Molecular alterations in mucinous ovarian tumors – a review
| Autor: | Kawecka Weronika, Bielak Michal, Urbanska Karolina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Current Issues in Pharmacy and Medical Sciences, Vol 37, Iss 3, Pp 190-194 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2300-6676 2024-0031 |
| DOI: | 10.2478/cipms-2024-0031 |
| Popis: | Mucinous ovarian tumors (MOTs) include primary and secondary neoplasms, the latter of which contribute for 80% of all cases. The most common site of origin for secondary MOTs is the gastrointestinal tract. Proper differentiation between primary and metastatic lesions is essential for effective treatment. Currently, definitive diagnosis is made based on post-operative histopathological examination with the use of immunohistochemical markers. However, the final diagnosis presents a challenge because of the histopathological similarity between mucinous metastases and primary ovarian lesions. Generally, treatment consists of cytoreductive surgery and adjuvant chemotherapy, even though malignant tumors are found to be chemo-resistant. Prognosis depends on the type of the tumor, presence of metastases and patient’s general condition. Further research on the genetic background of MOTs is necessary for the better understanding of their origin and more effective treatment. This review aims to summarize recent advances in the field of the molecular features of MOTs and their implications for the diagnostic pathways and potential adjuvant therapy options. The analysis of molecular alterations might not only be an important prognostic factor, but also a useful diagnostic tool in distinguishing between primary mucinous tumors and extra-ovarian metastases or other subtypes of epithelial ovarian neoplasms. Moreover, the examination of genetic mutations seems to increase the efficiency of targeted therapy. However, more research evaluating such therapies in pre-clinical models is needed to improve the results of the diagnostics and treatment of MOTs. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|