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BioMed Research International
Volume 2018, Article ID 3793154, 7 pages
Review Article

Searching for Clinically Relevant Biomarkers in Geriatric Oncology

1Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
2Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE
3Department of Radiation Oncology, University of Patras Medical School, Patras, Greece

Correspondence should be addressed to Theodora Katsila; rg.sartapu@alistakht

Received 23 August 2017; Accepted 15 January 2018; Published 18 February 2018

Academic Editor: Nam Nguyen

Copyright © 2018 Theodora Katsila et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Ageing, which is associated with a progressive decline and functional deterioration in multiple organ systems, is highly heterogeneous, both inter- and intraindividually. For this, tailored-made theranostics and optimum patient stratification become fundamental, when decision-making in elderly patients is considered. In particular, when cancer incidence and cancer-related mortality and morbidity are taken into account, elderly patient care is a public health concern. In this review, we focus on oncogeriatrics and highlight current opportunities and challenges with an emphasis on the unmet need of clinically relevant biomarkers in elderly cancer patients. We performed a literature search on PubMed and Scopus databases for articles published in English between 2000 and 2017 coupled to text mining and analysis. Considering the top insights, we derived from our literature analysis that information knowledge needs to turn into knowledge growth in oncogeriatrics towards clinically relevant biomarkers, cost-effective practices, updated educational schemes for health professionals (in particular, geriatricians and oncologists), and awareness of ethical issues. We conclude with an interdisciplinary call to omics, geriatricians, oncologists, informatics, and policy-makers communities that Big Data should be translated into decision-making in the clinic.