Detailed Information on Publication Record
2016
Future paradigms for precision oncology
KLEMENT, Giannoula Lakka, Knarik ARKUN, Dalibor VALÍK, Tina ROFFIDAL, Ali HASHEMI et. al.Basic information
Original name
Future paradigms for precision oncology
Authors
KLEMENT, Giannoula Lakka (840 United States of America), Knarik ARKUN (840 United States of America), Dalibor VALÍK (203 Czech Republic, belonging to the institution), Tina ROFFIDAL (840 United States of America), Ali HASHEMI (124 Canada), Christos KLEMENT (124 Canada), Paolo CARMASSI (124 Canada), Edward RIETMAN (124 Canada), Ondřej SLABÝ (203 Czech Republic, belonging to the institution), Pavel MAZÁNEK (203 Czech Republic, belonging to the institution), Peter MÚDRY (203 Czech Republic, belonging to the institution), Gabor KOVACS (348 Hungary), Csongor KISS (348 Hungary), Koen NORGA (56 Belgium), Dobrin KONSTANTINOV (100 Bulgaria), Nicolas ANDRÉ (250 France), Irene SLAVC (40 Austria), Henk van DEN BERG (528 Netherlands), Alexandra KOLENOVA (703 Slovakia), Leoš KŘEN (203 Czech Republic), Jiří TŮMA (203 Czech Republic, belonging to the institution), Jarmila SKOTÁKOVÁ (203 Czech Republic, belonging to the institution) and Jaroslav ŠTĚRBA (203 Czech Republic, guarantor, belonging to the institution)
Edition
Oncotarget, Albany, Impact Journals, 2016, 1949-2553
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30200 3.2 Clinical medicine
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 5.168
RIV identification code
RIV/00216224:14110/16:00088934
Organization unit
Faculty of Medicine
UT WoS
000385402300150
Keywords in English
precision medicine; targeted therapy; genomics; metronomic chemotherapy
Tags
Tags
International impact, Reviewed
Změněno: 26/4/2021 13:27, Mgr. Tereza Miškechová
Abstract
V originále
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.
Links
LM2015090, research and development project |
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LQ1601, research and development project |
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NV16-33209A, research and development project |
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NV16-34083A, research and development project |
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90089, large research infrastructures |
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