Abstract:
:Our aim was to develop an accurate diagnostic system using gene expression analysis by means of DNA microarray for prognosis of node-negative and estrogen receptor (ER)-positive breast cancer patients in order to identify a subset of patients who can be safely spared adjuvant chemotherapy. A diagnostic system comprising a 95-gene classifier was developed for predicting the prognosis of node-negative and ER-positive breast cancer patients by using already published DNA microarray (gene expression) data (n = 549) as the training set and the DNA microarray data (n = 105) obtained at our institute as the validation set. Performance of the 95-gene classifier was compared with that of conventional prognostic factors as well as of the genomic grade index (GGI) based on the expression of 70 genes. With the 95-gene classifier we could classify the 105 patients in the validation set into a high-risk (n = 44) and a low-risk (n = 61) group with 10-year recurrence-free survival rates of 93 and 53%, respectively (P = 8.6e-7). Multivariate analysis demonstrated that the 95-gene classifier was the most important and significant predictor of recurrence (P = 9.6e-4) independently of tumor size, histological grade, progesterone receptor, HER2, Ki67, or GGI. The 95-gene classifier developed by us can predict the prognosis of node-negative and ER-positive breast cancer patients with high accuracy. The 95-gene classifier seems to perform better than the GGI. As many as 58% of the patients classified into the low-risk group with this classifier could be safely spared adjuvant chemotherapy.
journal_name
Breast Cancer Res Treatjournal_title
Breast cancer research and treatmentauthors
Naoi Y,Kishi K,Tanei T,Tsunashima R,Tominaga N,Baba Y,Kim SJ,Taguchi T,Tamaki Y,Noguchi Sdoi
10.1007/s10549-010-1145-zsubject
Has Abstractpub_date
2011-08-01 00:00:00pages
633-41issue
3eissn
0167-6806issn
1573-7217journal_volume
128pub_type
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journal_title:Breast cancer research and treatment
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pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
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journal_title:Breast cancer research and treatment
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