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

J 2010

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

ANTONOV, Janine; Vlad POPOVICI; Mauro DELORENZI; Pratyaksha WIRAPATI; Anna BALTZER et al.

Základní údaje

Originální název

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

Autoři

Vydání

BMC Cancer, England, London : BioMed Central, 2010, 1471-2407

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 3.153

Označené pro přenos do RIV

DOI

https://doi.org/10.1186/1471-2407-10-37

UT WoS

000275208200003

Změněno: 4. 3. 2013 15:05, doc. Ing. Vlad Popovici, PhD

Anotace

V originále

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

Citovat

ANTONOV, Janine; Vlad POPOVICI; Mauro DELORENZI; Pratyaksha WIRAPATI; Anna BALTZER; Andrea OBERLI; Beat THUERLIMANN; Anita GIOBBIE-HURDER; Giuseppe VIALE; Hans Joerg ALTERMATT; Stefan AEBI a Rolf JAGGI. Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue. BMC Cancer. England: London : BioMed Central, 2010, roč. 10, 13 s. ISSN 1471-2407. Dostupné z: https://doi.org/10.1186/1471-2407-10-37.

@article{1090303,
   author = {Antonov, Janine and Popovici, Vlad and Delorenzi, Mauro and Wirapati, Pratyaksha and Baltzer, Anna and Oberli, Andrea and Thuerlimann, Beat and GiobbieandHurder, Anita and Viale, Giuseppe and Altermatt, Hans Joerg and Aebi, Stefan and Jaggi, Rolf},
   article_location = {England},
   doi = {https://doi.org/10.1186/1471-2407-10-37},
   language = {eng},
   issn = {1471-2407},
   journal = {BMC Cancer},
   title = {Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue},
   volume = {10},
   year = {2010}
}

TY  - JOUR
ID  - 1090303
AU  - Antonov, Janine - Popovici, Vlad - Delorenzi, Mauro - Wirapati, Pratyaksha - Baltzer, Anna - Oberli, Andrea - Thuerlimann, Beat - Giobbie-Hurder, Anita - Viale, Giuseppe - Altermatt, Hans Joerg - Aebi, Stefan - Jaggi, Rolf
PY  - 2010
TI  - Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue
JF  - BMC Cancer
VL  - 10
PB  - London : BioMed Central
SN  - 14712407
N2  - 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
ER  -

ANTONOV, Janine; Vlad POPOVICI; Mauro DELORENZI; Pratyaksha WIRAPATI; Anna BALTZER; Andrea OBERLI; Beat THUERLIMANN; Anita GIOBBIE-HURDER; Giuseppe VIALE; Hans Joerg ALTERMATT; Stefan AEBI a Rolf JAGGI. Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue. \textit{BMC Cancer}. England: London : BioMed Central, 2010, roč.~10, 13 s. ISSN~1471-2407. Dostupné z: https://doi.org/10.1186/1471-2407-10-37.

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