The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic
MOC is a rare histotype of epithelial ovarian cancer, and current management options are inadequate for the treatment of late stage or recurrent disease. A shift towards personalised medicines in ovarian cancer is being observed, with trials targeting specific molecular pathways, however, MOC lags d...
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oai:doaj.org-article:0791ac7552304fc39602d787ea7987a22021-11-25T17:01:04ZThe Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic10.3390/cancers132255962072-6694https://doaj.org/article/0791ac7552304fc39602d787ea7987a22021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5596https://doaj.org/toc/2072-6694MOC is a rare histotype of epithelial ovarian cancer, and current management options are inadequate for the treatment of late stage or recurrent disease. A shift towards personalised medicines in ovarian cancer is being observed, with trials targeting specific molecular pathways, however, MOC lags due to its rarity. Theranostics is a rapidly evolving category of personalised medicine, encompassing both a diagnostic and therapeutic approach by recognising targets that are expressed highly in tumour tissue in order to deliver a therapeutic payload. The present review evaluates the protein landscape of MOC in recent immunohistochemical- and proteomic-based research, aiming to identify potential candidates for theranostic application. Fourteen proteins were selected based on cell membrane localisation: HER2, EGFR, FOLR1, RAC1, GPR158, CEACAM6, MUC16, PD-L1, NHE1, CEACAM5, MUC1, ACE2, GP2, and PTPRH. Optimal proteins to target using theranostic agents must exhibit high membrane expression on cancerous tissue with low expression on healthy tissue to afford improved disease outcomes with minimal off-target effects and toxicities. We provide guidelines to consider in the selection of a theranostic target for MOC and suggest future directions in evaluating the results of this review.Arkan YoussefMohammad B. HaskaliKylie L. GorringeMDPI AGarticlemucinous ovarian cancertheranosticstargeted therapypersonalised medicineNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5596, p 5596 (2021) |
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mucinous ovarian cancer theranostics targeted therapy personalised medicine Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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mucinous ovarian cancer theranostics targeted therapy personalised medicine Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Arkan Youssef Mohammad B. Haskali Kylie L. Gorringe The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
description |
MOC is a rare histotype of epithelial ovarian cancer, and current management options are inadequate for the treatment of late stage or recurrent disease. A shift towards personalised medicines in ovarian cancer is being observed, with trials targeting specific molecular pathways, however, MOC lags due to its rarity. Theranostics is a rapidly evolving category of personalised medicine, encompassing both a diagnostic and therapeutic approach by recognising targets that are expressed highly in tumour tissue in order to deliver a therapeutic payload. The present review evaluates the protein landscape of MOC in recent immunohistochemical- and proteomic-based research, aiming to identify potential candidates for theranostic application. Fourteen proteins were selected based on cell membrane localisation: HER2, EGFR, FOLR1, RAC1, GPR158, CEACAM6, MUC16, PD-L1, NHE1, CEACAM5, MUC1, ACE2, GP2, and PTPRH. Optimal proteins to target using theranostic agents must exhibit high membrane expression on cancerous tissue with low expression on healthy tissue to afford improved disease outcomes with minimal off-target effects and toxicities. We provide guidelines to consider in the selection of a theranostic target for MOC and suggest future directions in evaluating the results of this review. |
format |
article |
author |
Arkan Youssef Mohammad B. Haskali Kylie L. Gorringe |
author_facet |
Arkan Youssef Mohammad B. Haskali Kylie L. Gorringe |
author_sort |
Arkan Youssef |
title |
The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
title_short |
The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
title_full |
The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
title_fullStr |
The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
title_full_unstemmed |
The Protein Landscape of Mucinous Ovarian Cancer: Towards a Theranostic |
title_sort |
protein landscape of mucinous ovarian cancer: towards a theranostic |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/0791ac7552304fc39602d787ea7987a2 |
work_keys_str_mv |
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