Estrogen-Regulated Genes Predict Survival in Hormone Receptor–Positive Breast Cancers J Clin Oncol 24:1656-1664.2006. Daniel S. Oh, Melissa A. Troester,

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Estrogen-Regulated Genes Predict Survival in Hormone Receptor–Positive Breast Cancers J Clin Oncol 24: Daniel S. Oh, Melissa A. Troester, Jerry Usary, Zhiyuan Hu, Xiaping He, Cheng Fan, Junyuan Wu, Lisa A. Carey, and Charles M. Perou

INTRODUCTION Hormone antagonist responsive breast cancers –ER and/or PR positive –Tamoxifen resistance mechanisms are unknown who do not experience relapse ? –Gene expression profiling

Sorlie et al. PNAS 2003

Fig. 5. Kaplan–Meier analysis of disease outcome in two patient cohorts. (A) Time to development of distant metastasis in the 97 sporadic cases from van’t Veer et al. Patients were stratified according to the subtypes as shown in Fig. 2B. (B) Overall survival for 72 patients with locally advanced breast cancer in the Norway cohort. The normal-like tumor subgroups were omitted from both data sets in this analysis. - Sorlie et al. PNAS 2003

Gene expression Profiling –5 molecular subtypes –basal-like, HER2/ER-,normal breast–like, and luminal A and B –Significant differences in patient outcome. 2 luminal subtypes –composed almost entirely of ER and/or PR tumors –defined by the high expression of a gene set (luminal epithelial ER set) that includes ER and GATA3. –luminal B tumors Poor outcomes than A type

Gene expression–based predictors for ER and/or PR patients. –analyses based on patient outcomes/tumor response. Biologic characteristics of the tumors. –the importance of estrogen signaling in breast epithelial cell biology

AIM We hypothesized that differential expression of estrogen-regulated genes would be useful in predicting outcome.

MATERIALS AND METHODS

Cell Culture and Collection of mRNA Microarray Experiments Analysis of Microarray Data to Identify GATA3 and Estrogen-Regulated Genes Analysis of Primary Breast Tumor Data Using the Estrogen-Induced Gene Set Survival analysis

MCF cell line Estrogen regulated 383 induced gene 65 luminal tumors (61) Microarray Gr. I Gr. II Estrogen SAM list 822 genes Microarray Gr. IE Gr. IIE + Ma et al. 60 tumors Chang et al. 250 tumors Sorlie et al. 90 tumors

RESULTS

Identification of Estrogen-Regulated Genes –the ER human breast tumor-derived MCF-7 cell line as a model A one-class SAM supervised analysis –383 induced and 574 repressed genes in microarray experiments on MCF-7 cells treated with 17-estradiol –Many genes identified previously known to be ER-regulated CCND1, PR, RERG, CTSD, and PDZK1 “sterol metabolism/biosynthesis,” “ribosome biogenesis/assembly,” and “cytoskeleton structural constituent” were overrepresented

To determine whether estrogen-regulated genes are present in the luminal/ER gene set, we first clustered using a 1,300-gene “breast intrinsic” gene set 65 luminal tumors 383 MCF-7 Estrogen induced genes Genes regulated by GATA3 (transcription factor in ER+ BRCA) Gr1 XBP1, PR, TFF (ER targets) Gr2 CTPS, E2F6, FANCA (ER induced genes) 118 primary breast tumors 1,300-gene “breast intrinsic” gene set

65 luminal tumors 822 gene (estrogen-SAM list) induced genes Gr1E - XBP1, PR, FOXA1 (Fig. 2B-E) (transcriptional regulation, DNA binding, ER targets) Gr2E – Ki67, MYBL2, Survivin, STK6, CCNB2 (Fig G)  recurrence, poliferation predictor Gr 2E – MAGE-A genes (Fig 2F)  recurrence

DISCUSSION

a different approach –selected genes on the basis of regulation by estrogen and their natural patterns of expression in primary tumors. –The 822-gene estrogen-SAM list identified many genes that may help explain the outcome differences seen in ER and/or PR patients. Good-outcome group IE tumors –tended to be more differentiated –highly expressed a subset of estrogen- and GATA3-regulated genes. poor-outcome group IIE tumors –more likely to be poorly differentiated

the group IE-IIE profile and grade –grade includes a measure of proliferation –an important determinant of outcomes in ER and/or PR patients –significant in a multivariate analysis –adds prognostic information beyond what grade provides.

The most pressing questions remaining regarding the group IE-IIE classification (1) whether group IE and IIE gain similar benefits from chemotherapy (2) because group IIE tumors do poorly in the presence of tamoxifen, might they do better if administered alternative endocrine therapies.

Conclusion This study provides new biologic information concerning differences within hormone receptor–positive breast cancers and a means of predicting long-term outcomes in tamoxifen- treated patients.

Estrogen and GATA3-Regulated Genes Are Present in the Luminal/ER Gene Cluster expressed in the luminal A and B tumor subtypes GATA3 –a transcription factor with an important role in ERbreast cancer biology. –Of the 407 genes induced by GATA3 in vitro,manywere present in the luminal/ERgene cluster.

An important unanswered question –whether the group IE-IIE distinction predicts pure prognosis, responsiveness to endocrine therapy, or both. –it is clear that the group IE-IIE distinction predicts outcome in –ER and/or PR patient subsets either receiving or not receiving –adjuvant hormone therapy –an advantage of our analysis is that it provides additional biologic information (eg, antiapoptosis genes) that the Paik et al and other predictors did not. Paik et al’s finding that their predictor –also predicts benefit of chemotherapy may also apply to ours.