Current status of urinary diagnostic biomarkers for colorectal cancer.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 11 07 2019
revised: 13 08 2019
accepted: 13 08 2019
pubmed: 20 8 2019
medline: 20 2 2020
entrez: 18 8 2019
Statut: ppublish

Résumé

Fecal occult blood test (FOBT) and flexible sigmoidoscopy are the currently using screening methods for colorectal cancer (CRC). However, these methods still have problems of high false positive rates in FOBT and increased invasiveness and cost associated with endoscopy. The development of non-invasive biomarkers is thus important for the diagnosis of CRC. Urine is one of the most commonly used samples for mass screening owing to its non-invasive and simple process of collection; however, the discovery of urinary diagnostic biomarkers for malignancies is still challenging and developing. Since urine contains abundant substances reflecting systemic body condition, urinary biomarker might contribute to detect CRC in a completely non-invasive manner. In this review, we describe the current utility of urinary diagnostic biomarkers for CRC.

Identifiants

pubmed: 31421118
pii: S0009-8981(19)31999-0
doi: 10.1016/j.cca.2019.08.011
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

76-83

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Hiroyasu Iwasaki (H)

Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

Takaya Shimura (T)

Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan. Electronic address: tshimura@med.nagoya-cu.ac.jp.

Hiromi Kataoka (H)

Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

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Classifications MeSH