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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Autores principales: Arkan Youssef, Mohammad B. Haskali, Kylie L. Gorringe
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0791ac7552304fc39602d787ea7987a2
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic mucinous ovarian cancer
theranostics
targeted therapy
personalised medicine
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle 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
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