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Genomic, Epigenomic, and Transcriptomic Profiling towards Identifying Omics Features and Specific Biomarkers That Distinguish Uterine Leiomyosarcoma and Leiomyoma at Molecular Levels
Joint Authors
Kato, Kiyoko
Kobayashi, Hiroaki
Miyata, Tomoko
Tomikawa, Junko
Tayama, Chiharu
Okamura, Kohji
Maehara, Kayoko
Hata, Kenichiro
Nakabayashi, Kazuhiko
Sonoda, Kenzo
Wake, Norio
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Uterine leiomyosarcoma (LMS) is the worst malignancy among the gynecologic cancers.
Uterine leiomyoma (LM), a benign tumor of myometrial origin, is the most common among women of childbearing age.
Because of their similar symptoms, it is difficult to preoperatively distinguish the two conditions only by ultrasound and pelvic MRI.
While histopathological diagnosis is currently the main approach used to distinguish them postoperatively, unusual histologic variants of LM tend to be misdiagnosed as LMS.
Therefore, development of molecular diagnosis as an alternative or confirmatory means will help to diagnose LMS more accurately.
We adopted omics-based technologies to identify genome-wide features to distinguish LMS from LM and revealed that copy number, gene expression, and DNA methylation profiles successfully distinguished these tumors.
LMS was found to possess features typically observed in malignant solid tumors, such as extensive chromosomal abnormalities, overexpression of cell cycle-related genes, hypomethylation spreading through large genomic regions, and frequent hypermethylation at the polycomb group target genes and protocadherin genes.
We also identified candidate expression and DNA methylation markers, which will facilitate establishing postoperative molecular diagnostic tests based on conventional quantitative assays.
Our results demonstrate the feasibility of establishing such tests and the possibility of developing preoperative and noninvasive methods.
American Psychological Association (APA)
Miyata, Tomoko& Sonoda, Kenzo& Tomikawa, Junko& Tayama, Chiharu& Okamura, Kohji& Maehara, Kayoko…[et al.]. 2015. Genomic, Epigenomic, and Transcriptomic Profiling towards Identifying Omics Features and Specific Biomarkers That Distinguish Uterine Leiomyosarcoma and Leiomyoma at Molecular Levels. Complexity،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1076070
Modern Language Association (MLA)
Miyata, Tomoko…[et al.]. Genomic, Epigenomic, and Transcriptomic Profiling towards Identifying Omics Features and Specific Biomarkers That Distinguish Uterine Leiomyosarcoma and Leiomyoma at Molecular Levels. Complexity No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1076070
American Medical Association (AMA)
Miyata, Tomoko& Sonoda, Kenzo& Tomikawa, Junko& Tayama, Chiharu& Okamura, Kohji& Maehara, Kayoko…[et al.]. Genomic, Epigenomic, and Transcriptomic Profiling towards Identifying Omics Features and Specific Biomarkers That Distinguish Uterine Leiomyosarcoma and Leiomyoma at Molecular Levels. Complexity. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1076070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1076070