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Signaling pathway screening platforms are an efficient approach to identify therapeutic targets in precision-medicine oriented early phase clinical trials

Pedro Torres-Ayuso, Sudhakar Sahoo, Melanie Galvin, Hui Sun Leong, Kristopher K Frese, Andrew Hughes, Richard Marais, Caroline Dive, Matthew G Krebs, John Brognard
doi: https://doi.org/10.1101/254342
1Signalling Networks in Cancer Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
7Signaling Networks in Cancer Section, Laboratory of Cell and Developmental Signaling, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702
Sudhakar Sahoo
2Computational Biology Support Team, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
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Melanie Galvin
3Clinical and Experimental Pharmacology Group; Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK;
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Hui Sun Leong
2Computational Biology Support Team, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
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Kristopher K Frese
3Clinical and Experimental Pharmacology Group; Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK;
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Andrew Hughes
4Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester and Experimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, M20 4BX, UK;
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Richard Marais
5Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK;
6Cancer Research UK Manchester Experimental Cancer Medicines Centre, The University of Manchester, Manchester M20 4BX, UK;
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Caroline Dive
3Clinical and Experimental Pharmacology Group; Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK;
6Cancer Research UK Manchester Experimental Cancer Medicines Centre, The University of Manchester, Manchester M20 4BX, UK;
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Matthew G Krebs
4Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester and Experimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, M20 4BX, UK;
6Cancer Research UK Manchester Experimental Cancer Medicines Centre, The University of Manchester, Manchester M20 4BX, UK;
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John Brognard
1Signalling Networks in Cancer Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester M20 4BX, UK
7Signaling Networks in Cancer Section, Laboratory of Cell and Developmental Signaling, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702
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  • For correspondence: john.brognard@nih.gov
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Abstract

Precision medicine aims to tailor cancer therapies to target specific tumorpromoting aberrations. For tumors that lack actionable drivers, extensive molecular characterization and pre-clinical drug efficacy studies will be required to match patients with the appropriate targeted therapy. A cell line maintained at low passage and a patient-derived xenograft model (PDX) were generated using a fresh biopsy from a patient with a poorly-differentiated neuroendocrine tumor of unknown primary origin. Next-generation sequencing, high throughput signaling network analysis, and drug efficacy trials were then conducted to identify actionable targets for therapeutic intervention. No actionable mutations were identified after whole exome sequencing of the patient’s DNA; however, whole genome sequencing revealed amplification of the 3q and 5p chromosomal arms, that include the PIK3CA and RICTOR genes, respectively. Consistent with amplification of these genes, pathway analysis revealed activation of the AKT pathway. Based on this analysis, efficacy of PIK3CA and AKT inhibitors were evaluated in the tumor biopsy-derived cell culture and PDX, and response to the AKT inhibitor AZD5363 was observed both in vitro and in vivo indicating the patient would benefit from targeted therapies directed against the serine/threonine kinase AKT. In conclusion, our study demonstrates that high throughput signaling pathway analysis complements next-generation sequencing approaches for detection of actionable alterations and will aid in patient stratification into early-phase clinical trials.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted January 26, 2018.
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Signaling pathway screening platforms are an efficient approach to identify therapeutic targets in precision-medicine oriented early phase clinical trials
Pedro Torres-Ayuso, Sudhakar Sahoo, Melanie Galvin, Hui Sun Leong, Kristopher K Frese, Andrew Hughes, Richard Marais, Caroline Dive, Matthew G Krebs, John Brognard
bioRxiv 254342; doi: https://doi.org/10.1101/254342
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Signaling pathway screening platforms are an efficient approach to identify therapeutic targets in precision-medicine oriented early phase clinical trials
Pedro Torres-Ayuso, Sudhakar Sahoo, Melanie Galvin, Hui Sun Leong, Kristopher K Frese, Andrew Hughes, Richard Marais, Caroline Dive, Matthew G Krebs, John Brognard
bioRxiv 254342; doi: https://doi.org/10.1101/254342

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