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Aurora Kinase A expression predicts platinum-resistance and adverse outcome in high-grade serous ovarian carcinoma patients

Overview of attention for article published in Journal of Ovarian Research, May 2016
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Title
Aurora Kinase A expression predicts platinum-resistance and adverse outcome in high-grade serous ovarian carcinoma patients
Published in
Journal of Ovarian Research, May 2016
DOI 10.1186/s13048-016-0238-7
Pubmed ID
Authors

Chiara Mignogna, Nicoletta Staropoli, Cirino Botta, Carmela De Marco, Antonia Rizzuto, Michele Morelli, Annalisa Di Cello, Renato Franco, Caterina Camastra, Ivan Presta, Natalia Malara, Angela Salvino, Pierfrancesco Tassone, Pierosandro Tagliaferri, Tullio Barni, Giuseppe Donato, Anna Di Vito

Abstract

High-Grade Serous Ovarian Carcinoma (HGSOC) is the predominant histotype of epithelial ovarian cancer (EOC), characterized by advanced stage at diagnosis, frequent TP53 mutation, rapid progression, and high responsiveness to platinum-based-chemotherapy. To date, standard first-line-chemotherapy in advanced EOC includes platinum salts and paclitaxel with or without bevacizumab. The major prognostic factor is the response duration from the end of the platinum-based treatment (platinum-free interval) and about 10-0 % of EOC patients bear a platinum-refractory disease or develop early resistance (platinum-free interval shorter than 6 months). On these bases, a careful selection of patients who could benefit from chemotherapy is recommended to avoid unnecessary side effects and for a better disease outcome. In this retrospective study, an immunohistochemical evaluation of Aurora Kinase A (AURKA) was performed on 41 cases of HGSOC according to platinum-status. Taking into account the number and intensity of AURKA positive cells we built a predictive score able to discriminate with high accuracy platinum-sensitive patients from platinum-resistant patients (p < 0.001). Furthermore, we observed that AURKA overexpression correlates to worse overall survival (p = 0.001; HR 0.14). We here suggest AURKA as new effective tool to predict the biological behavior of HGSOC. Particularly, our results indicate that AURKA has a role both as predictor of platinum-resistance and as prognostic factor, that deserves further investigation in prospective clinical trials. Indeed, in the era of personalized medicine, AURKA could assist the clinicians in selecting the best treatment and represent, at the same time, a promising new therapeutic target in EOC treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Other 4 12%
Student > Master 3 9%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Other 5 15%
Unknown 9 27%
Readers by discipline Count As %
Medicine and Dentistry 11 33%
Biochemistry, Genetics and Molecular Biology 4 12%
Agricultural and Biological Sciences 3 9%
Psychology 3 9%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2016.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from Journal of Ovarian Research
#318
of 590 outputs
Outputs of similar age
#249,956
of 333,164 outputs
Outputs of similar age from Journal of Ovarian Research
#6
of 10 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 590 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.