Your browser doesn't support javascript.
loading
A relative ordering-based predictor for tamoxifen-treated estrogen receptor-positive breast cancer patients: multi-laboratory cohort validation.
Zhou, Xianxiao; Li, Bailiang; Zhang, Yuannv; Gu, Yunyan; Chen, Beibei; Shi, Tongwei; Ao, Lu; Li, Pengfei; Li, Shan; Liu, Chunyang; Guo, Zheng.
Afiliación
  • Zhou X; Bioinformatics Centre, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Breast Cancer Res Treat ; 142(3): 505-14, 2013 Dec.
Article en En | MEDLINE | ID: mdl-24253811
ABSTRACT
Current predictors for estrogen receptor-positive (ER-positive) breast cancer patients receiving tamoxifen are often invalid in inter-laboratory validation. We aim to develop a robust predictor based on the relative ordering of expression measurement (ROE) in gene pairs. Using a large integrated dataset of 420 normal controls and 1,129 ER-positive breast tumor samples, we identified the gene pairs with stable ROEs in normal control and significantly reversed ROEs in ER-positive tumor. Using these gene pairs, we characterized each sample of a cohort of 292 ER-positive patients who received tamoxifen monotherapy for 5 years and then identified relapse risk-associated gene pairs. We extracted a gene pair subset that resulted in the largest positive and negative predictive values for predicting 10-year relapse-free survival (RFS) using a genetic algorithm. A predictor was developed based on the gene pair subset and was validated in 2 large multi-laboratory cohorts (N = 250 and 248, respectively) of ER-positive patients who received 5-year tamoxifen alone. In the first validation cohort, the patients predicted to be tamoxifen sensitive had a 10-year RFS of 91 % (95 % confidence interval [CI] 85-97 %) with an absolute risk reduction of 34 % (95 % CI 17-51 %). The patients predicted to be tamoxifen insensitive had a significantly higher relapse risk than the patients predicted to be tamoxifen sensitive (hazard ratio = 4.99, 95 % CI 2.45-10.17, P = 9.13 × 10(-7)). Similar performance was achieved for the second validation cohort. The predictor performed well in both node-negative and node-positive subsets and added significant predictive power to the clinical parameters. In contrast, 2 previously proposed predictors did not achieve significantly better performances than the baselines of the validation cohorts. In summary, the proposed predictor can accurately and robustly predict tamoxifen sensitivity of ER-positive breast cancer patients and identified patients with a high probability of 10-year RFS following tamoxifen monotherapy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tamoxifeno / Neoplasias de la Mama / Receptores de Estrógenos / Antineoplásicos Hormonales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2013 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tamoxifeno / Neoplasias de la Mama / Receptores de Estrógenos / Antineoplásicos Hormonales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2013 Tipo del documento: Article País de afiliación: China