Ovarian cancer: Novel molecular aspects for clinical assessment.

Crit Rev Oncol Hematol

Department of Biomedical Sciences and Human Oncology, University of Bari 'Aldo Moro', Bari, Italy. Electronic address:

Published: September 2017

Ovarian cancer is a very heterogeneous tumor which has been traditionally characterized according to the different histological subtypes and differentiation degree. In recent years, innovative molecular screening biotechnologies have allowed to identify further subtypes of this cancer based on gene expression profiles, mutational features, and epigenetic factors. These novel classification systems emphasizing the molecular signatures within the broad spectrum of ovarian cancer have not only allowed a more precise prognostic prediction, but also proper therapeutic strategies for specific subgroups of patients. The bulk of available scientific data and the high refinement of molecular classifications of ovarian cancers can today address the research towards innovative drugs with the adoption of targeted therapies tailored for single molecular profiles leading to a better prediction of therapeutic response. Here, we summarize the current state of knowledge on the molecular bases of ovarian cancer, from the description of its molecular subtypes derived from wide high-throughput analyses to the latest discoveries of the ovarian cancer stem cells. The latest personalized treatment options are also presented with recent advances in using PARP inhibitors, anti-angiogenic, anti-folate receptor and anti-cancer stem cells treatment approaches.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.critrevonc.2017.06.007DOI Listing

Publication Analysis

Top Keywords

ovarian cancer
20
stem cells
8
molecular
7
ovarian
6
cancer
5
cancer novel
4
novel molecular
4
molecular aspects
4
aspects clinical
4
clinical assessment
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!