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Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue

BACKGROUND: The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months. METHODS: RNA from fresh frozen (FF) and FFPE tumor...

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Autores principales: Antonov, Janine, Popovici, Vlad, Delorenzi, Mauro, Wirapati, Pratyaksha, Baltzer, Anna, Oberli, Andrea, Thürlimann, Beat, Giobbie-Hurder, Anita, Viale, Giuseppe, Altermatt, Hans Jörg, Aebi, Stefan, Jaggi, Rolf
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829498/
https://www.ncbi.nlm.nih.gov/pubmed/20144231
http://dx.doi.org/10.1186/1471-2407-10-37
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author Antonov, Janine
Popovici, Vlad
Delorenzi, Mauro
Wirapati, Pratyaksha
Baltzer, Anna
Oberli, Andrea
Thürlimann, Beat
Giobbie-Hurder, Anita
Viale, Giuseppe
Altermatt, Hans Jörg
Aebi, Stefan
Jaggi, Rolf
author_facet Antonov, Janine
Popovici, Vlad
Delorenzi, Mauro
Wirapati, Pratyaksha
Baltzer, Anna
Oberli, Andrea
Thürlimann, Beat
Giobbie-Hurder, Anita
Viale, Giuseppe
Altermatt, Hans Jörg
Aebi, Stefan
Jaggi, Rolf
author_sort Antonov, Janine
collection PubMed
description BACKGROUND: The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months. METHODS: RNA from fresh frozen (FF) and FFPE tumor samples of 82 patients were used for quality control, and independent FFPE tissues of 342 postmenopausal participants of BIG 1-98 with ER-positive cancer were analyzed by measuring prospectively selected genes and computing scores representing the functions of the estrogen receptor (eight genes, ER_8), the progesterone receptor (five genes, PGR_5), Her2 (two genes, HER2_2), and proliferation (ten genes, PRO_10) by quantitative reverse transcription PCR (qRT-PCR) on TaqMan Low Density Arrays. Molecular scores were computed for each category and ER_8, PGR_5, HER2_2, and PRO_10 scores were combined into a RISK_25 score. RESULTS: Pearson correlation coefficients between FF- and FFPE-derived scores were at least 0.94 and high concordance was observed between molecular scores and immunohistochemical data. The HER2_2, PGR_5, PRO_10 and RISK_25 scores were significant predictors of disease free-survival (DFS) in univariate Cox proportional hazard regression. PRO_10 and RISK_25 scores predicted DFS in patients with histological grade II breast cancer and in lymph node positive disease. The PRO_10 and PGR_5 scores were independent predictors of DFS in multivariate Cox regression models incorporating clinical risk indicators; PRO_10 outperformed Ki-67 labeling index in multivariate Cox proportional hazard analyses. CONCLUSIONS: Scores representing the endocrine responsiveness and proliferation status of breast cancers were developed from gene expression analyses based on RNA derived from FFPE tissues. The validation of the molecular scores with tumor samples of participants of the BIG 1-98 trial demonstrates that such scores can serve as independent prognostic factors to estimate disease free survival (DFS) in postmenopausal patients with estrogen receptor positive breast cancer. TRIAL REGISTRATION: Current Controlled Trials: NCT00004205
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spelling pubmed-28294982010-02-28 Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue Antonov, Janine Popovici, Vlad Delorenzi, Mauro Wirapati, Pratyaksha Baltzer, Anna Oberli, Andrea Thürlimann, Beat Giobbie-Hurder, Anita Viale, Giuseppe Altermatt, Hans Jörg Aebi, Stefan Jaggi, Rolf BMC Cancer Research Article BACKGROUND: The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months. METHODS: RNA from fresh frozen (FF) and FFPE tumor samples of 82 patients were used for quality control, and independent FFPE tissues of 342 postmenopausal participants of BIG 1-98 with ER-positive cancer were analyzed by measuring prospectively selected genes and computing scores representing the functions of the estrogen receptor (eight genes, ER_8), the progesterone receptor (five genes, PGR_5), Her2 (two genes, HER2_2), and proliferation (ten genes, PRO_10) by quantitative reverse transcription PCR (qRT-PCR) on TaqMan Low Density Arrays. Molecular scores were computed for each category and ER_8, PGR_5, HER2_2, and PRO_10 scores were combined into a RISK_25 score. RESULTS: Pearson correlation coefficients between FF- and FFPE-derived scores were at least 0.94 and high concordance was observed between molecular scores and immunohistochemical data. The HER2_2, PGR_5, PRO_10 and RISK_25 scores were significant predictors of disease free-survival (DFS) in univariate Cox proportional hazard regression. PRO_10 and RISK_25 scores predicted DFS in patients with histological grade II breast cancer and in lymph node positive disease. The PRO_10 and PGR_5 scores were independent predictors of DFS in multivariate Cox regression models incorporating clinical risk indicators; PRO_10 outperformed Ki-67 labeling index in multivariate Cox proportional hazard analyses. CONCLUSIONS: Scores representing the endocrine responsiveness and proliferation status of breast cancers were developed from gene expression analyses based on RNA derived from FFPE tissues. The validation of the molecular scores with tumor samples of participants of the BIG 1-98 trial demonstrates that such scores can serve as independent prognostic factors to estimate disease free survival (DFS) in postmenopausal patients with estrogen receptor positive breast cancer. TRIAL REGISTRATION: Current Controlled Trials: NCT00004205 BioMed Central 2010-02-09 /pmc/articles/PMC2829498/ /pubmed/20144231 http://dx.doi.org/10.1186/1471-2407-10-37 Text en Copyright ©2010 Antonov et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Antonov, Janine
Popovici, Vlad
Delorenzi, Mauro
Wirapati, Pratyaksha
Baltzer, Anna
Oberli, Andrea
Thürlimann, Beat
Giobbie-Hurder, Anita
Viale, Giuseppe
Altermatt, Hans Jörg
Aebi, Stefan
Jaggi, Rolf
Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title_full Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title_fullStr Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title_full_unstemmed Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title_short Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
title_sort molecular risk assessment of big 1-98 participants by expression profiling using rna from archival tissue
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829498/
https://www.ncbi.nlm.nih.gov/pubmed/20144231
http://dx.doi.org/10.1186/1471-2407-10-37
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