https://pagepressjournals.org/index.php/tmr/issue/feed Translational Medicine Reports 2018-12-15T17:17:56+01:00 Francesca Baccino francesca.baccino@pagepress.org Open Journal Systems <p><strong>Translational Medicine Reports</strong> is a peer-reviewed international journal publishing articles in the field of molecular biology, biochemistry and nanotechnology applied to the treatment of chronic-degenerative diseases including diabetes, cancer, neurological, cardiovascular and metabolic disorders. Aim of the Journal is to contribute to bridging the gap between basic research and clinical applications from an interdisciplinary perspective. <strong>Translational Medicine Reports</strong> addresses researchers and managers in academia, biotechnology and pharmaceutical industry researchers, physician scientists, <em>etc.</em> Original Articles with interdisciplinary topics, Reviews, Editorials, From Bench-to-Bedside Articles, Conference Proceedings, and Letters to the Editor are welcome. Every article published in the Journal will be peer-reviewed by experts in the field and selected by members of the Editorial Board.&nbsp;</p> <p><strong>The journal is completely free: no charge for publication, as it is supported by private funds.</strong></p> https://pagepressjournals.org/index.php/tmr/article/view/7176 Application of omic technologies in cancer research 2018-07-13T13:24:30+02:00 Sarah Wagner sarah.wagner@ntu.ac.uk Graham R. Ball Graham.ball@ntu.ac.uk A. Graham Pockley graham.pockley@ntu.ac.uk Amanda K. Miles amanda.miles@ntu.ac.uk Understanding the biology of health and diseases such as cancer, generating insight into the triggers and potentiators of disease and the development of therapeutic approaches to counter and treat disease requires detailed interrogation of inherited genes, and the dynamic positioning of the transcriptome and proteome. In the last 10 years, significant technological developments and increases in sample throughput capabilities have led to a dramatic increase in the size and complexity of the datasets that can be generated. A key challenge now is to develop robust approaches for analysing and interpreting these, and converting data into biologically- and clinically-relevant information. Herein, we provide an overview of approaches for acquiring, integrating and interpreting complex datasets generated using multiple omic platforms, with a focus on the field of cancer research, and highlight key successful data handling and integration applications. 2018-05-15T17:34:54+02:00 ##submission.copyrightStatement## https://pagepressjournals.org/index.php/tmr/article/view/7002 Relationship between type 2 diabetes and pancreatic cancer 2018-12-15T17:17:56+01:00 M. Temel Yilmaz m.temelyilmmaz@yahoo.com.tr Ali Osman Gürol ogurol@yahoo.com Diabetes mellitus and cancer are conditions that constitute a serious problem for the health of the world’s population, and their co-existence in the same person is becoming increasingly common. Glucose metabolism and the presence of insulin in inflammatory situations appear to be the main factors driving this association, where hyperinsulinemia has been shown to contribute to an increase in risk of association between type 2 diabetes and cancer. Therefore, administering lower levels of exogenously administered insulin to patients with type 1 diabetes would decrease their risk of developing cancer when compared to patients with type 2 diabetes. The results from animal experiments seem promising in terms of pharmacological treatment. 2018-11-19T11:30:54+01:00 ##submission.copyrightStatement##