Town, J, Pais, H, Harrison, S et al. (5 more authors) (2016) Exploring the surfaceome of Ewing sarcoma identifies a new and unique therapeutic target. Proceedings of the National Academy of Sciences, 113 (13).
Abstract
The cell surface proteome of tumours mediates the interface between the transformed cells and the general micro-environment including interactions with stromal cells in the tumour niche and immune cells such as T cells. In addition, the cell surface proteome of individual cancers defines biomarkers for that tumour type and potential proteins that can be the target of antibody-mediated therapy. We have used next generation deep RNA sequencing (RNA-seq) coupled to an in-house database of genes encoding cell surface proteins (herein referred to as the surfaceome) as a tool to define a cell surface proteome of Ewing sarcoma compared with progenitor mesenchymal stem cells. This subtractive RNA-seq analysis revealed a specific surfaceome of Ewing and showed unexpectedly that the leucine-rich repeat and immunoglobulin domain protein LINGO1 is expressed on over 90% of Ewing sarcoma tumours, but not expressed in any other somatic tissue apart from the brain. We found that the LINGO1 protein acts as a gateway protein internalizing into the tumour cells when engaged by antibody and can carry antibody conjugated with drugs to kill Ewing sarcoma cells. Therefore, LINGO1 is a novel, unique and specific biomarker and drug target for the treatment of Ewing sarcoma.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Town et al. Published by PNAS. This is an author produced version of a paper published in Proceedings of the National Academy of Sciences. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Ewing sarcoma; LINGO1; cell surface; antibody; cancer |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Mar 2016 12:45 |
Last Modified: | 11 Jun 2020 15:27 |
Published Version: | https://dx.doi.org/10.1073/pnas.1521251113 |
Status: | Published |
Publisher: | National Academy of Sciences |
Identification Number: | 10.1073/pnas.1521251113 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96297 |