scholarly journals Detection of EGFR Mutation Distribution and Transcriptional Variants in IDH-Wildtype High-Grade Gliomas Using a Next-Generation Sequencing Oncopanel

Author(s):  
Nayuta Higa ◽  
Toshiaki Akahane ◽  
Taiji Hamada ◽  
Hajime Yonezawa ◽  
Hiroyuki Uchida ◽  
...  

Abstract \Purpose: To detect the epidermal growth factor receptor gene (EGFR) mutation profile and transcriptional variants in high-grade gliomas (HGGs), we sequenced EGFR and evaluated the EGFR splicing profile using a next-generation sequencing (NGS) oncopanel. Methods: We analyzed 124 HGGs—10 grade Ⅲ IDH-wildtype anaplastic astrocytomas (AAs) and 114 grade Ⅳ IDH-wildtype glioblastomas (GBMs). Results: The EGFR mutations were observed in 6.0% of grade Ⅳ GBMs and in 33% of grade Ⅲ AAs. Four cases harbored missense mutations in the EGFR kinase domain (L747A, S768I, V774M, and T790M). A total of 25% of the GBMs showed EGFR amplification. Moreover, 27% of the EGFR mutations occurred in the kinase domain. EGFRvⅢ positivity was detected in 8.0% of EGFR-amplified GBMs. We identified two other EGFR variants in GBM cases with deletions of exons 6–7 (Δe 6-7) (one case) and exons 2–14 (Δe 2-14) (two cases). Interestingly, in one case, the initial EGFRvIII mutation transformed into an EGFR Δe 2-14 mutation during recurrence. The frequency of EGFR alterations in our cohort was lower but the frequency of EGFR mutations in the kinase domain in our cohort was higher than that in The Cancer Genome Atlas and Memorial Sloan Kettering Cancer Center cohorts. Conclusions: We suggested that the EGFR gene profiles of GBM differ among cohorts and identified rare EGFR variants with longitudinal and temporal transformations of EGFRvⅢ.

2021 ◽  
Author(s):  
Nayuta Higa ◽  
Toshiaki Akahane ◽  
Taiji Hamada ◽  
Hajime Yonezawa ◽  
Hiroyuki Uchida ◽  
...  

Abstract Purpose: To detect the epidermal growth factor receptor gene (EGFR) mutation profile and transcriptional variants in high-grade gliomas (HGGs), we sequenced EGFR and evaluated the EGFR splicing profile using a next-generation sequencing (NGS) oncopanel. Methods: We analyzed 124 HGGs—10 grade Ⅲ IDH-wildtype anaplastic astrocytomas (AAs) and 114 grade Ⅳ IDH-wildtype glioblastomas (GBMs). Results: The EGFR mutations were observed in 6.0% of grade Ⅳ GBMs and in 33% of grade Ⅲ AAs. Four cases harbored missense mutations in the EGFR kinase domain (L747A, S768I, V774M, and T790M). A total of 25% of the GBMs showed EGFR amplification. Moreover, 27% of the EGFR mutations occurred in the kinase domain. EGFRvⅢ positivity was detected in 8.0% of EGFR-amplified GBMs. We identified two other EGFR variants in GBM cases with deletions of exons 6–7 (Δe 6-7) (one case) and exons 2–14 (Δe 2-14) (two cases). Interestingly, in one case, the initial EGFRvIII mutation transformed into an EGFR Δe 2-14 mutation during recurrence. The frequency of EGFR alterations in our cohort was lower but the frequency of EGFR mutations in the kinase domain in our cohort was higher than that in The Cancer Genome Atlas and Memorial Sloan Kettering Cancer Center cohorts. Conclusions: We suggested that the EGFR gene profiles of GBM differ among cohorts and identified rare EGFR variants with longitudinal and temporal transformations of EGFRvⅢ.


2014 ◽  
Vol 96 (3) ◽  
pp. 310-315 ◽  
Author(s):  
Patrick J. Cimino ◽  
Guoyan Zhao ◽  
David Wang ◽  
Jennifer K. Sehn ◽  
James S. Lewis ◽  
...  

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi138-vi138
Author(s):  
David McCall ◽  
Agda Eterovic ◽  
Tyler Moss ◽  
Muhammed Baig ◽  
Greg Fuller ◽  
...  

Abstract INTRODUCTION The new understanding of molecular pathways in cancer is paving the way towards personalized cancer medicine, especially in refractory disease. High-grade gliomas (HGG) are common pediatric brain tumors that tend to recur, with no available standard therapy upon recurrence. HGG are challenging tumors with illusive biology and poor outcome. We report here the molecular testing of 27 pediatric HGG patients. MATERIALS AND METHODS An analysis of pediatric patients with HGG treated at UT MD Anderson Cancer Center (MDACC) who underwent molecular genetic profiling using next generation sequencing with different genomic panels (AmpliSeq™Cancer Hotspot and Oncomine Panels – by Thermo Fisher Scientific). RESULTS 27 patients with HGG (median age 14 years, range 3–18 years old) underwent genomic profiling. Primary diagnoses were glioblastoma multiforme (n=22), anaplastic astrocytoma (n = 2), gliosarcoma (n= 1), anaplastic pleomorphic xanthoastrocytoma (n= 1) and anaplastic oligoastrocytoma (n= 1). There are 46 genes common to the panels used. The most common mutation was in TP53 (73%). Other mutations included PIK3CA (19%), IDH1 (11.5%), 7.7% for ATM, EGFR and PTEN, and 3.8% for BRAF, FGFR1 and FGFR2. 24 out of 27 patients were tested at initial diagnosis and 3 upon relapse/progression. Patients at initial diagnosis received standard of care therapy of radiation and temozolomide. Only 5 patients received targeted therapy upon progression/recurrence. Some challenges of genomically-matched therapy included lack of clinical trials accepting pediatric patients, unavailability of a liquid form of a drug, and insurance disapproval for off-label use. CONCLUSION The next generation of therapy for childhood cancers will be based upon in-depth molecular phenotyping that may facilitate the development of rational risk-adapted and target-based therapies. This cohort, though limited by sample size, highlights the opportunity to perform molecular testing and identification of alterations in actionable genes.


2017 ◽  
Vol 34 (7) ◽  
Author(s):  
Matthew K. Stein ◽  
Lindsay Morris ◽  
Jennifer L. Sullivan ◽  
Moon Fenton ◽  
Ari VanderWalde ◽  
...  

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.


2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 209-209
Author(s):  
Rachna T. Shroff ◽  
Chaitanya Churi ◽  
Asif Rashid ◽  
Lopa Mishra ◽  
Mingxin Zuo ◽  
...  

209 Background: The incidence of CCA is rising and the clinical efficacy of systemic therapy is suboptimal. Next generation sequencing (NGS) technology offers potential for targeted therapeutics against genetically heterogenous solid tumors including cholangiocarcinoma (CCA). Methods: DNA was extracted from biopsy specimens of 61 patients (pts) with CCA seen at MD Anderson Cancer Center Houston, TX. DNA sequencing was performed for 3,769 exons of 236 cancer-related genes plus 47 introns from 19 genes to an average depth of 1000X using the Illumina HiSeq 2000 platform (performed by Foundation Medicine, Cambridge, MA). Results: 174genomic alterations (GA) were identified from 61 pt samples with an average of 2.85 GAs/pt (range 0-10). GAs identified were mutations (75%), amplifications (16%), loss/deletions (7%) and others (2%). 6 (10%) tumors showed no GAs. Most frequent GAs were TP53 (34%), KRAS (30%), ARID1A (15%), PBRM1 (11%), BAP1 (8%), ERBB2 (8%), FBXW7 (8%), SMAD4 (8%) and IDH1 (8%). ERBB2 GAs included 4 mutations and 1 amplification. KRAS mutation was associated with a statistically significant reduction in overall survival (OS). Mean OS in pts with KRAS mutation was 32 weeks vs. 63 weeks in KRAS wt (t = -2.126, p = 0.039). Ingenuity Pathway Analysis indicated disruption in cell cycle, proliferation, development, death and DNA repair pathways. Targetable signaling pathways from this study are described in the Table. Targetable GAs were noted in 62% of pts. These are potentially targetable by inhibitors to ERBB2, FGF, mTOR, MEK, BRAF and PARP-1. Conclusions: These data are the single largest compilation of NGS analysis on CCA pts and demonstrate the range of GAs that are eligible for investigational targeted therapies. These results can be used as a basis to develop personalized treatments for CCA pts based on individual genetic profiles. [Table: see text]


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