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Genomics of gynaecological carcinosarcomas and future treatment options.
- Source :
-
Seminars in cancer biology [Semin Cancer Biol] 2020 Apr; Vol. 61, pp. 110-120. Date of Electronic Publication: 2019 Oct 14. - Publication Year :
- 2020
-
Abstract
- Gynaecological carcinosarcomas are the most lethal gynaecological malignancies that are often highly resistant to standard chemotherapy. They are composed of both carcinomatous and sarcomatous components and are associated with high rates of metastatic disease. Due to their rarity, molecular studies have been carried out on relatively few tumours, revealing a broad spectrum of heterogeneity. In this review, we have collated the gene mutations, gene expression, epigenetic regulation and protein expression reported by a number of studies on gynaecological carcinosarcomas. Based on these results, we describe potential therapeutics that may demonstrate efficacy and present any pre-clinical studies that have been carried out. We also describe the pre-clinical models currently available for future research to assess the potential of molecularly matched therapies. Interestingly, over-expression of many biomarkers in carcinosarcoma tumours often doesn't correlate with a worse prognosis. Therefore, we propose that profiling the mutational landscape, gene expression, and gene amplification/deletion may better indicate potential treatment strategies and predict response, thus improving outcomes for women with this rare, aggressive disease.<br /> (Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.)
- Subjects :
- Animals
Carcinosarcoma diagnosis
Carcinosarcoma mortality
Disease Management
Disease Models, Animal
Female
Genital Neoplasms, Female diagnosis
Genital Neoplasms, Female mortality
Humans
Prognosis
Translational Research, Biomedical
Carcinosarcoma genetics
Carcinosarcoma therapy
Genetic Predisposition to Disease
Genital Neoplasms, Female genetics
Genital Neoplasms, Female therapy
Genomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1096-3650
- Volume :
- 61
- Database :
- MEDLINE
- Journal :
- Seminars in cancer biology
- Publication Type :
- Academic Journal
- Accession number :
- 31622660
- Full Text :
- https://doi.org/10.1016/j.semcancer.2019.10.006