Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82741
Title: Precision oncology : oncogenic stat3 signalling in brain tumours
Authors: Tan, Melanie Si Yan
Keywords: Science::Biological sciences::Human anatomy and physiology::Neurobiology
Science::Biological sciences::Molecular biology
Issue Date: 2019
Source: Tan, M. S. Y. (2019). Precision oncology : oncogenic stat3 signalling in brain tumours. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Brain tumour patients diagnosed with grade IV glioblastoma often show dismal prognosis despite the standard of care chemo- and radiation therapies. The Cancer Genome Atlas effort demonstrated that transcriptomic profiles distinguish three glioma-intrinsic subtypes, each with unique genetic aberrations and prognosis. While significant effort has been made to characterize glioblastomas based on their molecular content, functional or biological validation remains lacking. STAT3 activation represents the final molecular switch that precedes transition into the highly aggressive, recurrent mesenchymal subtype. Furthermore, there are several STAT3 small molecule inhibitors in clinical trials for solid malignancies. Our work provides an insight into STAT3 stratification in GBM using our unique STAT3 functionally-tuned gene signature. We show that this gene signature stratifies GBM patients, and is not confounded by current clinical and molecular classification. To provide preclinical evidence that stratification leads to more effective STAT3-targeted treatment outcomes, we applied this signature to our collection of tumour cells with matched primary and xenograft tumour molecular information. We identified STAT3-sensitive and -resistant tumours, and validated STAT3 dependence in vitro using pharmacologically-treated and genetically manipulated, matched GBM cells. We validated responsiveness to STAT3 inhibition through in vitro and animal experimentation. Importantly, by analysing up-regulated genes in the STAT3-resistant profile, corroborated by our kinome screen data, dual inhibition of IGF-1R and STAT3 presents a viable strategy to sensitize this cohort. Our study highlights the importance of patient stratification for the utility of STAT3 inhibitors in GBM. This represents a new paradigm challenging the current use of morphological methods such as histology to diagnose and subsequently treat patients.
URI: https://hdl.handle.net/10356/82741
http://hdl.handle.net/10220/49094
DOI: 10.32657/10220/49094
Schools: School of Biological Sciences 
Organisations: National Neuroscience Institute
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Theses

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