Evidence map›Paper›PMID 31240259›Full record

ArticleCommunications biology2019

High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancer.

Stefan Enroth, Malin Berggrund, Maria Lycke, John Broberg, Martin Lundberg, Erika Assarsson, Matts Olovsson, Karin Stålberg, Karin Sundfeldt, Ulf Gyllensten

Registry-linked trialOpen access · goldAbstract readValidation Study
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06445621 (Early Detection of Relapse in Ovarian Cancer Using Capillary Home-sampling and a Multiplex Protein Biomarker Test - a Pilot Study), which is not on this map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
18.2field-weighted citation impact, top 1% 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.

NCT06445621 unknown statusnot on this mapstarted 2024, after this paper: background citation

Early Detection of Relapse in Ovarian Cancer Using Capillary Home-sampling and a Multiplex Protein Biomarker Test - a Pilot Study

TypeobservationalSponsorUppsala University HospitalRan2024 to 2026Enrolled125ConditionsOvarian Cancer, Fallopian Tube Cancer, Peritoneal Cancer
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 120 citations in OpenAlex.

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  18. Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses.Journal of the American Society for Mass Spectrometry · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Stefan Enroth *1Department of Immunology, Genetics, and Pathology, Biomedical Center, Science for Life Laboratory (SciLifeLab) Uppsala, Box 815, Uppsala University, SE-75108 Uppsala, Sweden.ORCID 0000-0002-5056-9137
Malin Berggrund *1Department of Immunology, Genetics, and Pathology, Biomedical Center, Science for Life Laboratory (SciLifeLab) Uppsala, Box 815, Uppsala University, SE-75108 Uppsala, Sweden.ORCID 0000-0003-3445-6551
Maria Lycke2Department of Obstetrics and Gynaecology, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.
John BrobergOLINK Proteomics, Uppsala Science Park, SE-751 83 Uppsala, Sweden.
Martin LundbergOLINK Proteomics, Uppsala Science Park, SE-751 83 Uppsala, Sweden.
Erika AssarssonOLINK Proteomics, Uppsala Science Park, SE-751 83 Uppsala, Sweden.
Matts Olovsson4Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Karin Stålberg4Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Karin Sundfeldt2Department of Obstetrics and Gynaecology, Institute of Clinical Sciences, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.
Ulf Gyllensten1Department of Immunology, Genetics, and Pathology, Biomedical Center, Science for Life Laboratory (SciLifeLab) Uppsala, Box 815, Uppsala University, SE-75108 Uppsala, Sweden.
Uppsala University · SEOlink Bioscience (Sweden) · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is usually detected at a late stage and the overall 5-year survival is only 30-40%. Additional means for early detection and improved diagnosis are acutely needed. To search for novel biomarkers, we compared circulating plasma levels of 593 proteins in three cohorts of patients with ovarian cancer and benign tumors, using the proximity extension assay (PEA). A combinatorial strategy was developed for identification of different multivariate biomarker signatures. A final model consisting of 11 biomarkers plus age was developed into a multiplex PEA test reporting in absolute concentrations. The final model was evaluated in a fourth independent cohort and has an AUC = 0.94, PPV = 0.92, sensitivity = 0.85 and specificity = 0.93 for detection of ovarian cancer stages I-IV. The novel plasma protein signature could be used to improve the diagnosis of women with adnexal ovarian mass or in screening to identify women that should be referred to specialized examination.

Indexed as

AgedAge FactorsBiomarkers, TumorCohort StudiesFemaleHigh-Throughput Screening AssaysHumansMachine LearningMiddle AgedNeoplasm StagingOvarian NeoplasmsProof of Concept StudyProteomicsSensitivity and SpecificityBiomarkers, TumorDiagnostic markersMachine learningOvarian cancer

Identifiers

PMID31240259
PMCPMC6586828
OpenAlexW2952624934

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.