2018
MicroRNAs Expression Model Predicts Time to Local Recurrence in Head and Neck Squamous Cell Carcinoma
HERMANOVÁ, Markéta; Parwez AHMAD; Jiří ŠÁNA; Marek SLÁVIK; Tetiana SHATOKHINA et. al.Basic information
Original name
MicroRNAs Expression Model Predicts Time to Local Recurrence in Head and Neck Squamous Cell Carcinoma
Authors
HERMANOVÁ, Markéta (203 Czech Republic, belonging to the institution); Parwez AHMAD (356 India, belonging to the institution); Jiří ŠÁNA (203 Czech Republic, belonging to the institution); Marek SLÁVIK (703 Slovakia, belonging to the institution); Tetiana SHATOKHINA (804 Ukraine, belonging to the institution) and Ondřej SLABÝ (203 Czech Republic, guarantor, belonging to the institution)
Edition
107th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP), 2018
Other information
Language
English
Type of outcome
Conference abstract
Field of Study
30200 3.2 Clinical medicine
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Impact factor
Impact factor: 6.365
RIV identification code
RIV/00216224:14740/18:00106509
Organization unit
Central European Institute of Technology
ISSN
UT WoS
000429308603204
Keywords in English
MicroRNA; Carcinoma
Tags
Tags
International impact
Changed: 6/3/2019 14:03, Mgr. Pavla Foltynová, Ph.D.
Abstract
V originále
The aim of this study was to discover a set of MicroRNAs (Mirnas) which will predict the radiation therapy response in head and neck squamous cell cancer (HNSCC) patients and be able to predict the locoregional control ( LRC) and classify these patients according to the time to local progression.
Links
| LQ1601, research and development project |
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| NV15-31627A, research and development project |
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