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Old 01-11-2007, 09:12 AM   #1
Lani
Senior Member
 
Join Date: Mar 2006
Posts: 4,780
her2s are different again--her2positivity is INVERSELY correlated with BMI

ie, the more you weigh the less likely you are to be her2+

Just shows one not to necessarily draw conclusions from data on ALL BREAST CANCERS or ER- breast cancers as a group and apply it to her2s

1: Breast Cancer Res Treat. 2007 Jan 9; [Epub ahead of print]
Body mass index and HER-2 overexpression in breast cancer patients over 50 years of age.

Van Mieghem T,
Leunen K,
Pochet N,
De Moor B,
De Smet F,
Amant F,
Berteloot P,
Timmerman D,
Vanden Bempt I,
Drijkoningen R,
Wildiers H,
Paridaens R,
Smeets A,
Hendrickx W,
Van Limbergen E,
Christiaens MR,
Vergote I,
Neven P.
Department of Obstetrics and Gynaecology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
PURPOSE: In breast cancer, in vitro as well as in vivo experiments have shown an inverse relationship between HER-2 and steroid hormone receptors. It is unknown whether circulating estrogens affect HER-2 expression. We hypothesize that the postmenopausal body mass index (BMI) as a surrogate marker for bio-available estrogens, is inversely associated with HER-2 over-expression. PATIENTS AND METHODS: A total of 535 women over age 50 or with known postmenopausal status, with a unilateral, not previously treated, operable breast cancer were evaluated the evening prior to surgery for body weight, height, abdominal and hip circumference over a 3 years period. Waist-to-hip ratio (WHR) and BMI were calculated. HER-2, estrogen receptor and progesterone receptor staining was done by immunohistochemistry. All tumours with DAKO 2+ staining were submitted for HER-2 detection by FISH analysis. HER-2 was defined as positive if DAKO 3+ or FISH positive. We assessed the frequency of HER-2 positivity in each of 6 quantiles for all parameters of body composition and tested for a trend in HER-2 expression across the 6 quantiles. Furthermore, we investigated whether BMI contributed, together with other known predictors for HER-2, in a standard multivariate logistic regression model that predicts HER-2 over-expression. RESULTS: There is a decrease in HER-2 over-expression per increasing quantile of BMI. In a multivariate model-including both steroid receptors-BMI remains an independent predictor for HER-2 over-expression. CONCLUSION: In women over age 50 or with known postmenopausal status with an operable breast cancer, there is an inverse association between BMI and HER-2 over-expression.
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