Abstract 5355: PANCeq - Development and validation of a targeted sequencing assay for detection of mutations and copy number changes in most recurrently mutated driver genes

Author(s):  
Tobias Meissner ◽  
Anu Amallraja ◽  
Brandon Michael Young ◽  
Adam Mark ◽  
Cayce Conolly ◽  
...  
2021 ◽  
Author(s):  
Klaske Marijke Schukken ◽  
Jason Meyer Sheltzer

Aneuploidy is a hallmark of human cancers, but the effects of aneuploidy on protein expression remain poorly understood. To uncover how chromosome copy number changes influence the cancer proteome, we have conducted an analysis of hundreds of human cancer cell lines with matched copy number, RNA expression, and protein expression data. We found that a majority of proteins exhibit dosage compensation and fail to change by the degree expected based on chromosome copy number alone. We uncovered a variety of gene groups that were recurrently buffered upon both chromosome gain and loss, including protein complex subunits and cell cycle genes. Several genetic and biophysical factors were predictive of protein buffering, highlighting complex post-translational regulatory mechanisms that maintain appropriate gene product dosage. Finally, we established that chromosomal aneuploidy has an unexpectedly moderate effect on the expression of oncogenes and tumor suppressors, demonstrating that these key cancer drivers can be subject to dosage compensation as well. In total, our comprehensive analysis of aneuploidy and dosage compensation across cancers will help identify the key driver genes encoded on altered chromosomes and will shed light on the overall consequences of aneuploidy during tumor development.


Author(s):  
Liam F Spurr ◽  
Mehdi Touat ◽  
Alison M Taylor ◽  
Adrian M Dubuc ◽  
Juliann Shih ◽  
...  

Abstract Summary The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data. Availability and implementation ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation. Supplementary information Supplementary data are available at Bioinformatics online.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258188
Author(s):  
John Bartlett ◽  
Yutaka Amemiya ◽  
Heleen Arts ◽  
Jane Bayani ◽  
Barry Eng ◽  
...  

Molecular variants including single nucleotide variants (SNVs), copy number variants (CNVs) and fusions can be detected in the clinical setting using deep targeted sequencing. These assays support low limits of detection using little genomic input material. They are gaining in popularity in clinical laboratories, where sample volumes are limited, and low variant allele fractions may be present. However, data on reproducibility between laboratories is limited. Using a ring study, we evaluated the performance of 7 Ontario laboratories using targeted sequencing panels. All laboratories analysed a series of control and clinical samples for SNVs/CNVs and gene fusions. High concordance was observed across laboratories for measured CNVs and SNVs. Over 97% of SNV calls in clinical samples were detected by all laboratories. Whilst only a single CNV was detected in the clinical samples tested, all laboratories were able to reproducibly report both the variant and copy number. Concordance for information derived from RNA was lower than observed for DNA, due largely to decreased quality metrics associated with the RNA components of the assay, suggesting that the RNA portions of comprehensive NGS assays may be more vulnerable to variations in approach and workflow. Overall the results of this study support the use of the OFA for targeted sequencing for testing of clinical samples and suggest specific internal quality metrics that can be reliable indicators of assay failure. While we believe this evidence can be interpreted to support deep targeted sequencing in general, additional studies should be performed to confirm this.


PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e55489 ◽  
Author(s):  
David Tamborero ◽  
Nuria Lopez-Bigas ◽  
Abel Gonzalez-Perez

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4456-4456
Author(s):  
Eileen M Boyle ◽  
Cody Ashby ◽  
Ruslana G. Tytarenko ◽  
Yan Wang ◽  
Michael A Bauer ◽  
...  

Abstract Introduction: Despite novel International Myeloma Working Group (IMWG) criteria, Smoldering Myeloma (SMM) remains a heterogeneous disease for which correctly identifying patients that will eventually progress to myeloma (MM) is essential. The genetic and molecular factors that underlie disease progression are not well elucidated, therefore, we examined samples from SMM patients in order to identify molecular determinants of progression. Methods: CD138-sorted and control samples from 77 non-treated SMM patients according to IMWG 2014 underwent targeted sequencing and gene expression profiling (GEP). The median follow-up was 4.81 years (95% CI: 4.19-6.16). Targeted sequencing consisted of 140 genes and additional regions of interest for copy number, as well as tiling of the immunoglobulin and MYC loci for detection of translocations and was performed on a NextSeq500 using 75 bp paired end sequencing. Results were aligned to the hg19 genome and mutations, translocations and copy number were determined. Nonnegative matrix factorization (NMF) (NMF package in R) was used to identify mutation signatures. The median mean coverage was 365 (88-696) and 783 (161-1559) for translocations (Tx) and mutations respectively. We compared these samples to 199 newly diagnosed MM samples. Results: Significant differences in the frequencies of mutated genes were seen, including fewer NRAS, KRAS, FAM46C, LRRK2 and TP53 mutations and more PCLO and MAFB mutations than expected in comparison to MM (p<0.05). Regarding structural changes, there was no difference in the incidence of Tx (including those involving MAF and MAFB) but significantly fewer del(1p), del(12p) and del(14q) cases in SMM (p<0.05). There was no difference in the incidence of MYC translocations (19% of cases) and MYC rearrangements (23%). The 4-year progression rate was 25 percent. The presence of KRAS mutations (n=9) and del(6q) (n=11) were statistically associated with shorter progression free survival (PFS) [median 49m (26-∞) vs 147m (67.6-∞) and 26m (9.6-∞) vs 147m (80-∞) for KRAS and del(6q) respectively] and treatment free survival (TFS) [median 6m (9.6-∞) vs 19m (9.6-∞) and 9 m (13.4-∞) vs 16m (13.4-∞) for KRAS and del(6q) respectively]. MYC alterations and NF-κB alterations (BIRC2 and BIRC3 loss, TRAF2 and TRAF3 mutation or gain, CYLD loss, MAP3K14 mutations) did not influence progression. There were no double-hit patients in this cohort defined by bi-allelic-TP53 or ISS III with amp(1q). Ten percent of patients were identified as high-risk according to GEP4 risk-score. Pearson correlation was performed between patients that progressed (n=24) against those who did not (n=53) for genetic events with n≥6. Del(6q) [χ2=0.32, p=0.004], LRP1B [χ2=0.27, p=0.015] and KRAS mutations [χ2=0.28, p=0.01] were positively correlated to progression, but only del(6q) remained significant after Bonferroni adjustment. Of particular interest, we did not identify the APOBEC mutational signature in the t(14;16) SMM samples, which is heavily associated with a poor prognosis in t(14;16) MM (4/11 in MM and 0/5 in SMM). Discussion: As previously reported, copy number changes, Tx and mutations predate MM. The lower frequencies of copy number changes and mutations suggest an ongoing process whereby cells acquire successive events eventually leading to MM. KRAS and del(6q) were significant predictors of both PFS and TFS with hazard ratios of 2.8 and 3.71, respectively. We comprehensively analyzed both the NF-κB pathway mutations and copy number changes, that did not bear, unlike previous reports, any clear relationship to PFS. Although we are limited by the power of this analysis, this supports the idea that the NF-κB dependency preexists symptomatic myeloma and is present throughout disease stages. Further analysis of the NF-κB 11-gene signature expression are ongoing. This is the first broad analysis of both MYC rearrangements and Tx in SMM. Previous studies have focused on FISH analysis of IGH-MYC Tx that underestimate the extent of MYC rearrangements present. Finally, our data also shows that absence of an APOBEC signature in SMM may account for the rather indolent phenotype of MAF and MAFB Tx in comparison to MM. Conclusion: KRAS mutations as well as del(6q) were associated with shorter PFS and TFS in this dataset. The absence of APOBEC signature may explain part of the indolent phenotype of the MAF and MAFB translocation SMM patients. Disclosures Boyle: Gilead: Honoraria, Other: travel grants; Amgen: Honoraria, Other: travel grants; Celgene: Honoraria, Other: travel grants; Abbvie: Honoraria; Takeda: Consultancy, Honoraria; La Fondation de Frace: Research Funding; Janssen: Honoraria, Other: travel grants. Facon:Karyopharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Dumontet:Janssen: Honoraria; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Research Funding; Sanofi: Honoraria. Morgan:Bristol-Myers Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Research Funding. Davies:Abbvie: Consultancy; MMRF: Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; TRM Oncology: Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; ASH: Honoraria; Janssen: Consultancy, Honoraria.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 115-115 ◽  
Author(s):  
Erming Tian ◽  
Jeffery Sawyer ◽  
Owen W Stephens ◽  
Ruslana Tytarenko ◽  
Sharmilan Thanendrarajan ◽  
...  

Abstract Introduction Rearrangements at 8q24 are seen in up to 47% of multiple myeloma (MM) patients by a combination of fluorescence in situ hybridization (FISH), spectral karyotyping and classical cytogenetics. The gene of interest in this region is MYC, a known oncogene which acts a transcription factor and is involved in various pathways including cell cycle progression, apoptosis and cellular transformation. In myeloma, activation of MYC may be mediated through copy number changes or translocations where B-cell super-enhancers are juxtaposed to MYC resulting in its over-expression. In 30% of samples the partner super-enhancer comes from an Ig loci, and in the remainder the super-enhancer comes from genes commonly associated with myeloma such as FAM46C, FOXO3, and XBP1. The nature and extent of MYC abnormalities in MM still remains debatable, with a range of abnormalities including deletions, trisomies, jumping MYC rearrangements and translocations. Here we identify the range of abnormalities, the clonality and partner chromosomes involved. Methods We conducted a systematic investigation using interphase FISH (iFISH), gene expression profiling (GEP), karyotyping, and targeted sequencing to determine the prevalence and genetic basis for MYC aberrations in groups of plasma cell disorders incorportating monoclonal gammopathy of undetermined significance (MGUS, n=97), smoldering MM (SMM, n=64), and newly diagnosed symptomatic MM (NDMM, n=307). Two FISH probes were used that are 1 Mb telomeric and centromeric of MYC, as well as a third probe targeting MYC itself. These were co-hybridized to cells from bone marrow aspirates. Translocations were defined where the MYC probe and an adjacent probe hybridized to another chromosome, whereas jumping translocations were defined where only the MYC probe hybridized to another chromosome. Cells were also analyzed for common IGH translocations, gain of 1q and del(17p) by FISH as well as common myeloma mutations and copy number abnormalities using a targeted sequencing panel. Results By iFISH, copy number variations of either loss or gain of the 8q24 region were present in 18.2% of NDMM; and structural aberrations including translocations and jumping MYC rearrangements were present in 28.5%. By karyotyping, the partner chromosomes of the MYC translocations included 1p, 1q, 2p, 4q, 5q, 6q, 14q, or 22q. The most frequent genomic rearrangement was translocations of MYC to chromosome 1 [t(1;8)]. Altogether, MYC alterations were detected in 54.8% of NDMM patients. As the disease stage progressed more MYC abnormalities were detected from MGUS to SMM to NDMM, especially translocations (0%, 0%, 13.4%) and jumping rearrangements (4.1%, 4.7%, 15.1%). Some MYC abnormalities were detected in MGUS and SMM samples, but they consisted of many different FISH signal patterns which were present in fewer than 20% of cells, indicating a heterogeneous population of subclonal cells at the early stages of myeloma development. These subclonal populations were present in 17% of MGUS samples and 23% of SMM samples. Using gene expression arrays, samples with translocations and jumping rearrangements had higher levels of MYC expression compared to samples without these variants. Those with monosomy of MYC had lower expression of MYC and those with a heterogeneous population of abnormal MYC signals showed no difference in expression compared to samples with no abnormal signal. These data indicate that jumping MYC rearrangements result in over-expression of MYC in the same way as translocations of 8q24. However, current commercial probe designs do not incorporate the MYC locus and instead label the surrounding region. These assays do not identify jumping MYC rearrangements and as a result under-estimate the frequency of MYC abnormalities in myeloma. Conclusion MYC abnormalities are present in 54.8% of NDMM samples and occur by a variety of mechanisms from copy number changes to translocations. MYC translocations and jumping rearrangements are associated with over-expression of MYC, driving pathogenesis of the disease. MYC translocations are not present in MGUS or SMM samples, indicating this is a key lesion mediating the progression of disease to a symptomatic state. Disclosures Davies: Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Morgan:Bristol Meyers: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Univ of AR for Medical Sciences: Employment.


Author(s):  
М.Е. Лопаткина ◽  
В.С. Фишман ◽  
М.М. Гридина ◽  
Н.А. Скрябин ◽  
Т.В. Никитина ◽  
...  

Проведен анализ генной экспрессии в нейронах, дифференцированных из индуцированных плюрипотентных стволовых клеток пациентов с идиопатическими интеллектуальными нарушениями и реципрокными хромосомными мутациями в регионе 3p26.3, затрагивающими единственный ген CNTN6. Для нейронов с различным типом хромосомных аберраций была показана глобальная дисрегуляция генной экспрессии. В нейронах с вариациями числа копий гена CNTN6 была снижена экспрессия генов, продукты которых вовлечены в процессы развития центральной нервной системы. The gene expression analysis of iPSC-derived neurons, obtained from patients with idiopathic intellectual disability and reciprocal microdeletion and microduplication in 3p26.3 region affecting the single CNTN6 gene was performed. The global gene expression dysregulation was demonstrated for cells with CNTN6 copy number variation. Gene expression in neurons with CNTN6 copy number changes was downregulated for genes, whose products are involved in the central nervous system development.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter Higgins ◽  
Cooper A Grace ◽  
Soon A Lee ◽  
Matthew R Goddard

Abstract Saccharomyces cerevisiae is extensively utilized for commercial fermentation, and is also an important biological model; however, its ecology has only recently begun to be understood. Through the use of whole-genome sequencing, the species has been characterized into a number of distinct subpopulations, defined by geographical ranges and industrial uses. Here, the whole-genome sequences of 104 New Zealand (NZ) S. cerevisiae strains, including 52 novel genomes, are analyzed alongside 450 published sequences derived from various global locations. The impact of S. cerevisiae novel range expansion into NZ was investigated and these analyses reveal the positioning of NZ strains as a subgroup to the predominantly European/wine clade. A number of genomic differences with the European group correlate with range expansion into NZ, including 18 highly enriched single-nucleotide polymorphism (SNPs) and novel Ty1/2 insertions. While it is not possible to categorically determine if any genetic differences are due to stochastic process or the operations of natural selection, we suggest that the observation of NZ-specific copy number increases of four sugar transporter genes in the HXT family may reasonably represent an adaptation in the NZ S. cerevisiae subpopulation, and this correlates with the observations of copy number changes during adaptation in small-scale experimental evolution studies.


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