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Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer
High grade serous ovarian carcinoma (HGSOC) accounts for ~ 70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. Since most HGSOCs typically arise from the fallopian tube...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603107/ https://www.ncbi.nlm.nih.gov/pubmed/37884576 http://dx.doi.org/10.1038/s41598-023-44050-5 |
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author | Trinidad, Camille V. Pathak, Harsh B. Cheng, Shibo Tzeng, Shin-Cheng Madan, Rashna Sardiu, Mihaela E. Bantis, Leonidas E. Deighan, Clayton Jewell, Andrea Rayamajhi, Sagar Zeng, Yong Godwin, Andrew K. |
author_facet | Trinidad, Camille V. Pathak, Harsh B. Cheng, Shibo Tzeng, Shin-Cheng Madan, Rashna Sardiu, Mihaela E. Bantis, Leonidas E. Deighan, Clayton Jewell, Andrea Rayamajhi, Sagar Zeng, Yong Godwin, Andrew K. |
author_sort | Trinidad, Camille V. |
collection | PubMed |
description | High grade serous ovarian carcinoma (HGSOC) accounts for ~ 70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. Since most HGSOCs typically arise from the fallopian tubes (FT), our biomarker search focused on proteins found on the surface of extracellular vesicles (EVs) released by both FT and HGSOC tissue explants and representative cell lines. Using mass spectrometry, 985 EV proteins (exo-proteins) were identified that comprised the FT/HGSOC EV core proteome. Transmembrane exo-proteins were prioritized because these could serve as antigens for capture and/or detection. With a nano-engineered microfluidic platform, six newly discovered exo-proteins (ACSL4, IGSF8, ITGA2, ITGA5, ITGB3, MYOF) plus a known HGSOC associated protein, FOLR1 exhibited classification performance ranging from 85 to 98% in a case–control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by a linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% with 99.8% specificity and a positive predictive value of 13.8%. Importantly, these exo-proteins also can accurately discriminate between ovarian and 12 types of cancers commonly diagnosed in women. Our studies demonstrate that these lineage-associated exo-biomarkers can detect ovarian cancer with high specificity and sensitivity early and potentially while localized to the FT when patient outcomes are more favorable. |
format | Online Article Text |
id | pubmed-10603107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106031072023-10-28 Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer Trinidad, Camille V. Pathak, Harsh B. Cheng, Shibo Tzeng, Shin-Cheng Madan, Rashna Sardiu, Mihaela E. Bantis, Leonidas E. Deighan, Clayton Jewell, Andrea Rayamajhi, Sagar Zeng, Yong Godwin, Andrew K. Sci Rep Article High grade serous ovarian carcinoma (HGSOC) accounts for ~ 70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. Since most HGSOCs typically arise from the fallopian tubes (FT), our biomarker search focused on proteins found on the surface of extracellular vesicles (EVs) released by both FT and HGSOC tissue explants and representative cell lines. Using mass spectrometry, 985 EV proteins (exo-proteins) were identified that comprised the FT/HGSOC EV core proteome. Transmembrane exo-proteins were prioritized because these could serve as antigens for capture and/or detection. With a nano-engineered microfluidic platform, six newly discovered exo-proteins (ACSL4, IGSF8, ITGA2, ITGA5, ITGB3, MYOF) plus a known HGSOC associated protein, FOLR1 exhibited classification performance ranging from 85 to 98% in a case–control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by a linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% with 99.8% specificity and a positive predictive value of 13.8%. Importantly, these exo-proteins also can accurately discriminate between ovarian and 12 types of cancers commonly diagnosed in women. Our studies demonstrate that these lineage-associated exo-biomarkers can detect ovarian cancer with high specificity and sensitivity early and potentially while localized to the FT when patient outcomes are more favorable. Nature Publishing Group UK 2023-10-26 /pmc/articles/PMC10603107/ /pubmed/37884576 http://dx.doi.org/10.1038/s41598-023-44050-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Trinidad, Camille V. Pathak, Harsh B. Cheng, Shibo Tzeng, Shin-Cheng Madan, Rashna Sardiu, Mihaela E. Bantis, Leonidas E. Deighan, Clayton Jewell, Andrea Rayamajhi, Sagar Zeng, Yong Godwin, Andrew K. Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title | Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title_full | Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title_fullStr | Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title_full_unstemmed | Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title_short | Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
title_sort | lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603107/ https://www.ncbi.nlm.nih.gov/pubmed/37884576 http://dx.doi.org/10.1038/s41598-023-44050-5 |
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