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Steroidomics for the Prevention, Assessment, and Management of Cancers: A Systematic Review and Functional Analysis

Title
Steroidomics for the Prevention, Assessment, and Management of Cancers: A Systematic Review and Functional Analysis
Authors
Nguyen Hoang AnhNguyen Phuoc LongKim, Sun JoMin, Jung EunYoon, Sang JunKim, Hyung MinYang, EugineHwang, Eun SookPark, Jeong HillHong, Soon-SunKwon, Sung Won
Ewha Authors
황은숙
SCOPUS Author ID
황은숙scopus
Issue Date
2019
Journal Title
METABOLITES
ISSN
2218-1989JCR Link
Citation
METABOLITES vol. 9, no. 10
Keywords
steroidomicscancerbiomarkerdiagnosisprognosissystematic reviewfunctional analysis
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS
Document Type
Review
Abstract
Steroidomics, an analytical technique for steroid biomarker mining, has received much attention in recent years. This systematic review and functional analysis, following the PRISMA statement, aims to provide a comprehensive review and an appraisal of the developments and fundamental issues in steroid high-throughput analysis, with a focus on cancer research. We also discuss potential pitfalls and proposed recommendations for steroidomics-based clinical research. Forty-five studies met our inclusion criteria, with a focus on 12 types of cancer. Most studies focused on cancer risk prediction, followed by diagnosis, prognosis, and therapy monitoring. Prostate cancer was the most frequently studied cancer. Estradiol, dehydroepiandrosterone, and cortisol were mostly reported and altered in at least four types of cancer. Estrogen and estrogen metabolites were highly reported to associate with women-related cancers. Pathway enrichment analysis revealed that steroidogenesis; androgen and estrogen metabolism; and androstenedione metabolism were significantly altered in cancers. Our findings indicated that estradiol, dehydroepiandrosterone, cortisol, and estrogen metabolites, among others, could be considered oncosteroids. Despite noble achievements, significant shortcomings among the investigated studies were small sample sizes, cross-sectional designs, potential confounding factors, and problematic statistical approaches. More efforts are required to establish standardized procedures regarding study design, analytical procedures, and statistical inference.
DOI
10.3390/metabo9100199
Appears in Collections:
약학대학 > 약학과 > Journal papers
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