New metabolic vulnerabilities of subsets of triple-negative breast cancer discovered

New metabolic vulnerabilities of subsets of triple-negative breast cancer discovered

Researchers have identified a metabolic enzyme and pathway in some triple-negative breast cancer (TNBC) patients, which they hope could serve as a biomarker to select patients to receive targeted therapy.

Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer, disproportionally affecting young Black women. The disease metastasizes quickly with high relapse and mortality rates.

Our work shows that a fraction of TNBC with high expression of dihydrolipoamide S-Succinyltransferase (DLST), a metabolic enzyme, in their tumor cells depends on the TCA-cycle for survival. Hence, DLST expression could serve as the biomarker to select TNBC patients to receive CPI-613, a drug currently in clinical trial for treating other cancers."

Hui Feng, MD, PhD, corresponding author, associate professor of pharmacology and medicine at Boston University School of Medicine

Researchers in the Feng lab analyzed human patient TNBC samples, human cell lines, including those injected into animals to define the contribution of DLST to TNBC pathogenesis. Comprehensive biochemical and molecular assays were also utilized to understand the metabolic and molecular properties of TNBC cells.

"Due to current challenges in treating triple-negative breast cancer, our studies suggest that a fraction of patients with aggressive tumors can benefit from CPI-613, a drug disrupting the TCA cycle if their tumor cells have high DLST expression," said Feng.

Source:

Boston University School of Medicine

Journal reference:

Shen, N., et al. (2021) DLST-dependence dictates metabolic heterogeneity in TCA-cycle usage among triple negative breast cancer . Communications Biology. doi.org/10.1038/s42003-021-02805-8.

Posted in: Medical Science News | Medical Research News | Women's Health News

Tags: Biomarker, Breast Cancer, Cancer, Cell, Clinical Trial, Enzyme, Leukemia, Medicine, Mortality, Oncology, Pharmacology, Research, Tumor

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