Evidence map›Paper›PMID 40177982›Full record

ArticleInternational journal of cancer2025

Prospective evaluation of 92 protein biomarkers for early detection of endometrial cancer.

Victoria Cooley, Renée Turzanski Fortner, Trasias Mukama, Sabine Naudin, Valeria Pala, Laure Dossus, Inger T Gram, Karina Standahl Olsen, Maria-Jose Sánchez, Pernilla Israelsson and 3 more

Erratum issuedAbstract read
In one paragraph

Article in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Victoria CooleyDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Renée Turzanski FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Trasias MukamaDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6520-5272
Sabine NaudinParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Valeria PalaEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.ORCID 0000-0001-5438-970X
Laure DossusNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Inger T GramFaculty of Health Sciences, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-0031-4152
Karina Standahl OlsenFaculty of Health Sciences, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Maria-Jose SánchezEscuela Andaluza de Salud Pública (EASP), Granada, Spain.
Pernilla IsraelssonDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Naomi AllenNuffield Department of Population Health, University of Oxford, Oxford, UK.
Hilde LangsethDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-3751-3929

Funding

Barrie Dalgleish Centre for Myeloma and Related Blood CancersLeukemia and Lymphoma SocietyWorld Health Organization 001
6 · The paper itself

Abstract

The human epididymis protein 4 (HE4) remains the best available endometrial cancer (EC) biomarker; however, its discrimination between cases and cancer-free individuals is limited and might be improved when combined with other protein markers. We evaluated the discrimination capacity of 92 proteins as potential early detection biomarkers for EC in nested case-control studies in the European Prospective Investigation into Cancer and Nutrition (EPIC) (63 cases, 123 controls) and Janus (75 cases, 146 controls) cohorts, evaluating blood samples taken ≤2 years prior to diagnosis. Proteins were measured with the Olink Target 96 Oncology II panel assays. Areas under the receiver operating characteristic curves (AUCs) were calculated using logistic regression. The discrimination between cases and controls of top-performing proteins was modest (EPIC: HE4, CA125, CAIX, and S100A4; Janus: HE4, CA125, FURIN, CXCL13, and IL6; AUC range: 0.65 [S100A4], 0.76 [HE4, EPIC] within 0 to <12 months of blood collection) and decreased as the time between blood draw and cancer diagnosis increased (12-24 months AUC range: 0.49 [S100A4], 0.69 [CA125, Janus]). The combination of these other markers with HE4 did not improve discrimination. HE4 and other candidate proteins had limited discrimination between EC cases and controls and hence do not appear to be useful for early detection of this disease in women at average population risk.

Indexed as

Biomarkers, TumorEarly Detection of CancerEndometrial NeoplasmsProteinsAdultAgedCase-Control StudiesFemaleHumansMiddle AgedProspective StudiesROC CurveWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorProteinsWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, humanbiomarkersearly detectionendometrial cancer

Identifiers

PMID40177982
PMCPMC12141982

What OpenQuestion holds

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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.