Glutamine to proline conversion is associated with response to glutaminase inhibition in breast cancer

Introduction Glutaminase inhibitors target cancer cells by blocking the conversion of glutamine to glutamate, thereby potentially interfering with anaplerosis and synthesis of amino acids and glutathione. The drug CB-839 has shown promising effects in preclinical experiments and is currently undergo...

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Published inBreast cancer research : BCR Vol. 21; no. 1; pp. 61 - 13
Main Authors Grinde, Maria T., Hilmarsdottir, Bylgja, Tunset, Hanna Maja, Henriksen, Ida Marie, Kim, Jana, Haugen, Mads H., Rye, Morten Beck, Mælandsmo, Gunhild M., Moestue, Siver A.
Format Journal Article
LanguageEnglish
Published London BioMed Central 14.05.2019
BioMed Central Ltd
BMC
Subjects
VDP
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ISSN1465-542X
1465-5411
1465-542X
DOI10.1186/s13058-019-1141-0

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Summary:Introduction Glutaminase inhibitors target cancer cells by blocking the conversion of glutamine to glutamate, thereby potentially interfering with anaplerosis and synthesis of amino acids and glutathione. The drug CB-839 has shown promising effects in preclinical experiments and is currently undergoing clinical trials in several human malignancies, including triple-negative breast cancer (TNBC). However, response to glutaminase inhibitors is variable and there is a need for identification of predictive response biomarkers. The aim of this study was to determine how glutamine is utilized in two patient-derived xenograft (PDX) models of breast cancer representing luminal-like/ER+ (MAS98.06) and basal-like/triple-negative (MAS98.12) breast cancer and to explore the metabolic effects of CB-839 treatment. Experimental MAS98.06 and MAS98.12 PDX mice received CB-839 (200 mg/kg) or drug vehicle two times daily p.o. for up to 28 days ( n  = 5 per group), and the effect on tumor growth was evaluated. Expression of 60 genes and seven glutaminolysis key enzymes were determined using gene expression microarray analysis and immunohistochemistry (IHC), respectively, in untreated tumors. Uptake and conversion of glutamine were determined in the PDX models using HR MAS MRS after i.v. infusion of [5- 13 C] glutamine when the models had received CB-839 (200 mg/kg) or vehicle for 2 days ( n  = 5 per group). Results Tumor growth measurements showed that CB-839 significantly inhibited tumor growth in MAS98.06 tumors, but not in MAS98.12 tumors. Gene expression and IHC analysis indicated a higher proline synthesis from glutamine in untreated MAS98.06 tumors. This was confirmed by HR MAS MRS of untreated tumors demonstrating that MAS98.06 used glutamine to produce proline, glutamate, and alanine, and MAS98.12 to produce glutamate and lactate. In both models, treatment with CB-839 resulted in accumulation of glutamine. In addition, CB-839 caused depletion of alanine, proline, and glutamate ([1-13C] glutamate) in the MAS98.06 model. Conclusion Our findings indicate that TNBCs may not be universally sensitive to glutaminase inhibitors. The major difference in the metabolic fate of glutamine between responding MAS98.06 xenografts and non-responding MAS98.12 xenografts is the utilization of glutamine for production of proline. We therefore suggest that addiction to proline synthesis from glutamine is associated with response to CB-839 in breast cancer. Graphical abstract The effect of glutaminase inhibition in two breast cancer patient-derived xenograft (PDX) models. 13 C HR MAS MRS analysis of tumor tissue from CB-839-treated and untreated models receiving 13 C-labeled glutamine ([5- 13 C] Gln) shows that the glutaminase inhibitor CB-839 is causing an accumulation of glutamine (arrow up) in two PDX models representing luminal-like breast cancer (MAS98.06) and basal-like breast cancer (MAS98.12). In MAS98.06 tumors, CB-839 is in addition causing depletion of proline ([5- 13 C] Pro), alanine ([1- 13 C] Ala), and glutamate ([1- 13 C] Glu), which could explain why CB-839 causes tumor growth inhibition in MAS98.06 tumors, but not in MAS98.12 tumors.
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Data generated during this study are included in this published article and its additional files. Gene expression datasets analyzed during the current study are available in the Gene Expression Omnibus (GEO) repository, <a href=https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37543>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37543 , <a href=https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE44666>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE44666 .
ISSN:1465-542X
1465-5411
1465-542X
DOI:10.1186/s13058-019-1141-0