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miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples
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| Zeitschriftentitel: | Clinical Cancer Research |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
| In: | Clinical Cancer Research, 17, 2011, 24, S. 7684-7692 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Association for Cancer Research (AACR)
|
| Schlagwörter: |
| author_facet |
De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo |
|---|---|
| author |
De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo |
| spellingShingle |
De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo Clinical Cancer Research miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples Cancer Research Oncology |
| author_sort |
de preter, katleen |
| spelling |
De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo 1078-0432 1557-3265 American Association for Cancer Research (AACR) Cancer Research Oncology http://dx.doi.org/10.1158/1078-0432.ccr-11-0610 <jats:title>Abstract</jats:title> <jats:p>Purpose: More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed paraffin-embedded (FFPE) samples.</jats:p> <jats:p>Experimental Design: Four hundred-thirty human mature miRNAs were profiled in two patient subgroups with maximally divergent clinical courses. Univariate logistic regression analysis was used to select miRNAs correlating with NB patient survival. A 25-miRNA gene signature was built using 51 training samples, tested on 179 test samples, and validated on an independent set of 304 fresh frozen tumor samples and 75 archived FFPE samples.</jats:p> <jats:p>Results: The 25-miRNA signature significantly discriminates the test patients with respect to progression-free and overall survival (P &lt; 0.0001), both in the overall population and in the cohort of high-risk patients. Multivariate analysis indicates that the miRNA signature is an independent predictor of patient survival after controlling for current risk factors. The results were confirmed in an external validation set. In contrast to a previously published mRNA classifier, the 25-miRNA signature was found to be predictive for patient survival in a set of 75 FFPE neuroblastoma samples.</jats:p> <jats:p>Conclusions: In this study, we present the largest NB miRNA expression study so far, including more than 500 NB patients. We established and validated a robust miRNA classifier, able to identify a cohort of high-risk NB patients at greater risk for adverse outcome using both fresh frozen and archived material. Clin Cancer Res; 17(24); 7684–92. ©2011 AACR.</jats:p> miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples Clinical Cancer Research |
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American Association for Cancer Research (AACR), 2011 |
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American Association for Cancer Research (AACR), 2011 |
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1078-0432 1557-3265 |
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| title |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_unstemmed |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_full |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_fullStr |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_full_unstemmed |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_short |
miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_sort |
mirna expression profiling enables risk stratification in archived and fresh neuroblastoma tumor samples |
| topic |
Cancer Research Oncology |
| url |
http://dx.doi.org/10.1158/1078-0432.ccr-11-0610 |
| publishDate |
2011 |
| physical |
7684-7692 |
| description |
<jats:title>Abstract</jats:title>
<jats:p>Purpose: More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed paraffin-embedded (FFPE) samples.</jats:p>
<jats:p>Experimental Design: Four hundred-thirty human mature miRNAs were profiled in two patient subgroups with maximally divergent clinical courses. Univariate logistic regression analysis was used to select miRNAs correlating with NB patient survival. A 25-miRNA gene signature was built using 51 training samples, tested on 179 test samples, and validated on an independent set of 304 fresh frozen tumor samples and 75 archived FFPE samples.</jats:p>
<jats:p>Results: The 25-miRNA signature significantly discriminates the test patients with respect to progression-free and overall survival (P &lt; 0.0001), both in the overall population and in the cohort of high-risk patients. Multivariate analysis indicates that the miRNA signature is an independent predictor of patient survival after controlling for current risk factors. The results were confirmed in an external validation set. In contrast to a previously published mRNA classifier, the 25-miRNA signature was found to be predictive for patient survival in a set of 75 FFPE neuroblastoma samples.</jats:p>
<jats:p>Conclusions: In this study, we present the largest NB miRNA expression study so far, including more than 500 NB patients. We established and validated a robust miRNA classifier, able to identify a cohort of high-risk NB patients at greater risk for adverse outcome using both fresh frozen and archived material. Clin Cancer Res; 17(24); 7684–92. ©2011 AACR.</jats:p> |
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| author | De Preter, Katleen, Mestdagh, Pieter, Vermeulen, Joëlle, Zeka, Fjoralba, Naranjo, Arlene, Bray, Isabella, Castel, Victoria, Chen, Caifu, Drozynska, Elzbieta, Eggert, Angelika, Hogarty, Michael D., Iżycka-Swieszewska, Ewa, London, Wendy B., Noguera, Rosa, Piqueras, Marta, Bryan, Kenneth, Schowe, Benjamin, van Sluis, Peter, Molenaar, Jan J., Schramm, Alexander, Schulte, Johannes H., Stallings, Raymond L., Versteeg, Rogier, Laureys, Geneviève, Van Roy, Nadine, Speleman, Frank, Vandesompele, Jo |
| author_facet | De Preter, Katleen, Mestdagh, Pieter, Vermeulen, Joëlle, Zeka, Fjoralba, Naranjo, Arlene, Bray, Isabella, Castel, Victoria, Chen, Caifu, Drozynska, Elzbieta, Eggert, Angelika, Hogarty, Michael D., Iżycka-Swieszewska, Ewa, London, Wendy B., Noguera, Rosa, Piqueras, Marta, Bryan, Kenneth, Schowe, Benjamin, van Sluis, Peter, Molenaar, Jan J., Schramm, Alexander, Schulte, Johannes H., Stallings, Raymond L., Versteeg, Rogier, Laureys, Geneviève, Van Roy, Nadine, Speleman, Frank, Vandesompele, Jo, De Preter, Katleen, Mestdagh, Pieter, Vermeulen, Joëlle, Zeka, Fjoralba, Naranjo, Arlene, Bray, Isabella, Castel, Victoria, Chen, Caifu, Drozynska, Elzbieta, Eggert, Angelika, Hogarty, Michael D., Iżycka-Swieszewska, Ewa, London, Wendy B., Noguera, Rosa, Piqueras, Marta, Bryan, Kenneth, Schowe, Benjamin, van Sluis, Peter, Molenaar, Jan J., Schramm, Alexander, Schulte, Johannes H., Stallings, Raymond L., Versteeg, Rogier, Laureys, Geneviève, Van Roy, Nadine, Speleman, Frank, Vandesompele, Jo |
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| description | <jats:title>Abstract</jats:title> <jats:p>Purpose: More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed paraffin-embedded (FFPE) samples.</jats:p> <jats:p>Experimental Design: Four hundred-thirty human mature miRNAs were profiled in two patient subgroups with maximally divergent clinical courses. Univariate logistic regression analysis was used to select miRNAs correlating with NB patient survival. A 25-miRNA gene signature was built using 51 training samples, tested on 179 test samples, and validated on an independent set of 304 fresh frozen tumor samples and 75 archived FFPE samples.</jats:p> <jats:p>Results: The 25-miRNA signature significantly discriminates the test patients with respect to progression-free and overall survival (P &lt; 0.0001), both in the overall population and in the cohort of high-risk patients. Multivariate analysis indicates that the miRNA signature is an independent predictor of patient survival after controlling for current risk factors. The results were confirmed in an external validation set. In contrast to a previously published mRNA classifier, the 25-miRNA signature was found to be predictive for patient survival in a set of 75 FFPE neuroblastoma samples.</jats:p> <jats:p>Conclusions: In this study, we present the largest NB miRNA expression study so far, including more than 500 NB patients. We established and validated a robust miRNA classifier, able to identify a cohort of high-risk NB patients at greater risk for adverse outcome using both fresh frozen and archived material. Clin Cancer Res; 17(24); 7684–92. ©2011 AACR.</jats:p> |
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| spelling | De Preter, Katleen Mestdagh, Pieter Vermeulen, Joëlle Zeka, Fjoralba Naranjo, Arlene Bray, Isabella Castel, Victoria Chen, Caifu Drozynska, Elzbieta Eggert, Angelika Hogarty, Michael D. Iżycka-Swieszewska, Ewa London, Wendy B. Noguera, Rosa Piqueras, Marta Bryan, Kenneth Schowe, Benjamin van Sluis, Peter Molenaar, Jan J. Schramm, Alexander Schulte, Johannes H. Stallings, Raymond L. Versteeg, Rogier Laureys, Geneviève Van Roy, Nadine Speleman, Frank Vandesompele, Jo 1078-0432 1557-3265 American Association for Cancer Research (AACR) Cancer Research Oncology http://dx.doi.org/10.1158/1078-0432.ccr-11-0610 <jats:title>Abstract</jats:title> <jats:p>Purpose: More accurate assessment of prognosis is important to further improve the choice of risk-related therapy in neuroblastoma (NB) patients. In this study, we aimed to establish and validate a prognostic miRNA signature for children with NB and tested it in both fresh frozen and archived formalin-fixed paraffin-embedded (FFPE) samples.</jats:p> <jats:p>Experimental Design: Four hundred-thirty human mature miRNAs were profiled in two patient subgroups with maximally divergent clinical courses. Univariate logistic regression analysis was used to select miRNAs correlating with NB patient survival. A 25-miRNA gene signature was built using 51 training samples, tested on 179 test samples, and validated on an independent set of 304 fresh frozen tumor samples and 75 archived FFPE samples.</jats:p> <jats:p>Results: The 25-miRNA signature significantly discriminates the test patients with respect to progression-free and overall survival (P &lt; 0.0001), both in the overall population and in the cohort of high-risk patients. Multivariate analysis indicates that the miRNA signature is an independent predictor of patient survival after controlling for current risk factors. The results were confirmed in an external validation set. In contrast to a previously published mRNA classifier, the 25-miRNA signature was found to be predictive for patient survival in a set of 75 FFPE neuroblastoma samples.</jats:p> <jats:p>Conclusions: In this study, we present the largest NB miRNA expression study so far, including more than 500 NB patients. We established and validated a robust miRNA classifier, able to identify a cohort of high-risk NB patients at greater risk for adverse outcome using both fresh frozen and archived material. Clin Cancer Res; 17(24); 7684–92. ©2011 AACR.</jats:p> miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples Clinical Cancer Research |
| spellingShingle | De Preter, Katleen, Mestdagh, Pieter, Vermeulen, Joëlle, Zeka, Fjoralba, Naranjo, Arlene, Bray, Isabella, Castel, Victoria, Chen, Caifu, Drozynska, Elzbieta, Eggert, Angelika, Hogarty, Michael D., Iżycka-Swieszewska, Ewa, London, Wendy B., Noguera, Rosa, Piqueras, Marta, Bryan, Kenneth, Schowe, Benjamin, van Sluis, Peter, Molenaar, Jan J., Schramm, Alexander, Schulte, Johannes H., Stallings, Raymond L., Versteeg, Rogier, Laureys, Geneviève, Van Roy, Nadine, Speleman, Frank, Vandesompele, Jo, Clinical Cancer Research, miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples, Cancer Research, Oncology |
| title | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_full | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_fullStr | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_full_unstemmed | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_short | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| title_sort | mirna expression profiling enables risk stratification in archived and fresh neuroblastoma tumor samples |
| title_unstemmed | miRNA Expression Profiling Enables Risk Stratification in Archived and Fresh Neuroblastoma Tumor Samples |
| topic | Cancer Research, Oncology |
| url | http://dx.doi.org/10.1158/1078-0432.ccr-11-0610 |