Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer

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作者
Camille V. Trinidad
Harsh B. Pathak
Shibo Cheng
Shin-Cheng Tzeng
Rashna Madan
Mihaela E. Sardiu
Leonidas E. Bantis
Clayton Deighan
Andrea Jewell
Sagar Rayamajhi
Yong Zeng
Andrew K. Godwin
机构
[1] University of Kansas Medical Center,Department of Microbiology, Molecular Genetics and Immunology
[2] The University of Kansas Medical Center,Department of Pathology and Laboratory Medicine
[3] University of Kansas Cancer Center,Kansas Institute for Precision Medicine
[4] University of Kansas Medical Center,Department of Chemistry
[5] University of Florida,Department of Biostatistics and Data Science
[6] The Donald Danforth Plant Science Center,Department of Obstetrics and Gynecology
[7] University of Kansas Medical Center,undefined
[8] NanoFCM,undefined
[9] University of Kansas Medical Center,undefined
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摘要
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.
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