4.7 Article

A Systems Oncology Approach Identifies NT5E as a Key Metabolic Regulator in Tumor Cells and Modulator of Platinum Sensitivity

期刊

JOURNAL OF PROTEOME RESEARCH
卷 15, 期 1, 页码 280-290

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.5b00793

关键词

O2PLS; chemometrics; cancer; metabonomics; transcriptomics; data integration; chemotherapy; cisplatin resistance

资金

  1. Biotechnology and Biological Sciences Research Council(BBSRC)/AstraZeneca CASE award [BB/I532588/1]
  2. Medical Research Council (MRC) Advanced Masters Studentship [MR/J015938/1]
  3. Biotechnology and Biological Sciences Research Council [990095] Funding Source: researchfish
  4. Medical Research Council [1416810] Funding Source: researchfish

向作者/读者索取更多资源

Altered metabolism in tumor cells is required for rapid proliferation but also can influence other phenotypes that affect clinical outcomes such as metastasis and sensitivity to chemotherapy. Here, a genome-wide association study (GWAS)-guided integration of NCI-60 transcriptome and metabolome data identified ecto-5'-nucleotidase (NYSE or CD73) as a major determinant of metabolic phenotypes in cancer cells. NYSE expression and associated metabolome variations were also correlated with sensitivity to several chemotherapeutics including platinum-based treatment. NYSE mRNA levels were observed to be elevated in cells upon in vitro and in vivo acquisition of platinum resistance in ovarian cancer cells, and specific targeting of NYSE increased tumor cell sensitivity to platinum. We observed that tumor NT5E levels were prognostic for outcomes in ovarian cancer and were elevated after treatment with platinum, supporting the translational relevance of our findings. In this work, we integrated and analyzed a plethora of public data, demonstating the merit of such a systems oncology approach for the discovery of novel players in cancer biology and therapy. We experimentally validated the main findings of the NYSE gene being involved in both intrinsic and acquired resistance to platinum-based drugs. We propose that the efficacy of conventional chemotherapy could be improved by NYSE inhibition and that NYSE expression may be a useful prognostic and predictive clinical biomarker.

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