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Golubnitschaja O, Baban B, Boniolo G, Wang W, Bubnov R, Kapalla M, Krapfenbauer K, Mozaffari MS, Costigliola V. Medicine in the early twenty-first century: paradigm and anticipation - EPMA position paper 2016. EPMA J 2016; 7:23. [PMID: 27800037 PMCID: PMC5078893 DOI: 10.1186/s13167-016-0072-4] [Citation(s) in RCA: 228] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 10/11/2016] [Indexed: 01/02/2023]
Affiliation(s)
- Olga Golubnitschaja
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Radiologic Department, Rheinische Friedrich-Wilhelms-University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany
- Breast Cancer Research Centre, Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany
| | - Babak Baban
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Augusta University, Augusta, GA USA
- Department of Surgery, School of Medicine, Augusta University, Augusta, GA USA
| | - Giovanni Boniolo
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Dipartimento di Scienze Biomediche e Chirurgico Specialistiche, Università di Ferrara, Via Fossato di Mortara, 64A, 44121 Ferrara, Italy
- Institute for Advanced Study, Technische Universität München, Garching bei München, Germany
| | - Wei Wang
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- School of Medical Sciences, Edith Cowan University, Perth, Australia
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- WHO Expert Panel (Member), Geneva, Switzerland
- Global Health Epidemiology Reference Group (GHERG), Edinburgh, UK
| | - Rostyslav Bubnov
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Clinical hospital “Pheophania” of State Affairs Department, Kyiv, Ukraine
- Zabolotny Institute of Microbiology and Virology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Marko Kapalla
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
| | - Kurt Krapfenbauer
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
| | - Mahmood S. Mozaffari
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Augusta University, Augusta, GA USA
- Department of Surgery, School of Medicine, Augusta University, Augusta, GA USA
| | - Vincenzo Costigliola
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- European Medical Association, Brussels, Belgium
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Liver metastatic disease: new concepts and biomarker panels to improve individual outcomes. Clin Exp Metastasis 2016; 33:743-755. [PMID: 27541751 DOI: 10.1007/s10585-016-9816-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 08/10/2016] [Indexed: 12/11/2022]
Abstract
Liver cancer, one of the leading causes of all cancer related deaths, belongs to the most malignant cancer types. In fact, the secondary hepatic malignancies (liver metastases) are more common than the primary ones. Almost all solid malignancies can metastasise to the liver. It is well justified that the "treat and wait" approach in the overall management of the liver cancer is not up-to-date and so creation of complex individual patient profiles is needed. This review is specifically focused on the liver metastases originating from the colorectum, breast and prostate cancer. Innovative multilevel diagnostics may procure specific panels of validated biomarkers for predisposition, development and progression of metastatic disease. Creation of the patient specific "molecular portrait" is an essential part of the diagnostic strategy. Contextually, analysis of molecular and cellular patterns in blood samples as the minimally invasive diagnostic tool and construction of diagnostic windows based on individual patient profiling is highly recommended for patient cohorts predisposed to and affected by the liver metastatic disease. Summarised information on risk assessment, predictive and prognostic panels for diagnosis and treatments of the liver metastatic disease in colorectal, breast and prostate cancer is provided.
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Abraham JA, Golubnitschaja O. Time for paradigm change in management of hepatocellular carcinoma: is a personalized approach on the horizon? Per Med 2016; 13:455-467. [PMID: 29767598 DOI: 10.2217/pme-2016-0013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Hepatocellular carcinoma (HCC) is the fifth most frequent cancer form but the second leading cause of all cancer-related deaths. There are several reasons for high mortality in the HCC cohort: lack of effective screening programs and consequently late diagnosis, multifactorial origin with cumulative risk factors, complex carcinogenesis, tumor heterogeneity, unpredictable impacts of individual microenvironment on tumor development and progression, and, as the consequence, frequently untargeted therapy and cancer resistance toward currently applied treatment approaches. The currently applied 'treat and wait' approach is inappropriate in the overall HCC management. Urgent need in paradigm change toward predictive, preventive and personalized medicine is discussed in this review article. Innovative strategies for an advanced predictive, preventive and personalized medicine approach in the overall HCC management benefiting the patient are presented.
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Affiliation(s)
- Jella-Andrea Abraham
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Olga Golubnitschaja
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
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