Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/19226
Title: Diversity, frequency, and significance of the methods for detection EGFR variants in NSCLC patients
Authors: Obradović, Jasmina
Todosijević, Jovana
Jurisic, Vladimir
Issue Date: 2021
Abstract: Lung cancer is the leading cause of death worldwide with non-small cell lung cancer (NSCLC) as its predominant form. Variants in the epidermal growth factor receptor (EGFR) gene highly correlated with survival in NSCLC patients. The aim of this literature search was screening or target methods for the EGFR variants detection with diagnostic and prognostic potential in the clinical and basic research. The three electronic databases, ISI Web of Science, Pub Med, and Scopus were searched with specific key-words matching the inclusion criteria. The studies were considered eligible if they were published from 2010 until 2020 without region restriction. Otherwise, reviews, meta-analyses, editorials, case reports, and duplicates were excluded. The obtained 5647 articles were screened with the final 1132 full-text articles included in qualitative analysis. The final result showed that over the years the polymerase chain reaction (PCR), followed by sequencing methods were mostly applied in clinical research, while the western blot (WB) techniques were predominant in basic research. For all of the screened methods, the highest score was detected in Asia. Upgraded or recently developed methods were found with this search, but in smaller frequencies than conventional methods, which is probably due to equipment or expertise restriction. On the other side, the cost-effectiveness and adaptability of the conventional methods made them widely applied in the detection of EGFR variants to improve progression-free and overall survival in NSCLC patients.
URI: https://scidar.kg.ac.rs/handle/123456789/19226
Type: conferenceObject
Appears in Collections:Institute for Information Technologies, Kragujevac

Page views(s)

21

Downloads(s)

5

Files in This Item:
File Description SizeFormat 
2021_ENABLE_Jasmina Obradovic_abstract.pdf12.21 kBAdobe PDFThumbnail
View/Open
Certificat_Jasmina Obradovic.pdf27.15 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.