Evidence map›Paper›PMID 33224875›Full record

ReviewFrontiers in oncology2020

Urinary Biomarkers and Their Potential for the Non-Invasive Detection of Endometrial Cancer.

Kelechi Njoku, Davide Chiasserini, Eleanor R Jones, Chloe E Barr, Helena O'Flynn, Anthony D Whetton, Emma J Crosbie

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Screening and risk reducing surgery for endometrial or ovarian cancers in Lynch syndrome: a systematic review.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2022
    Pooled it
  3. Trial
  4. Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Cervicovaginal Metabolome and Tumor Characteristics for Endometrial Cancer Detection and Risk Stratification.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
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.

Kelechi NjokuDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary's Hospital, Manchester, United Kingdom.
Davide ChiasseriniStoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Eleanor R JonesDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary's Hospital, Manchester, United Kingdom.
Chloe E BarrDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary's Hospital, Manchester, United Kingdom.
Helena O'FlynnDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary's Hospital, Manchester, United Kingdom.
Anthony D WhettonStoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Emma J CrosbieDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary's Hospital, Manchester, United Kingdom.

Funding

Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1
6 · The paper itself

Abstract

Endometrial cancer is the most common malignancy of the female genital tract and its incidence is rising in parallel with the mounting prevalence of obesity. Early diagnosis has great potential to improve outcomes as treatment can be curative, especially for early stage disease. Current tests and procedures for diagnosis are limited by insufficient accuracy in some and unacceptable levels of invasiveness and discomfort in others. There has, therefore, been a growing interest in the search for sensitive and specific biomarkers for endometrial cancer detection based on non-invasive sampling methodologies. Urine, the prototype non-invasive sample, is attractive for biomarker discovery as it is easily accessible and can be collected repeatedly and in quantity. Identification of urinary biomarkers for endometrial cancer detection relies on the excretion of systemic biomarkers by the kidneys or urinary contamination by biomarkers shed from the uterus. In this review, we present the current standing of the search for endometrial cancer urinary biomarkers based on cytology, genomic, transcriptomic, proteomic, and metabolomic platforms. We summarize the biomarker candidates and highlight the challenges inherent in urinary biomarker discovery. We review the various technologies with promise for biomarker detection and assess these novel approaches for endometrial cancer biomarker research.

Indexed as

diagnostic biomarkersearly detectionendometrial cancer (EC)non-invasive (urine)urine

Identifiers

PMID33224875
PMCPMC7670058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.