Quantitative proteomics and transcriptomics reveals metabolic differences in attracting and non-attracting human-in-mouse glioma stem cell xenografts and stromal cells

• Main Authors: Norelle C. Wildburger, Cheryl F. Lichti, Richard D. LeDuc, Mary Schmidt, Roger A. Kroes, Joseph R. Moskal, Carol L. Nilsson
• Format: Article
• Language: English
• Published: Elsevier 2015-09-01
• Series: EuPA Open Proteomics
• Subjects: Glioblastoma; Bone marrow-derived human mesenchymal stem cells (BM-hMSCs); Mass spectrometry; Cancer proteomics; Transcriptomics; Fatty acid metabolism; Glycolysis; Pentose phosphate pathway; ROS; Glycosylation
• Online Access: http://www.sciencedirect.com/science/article/pii/S221296851530009X

Bone marrow-derived human mesenchymal stem cells (BM-hMSCs) show promise as cell-based delivery vehicles for anti-glioma therapeutics, due to innate tropism for gliomas. However, in clinically relevant human-in-mouse glioma stem cell xenograft models, BM-hMSCs tropism is variable. We compared the proteomic profile of cancer and stromal cells in GSCXs that attract BM-hMSCs (“attractors”) with those to do not (“non-attractors”) to identify pathways that may modulate BM-hMSC homing, followed by targeted transcriptomics. The results provide the first link between fatty acid metabolism, glucose metabolism, ROS, and N-glycosylation patterns in attractors. Reciprocal expression of these pathways in the stromal cells suggests microenvironmental cross-talk.