Evidence map›Paper›PMID 27209210›Full record

ArticleJournal of ovarian research2016

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

Chiara Mignogna, Nicoletta Staropoli, Cirino Botta, Carmela De Marco, Antonia Rizzuto, Michele Morelli, Annalisa Di Cello, Renato Franco, Caterina Camastra, Ivan Presta and 7 more

Abstract read
In one paragraph

Article in Journal of ovarian research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. The role of Aurora-A in human cancers and future therapeutics.American journal of cancer research · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Chiara MignognaDepartment of Health Science, Pathology Unit, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy. mignogna@unicz.it.
Nicoletta StaropoliDepartment of Experimental and Clinical Medicine, Medical Oncology, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy. nicolettastaropoli@gmail.com.
Cirino BottaTranslational Medical Oncology Unit, Department of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Carmela De MarcoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Antonia RizzutoDepartment of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy.
Michele MorelliDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Annalisa Di CelloDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Renato FrancoDepartment of Mental and Physical Health and Preventive Medicine, Second University of Naples, Naples, Italy.
Caterina CamastraDepartment of Health Science, Pathology Unit, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Ivan PrestaDepartment of Health Science, Pathology Unit, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Natalia MalaraDepartment of Health Science, Pathology Unit, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Angela SalvinoDepartment of Experimental and Clinical Medicine, Medical Oncology, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Pierfrancesco TassoneTranslational Medical Oncology Unit, Department of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Medical Oncology, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Tullio BarniDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Giuseppe DonatoDepartment of Health Science, Pathology Unit, Magna Græcia University of Catanzaro, Medical School, Viale Europa, 88100, Catanzaro, Italy.
Anna Di VitoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Gene ExpressionAdultAgedAged, 80 and overAntineoplastic AgentsAurora Kinase ACystadenocarcinoma, SerousDrug Resistance, NeoplasmFemaleHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedNeoplasm StagingOvarian NeoplasmsPlatinumAntineoplastic AgentsAurora Kinase APlatinumAURKAHigh-grade serous ovarian carcinoma (HGSOC)PlatinumPrognosisTherapy

Identifiers

PMID27209210
PMCPMC4875597

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.