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Gene Expression Profile Aids in Predicting Risk of Cancer Spread in Node-Negative Breast Cancer Patients

03/01/2005

According to a recent article published in the Lancet, a gene expression profile including 76 genes has been identified that can help predict the risk of distant metastasis in patients with node-negative breast cancer. Results from this profile may help aid patients and physicians in treatment decisions, as a large portion of patients with this disease are treated unnecessarily.

Breast cancer is diagnosed in approximately 250,000 women annually in the United States alone. Node-negative breast cancer, or cancer that has not spread from its site of origin, is highly curable with standard therapeutic approaches. Treatment typically includes the surgical removal of the cancer, followed by chemotherapy and/or hormone therapy. However, current research indicates that approximately 60%-70% of patients with this stage of disease receive more treatment than necessary for their individual case, as they are cured following surgery alone. These patients experience side effects caused by chemotherapy or hormone therapy, with no gain in outcomes. Researchers are evaluating ways to determine which patients will derive benefit from additional therapy and which patients are being over-treated. One test already approved by the FDA is Oncotype DX?, which analyzes genetic sequences in patients with early, hormone-positive breast cancer. This test can help to categorize patients into low, intermediate, or high risk of developing a cancer recurrence following surgery and the use of the anti-estrogen agent tamoxifen. Patients at a high risk of developing a recurrence according to Oncotype DX? have improved survival with chemotherapy, whereas those at a low risk do not derive much benefit from extra therapy. Researchers continue to evaluate different genetic or protein sequences or profiles, in an attempt to determine the most accurate profiles to aid in the treatment for patients.

Researchers from the Netherlands recently conducted a clinical trial in an attempt to identify an additional gene expression profile that was accurate in predicting outcomes in patients with node-negative breast cancer. This study included samples from cancer of 286 patients who had not received chemotherapy and/or hormone therapy and who were followed for approximately 5 years. A gene signature including 76 genes (60 genes for hormone-positive breast cancer and 16 genes for hormone-negative cancer) was identified that accurately predicted 93% of patients who developed distant metastasis (cancer spread to distant sites in the body) within 5 years. Overall, patients with the identified profile had an approximately 6-fold risk of developing distant metastasis within 5 years compared to their counterparts.

The researchers concluded that newly identified gene-expression profile appears to quite accurately predict which patients with node-negative breast cancer will develop distant metastasis within 5 years if they do not receive systemic therapy. Patients at a high risk may wish to pursue aggressive systemic therapies, whereas those at a low risk may not benefit from the additional therapy. Future studies are necessary to confirm the effectiveness of this 76-gene expression profile. Patients with node-negative breast cancer may wish to speak with their physician regarding the risks and benefits of gene-expression profiling, or the participation in a clinical trial further evaluating gene-expression profiling. Two sources of information regarding ongoing clinical trials include the National Cancer Institute (cancer.gov) and www.cancerconsultants.com. Personalized clinical trial searches are also performed on behalf of patients at cancerconsultants.com.

Reference: Wang Y, Klign J, Zhang Y, et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. The Lancet. 2005; 365: 671-79.


Source :
http://www.komen.org/intradoc-cgi/idc_cgi_isapi.dll?IdcService=SS_GET_PAGE&nodeId=328&XMLFile=breast_mar05_1&XSLFile=ccArticleXSLT&useSecondary=true


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