Evidence map›Paper›PMID 35284957›Full record

ArticleArchives of gynecology and obstetrics2022

Potential of blood-based biomarker approaches in endometrium and breast cancer: a case-control comparison study.

Anne Schuhn, Tania Witte Tobar, Aoife Ward Gahlawat, Jana Hauke, Lukas Baumann, Jürgen G Okun, Juliane Nees

Open access · hybridAbstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
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

7 authors at 1 institution in 1 country.

Anne SchuhnDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
Tania Witte TobarDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.ORCID 0000-0003-4287-1608
Aoife Ward GahlawatDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.ORCID 0000-0001-7854-7207
Jana HaukeDepartment of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Lukas BaumannInstitute of Medical Biometry, University of Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.ORCID 0000-0001-7931-7470
Jürgen G OkunDepartment of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Juliane NeesDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany. Juliane.Nees@med.uni-heidelberg.de.ORCID 0000-0003-4886-9808
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEndometrial carcinoma is the second most common gynecological malignancy. Until today lacking a screening tool. A blood-based biomarker could help address this need.

methodsThe expression levels of 30 acylcarnitines, 18 amino acids, 6 miRNAs, and 7 DNA methylation sites were measured in blood samples from 331 women (20 EC, 14 benign uterine lesions (benign), 140 breast cancers (BC), 157 controls). Areas under the ROC curves (AUC), sensitivity (sens.) and specificity (spec.) were computed to identify the variables best distinguishing.

resultsThe best top ten markers for the four comparisons (cancer vs. cancer-free; EC vs. BC, EC vs. controls; EC vs. benign), were identified via AUC. Malonylcarnitine distinguished best patients with EC from controls (AUC: 0.827, sens. 80%, spec. 73.1%) or BC (AUC: 0.819, sens. 84.3%, spec. 80%) being most notable. Tryptophan best differentiated benign from EC (AUC: 0.846, sens. 70%, spec. 92.9%).

conclusionsThe levels of the analyzed blood markers yielded promising results in the detection of EC and warrant further evaluation.

Indexed as

Breast NeoplasmsEndometrial NeoplasmsMicroRNAsBiomarkers, TumorCase-Control StudiesEndometriumFemaleHumansROC CurveTryptophanBiomarkers, TumorMicroRNAsTryptophanAcylcarnitineAmino acidsBreast cancerDNA methylationEndometrial cancerMetabolomicsMiRNA

Identifiers

PMID35284957
PMCPMC9519681
OpenAlexW4220995990

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.