Liao, Chengheng’s team published research in Cancer Research in 2022-02-15 | 112-63-0

Cancer Research published new progress about Biomarkers. 112-63-0 belongs to class esters-buliding-blocks, and the molecular formula is C19H34O2, Electric Literature of 112-63-0.

Liao, Chengheng; Glodowski, Cherise Ryan; Fan, Cheng; Liu, Juan; Mott, Kevin R.; Kaushik, Akash; Vu, Hieu; Locasale, Jason W.; McBrayer, Samuel K.; DeBerardinis, Ralph J.; Perou, Charles M.; Zhang, Qing published the artcile< Integrated metabolic profiling and transcriptional analysis reveals therapeutic modalities for targeting rapidly proliferating breast cancers>, Electric Literature of 112-63-0, the main research area is metabolomics transcriptional analysis therapeutic modality triple neg breast cancer.

Metabolic dysregulation is a prominent feature in breast cancer, but it remains poorly characterized in patient tumors. In this study, untargeted metabolomics anal. of triple-neg. breast cancer (TNBC) and patient with estrogen receptor (ER)-pos. breast cancer samples, as well as TNBC patient-derived xenografts (PDX), revealed two major metabolic groups independent of breast cancer histol. subtypes: a “”Nucleotide/Carbohydrate-Enriched”” group and a “”Lipid/Fatty Acid-Enriched”” group. Cell lines grown in vivo more faithfully recapitulated the metabolic profiles of patient tumors compared with those grown in vitro. Integrated metabolic and gene expression analyzes identified genes that strongly correlate with metabolic dysregulation and predict patient prognosis. As a proof of principle, targeting Nucleotide/Carbohydrate-Enriched TNBC cell lines or PDX xenografts with a pyrimidine biosynthesis inhibitor or a glutaminase inhibitor led to therapeutic efficacy. In multiple in vivo models of TNBC, treatment with the pyrimidine biosynthesis inhibitor conferred better therapeutic outcomes than chemotherapeutic agents. This study provides a metabolic stratification of breast tumor samples that can guide the selection of effective therapeutic strategies targeting breast cancer subsets. In addition, we have developed a public, interactive data visualization portal based on the data generated from this study to facilitate future research.

Cancer Research published new progress about Biomarkers. 112-63-0 belongs to class esters-buliding-blocks, and the molecular formula is C19H34O2, Electric Literature of 112-63-0.

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