EGFR analysis on scrapings from cytology smears in lung carcinoma, an effective alternative to testing on trucut biopsies.

BACKGROUND: Lung carcinomas are a leading cause of cancer morbidity and mortality. Many cases present at an advanced stage of disease where definitive treatment by surgical resection is not feasible. Molecular testing using materials derived from minimally invasive procedures aid in targeted therapy with least iatrogenic burden to the patient. METHODS: Cases diagnosed as non-small cell lung carcinoma (NSCLC) on cytology were included in the study. Scrapings from the smears with adequate tumor cell load were submitted for molecular testing. The DNA was extracted and quantified. Mutations in exons 18, 19, 20, and 21 of the EGFR gene were detected using Sanger sequencing. DNA quantity and EGFR mutation status on equal number of consecutive trucut biopsy specimens were also analyzed. RESULTS: Seventy cases of NSCLC tested for EGFR mutation had a median DNA concentration of 40.2 ng/µl and 31% cases showed mutation. Majority of mutations (14/21, 66.66%) were identified in exon 19. Among 70 trucut biopsy samples, DNA concentration was 41.42 ng/µl and 30% cases showed mutation. No significant difference was seen in DNA quantity and EGFR mutation between cytology smears and trucut biopsies. CONCLUSION: EGFR testing on cytology smears provides adequate DNA yield with minimal invasiveness and is equally effective as biopsies. Testing on samples like pleural effusion allows for concomitant diagnosis, staging, and molecular testing in one procedure. Tests done on the smears rather than on cell block or trucut biopsies ensures superior quality DNA from the tumor cells as they are unexposed to cross linking formalin fixative.

Somatic mutation detection efficiency in EGFR: a comparison between high resolution melting analysis and Sanger sequencing.

BACKGROUND: High resolution melting curve analysis is a cost-effective rapid screening method for detection of somatic gene mutation. The performance characteristics of this technique has been explored previously, however, analytical parameters such as limit of detection of mutant allele fraction and total concentration of DNA, have not been addressed. The current study focuses on comparing the mutation detection efficiency of High-Resolution Melt Analysis (HRM) with Sanger Sequencing in somatic mutations of the EGFR gene in non-small cell lung cancer. METHODS: The minor allele fraction of somatic mutations was titrated against total DNA concentration using Sanger sequencing and HRM to determine the limit of detection. The mutant and wildtype allele fractions were validated by multiplex allele-specific real-time PCR. Somatic mutation detection efficiency, for exons 19 & 21 of the EGFR gene, was compared in 116 formalin fixed paraffin embedded tumor tissues, after screening 275 tumor tissues by Sanger sequencing. RESULTS: The limit of detection of minor allele fraction of exon 19 mutation was 1% with sequencing, and 0.25% with HRM, whereas for exon 21 mutation, 0.25% MAF was detected using both methods. Multiplex allele-specific real-time PCR revealed that the wildtype DNA did not impede the amplification of mutant allele in mixed DNA assays. All mutation positive samples detected by Sanger sequencing, were also detected by HRM. About 28% cases in exon 19 and 40% in exon 21, detected as mutated in HRM, were not detected by sequencing. Overall, sensitivity and specificity of HRM were found to be 100 and 67% respectively, and the negative predictive value was 100%, while positive predictive value was 80%. CONCLUSION: The comparative series study suggests that HRM is a modest initial screening test for somatic mutation detection of EGFR, which must further be confirmed by Sanger sequencing. With the modification of annealing temperature of initial PCR, the limit of detection of Sanger sequencing can be improved.