Urinary Biomarkers and Their Potential for the Non-Invasive Detection of Endometrial Cancer
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 pr...
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| Published in | Frontiers in oncology Vol. 10; p. 559016 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
03.11.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2234-943X 2234-943X |
| DOI | 10.3389/fonc.2020.559016 |
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| 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. |
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| AbstractList | 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. 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.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. |
| Author | Chiasserini, Davide Jones, Eleanor R. O’Flynn, Helena Njoku, Kelechi Crosbie, Emma J. Barr, Chloe E. Whetton, Anthony D. |
| AuthorAffiliation | 3 Section of Physiology and Biochemistry, Department of Experimental Medicine, University of Perugia , Perugia , Italy 2 Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester , Manchester , United Kingdom 1 Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital , Manchester , United Kingdom 4 Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre , Manchester , United Kingdom |
| AuthorAffiliation_xml | – name: 3 Section of Physiology and Biochemistry, Department of Experimental Medicine, University of Perugia , Perugia , Italy – name: 2 Stoller Biomarker Discovery Centre, Faculty of Biology, Medicine and Health, Institute of Cancer Sciences, University of Manchester , Manchester , United Kingdom – name: 1 Division of Cancer Sciences, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, St. Mary’s Hospital , Manchester , United Kingdom – name: 4 Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre , Manchester , United Kingdom |
| Author_xml | – sequence: 1 givenname: Kelechi surname: Njoku fullname: Njoku, Kelechi – sequence: 2 givenname: Davide surname: Chiasserini fullname: Chiasserini, Davide – sequence: 3 givenname: Eleanor R. surname: Jones fullname: Jones, Eleanor R. – sequence: 4 givenname: Chloe E. surname: Barr fullname: Barr, Chloe E. – sequence: 5 givenname: Helena surname: O’Flynn fullname: O’Flynn, Helena – sequence: 6 givenname: Anthony D. surname: Whetton fullname: Whetton, Anthony D. – sequence: 7 givenname: Emma J. surname: Crosbie fullname: Crosbie, Emma J. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33224875$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2020 Njoku, Chiasserini, Jones, Barr, O’Flynn, Whetton and Crosbie. Copyright © 2020 Njoku, Chiasserini, Jones, Barr, O’Flynn, Whetton and Crosbie 2020 Njoku, Chiasserini, Jones, Barr, O’Flynn, Whetton and Crosbie |
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| Keywords | early detection urine diagnostic biomarkers endometrial cancer (EC) non-invasive (urine) |
| Language | English |
| License | Copyright © 2020 Njoku, Chiasserini, Jones, Barr, O’Flynn, Whetton and Crosbie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 Edited by: Shannon Neville Westin, University of Texas MD Anderson Cancer Center, United States Reviewed by: Thangesweran Ayakannu, University of Liverpool, United Kingdom; Svetlana Tamkovich, Novosibirsk State University, Russia This article was submitted to Women’s Cancer, a section of the journal Frontiers in Oncology |
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