Literature DB >> 24193003

Pyrosequencing for EGFR mutation detection: diagnostic accuracy and clinical implications.

Nora Sahnane1, Rossana Gueli, Maria G Tibiletti, Barbara Bernasconi, Michele Stefanoli, Francesca Franzi, Graziella Pinotti, Carlo Capella, Daniela Furlan.   

Abstract

EGFR-activating mutations predict responsiveness to EGFR tyrosine kinase inhibitors (TKIs) in non-small cell lung cancer (NSCLC) patients. Mutation screening is crucial to support therapeutic decisions and is commonly conducted using dideoxy sequencing, although its sensitivity is suboptimal in clinical settings. To evaluate the diagnostic performance of pyrosequencing and dideoxy sequencing, we examined EGFR mutation status in a retrospective cohort of 53 patients with NSCLCs clinically selected for TKI therapy and whose clinical outcome was available. Moreover, pyrosequencing quantitative results were compared with EGFR amplification data. EGFR mutations were investigated by pyrosequencing and by dideoxy sequencing. Detection rates of both methods were determined by titration assays using NCI-H1975 and HCC-827 cell lines. Increased EGFR copy number was assessed by fluorescence in situ hybridization (FISH). Pyrosequencing showed a higher detection rate than dideoxy sequencing. Tumor control rate of cases with mutant and wild-type EGFR was 86% and 29%, respectively. EGFR amplification was significantly associated with EGFR mutation and a positive correlation between high percentages of mutant alleles and clinical response to TKI was observed. We concluded that pyrosequencing is more sensitive than dideoxy sequencing in mutation screening for EGFR mutations. Detection rate of dideoxy sequencing was suboptimal when low frequencies of mutant alleles or low tumor cell contents were observed. Pyrosequencing enables quantification of mutant alleles that correlates well with increased EGFR copy number assessed by FISH. Pyrosequencing should be used in molecular diagnostic of NSCLC to appropriately select patients who are likely to benefit from TKI therapy.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24193003     DOI: 10.1097/PDM.0b013e3182893f55

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  4 in total

Review 1.  Epidermal growth factor receptor in non-small cell lung cancer.

Authors:  Charles N Prabhakar
Journal:  Transl Lung Cancer Res       Date:  2015-04

2.  Validation of ZAP-70 methylation and its relative significance in predicting outcome in chronic lymphocytic leukemia.

Authors:  Rainer Claus; David M Lucas; Amy S Ruppert; Katie E Williams; Daniel Weng; Kara Patterson; Manuela Zucknick; Christopher C Oakes; Laura Z Rassenti; Andrew W Greaves; Susan Geyer; William G Wierda; Jennifer R Brown; John G Gribben; Jacqueline C Barrientos; Kanti R Rai; Neil E Kay; Thomas J Kipps; Peter Shields; Weiqiang Zhao; Michael R Grever; Christoph Plass; John C Byrd
Journal:  Blood       Date:  2014-05-27       Impact factor: 22.113

3.  Prediction of PIK3CA mutations from cancer gene expression data.

Authors:  Jun Kang; Ahwon Lee; Youn Soo Lee
Journal:  PLoS One       Date:  2020-11-09       Impact factor: 3.240

4.  Optimization of EGFR mutation detection by the fully-automated qPCR-based Idylla system on tumor tissue from patients with non-small cell lung cancer.

Authors:  Marius Ilie; Catherine Butori; Sandra Lassalle; Simon Heeke; Nicolas Piton; Jean-Christophe Sabourin; Virginie Tanga; Kevin Washetine; Elodie Long-Mira; Priscilla Maitre; Nathalie Yazbeck; Olivier Bordone; Virginie Lespinet; Sylvie Leroy; Charlotte Cohen; Jérôme Mouroux; Charles Hugo Marquette; Véronique Hofman; Paul Hofman
Journal:  Oncotarget       Date:  2017-10-04
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.