Integrated comprehensive high-throughput kinomics profiling and whole exome sequencing of penile squamous cell cancer (PSCC).

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 383-383
Author(s):  
Amitkumar N. Mehta ◽  
Christopher Willey ◽  
Michael Crowley ◽  
Joshua Anderson ◽  
Dongquan Chen ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Squamous Cell ◽  
Normal Tissue ◽  
Squamous Cell Cancer ◽  
Cell Cancer ◽  
The Cancer Genome Atlas ◽  
Exome Capture ◽  
Matched Normal Tissue ◽  
Whole Exome

383 Background: Molecular drivers in penile squamous cell cancer (PSCC), an orphan malignancy, remain unclear. The Cancer Genome Atlas (TCGA) is not studying PSCC and the Catalogue of Somatic Mutations in Cancer (COSMIC) investigators have reported only targeted analyses of PSCC. We report the first integrated analyses of comprehensive kinomics and whole exome sequencing (seq) in tumors from patients (pts) with PSCC . Methods: We performed integrated functional kinomics profiling and comprehensive exome-seq of two frozen tissue samples from men with PSCC with a matched normal tissue procured from the Cooperative Human Tissue Network (CHTN). Kinomic profiling was performed using the PamStation 12 high-content phospho-peptide substrate microarray system (PamGene International). The protein tyrosine kinome and serine/threonine kinome PamChips were used to measure global kinase activity by detecting phosphorylation of various peptides through FITC-labeled antibodies. Upstream kinase prediction was performed using a scoring algorithm that incorporates the phosphonet database (www.phosphonet.ca). Exome capture was performed with the Agilent SureSelect v5 kit and whole exome-seq was done on the Illumina HiSeq2000 with paired end 100bp chemistry. Results: In the single patient, paired kinomics analysis comparing the tumor sample to adjacent normal tissue, the HER family (EGFR, ERBB2, 3 and 4), AXL, TYRO3 and SYK kinases were the most active. When combining the two tumors in an unpaired analysis against the normal sample, the HER (EGFR, ERBB2, 3 and 4), MER, FRK, and FAK, kinases showed increased activity. When comparing whole exome-seq of the two PSCC samples with normal, among the affected genes were CCDC181, ZNF717, MUC4, HGC6.3, NOTCH1, STK11, SIRPB1, SKA3, PDE6B, FAT1, CACNA2D1, USP17L11, MNT, and CEP89. We are evaluating 10 PSCC tumors and matched normal tissue by kinomics and whole exome-seq and will present these complete data and analysis at the conference. Conclusions: In our preliminary analysis of pts that underwent the first reported integrated kinomics and whole exome-seq performed in PSCC, we identified multiple potential therapeutic targets in tumors.

scholarly journals A domestic cat whole exome sequencing resource for trait discovery

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alana R. Rodney ◽  
Reuben M. Buckley ◽  
Robert S. Fulton ◽  
Catrina Fronick ◽  
Todd Richmond ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Genetic Diseases ◽  
Domestic Cat ◽  
Whole Genome Sequence ◽  
Exome Capture ◽  
Single Nucleotide Variants ◽  
Whole Exome ◽  
Olfactory Receptor Genes ◽  
Feline Model

AbstractOver 94 million domestic cats are susceptible to cancers and other common and rare diseases. Whole exome sequencing (WES) is a proven strategy to study these disease-causing variants. Presented is a 35.7 Mb exome capture design based on the annotated Felis_catus_9.0 genome assembly, covering 201,683 regions of the cat genome. Whole exome sequencing was conducted on 41 cats with known and unknown genetic diseases and traits, of which ten cats had matching whole genome sequence (WGS) data available, used to validate WES performance. At 80 × mean exome depth of coverage, 96.4% of on-target base coverage had a sequencing depth > 20-fold, while over 98% of single nucleotide variants (SNVs) identified by WGS were also identified by WES. Platform-specific SNVs were restricted to sex chromosomes and a small number of olfactory receptor genes. Within the 41 cats, we identified 31 previously known causal variants and discovered new gene candidate variants, including novel missense variance for polycystic kidney disease and atrichia in the Peterbald cat. These results show the utility of WES to identify novel gene candidate alleles for diseases and traits for the first time in a feline model.

scholarly journals Whole Exome Sequencing of Simultaneous Primary Multifocal Lung Cancer (SMPLC): Case Report and Bioinformatics Analysis

2020 ◽  
Author(s):  
Donglin Zhu ◽  
Minghong Shen ◽  
Jinghuan Lv
Keyword(s):  
Lung Cancer ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Bioinformatics Analysis ◽  
Clonal Evolution ◽  
Evolutionary Relationship ◽  
Primary Lung Cancer ◽  
The Cancer Genome Atlas ◽  
Control Group ◽  
Whole Exome

Abstract Background: To understand the molecular mechanism of synchronous multifocal lung cancer (SMLC) is of great significance for the differential diagnosis of intrapulmonary metastasis (IM) and synchronous multiple primary lung cancer (SMPLC). Recently, next-generation sequencing (NGS) has become a useful tool for understanding SMLC. Case presentation: In this study, two lesions of a 61-year-old man with lung cancer were detected by whole exome sequencing (WES) and the correlation between different lesions was analyzed at the molecular level. Lesion 1 was adenocarcinoma and lesion 2 was squamous cell carcinoma. Gene mutation and copy number variation (CNV) are different in the two lesions. The genome of lesion 2 is more unstable. The clonal evolution analysis showed that there was no obvious evolutionary relationship between the two lesions, and both lesions were independent double primary lesions. Bioinformatics analysis revealed that the alternate genes of the two lesions were inconsistent in function and pathway. PCA analysis was performed using the Cancer Genome Atlas (TCGA) database and the GTEx database, and it was found that the changed genes in these two lesions were significantly separated from the control group, and the changes of TP53 and EGFR genes in the TCGA database were further described. Conclusions: These results indicate that NGS may provide new ideas for SMLC classification.

Diagnostic Efficacy of Whole-Exome Sequencing in 250 Patients with Congenital Bone Marrow Failure

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4385-4385
Author(s):  
Hideki Muramatsu ◽  
Yusuke Okuno ◽  
Kenichi Yoshida ◽  
Sayoko Doisaki ◽  
Asahito Hama ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Clinical Practice ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Sanger Sequencing ◽  
Bone Marrow Failure ◽  
Exome Capture ◽  
Diagnostic Efficacy ◽  
Hematopoietic Stem ◽  
Whole Exome

Abstract Introduction: Congenital bone marrow failure syndromes (CBMFSs) are a heterogeneous class of diseases with overlapping phenotypes. Therefore, a precise and comprehensive genetic diagnostic system is strongly warranted to arrive at appropriate clinical decisions to avoid ineffective therapies and/or lethal complications of allogeneic hematopoietic stem cell transplantation. However, a large panel of newly identified causative genes of CBMFSs have been identified in recent years; therefore, it is virtually impossible to establish a routine genetic diagnostic test using conventional Sanger sequencing. Whole-exome sequencing (WES) is a promising solution for the diagnosis of inherited diseases because it tests virtually all genes simultaneously. For the introduction of WES into clinical practice, it is necessary to clarify whether this technique has superior diagnostic efficacy to conventional clinical genetic tests. Methods: We performed WES in 250 patients with CBMFSs lacking genetic diagnoses. Exome capture was performed using the SureSelect® Human All Exon V3–5 kit (Agilent Technologies, Santa Clara, CA, USA), which covers all known coding exons, followed by massively parallel sequencing using the HiSeq 2000 Sequencing System (Illumina, San Diego, CA, USA). Our established pipeline for WES (genomon: http://genomon.hgc.jp/exome/) detected >20,000 candidate variants per patient. Diagnoses were based on variants of 130 genes with pathogenicities confirmed by published studies. Results: Genetic diagnoses were possible in 68 patients (27%). The best efficacy was achieved in patients with Fanconi anemia [35/73, 48%; FANCG (n = 17), FANCA (n = 14), FANCB (n = 1), FANCF (n = 1), SLX4 (n = 1), and BRCA2 (n = 1)], although Sanger sequencing was not applied because of the large sizes of its causative genes. Encouraging results were obtained in patients with Diamond–Blackfan anemia [11/ 61, 18%; RPS26 (n = 3), RPS7 (n = 2), RPS19 (n = 2), RPL5 (n = 2), RPL35A (n = 1), and RPL11 (n = 1)] and dyskeratosis congenita [7/29, 24%; TERT (n = 3), TINF2 (n = 2), and DKC1 (n = 2)]. Five genetic diagnoses (7%) were inconsistent with clinical diagnoses, possibly because of overlapping disease phenotypes. Conclusion: Relative to conventional genetic testing, WES was found to be effective for the diagnoses of CBMFSs. Furthermore, the efficacy of WES will increase as our knowledge of gene mutations expands. In conclusion, the use of WES in clinical practice is warranted. Disclosures No relevant conflicts of interest to declare.

Whole-exome sequencing (WES) of penile squamous cell carcinoma (PSCC) to identify multiple recurrent mutations.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 484-484 ◽  
Author(s):  
Gurudatta Naik ◽  
Dongquan Chen ◽  
Michael Crowley ◽  
David Crossman ◽  
Katherine C. Sexton ◽  
...  
Keyword(s):  
Normal Tissue ◽  
Reference Genome ◽  
Sequence Data ◽  
The Cancer Genome Atlas ◽  
Exome Capture ◽  
Missense Mutations ◽  
Adjacent Normal Tissue ◽  
Human Reference Genome ◽  
Whole Exome ◽  
Recurrent Mutations

484 Background: Molecular alterations and drivers of PSCC, an orphan malignancy, remain unclear. The Cancer Genome Atlas is not studying PSCC and the Catalogue of Somatic Mutations in Cancer has performed targeted analyses only. We report WES of PSCC tumors from a group of patients (pts). Methods: Freshfrozen macrodissected PSCC tumor tissue and adjacent normal tissue samples were procured from the Cooperative Human Tissue Network. DNA was isolated from tissue sections by phenol chloroform extraction. Exome capture was performed with the Agilent SureSelect clinical research exome kit and whole exome-seq was done on the Illumina HiSeq2500 with paired end 100bp chemistry. Raw sequence data in Fastq format were aligned to human reference genome and quantified, and compared by using a local instance of Galaxy (galaxy.uabgrid.uab.edu). These data were analyzed for mutations (SNPs) analysis, by Partek Genomic Suite/Flow(PGS, Partek, St. Louis, MO) for variance calling against human reference genome (hg19) as referenced to dbSNP; and copy number variants (cnv) by FishingCNV tool together with picard tools/samtools/GATK). We focused on missense mutations and amplifications among ≥ 2 tumor samples but not in normal samples as they may cause upregulation of gene/protein function, which may be therapeutically actionable. Results: PSCC tumors were available from 11 patients and adjacent normal tissue from 3 patients. The 10 most common genes with > 4 missense mutations among ≥ 2 tumor samples overall were the following in decreasing order of frequency: MUC4, HLA-DPA1, MUC16, XIRP2, SSPO, TTN, FCGBP, PABPC3, ALPK2 and MKI67. The top upstream transcriptional regulators were PIH1D3, PRDM5, PTK2, Coup-Tf and NBEAL2. When examining candidate actionable genes, recurrent missense alterations were seen in PIK3C2A and PIK3C2G. Additional analysis will study alterations in functional domains and cnv. Conclusions: WES identified a relatively high mutation burden in PSCC withrecurrent missense mutations in multiple genes, notably including the PI3K gene among potentially actionable genes. Validation of these findings and further study of downstream effects is required.

scholarly journals Reliable analysis of clinical tumor-only whole exome sequencing data

2019 ◽  
Author(s):  
Sehyun Oh ◽  
Ludwig Geistlinger ◽  
Marcel Ramos ◽  
Martin Morgan ◽  
Levi Waldron ◽  
...  
Keyword(s):  
Open Source ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Copy Number ◽  
High Accuracy ◽  
The Cancer Genome Atlas ◽  
Cancer Type ◽  
Mutational Signatures ◽  
Whole Exome ◽  
Allele Specific

AbstractBackgroundAllele-specific copy number alteration (CNA) analysis is essential to study the functional impact of single nucleotide variants (SNV) and the process of tumorigenesis. Most commonly used tools in the field rely on high quality genome-wide data with matched normal profiles, limiting their applicability in clinical settings.MethodsWe propose a workflow, based on the open-source PureCN R/Bioconductor package in conjunction with widely used variant-calling and copy number segmentation algorithms, for allele-specific CNA analysis from whole exome sequencing (WES) without matched normals. We use The Cancer Genome Atlas (TCGA) ovarian carcinoma (OV) and lung adenocarcinoma (LUAD) datasets to benchmark its performance against gold standard SNP6 microarray and WES datasets with matched normal samples. Our workflow further classifies SNVs by somatic status and then uses this information to infer somatic mutational signatures and tumor mutational burden (TMB).ResultsApplication of our workflow to tumor-only WES data produces tumor purity and ploidy estimates that are highly concordant with estimates from SNP6 microarray data and matched-normal WES data. The presence of cancer type-specific somatic mutational signatures was inferred with high accuracy. We also demonstrate high concordance of TMB between our tumor-only workflow and matched normal pipelines.ConclusionThe proposed workflow provides, to our knowledge, the only open-source option for comprehensive allele-specific CNA analysis and SNV classification of tumor-only WES with demonstrated high accuracy.

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