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Perspectives for cancer immunotherapy mediated by p19Arf plus interferon-beta gene transfer

Overview of attention for article published in Clinics, October 2018
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Title
Perspectives for cancer immunotherapy mediated by p19Arf plus interferon-beta gene transfer
Published in
Clinics, October 2018
DOI 10.6061/clinics/2018/e479s
Pubmed ID
Authors

BE Strauss, GR Silva, IL Vieira, OL Cerqueira, PR Del Valle, RF Medrano, SA Mendonça

Abstract

While cancer immunotherapy has gained much deserved attention in recent years, many areas regarding the optimization of such modalities remain unexplored, including the development of novel approaches and the strategic combination of therapies that target multiple aspects of the cancer-immunity cycle. Our own work involves the use of gene transfer technology to promote cell death and immune stimulation. Such immunogenic cell death, mediated by the combined transfer of the alternate reading frame (p14ARF in humans and p19Arf in mice) and the interferon-β cDNA in our case, was shown to promote an antitumor immune response in mouse models of melanoma and lung carcinoma. With these encouraging results, we are now setting out on the road toward translational and preclinical development of our novel immunotherapeutic approach. Here, we outline the perspectives and challenges that we face, including the use of human tumor and immune cells to verify the response seen in mouse models and the incorporation of clinically relevant models, such as patient-derived xenografts and spontaneous tumors in animals. In addition, we seek to combine our immunotherapeutic approach with other treatments, such as chemotherapy or checkpoint blockade, with the goal of reducing dosage and increasing efficacy. The success of any translational research requires the cooperation of a multidisciplinary team of professionals involved in laboratory and clinical research, a relationship that is fostered at the Cancer Institute of Sao Paulo.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 30%
Student > Ph. D. Student 3 15%
Researcher 2 10%
Student > Master 1 5%
Other 1 5%
Other 0 0%
Unknown 7 35%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 4 20%
Nursing and Health Professions 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Psychology 1 5%
Other 2 10%
Unknown 7 35%