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Title: | A STAT3-based gene signature stratifies glioma patients for targeted therapy | Authors: | Tan, M.S.Y. Sandanaraj, E. Chong, Y.K. Lim, S.W. Koh, L.W.H. Ng, W.H. Tan, N.S. Tan, P. Ang, B.T. Tang, C. |
Issue Date: | 2019 | Publisher: | Nature Publishing Group | Citation: | Tan, M.S.Y., Sandanaraj, E., Chong, Y.K., Lim, S.W., Koh, L.W.H., Ng, W.H., Tan, N.S., Tan, P., Ang, B.T., Tang, C. (2019). A STAT3-based gene signature stratifies glioma patients for targeted therapy. Nature Communications 10 (1) : 3601. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-019-11614-x | Rights: | Attribution 4.0 International | Abstract: | Intratumoral heterogeneity is a hallmark of glioblastoma (GBM) tumors, thought to negatively influence therapeutic outcome. Previous studies showed that mesenchymal tumors have a worse outcome than the proneural subtype. Here we focus on STAT3 as its activation precedes the proneural-mesenchymal transition. We first establish a STAT3 gene signature that stratifies GBM patients into STAT3-high and -low cohorts. STAT3 inhibitor treatment selectively mitigates STAT3-high cell viability and tumorigenicity in orthotopic mouse xenograft models. We show the mechanism underlying resistance in STAT3-low cells by combining STAT3 signature analysis with kinome screen data on STAT3 inhibitor-treated cells. This allows us to draw connections between kinases affected by STAT3 inhibitors, their associated transcription factors and target genes. We demonstrate that dual inhibition of IGF-1R and STAT3 sensitizes STAT3-low cells and improves survival in mice. Our study underscores the importance of serially profiling tumors so as to accurately target individuals who may demonstrate molecular subtype switching. © 2019, The Author(s). | Source Title: | Nature Communications | URI: | https://scholarbank.nus.edu.sg/handle/10635/206242 | ISSN: | 2041-1723 | DOI: | 10.1038/s41467-019-11614-x | Rights: | Attribution 4.0 International |
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