Title of article
Estrogen receptor-related genes as an important panel of predictors for breast cancer response to neoadjuvant chemotherapy
Author/Authors
Chen، نويسنده , , Yizuo and Chen، نويسنده , , Canming and Yang، نويسنده , , Benlong and Xu، نويسنده , , Qinghua and Wu، نويسنده , , Fei and Liu، نويسنده , , Hui-Fang and Ye، نويسنده , , Xun and Meng، نويسنده , , Xia and Mougin، نويسنده , , Bruno and Liu، نويسنده , , Guangyu and Shen، نويسنده , , Zhenzhou and Shao، نويسنده , , Zhimin and Wu، نويسنده , , Jiong، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
6
From page
63
To page
68
Abstract
Purpose
al data suggest that the estrogen receptor (ER) contributes to chemotherapeutic responsiveness. However, ER status alone is not consistently predictive. In this study, we used a microarray approach to find novel ER-related genes that predicted chemotherapy responses, with the hope of providing a robust multi-variable prediction method.
s
ndred and ten patients with stages II and III breast cancer were included. They received four preoperative cycles of a weekly PCb (paclitaxel plus carboplatin) regimen. A total of 55 training cases were used for marker discovery and for identification of any ER-related genes that may have been associated with a chemotherapeutic response (“training cases”). The other 55 patients were available as an independent validation set (“validation cases”) to test, using immunohistochemistry (IHC).
s
training set, 20 significantly differentially expressed genes were identified. Among these 20 genes, TFF1, ESR1, GATA3 and TFF3 were found to be ER-related. Among 55 independent validation cases, univariate analysis indicated that clinical variables and ER-related genes were all significantly associated with pCR. It was shown that the pCR rate was as high as 80% when these five factors were all negative. In contrast, these five factors were all positive in seven of nine chemo-resistant patients.
sion
junction with levels of ER-related genes, expression of ER protein may provide important predictive outcomes for responses to neoadjuvant chemotherapy and may allow for the identification of a subgroup of patients who could significantly benefit from chemotherapy (or who may be resistant to it).
Keywords
Gene Expression Profiling , Prediction , breast cancer , ER , Neoadjuvant chemotherapy
Journal title
Cancer Letters
Serial Year
2011
Journal title
Cancer Letters
Record number
1819617
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