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Genetic information may help predict likelihood of survival following chemotherapy for breast cancer
Date:5/10/2011

Development of a predictive test that included genomic signatures that indicated chemoresistance, chemosensitivity and endocrine sensitivity for women with newly diagnosed breast cancer identified patients with a high probability of survival following chemotherapy, according to a study in the May 11 issue of JAMA.

Identification of patients with high likelihood of survival following a standard chemotherapy regimen (and then endocrine therapy, if estrogen receptor [ER]-positive) would reaffirm a treatment decision regarding the use of chemotherapy. "Conversely, identification of those with significant risk of relapse despite standard chemotherapy could be used to advise participation in an appropriate clinical trial of potentially more effective treatment," according to background information in the article.

Christos Hatzis, Ph.D., of Nuvera Biosciences Inc., Woburn, Mass., and colleagues conducted a study, from June 2000 to March 2010, to develop a predictor of response and survival from chemotherapy for patients with invasive breast cancer. Patients were those with newly diagnosed ERBB2 (HER2 or HER2/neu)-negative breast cancer treated with chemotherapy containing sequential taxane and anthracycline-based regimens (then endocrine therapy if estrogen receptor-positive). Different predictive signatures for resistance and response to preoperative chemotherapy were developed from gene expression microarrays (special type of testing) of newly diagnosed breast cancer (n = 310 patients). Breast cancer treatment sensitivity was predicted using the combination of signatures for sensitivity to endocrine therapy, chemoresistance, and chemosensitivity, with independent validation (198 patients) and comparison with other reported genomic predictors of chemotherapy response.

The researchers found that the chemopredictive test algorithm had a positive predictive value (PPV) of 56 percent for prediction of pathologic response after excluding
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Contact: Laura Sussman
lsussman@mdanderson.org
713-745-2457
JAMA and Archives Journals
Source:Eurekalert

Page: 1 2 3

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