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Immune biomarkers for chronic inflammation related complications in non-cancerous and cancerous diseases

Overview of attention for article published in Cancer Immunology, Immunotherapy, July 2017
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Title
Immune biomarkers for chronic inflammation related complications in non-cancerous and cancerous diseases
Published in
Cancer Immunology, Immunotherapy, July 2017
DOI 10.1007/s00262-017-2035-6
Pubmed ID
Authors

Yaron Meirow, Michal Baniyash

Abstract

Chronic inflammation arising in a diverse range of non-cancerous and cancerous diseases, dysregulates immunity and exposes patients to a variety of complications. These include immunosuppression, tissue damage, cardiovascular diseases and more. In cancer, chronic inflammation and related immunosuppression can directly support tumor growth and dramatically reduce the efficacies of traditional treatments, as well as novel immune-based therapies, which require a functional immune system. Nowadays, none of the immune biomarkers, regularly used by clinicians can sense a developing chronic inflammation, thus complications can only be detected upon their appearance. This review focuses on the necessity for such immune status biomarkers, which could predict complications prior to their appearance. Herein we bring examples for the use of cellular and molecular biomarkers in diagnosis, prognosis and follow-up of patients suffering from various cancers, for prediction of response to immune-based anti-cancer therapy and for prediction of cardiovascular disease in type 2 diabetes patients. Monitoring such biomarkers is expected to have a major clinical impact in addition to unraveling of the entangled complexity underlying dysregulated immunity in chronic inflammation. Thus, newly discovered biomarkers and those that are under investigation are projected to open a new era towards combating the silent damage induced by chronic inflammation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Bachelor 9 17%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 4 8%
Researcher 4 8%
Other 9 17%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Immunology and Microbiology 10 19%
Biochemistry, Genetics and Molecular Biology 4 8%
Nursing and Health Professions 4 8%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 14 26%