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Adoptive immunotherapy against ovarian cancer

Overview of attention for article published in Journal of Ovarian Research, May 2016
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Title
Adoptive immunotherapy against ovarian cancer
Published in
Journal of Ovarian Research, May 2016
DOI 10.1186/s13048-016-0236-9
Pubmed ID
Authors

Gloria Mittica, Sonia Capellero, Sofia Genta, Celeste Cagnazzo, Massimo Aglietta, Dario Sangiolo, Giorgio Valabrega

Abstract

The standard front-line therapy for epithelial ovarian cancer (EOC) is combination of debulking surgery and platinum-based chemotherapy. Nevertheless, the majority of patients experience disease recurrence. Although extensive efforts to find new therapeutic options, cancer cells invariably develop drug resistance and disease progression. New therapeutic strategies are needed to improve prognosis of patients with advanced EOC.Recently, several preclinical and clinical studies investigated feasibility and activity of adoptive immunotherapy in EOC. Our aim is to highlight prospective of adoptive immunotherapy in EOC, focusing on HLA-restricted Tumor Infiltrating Lymphocytes (TILs), and MHC-independent immune effectors such as natural killer (NK), and cytokine-induced killer (CIK). Adoptive cell therapy (ACT) has shown activity in several pre-clinical models. Available preclinical and clinical data suggest that adoptive cell therapy may provide the best benefit in settings of low tumor burden, minimal residual disease, or maintenance therapy. Further studies are needed to better define the optimal clinical setting.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 8 14%
Researcher 8 14%
Other 3 5%
Other 8 14%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 19 32%
Biochemistry, Genetics and Molecular Biology 11 19%
Immunology and Microbiology 6 10%
Agricultural and Biological Sciences 4 7%
Psychology 2 3%
Other 5 8%
Unknown 12 20%
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 14 December 2016.
All research outputs
#15,404,272
of 22,914,829 outputs
Outputs from Journal of Ovarian Research
#235
of 594 outputs
Outputs of similar age
#202,055
of 326,876 outputs
Outputs of similar age from Journal of Ovarian Research
#5
of 10 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 594 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 326,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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 5 of them.