Abstract A131: Comparison of next-generation sequencing results between brain metastasis and blood in NSCLC patients with acquired EGFR-TKI resistance other than T790M mutation

Author(s):  
Hee Yeon Lee ◽  
Jeong-Oh Kim ◽  
Jin-Hyoung Kang
2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21563-e21563
Author(s):  
Jiangtao Cheng ◽  
YiHui Yao ◽  
Yu-Er Gao ◽  
Shi-Ling Zhang ◽  
Hua-Jun Chen ◽  
...  

e21563 Background: Osimertinib is standard of care for patients with advanced non–small-cell lung cancer (NSCLC) carrying acquired epidermal growth factor receptor ( EGFR) T790M mutation. However, few studies have been conducted to investigate the impact of rebiopsy on clinical outcomes after resistance to osimertinib. We evaluated whether next-generation sequencing (NGS) of tissue and liquid rebiopsy could favor post-progression outcomes of T790M-positive advanced NSCLC patients treated with osimertinib. Methods: Immediately just after resistance to second- or further-line osimertinib, advanced NSCLC patients with acquired EGFR T790M mutation were retrospectively divided into the NGS and non-NGS groups according to whether they underwent NGS of tissue or liquid rebiopsy. The co-primary endpoints were post-progression survival (PPS) defined as the time from osimertinib resistance to subsequent-line treatment resistance, and post-progression overall survival (pOS) defined as from osimertinib resistance to death or end of the last follow-up. Multivariable analyses were done using Cox proportional hazards regression model and log-rank test. Results: Between January 2017 and July 2019, 89 patients (62 vs. 27 for the NGS and non-NGS groups respectively) were eligible for final analyses. In the NGS group, 3.2% (2/62) underwent tissue rebiopsy only, 29.0% (18/62)only had liquid rebiopsy, and 66.8% (42/62)with both tissue and liquid rebiopsy.The NGS group received more targeted or combined therapy after resistance to osimertinib (62.9% vs. 40.8%, P= 0.053). The NGS group was significantly superior to the non-NGS group in the co-primary endpoints. The median PPS was 6.1 vs. 2.7 months (hazard ratio [HR], 0.49; 95%CI, 0.30 to 0.80; 2-sided log-rank P= 0.004). Meanwhile, the median pOS was 11.7 vs. 6.8 months (HR, 0.50; 95%CI, 0.29 to 0.85, 2-sided log-rank P= 0.009). Conclusions: Providing more opportunities for individualized treatment, NGS of tissue and liquid rebiopsy favors post-progression outcomes of EGFR T790M-positive advanced NSCLC patients treated with osimertinib.


2020 ◽  
Vol 58 (2) ◽  
pp. 306-313 ◽  
Author(s):  
Mariano Provencio ◽  
Clara Pérez-Barrios ◽  
Miguel Barquin ◽  
Virginia Calvo ◽  
Fabio Franco ◽  
...  

AbstractBackgroundNon-small cell lung cancer (NSCLC) patients benefit from targeted therapies both in first- and second-line treatment. Nevertheless, molecular profiling of lung cancer tumors after first disease progression is seldom performed. The analysis of circulating tumor DNA (ctDNA) enables not only non-invasive biomarker testing but also monitoring tumor response to treatment. Digital PCR (dPCR), although a robust approach, only enables the analysis of a limited number of mutations. Next-generation sequencing (NGS), on the other hand, enables the analysis of significantly greater numbers of mutations.MethodsA total of 54 circulating free DNA (cfDNA) samples from 52 NSCLC patients and two healthy donors were analyzed by NGS using the Oncomine™ Lung cfDNA Assay kit and dPCR.ResultsLin’s concordance correlation coefficient and Pearson’s correlation coefficient between mutant allele frequencies (MAFs) assessed by NGS and dPCR revealed a positive and linear relationship between the two data sets (ρc = 0.986; 95% confidence interval [CI] = 0.975–0.991; r = 0.987; p < 0.0001, respectively), indicating an excellent concordance between both measurements. Similarly, the agreement between NGS and dPCR for the detection of the resistance mutation p.T790M was almost perfect (K = 0.81; 95% CI = 0.62–0.99), with an excellent correlation in terms of MAFs (ρc = 0.991; 95% CI = 0.981–0.992 and Pearson’s r = 0.998; p < 0.0001). Importantly, cfDNA sequencing was successful using as low as 10 ng cfDNA input.ConclusionsMAFs assessed by NGS were highly correlated with MAFs assessed by dPCR, demonstrating that NGS is a robust technique for ctDNA quantification using clinical samples, thereby allowing for dynamic genomic surveillance in the era of precision medicine.


2019 ◽  
Vol 14 (10) ◽  
pp. S423
Author(s):  
E. Sánchez Herrero ◽  
M. Barquin ◽  
V. Calvo De Juan ◽  
M. Auglyte ◽  
R. Garcia Campelo ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 384-384 ◽  
Author(s):  
Yucel Erbilgin ◽  
Ahmet Emre Eskazan ◽  
Ozden Hatirnaz Ng ◽  
Ayse Salihoglu ◽  
Tugrul Elverdi ◽  
...  

Abstract Background and Aim BCR-ABL1 mutation testing is recommended for chronic myeloid leukemia (CML) patients who have suboptimal response and/or treatment failure with tyrosine kinase inhibitor (TKI) therapy. BCR-ABL1 mutations in the kinase domain (KD) of ABL1 account for at least 40-50% of all TKI resistant cases. Thus, detection of low-level mutations after development of resistance may offer critical information to guide subsequent therapy selection. The current gold standard for BCR-ABL1 mutation detection is Sanger sequencing (SS), which has an analytical sensitivity of approximately 10-20%. In this study, our aim was to detect low level BCR-ABL1 variants in follow up samples of CML patients with TKI resistance using next-generation sequencing (NGS) approach. Methods Eight patients with CML who were resistant to imatinib had been routinely sequenced with SS for BCR-ABL1 KD mutations between December 2009 and December 2012. We then retrospectively analyzed these samples with NGS. RT and long range PCR was performed to amplify BCR-ABL1 fusion transcripts and the PCR products sequenced bidirectional after library preparation. We performed a fusion transcript based BCR-ABL1 mutation assay using Roche 454 amplicon deep-sequencing technology that is suited for detecting low level variants in pooled amplicon samples. Sequencing data was analyzed with GS Amplicon Variant Analyzer (AVA) software, and the variant frequency cut-off was adjusted to 1%. Results Clinical features, sequencing results, and the outcomes of the patients were summarized in Table 1. Four patients were male, and the median age was 37 years (range, 20-60 years). The patients were all in chronic phase at the time of the diagnosis. After imatinib resistance, 4 patients had received dasatinib (DAS), and 2 were given nilotinib (NIL) as second line TKI treatment. The remaining two patients had both received DAS and NIL (Table 1). In a set of 20 clinical samples, at different time points, NGS not only identified all the mutations detected by SS, but additionally identified low level variants present between 1 – 28.12 %. T315I and E255K/V were the most common mutations, which were detected in four patients, both by SS and NGS at the same time points (Table 1). Two patients (patient #1 and #4) had T315I, and they both progressed to blastic phase and died. E255K was detected in patients #2 and #3, and patient #2 had achieved and maintained complete cytogenetic and major molecular responses with 100 mg daily DAS, whereas patient #3 had received both NIL and DAS, but she was deceased due to myeloid blastic crisis. Among 4 patients (patients #5, #6, #7, and #8), mutation analysis was performed at eleven different time points, and these patients were wild-type with SS. We also did not detect any clinically significant mutations in these patients by NGS. Most probably mechanisms other than KD mutations were responsible for the TKI resistance among these four patients. Conclusions Polyclonal mutations in BCR-ABL1 KD are commonly identified in TKI resistant patients. Thus, detection of low-level mutations after development of resistance offers critical information to guide subsequent therapy selection. An inappropriate kinase inhibitor selection could highly increase the risk of treatment failure with clonal expansion of the resistant mutant. In our imatinib resistant cohort, we detected low level variants accompany to known mutations which may constitute background genetic variations. Although we had expected to detect mutations earlier by NGS (i.e. before these mutations can be detected by SS), we did not observe such finding in our patients. The patients' samples may not show a stable mutation spectrum between time points. Hence, it is not always possible to spot a mutation before patients show resistance to therapy. Regular NGS analysis might detect these mutations in earlier phases, which might help clinicians to choose the most suitable individual treatment modality for the patients. Acknowledgment The authors would like to thank the Interlaboratory Robustness of Next-generation sequencing (IRON) Phase II study group members, especially to Simona Soverini and Alexander Kohlmann who designed BCR-ABL primers and plates. We also would like to thank the Research Fund of the Istanbul University (Project no. 24244) and Turkish Society of Hematology for supporting the study. Disclosures: Sayitoglu: Roche Diagnostics: Research Support Other.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 7060-7060
Author(s):  
Sandra Gallach ◽  
Eloisa Jantus-Lewintre ◽  
David Montaner ◽  
Marta Usó ◽  
Elena Sanmartin ◽  
...  

7060 Background: Early-stage NSCLC has a relapse rate around 40% within 5 years. With the advent of microRNA (miRNA), which seems to regulate many genes critical for tumorigenesis, there is a growing interest in the characterization of miRNAome in NSCLC specimens and to correlate them with prognosis. Next generation sequencing is a useful tool to study the miRNA content of solid tumors. Here, we applied high-throughput SOLiD transcriptome sequencing to study miRNAs expression in a cohort of early-stage NSCLC patients (tumor vs normal lung). Methods: RNA was isolated from frozen lung specimens (tumor and normal lung) from resectable NSCLC patients (n=35). Samples with a RIN ≥ 7 were analyzed and enriched in the miRNA fraction. miRNAs were sequencing using a bar-code multiplex SOLiD protocol. Data normalization was carried out by rescaling all data according to their counts. Readings were mapped against mature and no-mature miRNAs using miRBase. Statistical analysis was performed with CLCbio software and considered significant when p-adj<0.005. Results: Using the SOLiD high throughput sequencing, we performed a systemic miRNA expression profiling analysis of paired samples (tumor vs normal lung). A total of 1268 miRNAs (mature and no-mature) have been detected in at least one sample. The differential expression between normal and tumor samples shown that 6 miRNAs (miR-193b, miR-182, miR-96, miR-148a, miR-299, miR-590) were upregulated and 7 (miR-145, miR-133a, miR-218, miR-125a, miR-30a, miR-126 and miR-139) were down-regulated significantly in tumor samples compared with normal lung tissues. We are performing studies using qRT-PCR in an independent cohort to further validate these findings. Conclusions: The deep sequencing technology used for differential miRNA expression is useful and novel. The use of barcoding allows multiplexing and lowers cost per sample. Several miRNAs were differentially expressed between tumor and normal tissue, but this point needs to be further validated in an independent cohort. Supported by grants TRA09-0132 (MICINN) and RD06/0020/1024 (ISCIII).


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