Steroidomics for the Prevention, Assessment, and Management of Cancers
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Oncology".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 3833
Special Issue Editors
Interests: clinical medicine; translational medicine; multi-omics; cancer; biochemical analysis
Interests: human cancers and neurological diseases; omics sciences; systems medicine; medical ecology and environmental pollution research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Years of research have suggested that steroidogenesis, androgen and estrogen metabolism, and androstenedione metabolism, among others, are associated with human cancer. Mass spectrometry-based approaches are currently the method of choice to accurately analyze steroids from various biological matrices. High-throughput profiling and quantification of steroids, steroidomics, is an emerging field that has profound potential for the prevention, assessment, and management of human cancer. Nevertheless, there are still rooms for improvement to facilitate the employment of steroidomics in clinical research. These include, but not limited to, the study design, sample logistics, instrumental analysis, post-analytic data processing, and statistical analysis. This special issue aims at highlighting recent advances in clinical steroidomics, which an emphasis on the prevention, assessment, and management of human cancers. We consider all original research articles and review papers that support the advancement of clinical steroidomics as an independent field or as a member of the omics family. In particular, we will focus on the development of state-of-the-art analytical approaches, bioinformatics, statistical learning in addition to critical clinical aspects such as study design and tissue-specific steroidome of cancer. Studies of which the employment of steroidomics for the elucidation of the mechanism and etiology of cancer are also welcome.
Prof. Dr. Sung Won Kwon
Dr. Nguyen Phuoc Long
Guest Editors
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Keywords
- steroidomics
- metabolomics
- lipidomics
- multi-omics
- clinical research
- cancer
- biomarker
- prevention
- diagnosis
- prognosis
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