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Open Access Characterising Cancer Signalling Networks to improve treatment of poor prognosis human malignancies

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Perturbations in cellular signalling play a fundamental role in human cancer and provide the rationale for many targeted therapies. Recent advances in mass spectrometry (MS)-based proteomics allow global 'snapshots' to be taken of specific post-translational modifications, including protein phosphorylation, and thus provide systems-level insights into cellular signalling networks. Recognizing the potential of these approaches, Professor Daly's group has established cutting-edge technology platforms in MS-based phosphoproteomics and kinomics. The Signalling Network Laboratory's vision is to exploit these technologies to identify novel therapeutic targets and biomarkers for particular poor prognosis human cancers, including basal breast cancer and pancreatic cancer, through an integrated strategy that combines phosphoproteomic profiling of cancer subtypes and global interrogation of the human kinome with bioinformatics and functional genomics. This work will inform and refine the subclassification of particular cancers, identify novel therapeutic targets as well as new applications for existing therapies, and identify companion biomarkers that help stratify patients for appropriate therapy. Ultimately this work will lead to improved treatments for cancer patients with resulting reductions in morbidity and mortality.
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Keywords: BIOMARKER; CANCER; MASS SPECTROMETRY; PERSONALISED MEDICINE; PROTEIN KINASE; PROTEIN PHOSPHORYLATION; PROTEOMICS; SIGNAL TRANSDUCTION; SIGNALLING NETWORKS; TARGETED THERAPY

Document Type: Research Article

Publication date: October 1, 2017

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