Detection of EGFR mutations in patients with non-small cell lung cancer by high resolution melting. Comparison with other methods

Author(s):  
Carlos Martínez-Carretero ◽  
Fernando Iguaz Pascual ◽  
Antonio Rus ◽  
Ivan Bernardo

AbstractBackground:The discovery of mutations in the epidermal growth factor receptor gene (Methods:We developed a screening method by high resolution melting (HRM) to detectResults:Eight samples showed discordant results between both methods. Three samples with negative results by allele specific PCR and positive by HRM were confirmed by Sanger sequencing (p.S768I+p.V769L, T751_I759del and p.E709K+p.G719A; patients 1, 3 and 4, respectively). One sample with a negative result by HRM, and positive by allele specific PCR (p.T790M; patient 2), was confirmed by Sanger sequencing. Additionally, two positive samples for a deletion in exon 19 by allele-specific PCR, were negative by Sanger sequencing and HRM (patients 2 and 5) and finally, two samples were negative by allele-specific PCR and positive by HRM and Sanger sequencing due to synonymous variants in exon 21.Conclusions:HRM is a good method for mutational screening in

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21516-e21516
Author(s):  
Yukti Choudhury ◽  
Wai Min Phyo ◽  
Jing Shan Lim ◽  
Chaitanya Gupta ◽  
Yiliang Ho ◽  
...  

e21516 Background: The utility of a liquid biopsy test for diagnosis and treatment is determined by its accuracy, molecular target coverage and timeliness to a clinically informative result. We describe our clinical experience of providing comprehensive next-generation sequencing (NGS) plasma testing for advanced lung cancer cases, including parallel testing with allele-specific PCR (AS-PCR) for rapid EGFR mutation detection. Methods: Plasma cell-free DNA (cfDNA) from advanced lung cancer patients (n = 374) underwent real-world testing with an amplicon-based NGS assay, in a CAP and ISO15189 accredited central laboratory. The assay covers 51 genes, including 8 guideline recommended biomarkers- EGFR, BRAF, MET, ALK, RET, ROS1, ERBB2 and KRAS. 168 cases (44.9%) were treatment-naïve (baseline) and 206 cases (55.1%) had received one or more lines of treatment. Parallel testing with AS-PCR for 10 specific EGFR mutations was done for 151 cases (90 baseline, 61 non-baseline). Concordance of EGFR mutation detection by the two methods, and the frequency of detection of clinically actionable (driver) mutations by NGS were assessed. Turnaround time (TAT) was calculated from sample receipt. Results: An overall concordance of 97.4% was observed for EGFR mutations between AS-PCR and NGS. When restricted to baseline cases, concordance was 100%. Among baseline cases which were concordant with AS-PCR for EGFR negativity (n = 63), driver mutations were identified in EGFR (n = 7 rarer mutations), KRAS, ERBB2, MET, NRAS, BRAF and ALK (n = 16 total) by NGS, providing an additional 37% diagnostic yield (23/63 cases). Among all baseline cases tested by NGS, a driver gene mutation was found in 64.28% of cases, including EGFR (36.9%) and KRAS mutations (11.9 %). Among non-baseline cases which were EGFR-negative by NGS and by AS-PCR, added diagnostic yield provided by NGS was 33.3% (10 of 30 cases), and included 16.7% rarer EGFR mutations. Overall, detection rate of ALK, RET, ROS1 fusions was 2.4% (n = 5, 3 and 1, respectively). Median TAT for EGFR results by AS-PCR was 1 day (range 1-2 days), while median TAT for NGS results was 10 days (range 4-13 days). Conclusions: We report excellent real-world performance of blood-based liquid biopsy testing for detecting recommended biomarkers in lung cancers, including an approach combining two orthogonal platforms for quick decision making. Clinically meaningful diagnostic yields can be obtained using a timely comprehensive NGS assay, either individually or in parallel with rapid AS-PCR testing.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2760-2760
Author(s):  
Richard D. Press ◽  
Fei Yang

Abstract Abstract 2760 Introduction: Although most CML patients treated with tyrosine kinase inhibitors (TKI's) achieve durable responses, some develop drug resistance that is usually due to a heterogeneous array of acquired mutations in the BCR-ABL kinase domain (KD). While many of these mutations confer resistance to imatinib, most (but not all) of these mutations will respond to a second-generation TKI (dasatinib or nilotinib). The qualitative detection of KD mutations, typically by direct DNA sequencing, is thus required for the optimal management of suspected drug resistance. Once a specific mutation is identified, however, a laboratory method to quantitatively monitor the mutation's subsequent response to the new therapy would be desirable. Toward that goal, we have developed and validated 2 different laboratory assays for the quantitative analysis of BCR-ABL KD mutations – pyrosequencing, and allele-specific PCR – and report their performance in the long-term serial monitoring of drug resistant CML patients. Methods: For pyrosequencing, sequencing primers were designed 1–28 nucleotides adjacent to the polymorphic sites of common KD variants T315I, M351T, Y253H/F, E255K, F359V, M244V, Q252H, and G250E, and quantitation of mutant allele burdens was accomplished with the SNP-AQ function of the PyroMark ID instrument (Qiagen). For allele-specific PCR, real-time PCR primers were designed that preferentially amplified the mutant allele of common variants T315I, M351T, Y253H, E255K, and F359V. The 17 patients included in this retrospective study were all of those from our institution with a known KD mutation at any of the 5 loci targeted by our allele-specific PCR assays and with at least 5 available archival samples (from each patient) with known Sanger sequence information. Results: Of the 17 patients (65% male, average age=51), 16 had CML (1 had Ph+-ALL), and all were treated with imatinib as the initial TKI. 11 of the 17 patients achieved a major molecular response on imatinib. The total follow-up duration, from the time of imatinib initiation, was 6.9 years [median (IQR 4.0–8.8)], during which samples for BCR-ABL RQ-PCR were drawn every 3.0 months [median (IQR 1.9–4.2)]. The second-generation TKI was dasatinib in 9 patients, nilotinib in 1 patient, and AP24534 in one patient. The spectrum of KD mutations included T315I (8 pts), M351T (3 pts), Y253H/F (4 pts), E255K (4 pts), F359V (4 pts), Q252H (2 pts), and G250E (2 pts). Eight patients had 2 different KD mutations, and one patient had 3 different mutations. The first detectable KD mutation was found after 1.7 years of TKI therapy [median (IQR 1.0–2.0)]. From these 17 patients, 269 archival samples were available for quantitation of the mutation burden by pyrosequencing and allele-specific PCR [median 17 samples per patient (IQR 8–27)]. For allele-specific PCR (AS-PCR), the lower limit of detection was 100 copies of mutant DNA per PCR reaction. For pyrosequencing (Pyro), the lowest BCR-ABL transcript level that reliably yielded a signal above background was ∼0.03% on the international scale, and a mutant allele burden below 5% could not be reliably detected. For Sanger sequencing, a mutant allele burden below ∼20% could not be reliably detected. Of the 217 samples for which readable data could be generated by both Pyro & AS-PCR, AS-PCR was slightly more sensitive for the detection of a KD mutation - yielding positive results in 84 samples, as compared to 79 mutations detectable with Pyro. In contrast, Sanger sequencing detected slightly fewer mutations than either Pyro or AS-PCR, consistent with its presumed lower detection sensitivity. In 12 patients, there were a total of 48 samples that had a KD mutation detectable by both Pyro and allele-specific PCR in both the analyzed sample and an immediately prior sample, allowing a “delta allele burden” value to be calculated. The change in mutant allele burden between consecutively drawn sample pairs was no different for allele burdens quantitated by pyrosequencing as compared to those quantitated by allele-specific PCR (average 0.05 log difference; P>0.8). Conclusions: Quantitative monitoring of the BCR-ABL kinase domain mutation allele burden can be accurately accomplished with either pyrosequencing or allele-specific PCR. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1053-1053
Author(s):  
Valerie Trapp-Stamborski ◽  
Stefanie N Dugan ◽  
Kenneth D Friedman ◽  
Matthew Anderson ◽  
Rupa A Udani

Abstract Atypical Hemolytic Uremic Syndrome (aHUS) is a rare disease of hemolysis, thrombocytopenia, and organ dysfunction (predominantly renal or CNS) that is often attributed to mutations in the alternate pathway of the complement system. To aid in the evaluation of patients with aHUS, a 15-gene next generation sequencing (NGS) panel was developed. Included in the panel are several genes within the highly homologous region of complement activation (RCA). Sixteen exon pairs across five genes in this region (CFH, CFHR1, CFHR3, CFHR4, and CFHR5) have greater than 95% sequence identity. This leads to difficulties in aligning corresponding NGS reads to the appropriate exons. Accordingly, reference databases for normal populations, as generated by whole genome or whole exome sequencing, are lacking in variant frequency data for these and many other highly-homologous genes, leaving an increased dependence on predictive tools in attempt to classify the pathogenicity of variants. A detail-oriented approach, including allele-specific PCR and Sanger sequencing of longer amplicons to confirm appropriate alignment of reads, allowed for interrogation of these difficult regions for which polymorphism frequency data is sparse. An example of a challenging NGS alignment is reads attributed to CFHR3 exon 5 or CFHR4 exon 9. The reference sequences for these exons differ by one base pair, which correspond to CFHR3 c.721 C and CFHR4 c.1415 T. Combining allele-specific PCR and Sanger sequencing uncovered a variant in CFHR3 (c.721C>T) which corresponds to the reference nucleotide for CFHR4. Allele-specific PCR involved designing primers in the introns of these genes which results in sequencing a region 770 bases long, or more than three times the length of a typical NGS read. Due to the length of the sequence identity, the NGS read corresponding to this variant always aligned bioinformatically to the incorrect gene (CFHR4) as the reference allele. The variant was analyzed with several algorithms including SIFT, Polyphen2, Condel, and Mutation Taster which predicted it was benign, but the accuracy of these tools is uncertain. This variant was not previously reported in either aHUS patients or the normal population; however, over a 16 month period, allele-specific PCR and Sanger sequencing for this variant of unknown significance was performed on all patient samples and was detected in 14% of the samples tested. In order to better categorize the pathogenicity of the variant, it was necessary to determine whether the subset of patient DNA tested was enriched for the variant because it was associated with aHUS, or whether the variant was present at such a high frequency in the normal population. A high-throughput melt-curve assay was developed. CFHR3 exon 5 and a portion of the adjacent introns was amplified by allele specific PCR and melting curve analysis was performed to determine the genotype using FRET probe technology on the LC480 instrument. DNA extracted from normal blood donor samples, including 96 African Americans, 74 Caucasians, and 112 Hispanics were screened. Overall, 31% of the population was heterozygous for the variant and 16% of the population was homozygous for the variant. The allele was most common in the African American population where 25% of the population was homozygous for the variant and least common in the Caucasian population where 68% of the population was wild-type. This data provides evidence that the variant is benign and not associated with an increased risk of aHUS. Focused large-gene panels, such as this one for aHUS, highlight the ability to meet challenges associated with NGS technology in regions of high sequence identity. We presented our approach for resolution of sequencing information to allow for appropriate classification of variant pathogenicity, resulting in decreased reporting of clinically insignificant results. Disclosures Friedman: Novo Nordisk: Consultancy; Alexion: Speakers Bureau; Instrumentation Laboratories: Consultancy; CSL Behring: Consultancy, Honoraria.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 8042-8042
Author(s):  
Lian Xu ◽  
Zachary R Hunter ◽  
Guang Yang ◽  
Yang Cao ◽  
Xia Liu ◽  
...  

8042 Background: Waldenström’s macroglobulinemia (WM) is a B-cell malignancy characterized by bone marrow (BM) infiltration with lymphoplasmacytic cells and production of an IgM paraprotein. By whole genome sequencing, we recently identified a somatic mutation (L265P) in the MYD88 gene in 27/30 (90%) WM patients (Treon et al, ASH 2011). To expand this finding for possible diagnostic testing, we developed an allele-specific PCR assay for MYD88 L265P and evaluated this assay in a large cohort of WM patients. Methods: An allele-specific PCR assay was developed with a threshold of detection of 0.125% for MYD88 L265P. DNA from bone marrow aspirates from 99 patients with the clinicopathological diagnosis of WM was used for assessment of MYD88 L265P expression by both allele-specific PCR and Sanger sequencing. Findings were correlated with clinical parameters using ANOVA. Results: We observed that 85/99 (86%) WM patients were positive for MYD88 L265P using the allele-specific PCR assay. Of the 85 allele-specific PCR positive patients, 81 demonstrated a detectable mutation peak by Sanger sequencing. All 14 allele-specific PCR negative patients remained negative by Sanger sequencing. By the allele-specific PCR assay, MYD88 L265P positive patients showed greater bone marrow involvement, higher serum IgM and lower serum IgA and IgG levels versus MYD88 L265P negative patients (p<0.008). Conclusions: MYD88 L265P is highly expressed in BM samples of WM patients using an allele-specific PCR assay, and is associated with greater bone marrow disease burden and serum IgM levels. Use of allele-specific PCR provides a simple and sensitive diagnostic tool for detection of the MYD88 L265P mutation.


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