ER-positive breast cancer presents differing metabolic signatures in African American, white women

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ER-positive breast cancer presents differing metabolic signatures in African American, white women
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New research has found that estrogen receptor-positive breast cancer presents differing metabolic signatures in the blood of African American women and non-Hispanic white women.

New research found the most common form of breast cancer presents differing metabolic signatures in the blood of African American women with estrogen receptor-positive breast cancer compared with non-Hispanic white women. The scientists also identified a protein -- negative elongation factor complex E -- that was linked with higher mortality rates among African American women with estrogen receptor-positive breast cancer.

"Although the tumors are often caught at earlier stages, patients from lower-income neighborhoods such as Chicago's South Side are more likely to have poor outcomes. That suggests there are some biological factors driving these differing effects," she said. The team analyzed 83 metabolites in the women's blood and found that African American women with ER-positive breast cancer had decreased circulating levels of amino acids -- including the antioxidant methionine -- compared with women in the healthy control group. Conversely, non-Hispanic white patients with the disease had significantly higher levels of fatty acids compared with African American women and those in the healthy control group.

"Using the Pan-Cancer Atlas, a database of 33,000 tumors classified by genetic similarity maintained by the Cancer Genome Atlas Program, we mapped the metabolites to epigenetic regulatory systems," said Santaliz-Casiano, currently a postdoctoral researcher at the National Cancer Institute in the National Institutes of Health.

"These metabolic differences might suggest that there would be different screening strategies that could identify worse types of breast cancers," Madak-Erdogan said."These assays might enable earlier diagnosis based on patients' blood. I imagine that it would not be difficult to design a cost-effective blood test for this purpose.

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