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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Cancer Lettersarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Cancer Letters
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Chemotherapy in epithelial ovarian cancer

Authors: Sandro, Pignata; Lucia, Cannella; Davide, Leopardo; Carmela, Pisano; Giovanni Salvatore, Bruni; Gaetano, Facchini;

Chemotherapy in epithelial ovarian cancer

Abstract

Epithelial ovarian cancer is the most common type of ovarian cancer; usually occurs in women older than 50years, and because 75% of cases are diagnosed at stage III or IV it is associated with a poor prognosis. Treatment of ovarian cancer is based on the integration of surgery and chemotherapy. Chemotherapy plays a major role both in the adjuvant treatment and in the care of patients with advanced disease. Several active drugs have been introduced in the treatment of ovarian cancer in the last decades and novel targets and agents are under evaluation.

Keywords

Ovarian Neoplasms, Clinical Trials as Topic, Antineoplastic Agents, Middle Aged, Medical Oncology, Prognosis, Treatment Outcome, Drug Therapy, Recurrence, Humans, Female, Aged

  • 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).
    89
    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 10%
    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 1%
Powered by OpenAIRE graph
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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!
89
Top 10%
Top 10%
Top 1%
Related to Research communities
Cancer Research
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