Laboratory Medicine ›› 2017, Vol. 32 ›› Issue (11): 1055-1058.DOI: 10.3969/j.issn.1673-8640.2017.011.026

• Orginal Article • Previous Articles     Next Articles

External quality assessment for epidermal growth factor receptor gene mutation determination in Shanghai

JIANG Lingli, XIAO Yanqun, WANG Xueliang, BAO Yun, YANG Yixiao, WANG Hualiang   

  1. Shanghai Center for Clinical Laboratory,Shanghai 200126,China
  • Received:2017-01-20 Online:2017-11-30 Published:2017-12-07

Abstract:

Objective To evaluate the external quality assessment(EQA) performance for epidermal growth factor receptor(EGFR) gene mutation determination in Shanghai,and to discuss and solve the problems in clinical laboratories in order to improve determination quality. Methods EQA program for EGFR determination was set twice a year. Each sample panel of 2016 EQA program contained 5 samples. The participating laboratories were asked to report their results before deadline. The scores of EQA and the overall coincidence rate of each sample were calculated. The overall coincidence rate of positive samples and negative ones were also calculated. Results In 2016,25 and 30 valid laboratory results were received. Totally,20(80%)and 26(87%)laboratories submitted correct results for all samples,and the EQA score of 0(0%) and 1(3%) laboratory was <80. The highest coincidence rate of the samples was 100%,and the lowest rate was 88%. The overall coincidence rates of positive samples and negative ones were 95.76% and 97.27%,respectively. Missed determination in composite mutation samples was a major cause for inconsistency,which was up to 50%(5/10). Conclusions The results of 2016 EQA program suggest that the overall coincidence rate of laboratories enrolled is high,while there exists problems in some laboratories. Missed determination in composite mutation samples is a major cause for inconsistency. Quality control in clinical laboratories is essential to assure accuracy of results.

Key words: Epidermal growth factor receptor, Gene mutation, External quality assessment

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