Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR
Background: Multiple clinical risk factors and genetic profiles have been demonstrated to predict progression of non-muscle invasive bladder cancer; however, no easily clinical applicable gene signature has been developed to predict disease progression independent of disease stage and grade. Methods...
| Autores: | , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/23714 |
| Acceso en línea: | http://hdl.handle.net/10230/23714 http://dx.doi.org/10.1038/bjc.2012.412 |
| Access Level: | acceso abierto |
| Palabra clave: | Bufeta -- Càncer -- Aspectes moleculars Prognosi Bladder cancer PCR Heterogeneity Progression Outcome |
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Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCRDyrskjøt, LarsReinert, ThomasNovoradovsky, AlexeyZuiverloon, Tahlita CMBeukers, WillemienZwarthoff, EllenMalats i Riera, NúriaReal, Francisco X.Segersten, UlrikaMalmström, Per-UnoKnowles, MeganHurst, CarolynSorge, JosephBorre, MichaelBufeta -- Càncer -- Aspectes molecularsPrognosiBladder cancerPCRHeterogeneityProgressionOutcomeBackground: Multiple clinical risk factors and genetic profiles have been demonstrated to predict progression of non-muscle invasive bladder cancer; however, no easily clinical applicable gene signature has been developed to predict disease progression independent of disease stage and grade. Methods: We measured the intra-patient variation of an 88-gene progression signature using 39 metachronous tumours from 17 patients. For delineation of the optimal quantitative reverse transcriptase PCR panel of markers, we used 115 tumour samples from patients in Denmark, Sweden, UK and Spain. Results: Analysis of intra-patient variation of the molecular markers showed 71% similar classification results. A final panel of 12 genes was selected, showing significant correlation with outcome. In multivariate Cox regression analysis, we found that the 12-gene signature was an independent prognostic factor (hazard ratio=7.4 (95% confidence interval: 3.4–15.9), P<0.001) when adjusting for stage, grade and treatment. Independent validation of the 12-gene panel and the determined cut-off values is needed and ongoing. Conclusion: Intra-patient marker variation in metachronous tumours is present. Therefore, to increase test sensitivity, it may be necessary to test several metachronous tumours from a patient’s disease course. A PCR-based 12-gene signature significantly predicts disease progression in patients with non-muscle invasive bladder cancer.The study was supported by The John and Birthe Meyer Foundation, the Danish Cancer Society, the Ministry of Technology and Science, and the Lundbeck Foundation. Furthermore, the research leading to these results has received funding from the European Community’s Seventh Framework program FP7/2007-2011 under grant agreement no. 201663.Cancer Research UK201520152012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/23714http://dx.doi.org/10.1038/bjc.2012.412reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésBritish Journal of Cancer. 2012;107:1392-8info:eu-repo/grantAgreement/EC/FP7/201663From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License.http://creativecommons.org/licenses/by-nc-sa/3.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/237142026-06-12T07:21:37Z |
| dc.title.none.fl_str_mv |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| title |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| spellingShingle |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR Dyrskjøt, Lars Bufeta -- Càncer -- Aspectes moleculars Prognosi Bladder cancer PCR Heterogeneity Progression Outcome |
| title_short |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| title_full |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| title_fullStr |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| title_full_unstemmed |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| title_sort |
Analysis of molecular intra-patient variation and delineation of a prognostic 12-gene signature in non-muscle invasive bladder cancer; technology transfer from microarrays to PCR |
| dc.creator.none.fl_str_mv |
Dyrskjøt, Lars Reinert, Thomas Novoradovsky, Alexey Zuiverloon, Tahlita CM Beukers, Willemien Zwarthoff, Ellen Malats i Riera, Núria Real, Francisco X. Segersten, Ulrika Malmström, Per-Uno Knowles, Megan Hurst, Carolyn Sorge, Joseph Borre, Michael |
| author |
Dyrskjøt, Lars |
| author_facet |
Dyrskjøt, Lars Reinert, Thomas Novoradovsky, Alexey Zuiverloon, Tahlita CM Beukers, Willemien Zwarthoff, Ellen Malats i Riera, Núria Real, Francisco X. Segersten, Ulrika Malmström, Per-Uno Knowles, Megan Hurst, Carolyn Sorge, Joseph Borre, Michael |
| author_role |
author |
| author2 |
Reinert, Thomas Novoradovsky, Alexey Zuiverloon, Tahlita CM Beukers, Willemien Zwarthoff, Ellen Malats i Riera, Núria Real, Francisco X. Segersten, Ulrika Malmström, Per-Uno Knowles, Megan Hurst, Carolyn Sorge, Joseph Borre, Michael |
| author2_role |
author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Bufeta -- Càncer -- Aspectes moleculars Prognosi Bladder cancer PCR Heterogeneity Progression Outcome |
| topic |
Bufeta -- Càncer -- Aspectes moleculars Prognosi Bladder cancer PCR Heterogeneity Progression Outcome |
| description |
Background: Multiple clinical risk factors and genetic profiles have been demonstrated to predict progression of non-muscle invasive bladder cancer; however, no easily clinical applicable gene signature has been developed to predict disease progression independent of disease stage and grade. Methods: We measured the intra-patient variation of an 88-gene progression signature using 39 metachronous tumours from 17 patients. For delineation of the optimal quantitative reverse transcriptase PCR panel of markers, we used 115 tumour samples from patients in Denmark, Sweden, UK and Spain. Results: Analysis of intra-patient variation of the molecular markers showed 71% similar classification results. A final panel of 12 genes was selected, showing significant correlation with outcome. In multivariate Cox regression analysis, we found that the 12-gene signature was an independent prognostic factor (hazard ratio=7.4 (95% confidence interval: 3.4–15.9), P<0.001) when adjusting for stage, grade and treatment. Independent validation of the 12-gene panel and the determined cut-off values is needed and ongoing. Conclusion: Intra-patient marker variation in metachronous tumours is present. Therefore, to increase test sensitivity, it may be necessary to test several metachronous tumours from a patient’s disease course. A PCR-based 12-gene signature significantly predicts disease progression in patients with non-muscle invasive bladder cancer. |
| publishDate |
2012 |
| dc.date.none.fl_str_mv |
2012 2015 2015 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/23714 http://dx.doi.org/10.1038/bjc.2012.412 |
| url |
http://hdl.handle.net/10230/23714 http://dx.doi.org/10.1038/bjc.2012.412 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
British Journal of Cancer. 2012;107:1392-8 info:eu-repo/grantAgreement/EC/FP7/201663 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/3.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/3.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Cancer Research UK |
| publisher.none.fl_str_mv |
Cancer Research UK |
| dc.source.none.fl_str_mv |
reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
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Universitat Pompeu Fabra |
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Repositorio Digital de la UPF |
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Repositorio Digital de la UPF |
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15,812429 |