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Endometriosis: A Malignant Fingerprint.

Authors :
DeAngelo C
Tarasiewicz MB
Strother A
Taggart H
Gray C
Shanahan M
Glowacki C
Khandalavala J
Talaska E
Kinnan A
Coté JJ
Edwards AP
Harper-Harrison G
Casey MJ
Hirai TL
Schultz S
Stines L
Vora R
Boudreau D
Burgart J
Shama M
Watson T
Strasheim L
Thompson R
Lawlor R
Joyce K
Magnuson CM
Driano J
Elger B
Lentino A
Driscoll M
Tidwell E
Sharma A
Walker SR
Jones G
Sharma P
Stessman H
Wu Y
Vadgama J
Chase D
Conrad L
Reddy ST
Farias-Eisner R
Source :
Journal of cancer research and therapeutic oncology [J Cancer Res Ther Oncol] 2020 Apr; Vol. 8 (2). Date of Electronic Publication: 2020 Dec 29.
Publication Year :
2020

Abstract

Background: Endometriosis is complex, but identifying the novel biomarkers, inflammatory molecules, and genetic links holds the key to the enhanced detection, prediction and treatment of both endometriosis and endometriosis related malignant neoplasia. Here we review the literature relating to the specific molecular mechanism(s) mediating tumorigenesis arising within endometriosis.<br />Methods: Guidance (e.g. Cochrane) and published studies were identified. The Published studies were identified through PubMed using the systematic review methods filter, and the authors' topic knowledge. These data were reviewed to identify key and relevant articles to create a comprehensive review article to explore the molecular fingerprint associated with in endometriosis-driven tumorigenesis.<br />Results: An important focus is the link between C3aR1, PGR, ER1, SOX-17 and other relevant gene expression profiles and endometriosis-driven tumorigenesis. Further studies should also focus on the combined use of CA-125 with HE-4, and the role for OVA1/MIA as clinically relevant diagnostic biomarkers in the prediction of endometriosis-driven tumorigenesis.<br />Conclusions: Elucidating endometriosis' molecular fingerprint is to understand the molecular mechanisms that drive the endometriosis-associated malignant phenotype. A better understanding of the predictive roles of these genes and the value of the biomarker proteins will allow for the derivation of unique molecular treatment algorithms to better serve our patients.<br />Competing Interests: Conflicts of Interest: The authors declare no conflicts of interest.

Details

Language :
English
ISSN :
2332-2403
Volume :
8
Issue :
2
Database :
MEDLINE
Journal :
Journal of cancer research and therapeutic oncology
Publication Type :
Academic Journal
Accession number :
33644256
Full Text :
https://doi.org/10.17303/jcrto.2020.8.206