Evidence map›Paper›PMID 37884576›Full record

ArticleScientific reports2023

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

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

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  18. Prospects and challenges of tissue-derived extracellular vesicles.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Camille V TrinidadDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0003-3480-208X
Harsh B PathakDepartment of Pathology and Laboratory Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, MS 3040, Kansas City, KS, 66160, USA.ORCID 0000-0003-4034-0520
Shibo ChengDepartment of Chemistry, University of Florida, Gainesville, FL, USA.ORCID 0009-0002-2400-8245
Shin-Cheng TzengThe Donald Danforth Plant Science Center, St. Louis, MO, USA.ORCID 0000-0002-1095-7418
Rashna MadanDepartment of Pathology and Laboratory Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, MS 3040, Kansas City, KS, 66160, USA.
Mihaela E SardiuUniversity of Kansas Cancer Center, Kansas City, KS, USA.ORCID 0000-0002-3987-7569
Leonidas E BantisUniversity of Kansas Cancer Center, Kansas City, KS, USA.ORCID 0000-0002-2364-2562
Clayton DeighanNanoFCM, Nottingham, Nottinghamshire, UK.
Andrea JewellUniversity of Kansas Cancer Center, Kansas City, KS, USA.ORCID 0000-0002-4752-6662
Sagar RayamajhiDepartment of Pathology and Laboratory Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, MS 3040, Kansas City, KS, 66160, USA.
Yong ZengDepartment of Chemistry, University of Florida, Gainesville, FL, USA.
Andrew K GodwinDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, USA. agodwin@kumc.edu.ORCID 0000-0002-3987-9580
The University of Kansas Cancer Center · USUniversity of Kansas Medical Center · USUniversity of Florida · USDonald Danforth Plant Science Center · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Transgenic and Gener-Targeting CoreP20GM104936 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SAADI, IRFAN · 2012 to 2016
$10.9M
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered MicrosystemR01CA260132 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K., ZENG, YONG · 2021 to 2025
$3.4M
JEOL JEM-1400 Transmission Electron Microscope with AMT-XR611M Digital Camera SysS10RR027564 · NCRR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ABRAHAMSON, DALE R · 2010 to 2010
$418k
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA260132NCRR NIH HHS S10 RR027564NIGMS NIH HHS P20 GM104936NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

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.

Indexed as

Extracellular VesiclesOvarian NeoplasmsBiomarkers, TumorCase-Control StudiesEarly Detection of CancerFemaleFolate Receptor 1HumansBiomarkers, TumorFolate Receptor 1FOLR1 protein, human

Identifiers

PMID37884576
PMCPMC10603107
OpenAlexW4387966103

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.