Evidence map›Paper›PMID 36765869›Full record

ArticleCancers2023

Cervical Fluids Are a Source of Protein Biomarkers for Early, Non-Invasive Endometrial Cancer Diagnosis.

Elena Martinez-Garcia, Eva Coll-de la Rubia, Antoine Lesur, Gunnar Dittmar, Antonio Gil-Moreno, Silvia Cabrera, Eva Colas

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

Elena Martinez-GarciaProteomics of Cellular Signaling, Department of Infection and Immunity, Luxembourg Institute of Health, 1445 Strassen, Luxembourg.ORCID 0000-0003-2547-7916
Eva Coll-de la RubiaBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, Universitat Autònoma de Barcelona, CIBERONC, 08035 Barcelona, Spain.
Antoine LesurQuantitative Biology Unit, Luxembourg Institute of Health, 1445 Strassen, Luxembourg.
Gunnar DittmarProteomics of Cellular Signaling, Department of Infection and Immunity, Luxembourg Institute of Health, 1445 Strassen, Luxembourg.ORCID 0000-0003-3647-8623
Antonio Gil-MorenoBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, Universitat Autònoma de Barcelona, CIBERONC, 08035 Barcelona, Spain.ORCID 0000-0003-1106-5590
Silvia CabreraBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, Universitat Autònoma de Barcelona, CIBERONC, 08035 Barcelona, Spain.
Eva ColasBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, Universitat Autònoma de Barcelona, CIBERONC, 08035 Barcelona, Spain.ORCID 0000-0003-0302-4828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal uterine bleeding is the main symptom of endometrial cancer (EC), but it is highly nonspecific. This represents a huge burden for women's health since all women presenting with bleeding will undergo sequential invasive tests, which are avoidable for 90-95% of those women who do not have EC.

methodsThis study aimed to evaluate the potential of cervical samples collected with five different devices as a source of protein biomarkers to diagnose EC. We evaluated the protein quantity and the proteome composition of five cervical sampling methods.

resultsSamples collected with a Rovers Cervex Brush

conclusionsThis study opens an avenue for developing non-invasive protein-based EC diagnostic tests, which will improve the standard of care for gynecological patients.

Indexed as

biomarkerCarcinoma of the endometriumcervical samplediagnosisendometrial cancerendometrial samplinggynecologynon-invasiveproteinproteomicsuterine cancer

Identifiers

PMID36765869
PMCPMC9913506

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.