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Cancer Treatment Reviews
Article . 2019 . Peer-reviewed
License: CC BY NC ND
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Cancer Treatment Reviews
Article
License: CC BY NC ND
Data sources: UnpayWall
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Article . 2018
License: CC BY NC ND
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PARP inhibitors in ovarian cancer

Authors: Franzese, Elisena; Centonze, Sara; Diana, Anna; Carlino, Francesca; Guerrera, Luigi Pio; Di Napoli, Marilena; De Vita, Ferdinando; +3 Authors

PARP inhibitors in ovarian cancer

Abstract

Poly-ADP-ribosepolymerase inhibitors (PARPis) are the most active and interesting therapies approved for the treatment of epithelial ovarian cancer. They have changed the clinical management of a disease characterized, in almost half of cases, by extreme genetic complexity and alteration of DNA damage repair pathways, particularly homologous recombination (HR) deficiency. In this review, we provide an updated overview of the available results of recent clinical trials on the three Food and Drug Administrationand European Medicines Agency approved PARPis in ovarian cancer: olaparib, niraparib, and rucaparib. Furthermore, we anticipate the future perspective of combination regimens with antiangiogenic, immunocheckpoint inhibitors, and other biological agents as strategies to overcome resistance mechanisms, potentiate the therapeutic efficacy, and expand their clinical use in non-HR deficient tumors.

Country
Italy
Keywords

Clinical Trials as Topic, General Medicine, Carcinoma, Ovarian Epithelial, Poly(ADP-ribose) Polymerase Inhibitors, Oncology, Niraparib; Olaparib; Ovarian cancer; PARP inhibitors; Rucaparib, Humans, Radiology, Nuclear Medicine and imaging, Female, Poly(ADP-ribose) Polymerases, Randomized Controlled Trials as Topic

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    172
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
172
Top 1%
Top 10%
Top 0.1%
Green
hybrid
Related to Research communities
Cancer Research