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Aleksic T, Gray N, Wu X, Rieunier G, Osher E, Mills J, Verrill C, Bryant RJ, Han C, Hutchinson K, Lambert AG, Kumar R, Hamdy FC, Weyer-Czernilofsky U, Sanderson MP, Bogenrieder T, Taylor S, Macaulay VM. Nuclear IGF1R Interacts with Regulatory Regions of Chromatin to Promote RNA Polymerase II Recruitment and Gene Expression Associated with Advanced Tumor Stage. Cancer Res 2018; 78:3497-3509. [PMID: 29735545 PMCID: PMC6031306 DOI: 10.1158/0008-5472.can-17-3498] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 03/28/2018] [Accepted: 04/26/2018] [Indexed: 01/02/2023]
Abstract
Internalization of ligand-activated type I IGF receptor (IGF1R) is followed by recycling to the plasma membrane, degradation or nuclear translocation. Nuclear IGF1R reportedly associates with clinical response to IGF1R inhibitory drugs, yet its role in the nucleus is poorly characterized. Here, we investigated the significance of nuclear IGF1R in clinical cancers and cell line models. In prostate cancers, IGF1R was predominantly membrane localized in benign glands, while malignant epithelium contained prominent internalized (nuclear/cytoplasmic) IGF1R, and nuclear IGF1R associated significantly with advanced tumor stage. Using ChIP-seq to assess global chromatin occupancy, we identified IGF1R-binding sites at or near transcription start sites of genes including JUN and FAM21, most sites coinciding with occupancy by RNA polymerase II (RNAPol2) and histone marks of active enhancers/promoters. IGF1R was inducibly recruited to chromatin, directly binding DNA and interacting with RNAPol2 to upregulate expression of JUN and FAM21, shown to mediate tumor cell survival and IGF-induced migration. IGF1 also enriched RNAPol2 on promoters containing IGF1R-binding sites. These functions were inhibited by IGF1/II-neutralizing antibody xentuzumab (BI 836845), or by blocking receptor internalization. We detected IGF1R on JUN and FAM21 promoters in fresh prostate cancers that contained abundant nuclear IGF1R, with evidence of correlation between nuclear IGF1R content and JUN expression in malignant prostatic epithelium. Taken together, these data reveal previously unrecognized molecular mechanisms through which IGFs promote tumorigenesis, with implications for therapeutic evaluation of anti-IGF drugs.Significance: These findings reveal a noncanonical nuclear role for IGF1R in tumorigenesis, with implications for therapeutic evaluation of IGF inhibitory drugs. Cancer Res; 78(13); 3497-509. ©2018 AACR.
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Affiliation(s)
- Tamara Aleksic
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Nicki Gray
- Computational Biology Research Group, University of Oxford, Weatherall Institute of Molecular Medicine, Oxford, United Kingdom
| | - Xiaoning Wu
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | | | - Eliot Osher
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Jack Mills
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Clare Verrill
- Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Richard J Bryant
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Cheng Han
- Department of Oncology, University of Oxford, Oxford, United Kingdom
- Oxford Cancer and Haematology Centre, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, United Kingdom
| | | | - Adam G Lambert
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Rajeev Kumar
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | | | | | - Thomas Bogenrieder
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
- Department of Urology, University Hospital Grosshadern, Ludwig-Maximilians-University, Marchioninistrasse, Munich, Germany
| | - Stephen Taylor
- Computational Biology Research Group, University of Oxford, Weatherall Institute of Molecular Medicine, Oxford, United Kingdom
| | - Valentine M Macaulay
- Department of Oncology, University of Oxford, Oxford, United Kingdom.
- Oxford Cancer and Haematology Centre, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, United Kingdom
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The genetic basis of natural variation in mushroom body size in Drosophila melanogaster. Nat Commun 2015; 6:10115. [PMID: 26656654 PMCID: PMC4682101 DOI: 10.1038/ncomms10115] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 11/04/2015] [Indexed: 11/30/2022] Open
Abstract
Genetic variation in brain size may provide the basis for the evolution of the brain and complex behaviours. The genetic substrate and the selective pressures acting on brain size are poorly understood. Here we use the Drosophila Genetic Reference Panel to map polymorphic variants affecting natural variation in mushroom body morphology. We identify 139 genes and 39 transcription factors and confirm effects on development and adult plasticity. We show correlations between morphology and aggression, sleep and lifespan. We propose that natural variation in adult brain size is controlled by interaction of the environment with gene networks controlling development and plasticity. The mushroom bodies (MBs) in an insect brain integrate and process sensory information. Using fully sequenced/inbred lines of the Drosophila Genetic Reference Panel, this study performs genome wide association analyses and identifies candidate genes affecting MB size, and uses RNAi to functionally validate the identified loci.
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