Molecular epidemiology of RAS/RAF-mutant colorectal cancer metastases.

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 470-470
Author(s):  
Chloe Evelyn Atreya ◽  
James Watters ◽  
Steve Rowley ◽  
Joon Sang Lee ◽  
Oleg Iartchouk ◽  
...  

470 Background: A comprehensive molecular characterization of primary colorectal cancers (CRC) was recently reported. Less is known about mutation patterns in CRC metastases and association with survival. Our sequencing analysis focused on CRC liver metastases with RAS/RAF mutations, representing a patient population with limited therapeutic options. Methods: DNA was extracted from formalin-fixed paraffin-embedded CRC liver metastases. Fifty tumors found by Sequenom MassARRAY to harbor KRAS, NRAS or BRAF mutations underwent next generation sequencing on the Ion AmpliSeq Comprehensive Cancer Panel of 409 genes. Co-investigators were blinded to Sequenom mutations identified at UCSF. Variants called by Strelka and VarScan were extensively filtered to control the False Positive Rate and find mutations occurring with > 5-10% variant allele frequency compared to normals. The dataset was evaluated for significant co-mutations, biclustering, and population probabilities of mutations. Results: Following sequencing, 37,744 variants were called in 409 genes with a median coverage depth of 1053x. After filtering to minimize false positives, 2335 variants in 315 genes remained. ARID1A and PIK3R1 were the most significantly associated co-mutation pair, P < 3.5e-5. Biclustering showed no stratification of patients; genes stratified only by mutation frequency. Further filtering yielded 1,186 variants present at < 1% allele frequency within 1,000 Genomes, of which 131 variants in 24 genes are referenced in the Catalog of Somatic Mutations in Cancer. In addition to anticipated mutations in mismatch repair genes and the RTK/RAS/PI3K, Wnt, TP53, and TGF beta pathways, infrequent mutations were found in Akt1, mTOR, MET and PPP2R1a. After APC, TP53 was the most commonly mutated gene, in 44% of the tumors (95% cl: 31.1% - 57.8%). Survival was similar with mutation of RAS/RAF plus either TP53 or PIK3CA. Conclusions: Next generation sequencing was used to characterize co-variants in RAS/RAF mutated CRC liver metastases. The complexity of our results is consistent with the clinical observation that targeting RAS/RAF mutated metastatic CRC is a formidable challenge. These analyses may nonetheless inform the design of future clinical trials.

2021 ◽  
Author(s):  
Michael Schneider ◽  
Asis Shrestha ◽  
Agim Ballvora ◽  
Jens Leon

Abstract BackgroundThe identification of environmentally specific alleles and the observation of evolutional processes is a goal of conservation genomics. By generational changes of allele frequencies in populations, questions regarding effective population size, gene flow, drift, and selection can be addressed. The observation of such effects often is a trade-off of costs and resolution, when a decent sample of genotypes should be genotyped for many loci. Pool genotyping approaches can derive a high resolution and precision in allele frequency estimation, when high coverage sequencing is utilized. Still, pool high coverage pool sequencing of big genomes comes along with high costs.ResultsHere we present a reliable method to estimate a barley population’s allele frequency at low coverage sequencing. Three hundred genotypes were sampled from a barley backcross population to estimate the entire population’s allele frequency. The allele frequency estimation accuracy and yield were compared for three next generation sequencing methods. To reveal accurate allele frequency estimates on a low coverage sequencing level, a haplotyping approach was performed. Low coverage allele frequency of positional connected single polymorphisms were aggregated to a single haplotype allele frequency, resulting in two to 271 times higher depth and increased precision. We compared different haplotyping tactics, showing that gene and chip marker-based haplotypes perform on par or better than simple contig haplotype windows. The comparison of multiple pool samples and the referencing against an individual sequencing approach revealed whole genome pool resequencing having the highest correlation to individual genotyping (up to 0.97), while transcriptomics and genotyping by sequencing indicated higher error rates and lower correlations.ConclusionUsing the proposed method allows to identify the allele frequency of populations with high accuracy at low cost. This is particularly interesting for conservation genomics in species with big genomes, like barley or wheat. Whole genome low coverage resequencing at 10x coverage can deliver a highly accurate estimation of the allele frequency, when a loci-based haplotyping approach is applied. Using annotated haplotypes allows to capitalize from biological background and statistical robustness.


2020 ◽  
Author(s):  
Yuling An ◽  
Mingming Fan ◽  
Ziyu Li ◽  
You Peng ◽  
Xiaomeng Yi ◽  
...  

Abstract We shared our successful treatment experience of a severe tetanus patient in China. A 50 year old male patient was admitted to our hospital 10 days after the right arm injury due to pain and masticatory weakness. The pathogen of wound secretion was confirmed to be clostridium tetanus by next-generation sequencing (NGS).The patient's condition rapidly progressed to a severe state with autonomic instability. After debridement and comprehensive treatment in ICU, including deep analgesia and sedation with dexmedetomidine, ventilator support and anti-infection treatment, the patient finally recovered and discharged. This case suggested that early diagnosis and reasonable intervention of severe tetanus could reduce mortality.


F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 50 ◽  
Author(s):  
Michael T. Wolfinger ◽  
Jörg Fallmann ◽  
Florian Eggenhofer ◽  
Fabian Amman

Recent achievements in next-generation sequencing (NGS) technologies lead to a high demand for reuseable software components to easily compile customized analysis workflows for big genomics data. We present ViennaNGS, an integrated collection of Perl modules focused on building efficient pipelines for NGS data processing. It comes with functionality for extracting and converting features from common NGS file formats, computation and evaluation of read mapping statistics, as well as normalization of RNA abundance. Moreover, ViennaNGS provides software components for identification and characterization of splice junctions from RNA-seq data, parsing and condensing sequence motif data, automated construction of Assembly and Track Hubs for the UCSC genome browser, as well as wrapper routines for a set of commonly used NGS command line tools.


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