Background: Targeted therapy using tyrosine kinase inhibitors in cases of non-small-cell lung carcinoma (NSCLC) that harbor epidermal growth factor receptor (EGFR) mutations has drastically improved the overall survival rate. The current study estimated the frequency of EGFR mutations in the Indian population by analyzing the diagnostic parameters of various techniques available for the detection of these mutations. Materials and Methods: A case series of 100 histologically diagnosed and immunohistochemically confirmed NSCLC with the adenocarcinoma phenotype comprises the study sample. EGFR mutations were detected using clone-specific immunohistochemistry (IHC), real-time polymerase chain reaction (PCR), and Sanger sequencing. Results: EGFR mutations were identified in 48% cases with 72.78% mutations involving exon 19. Clone-specific IHC had a low sensitivity of 46.43%, and the specificity was 79.17%. Sanger sequencing yielded interpretable results in 16% cases only, which were in concordance with the results of real-time PCR. Conclusion: EGFR mutations are increasingly being explored for targeted therapy and personalized medicine. Real-time PCR was found to be the best and the most accurate method for the detection of somatic EGFR mutations in adenocarcinoma primarily in the lungs.
机构:
Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Allo, Ghassan
Bandarchi, Bizhan
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Univ Calif Los Angeles, Dept Pathol, Los Angeles, CA 90024 USAUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Bandarchi, Bizhan
Yanagawa, Naoki
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Yanagawa, Naoki
Wang, Ami
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Wang, Ami
Shih, Warren
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Shih, Warren
Xu, Jing
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Xu, Jing
Dalby, Morgan
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Ventana Med Syst, Tucson, AZ USAUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Dalby, Morgan
Nitta, Hiroaki
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Ventana Med Syst, Tucson, AZ USAUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Nitta, Hiroaki
To, Christine
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
To, Christine
Liu, Ni
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Liu, Ni
Sykes, Jenna
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Univ Hlth Network, Princess Margaret Canc Ctr, Dept Biostat, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Sykes, Jenna
Tsao, Ming S.
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Univ Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada
Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, CanadaUniv Hlth Network, Dept Pathol, Princess Margaret Canc Ctr, Toronto, ON, Canada