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Future paradigms for precision oncology

GL. Klement, K. Arkun, D. Valik, T. Roffidal, A. Hashemi, C. Klement, P. Carmassi, E. Rietman, O. Slaby, P. Mazanek, P. Mudry, G. Kovacs, C. Kiss, K. Norga, D. Konstantinov, N. André, I. Slavc, H. van Den Berg, A. Kolenova, L. Kren, J. Tuma, J....

. 2016 ; 7 (29) : 46813-46831.

Jazyk angličtina Země Spojené státy americké

Typ dokumentu kazuistiky, časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc18011201

Grantová podpora
NV16-33209A MZ0 CEP - Centrální evidence projektů

Research has exposed cancer to be a heterogeneous disease with a high degree of inter-tumoral and intra-tumoral variability. Individual tumors have unique profiles, and these molecular signatures make the use of traditional histology-based treatments problematic. The conventional diagnostic categories, while necessary for care, thwart the use of molecular information for treatment as molecular characteristics cross tissue types.This is compounded by the struggle to keep abreast the scientific advances made in all fields of science, and by the enormous challenge to organize, cross-reference, and apply molecular data for patient benefit. In order to supplement the site-specific, histology-driven diagnosis with genomic, proteomic and metabolomics information, a paradigm shift in diagnosis and treatment of patients is required.While most physicians are open and keen to use the emerging data for therapy, even those versed in molecular therapeutics are overwhelmed with the amount of available data. It is not surprising that even though The Human Genome Project was completed thirteen years ago, our patients have not benefited from the information. Physicians cannot, and should not be asked to process the gigabytes of genomic and proteomic information on their own in order to provide patients with safe therapies. The following consensus summary identifies the needed for practice changes, proposes potential solutions to the present crisis of informational overload, suggests ways of providing physicians with the tools necessary for interpreting patient specific molecular profiles, and facilitates the implementation of quantitative precision medicine. It also provides two case studies where this approach has been used.

2nd Department of Pediatrics Semmelweis University Budapest Hungary

Antwerp University Hospital Edegem Belgium

Central European Institute of Technology Masaryk University Brno Czech Republic Faculty of Medicine Masaryk University Brno Czech Republic

CSTS Health Care® Toronto Canada

CSTS Health Care® Toronto Canada Computer Science Department University of Massachusetts Amherst MA USA

Department of Paediatric Oncology University Hospital Brno Brno Czech Republic Central European Institute of Technology Masaryk University Brno Czech Republic

Department of Paediatric Oncology University Hospital Brno Brno Czech Republic Faculty of Medicine Masaryk University Brno Czech Republic ICRC St Anna University Hospital Brno Brno Czech Republic

Department of Paediatric Oncology University Hospital Brno Brno Czech Republic Regional Center for Applied Molecular Biology RECAMO Brno Czech Republic

Department of Pathology Tufts Medical Center Boston MA USA

Department of Pathology University Hospital Brno Brno Czech Republic Faculty of Medicine Masaryk University Brno Czech Republic

Department of Pediatric Hematology and Oncology AP HM Marseille France UMR S_911 CRO2 Aix Marseille Université Marseille France

Department of Pediatric Hematology Oncology Floating Hospital for Children at Tufts Medical Center Boston MA USA

Department of Pediatric Hematology Oncology Floating Hospital for Children at Tufts Medical Center Boston MA USA Department of Cell Molecular and Developmental Biology Sackler School of Graduate Biomedical Sciences Tufts University Boston MA USA

Department of Pediatric Hematology Oncology Institute of Pediatrics Faculty of Medicine University of Debrecen Debrecen Hungary

Department of Pediatric Oncology Comenius University Bratislava Slovakia

Department of Pediatric Oncology Emma Children Hospital Academic Medical Centre University of Amsterdam Amsterdam The Netherlands

Department of Pediatrics Medical University of Vienna Vienna Austria

Faculty of Medicine Masaryk University Brno Czech Republic Department of Pediatric Surgery University Hospital Brno Brno Czech Republic

Specialized Children's Oncohematology Hospital Sofia Bulgaria

Citace poskytuje Crossref.org

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$a Research has exposed cancer to be a heterogeneous disease with a high degree of inter-tumoral and intra-tumoral variability. Individual tumors have unique profiles, and these molecular signatures make the use of traditional histology-based treatments problematic. The conventional diagnostic categories, while necessary for care, thwart the use of molecular information for treatment as molecular characteristics cross tissue types.This is compounded by the struggle to keep abreast the scientific advances made in all fields of science, and by the enormous challenge to organize, cross-reference, and apply molecular data for patient benefit. In order to supplement the site-specific, histology-driven diagnosis with genomic, proteomic and metabolomics information, a paradigm shift in diagnosis and treatment of patients is required.While most physicians are open and keen to use the emerging data for therapy, even those versed in molecular therapeutics are overwhelmed with the amount of available data. It is not surprising that even though The Human Genome Project was completed thirteen years ago, our patients have not benefited from the information. Physicians cannot, and should not be asked to process the gigabytes of genomic and proteomic information on their own in order to provide patients with safe therapies. The following consensus summary identifies the needed for practice changes, proposes potential solutions to the present crisis of informational overload, suggests ways of providing physicians with the tools necessary for interpreting patient specific molecular profiles, and facilitates the implementation of quantitative precision medicine. It also provides two case studies where this approach has been used.
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