Evidence map›Paper›PMID 36914786›Full record

ReviewJournal of cancer research and clinical oncology2023

Extracellular urinary microRNAs as non-invasive biomarkers of endometrial and ovarian cancer.

Antonija Hanžek, Christian Siatka, Anne-Cécile E Duc

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Diagnostic biomarkers in ovarian cancer: advances beyond CA125 and HE4.Therapeutic advances in medical oncology · 2024
    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

3 authors at 1 institution in 1 country.

Antonija HanžekUPR CHROME, Université de Nîmes, CEDEX 1, 30021, Nîmes, France.ORCID http://orcid.org/0000-0003-0143-1470
Christian SiatkaUPR CHROME, Université de Nîmes, CEDEX 1, 30021, Nîmes, France.
Anne-Cécile E DucUPR CHROME, Université de Nîmes, CEDEX 1, 30021, Nîmes, France. anne-cecile.duc@unimes.fr.ORCID http://orcid.org/0000-0001-6846-3165
Université de Nîmes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGynecological cancers account for a large number of cancer-related deaths in women. Endometrial cancer is the most prevalent, while ovarian cancer is the deadliest gynecological cancer worldwide. To overcome the clinical need for easy and rapid testing, there is a growing interest in cancer detection in non-invasive modalities. With a growing field of liquid biopsy, urine became interesting source of cancer biomarkers.

objectivesThe aim of this manuscript is to provide an overview on the origin, analysis and the clinical significance of urine microRNAs in gynecological cancers, with a focus on ovarian and endometrial cancer. MicroRNAs, a class of small non-coding nucleic acids, are emerging as a non-invasive biomarkers due to the feasibility and the extreme stability in body fluids. Specific miRNA expression signatures have been previously identified in ovarian and endometrial cancer.

resultsThe aim of this manuscript is to provide an overview on the origin, analysis and the clinical significance of urine microRNAs in gynecological cancers, with the focus on ovarian and endometrial cancer. 

conclusionThe advantages and limitations of urine microRNA utility and technologies are discussed. Previously detected microRNA from urine of the patients are summarized to evaluate their potential as non-invasive clinical biomarkers in gynecological oncology.

Indexed as

Endometrial NeoplasmsGenital Neoplasms, FemaleMicroRNAsOvarian NeoplasmsBiomarkersBiomarkers, TumorFemaleHumansBiomarkersBiomarkers, TumorMicroRNAsBiomarkersEndometrial cancerLiquid biopsymicroRNAOvarian cancerUrine

Identifiers

PMID36914786
PMCPMC11797637
OpenAlexW4324128525

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.