scholarly journals A Next-Generation Sequencing Strategy for Evaluating the Most Common Genetic Abnormalities in Multiple Myeloma

2017 ◽  
Vol 19 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Cristina Jiménez ◽  
María Jara-Acevedo ◽  
Luis A. Corchete ◽  
David Castillo ◽  
Gonzalo R. Ordóñez ◽  
...  
Author(s):  
Alejandro Medina ◽  
Cristina Jiménez ◽  
Noemí Puig ◽  
María Eugenia Sarasquete ◽  
Juan Flores-Montero ◽  
...  

Context.— Minimal residual disease (MRD) is a major prognostic factor in multiple myeloma, although validated technologies are limited. Objective.— To standardize the performance of the LymphoTrack next-generation sequencing (NGS) assays (Invivoscribe), targeting clonal immunoglobulin rearrangements, in order to reproduce the detection of tumor clonotypes and MRD quantitation in myeloma. Design.— The quantification ability of the assay was evaluated through serial dilution experiments. Paired samples from 101 patients were tested by LymphoTrack, using Sanger sequencing and EuroFlow's next-generation flow (NGF) assay as validated references for diagnostic and follow-up evaluation, respectively. MRD studies using LymphoTrack were performed in parallel at 2 laboratories to evaluate reproducibility. Results.— Sensitivity was set as 1.3 tumor cells per total number of input cells. Clonality was confirmed in 99% and 100% of cases with Sanger and NGS, respectively, showing great concordance (97.9%), although several samples had minor discordances in the nucleotide sequence of rearrangements. Parallel NGS was performed in 82 follow-up cases, achieving a median sensitivity of 0.001%, while for NGF, median sensitivity was 0.0002%. Reproducibility of LymphoTrack-based MRD studies (85.4%) and correlation with NGF (R2 > 0.800) were high. Bland-Altman tests showed highly significant levels of agreement between flow and sequencing. Conclusions.— Taken together, we have shown that LymphoTrack is a suitable strategy for clonality detection and MRD evaluation, with results comparable to gold standard procedures.


2019 ◽  
Vol 144 (1) ◽  
pp. 90-98 ◽  
Author(s):  
Robyn T. Sussman ◽  
Amanda R. Oran ◽  
Carmela Paolillo ◽  
David Lieberman ◽  
Jennifer J. D. Morrissette ◽  
...  

Context.— Next-generation sequencing is a high-throughput method for detecting genetic abnormalities and providing prognostic and therapeutic information for patients with cancer. Oncogenic fusion transcripts are among the various classifications of genetic abnormalities present in tumors and are typically detected clinically with fluorescence in situ hybridization (FISH). However, FISH probes only exist for a limited number of targets, do not provide any information about fusion partners, cannot be multiplex, and have been shown to be limited in specificity for common targets such as ALK. Objective.— To validate an anchored multiplex polymerase chain reaction–based panel for the detection of fusion transcripts in a university hospital–based clinical molecular diagnostics laboratory. Design.— We used 109 unique clinical specimens to validate a custom panel targeting 104 exon boundaries from 17 genes involved in fusions in solid tumors. The panel can accept as little as 100 ng of total nucleic acid from PreservCyt-fixed tissue, and formalin-fixed, paraffin-embedded specimens with as little as 10% tumor nuclei. Results.— Using FISH as the gold standard, this assay has a sensitivity of 88.46% and a specificity of 95.83% for the detection of fusion transcripts involving ALK, RET, and ROS1 in lung adenocarcinomas. Using a validated next-generation sequencing assay as the orthogonal gold standard for the detection of EGFR variant III (EGFRvIII) in glioblastomas, the assay is 92.31% sensitive and 100% specific. Conclusions.— This multiplexed assay is tumor and fusion partner agnostic and will provide clinical utility in therapy selection for patients with solid tumors.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14547-e14547
Author(s):  
Debora Cabral de Carvalho Corrêa ◽  
Indhira Dias-Oliveira ◽  
Maria Teresa de Seixas Alves ◽  
Nasjla Saba-Silva ◽  
Andrea Maria Capellano ◽  
...  

e14547 Background: Glioblastoma (GBM) is the most aggressive brain malignancy with a heterogeneity molecular profile and accounts for no more than 3-5% of Central Nervous System tumors in children. Despite its rarity, pediatric GBM pertain different molecular genetics, outcome and effectiveness to therapies and remains an equally lethal tumor in children. Identification of genetic alterations in GBM of childhood and adolescence is important to refine molecular classification, define prognosis and therapeutic strategies. We aimed to detect and investigate molecular changes with potential prognostic marker and therapeutic target in GBM, using next generation sequencing (NGS) strategy. Methods: We selected 41 GBM samples from patients treated at Pediatric Oncology Institute/GRAACC. NGS was performed to identified genetic alterations in tumor samples using Oncomine Childhood Cancer Research Assay (OCCRA) panel, specific genetic panel for childhood and adolescence neoplasms. Results: We selected 41 GBM samples and identified 33 mutated genes. The most commonly detected genetic alterations were involving TP53, PDGFRA, PIK3CA, NF1, MYC, MET and genes with histone-related functions, including H3F3A and ATRX. Mutations in H3F3A K28M, ATRX and TP53 were most recurrent. ATRX alterations, either nonsense substitution or frameshift deletion, were exclusively found in patients with H3F3A K28M mutations. TP53 loss-of-function was exclusive in 9 of 41 (22%) tumors. In 7 of 9 cases (78%) harboring both H3F3A and TP53 mutations, patients died due to disease progression . In these patients, H3F3A-TP53 mutation is suggested to be unfavorable prognostic factor. Copy number alterations were found in 30% of GBM cases and PDGFRA-amplifications were the most frequent. PDGFRA-amplification was exclusively found in patients with H3F3A K28M mutations and 75% of these patients did not survived longer than two years. Conclusions: Molecular profiling based on NGS genetic panel, specific for pediatric tumors, can provide information about potential prognostic biomarkers for GBM of childhood and adolescence. Thus, wider understanding about GBM biologic heterogeneity may lead to personalized therapeutic strategies for pediatric patients.


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