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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...

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Autores principales: Trinidad, Camille, Pathak, Harsh, Cheng, Shibo, Tzeng, Shin-Cheng, Madan, Rashna, Sardiu, Mihaela, Bantis, Leonidas, Deighan, Clayton, Jewell, Andrea, Zeng, Yong, Godwin, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187430/
https://www.ncbi.nlm.nih.gov/pubmed/37205573
http://dx.doi.org/10.21203/rs.3.rs-2814022/v1
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author Trinidad, Camille
Pathak, Harsh
Cheng, Shibo
Tzeng, Shin-Cheng
Madan, Rashna
Sardiu, Mihaela
Bantis, Leonidas
Deighan, Clayton
Jewell, Andrea
Zeng, Yong
Godwin, Andrew
author_facet Trinidad, Camille
Pathak, Harsh
Cheng, Shibo
Tzeng, Shin-Cheng
Madan, Rashna
Sardiu, Mihaela
Bantis, Leonidas
Deighan, Clayton
Jewell, Andrea
Zeng, Yong
Godwin, Andrew
author_sort Trinidad, Camille
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 85–98% in a case-control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% (99.8% specificity). These lineage-associated exo-biomarkers have potential to detect cancer while localized to the FT when patient outcomes are more favorable.
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spelling pubmed-101874302023-05-17 Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer Trinidad, Camille Pathak, Harsh Cheng, Shibo Tzeng, Shin-Cheng Madan, Rashna Sardiu, Mihaela Bantis, Leonidas Deighan, Clayton Jewell, Andrea Zeng, Yong Godwin, Andrew Res Sq 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 85–98% in a case-control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% (99.8% specificity). These lineage-associated exo-biomarkers have potential to detect cancer while localized to the FT when patient outcomes are more favorable. American Journal Experts 2023-05-03 /pmc/articles/PMC10187430/ /pubmed/37205573 http://dx.doi.org/10.21203/rs.3.rs-2814022/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Trinidad, Camille
Pathak, Harsh
Cheng, Shibo
Tzeng, Shin-Cheng
Madan, Rashna
Sardiu, Mihaela
Bantis, Leonidas
Deighan, Clayton
Jewell, Andrea
Zeng, Yong
Godwin, Andrew
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/PMC10187430/
https://www.ncbi.nlm.nih.gov/pubmed/37205573
http://dx.doi.org/10.21203/rs.3.rs-2814022/v1
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