Ovarian Cancer Immunotherapy: Turning up the Heat.

Details

Ressource 1Download: diagnostics-09-00060.pdf (1166.88 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_95BDEE5B335B
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Ovarian Cancer Immunotherapy: Turning up the Heat.
Journal
International journal of molecular sciences
Author(s)
Ghisoni E., Imbimbo M., Zimmermann S., Valabrega G.
ISSN
1422-0067 (Electronic)
ISSN-L
1422-0067
Publication state
Published
Issued date
15/06/2019
Peer-reviewed
Oui
Volume
20
Number
12
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Abstract
Epithelial ovarian cancer (EOC) is the leading cause of death among gynecological malignancies. Despite surgery and chemotherapy, 5-years survival rates have improved only modestly over the past few decades remaining at 45% for advanced stages. Therefore, novel therapies are urgently needed. The presence of tumor-infiltrating lymphocytes (TILs) in OC tumor microenvironment (TME) has already proved to be correlated with overall survival (OS), while immune evasion mechanisms are associated with poor prognosis. Although these data indicate that immunotherapy has a strong rationale in OC, single agent immune-checkpoints inhibitors (ICIs) have shown only modest results in this malignancy. In this review, we will discuss immune-targeting combination therapies and adoptive cell therapy (ACT), highlighting the challenges represented by these strategies, which aim at disrupting the stroma-tumor barrier to boost immune system against ovarian cancer.
Keywords
adoptive cell therapy, immunotherapy, ovarian cancer, tumor infiltrating-lymphocytes, tumor microenvironment
Pubmed
Web of science
Open Access
Yes
Create date
24/06/2019 17:47
Last modification date
09/03/2020 13:07
Usage data