than 6 months, the predictors match clinical observed chemotherapy-resistance (odds ratio: 0.19, 95% CI: 0.05–0.73, P = 0.015). Neither univariate nor multivariate, time-dependent, cox analysis for progression free survival (PFS) or overall survival (OS) in all 170 patients showed to match predicted resistance to chemotherapy (PFS: hazard ratio: 0.69, 95% CI: 0.40–1.19, P = 0.183, OS: hazard ratio: 0.76, 95% CI: 0.42–1.40, P = 0.386). CONCLUSION: In the current study, microRNA based predictors of chemotherapy-resistance did not demonstrate any convincing correlation to clinical observed chemotherapy-resistance, progression free survival, or overall survival, in patients with epithelial ovarian cancer. However the predictors did reflect relapse more or less than 6 months. |
format | Online Article Text |
id | pubmed-5363866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53638662017-04-06 Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer Prahm, Kira Philipsen Høgdall, Claus Karlsen, Mona Aarenstrup Christensen, Ib Jarle Novotny, Guy Wayne Knudsen, Steen Hansen, Anker Jensen, Peter Buhl Jensen, Thomas Mirza, Mansoor Raza Ekmann-Gade, Anne Weng Nedergaard, Lotte Høgdall, Estrid PLoS One Research Article OBJECTIVE: Ovarian cancer is the leading cause of death among gynecologic malignancies. This is partly due to a non-durable response to chemotherapy. Prediction of resistance to chemotherapy could be a key role in more personalized treatment. In the current study we aimed to examine if microRNA based predictors could predict resistance to chemotherapy in ovarian cancer, and to investigate if the predictors could be prognostic factors for progression free and overall survival. METHODS: Predictors of chemotherapy-resistance were developed based on correlation between miRNA expression and differences in measured growth inhibition in a variety of human cancer cell lines in the presence of Carboplatin, Paclitaxel and Docetaxel. These predictors were then, retrospectively, blindly validated in a cohort of 170 epithelial ovarian cancer patients treated with Carboplatin and Paclitaxel or Docetaxel as first line treatment. RESULTS: In a multivariate cox proportional analysis the predictors of chemotherapy-resistance were not able to predict time to progression after end of chemotherapy (hazard ratio: 0.64, 95% CI: 0.36–1.12, P = 0.117). However, in a multivariate logistic analysis, where time to progression was considered as either more or less than 6 months, the predictors match clinical observed chemotherapy-resistance (odds ratio: 0.19, 95% CI: 0.05–0.73, P = 0.015). Neither univariate nor multivariate, time-dependent, cox analysis for progression free survival (PFS) or overall survival (OS) in all 170 patients showed to match predicted resistance to chemotherapy (PFS: hazard ratio: 0.69, 95% CI: 0.40–1.19, P = 0.183, OS: hazard ratio: 0.76, 95% CI: 0.42–1.40, P = 0.386). CONCLUSION: In the current study, microRNA based predictors of chemotherapy-resistance did not demonstrate any convincing correlation to clinical observed chemotherapy-resistance, progression free survival, or overall survival, in patients with epithelial ovarian cancer. However the predictors did reflect relapse more or less than 6 months. Public Library of Science 2017-03-23 /pmc/articles/PMC5363866/ /pubmed/28334047 http://dx.doi.org/10.1371/journal.pone.0174300 Text en © 2017 Prahm et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Prahm, Kira Philipsen Høgdall, Claus Karlsen, Mona Aarenstrup Christensen, Ib Jarle Novotny, Guy Wayne Knudsen, Steen Hansen, Anker Jensen, Peter Buhl Jensen, Thomas Mirza, Mansoor Raza Ekmann-Gade, Anne Weng Nedergaard, Lotte Høgdall, Estrid Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title | Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title_full | Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title_fullStr | Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title_full_unstemmed | Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title_short | Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer |
title_sort | clinical validation of chemotherapy predictors developed on global microrna expression in the nci60 cell line panel tested in ovarian cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363866/ https://www.ncbi.nlm.nih.gov/pubmed/28334047 http://dx.doi.org/10.1371/journal.pone.0174300 |
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