Current Challenges and Implications of Proteogenomic Approaches in Prostate Cancer

2020 ◽  
Vol 20 (22) ◽  
pp. 1968-1980
Author(s):  
Nidhi Shukla ◽  
Narmadhaa Siva ◽  
Babita Malik ◽  
Prashanth Suravajhala

In the recent past, next-generation sequencing (NGS) approaches have heralded the omics era. With NGS data burgeoning, there arose a need to disseminate the omic data better. Proteogenomics has been vividly used for characterising the functions of candidate genes and is applied in ascertaining various diseased phenotypes, including cancers. However, not much is known about the role and application of proteogenomics, especially Prostate Cancer (PCa). In this review, we outline the need for proteogenomic approaches, their applications and their role in PCa.

Molecules ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 399 ◽  
Author(s):  
Sima Taheri ◽  
Thohirah Lee Abdullah ◽  
Mohd Yusop ◽  
Mohamed Hanafi ◽  
Mahbod Sahebi ◽  
...  

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.


2019 ◽  
Vol 24 (2) ◽  
Author(s):  
Anja Berger ◽  
Alexandra Dangel ◽  
Tilmann Schober ◽  
Birgit Schmidbauer ◽  
Regina Konrad ◽  
...  

In September 2018, a child who had returned from Somalia to Germany presented with cutaneous diphtheria by toxigenic Corynebacterium diphtheriae biovar mitis. The child’s sibling had superinfected insect bites harbouring also toxigenic C. diphtheriae. Next generation sequencing (NGS) revealed the same strain in both patients suggesting very recent human-to-human transmission. Epidemiological and NGS data suggest that the two cutaneous diphtheria cases constitute the first outbreak by toxigenic C. diphtheriae in Germany since the 1980s.


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.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e23528-e23528
Author(s):  
Gang Zhao ◽  
Lu Xie ◽  
Wei Guo ◽  
Yanfeng Xi ◽  
Yanzhi Cui ◽  
...  

e23528 Background: The rarity and heterogeneity of sarcoma has been complicating the diagnosis of sarcoma for years. Even expert pathologists of sarcoma could make mistakes in the diagnosis of this disease. The availability of Next Generation Sequencing (NGS) data enabled more accurate diagnosis of sarcoma. In this study, we systematically described the application of NGS on the diagnosis of sarcoma and the contribution of NGS to the diagnostic accuracy of sarcoma. Methods: A multi-center, retrospective study included 235 sarcoma patients’ tumor and paired normal samples that were sent from 56 hospitals to a College of American Pathologists (CAP) accredited and Clinical Laboratory Improvement Amendments (CLIA) certified laboratory, at Shanghai, China for Next Generation Sequencing (NGS) was performed. Using next generation sequencing based YS panel consisting 450 genes, these 235 sarcoma patients’ sample were sequenced and the NGS data was analyzed. The initial diagnosis without NGS information was reconsidered by expert pathologists. Results: Taking into consideration both the initial diagnosis and the NGS results, the final diagnosis of these 235 sarcoma cases included 8 low grade malignant fibromyxoid tumors, 11 dermatofibrosarcoma protuberans (DFSP), 38 myxoliposarcomas, 22 alveolar rhabdomyosarcomas, 11 alveolar soft tissue sarcoma, 2 desmoplastic small round cell tumors, 37 NTRK rearrangement spindle cell tumors, 40 Ewing’s sarcoma and 66 synoviosarcomas. In total, 29% initial diagnoses were changed according to NGS identified fusions, including 13% low grade malignant fibromyxoid tumors (1 FUS- CREB3L2 fusion), 27% DFSPs (3 COL1A1- PDGFB fusions), 11% myxoliposarcomas (3 FUS- DDIT3 fusions and 1 EWSR1- DDIT3 fusion), 14% alveolar rhabdomyosarcomas (2 PAX7- FOXO1 fusions and 1 FOXO1- LINC00598 fusion), 18% alveolar soft tissue sarcomas (2 ASPSCR1- TFE3 fusions), 50% desmoplastic small round cell tumor (1 EWSR1- WT1 fusion), 95% NTRK rearrangement spindle cell tumors, 13% Ewing’s sarcomas (3 EWSR1- FLI1 fusions and 2 EWSR1- ERG fusions) and 21% synoviosarcomas (9 SS18- SSX1 fusions and 5 SS18- SSX2 fusions). Conclusions: NGS would be highly recommended for accurate diagnosis of sarcoma, especially for NTRK rearrangement spindle cell tumor, the majority of which were confirmed according to NGS identified fusions.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 144-144
Author(s):  
Vera Grossmann ◽  
Alexander Kohlmann ◽  
Claudia Haferlach ◽  
Hans-Ulrich Klein ◽  
Martin Dugas ◽  
...  

Abstract Abstract 144 PicoTiterPlate (PTP) pyrosequencing allows the detection of low-abundance oncogene aberrations in complex samples even with low tumor content. Here, we compared deep sequencing data of two Next-Generation Sequencing (NGS) assays to detect molecular mutations using a PCR-based strategy and, in addition, to uncover inversions, translocations, and insertions in a targeted sequence enrichment workflow (454 Life Sciences, Roche Diagnostics Corporation, Branford, CT). First, we studied 95 patients (CMML, n=81; AML, n=6; MDS, n=3; MPS, n=3; ET, n=2) using the amplicon approach and investigated seven candidate genes with relevance in oncogenesis of myeloid malignancies: TET2, RUNX1, JAK2, MPL, KRAS, NRAS, and CBL. 43 primer pairs were designed to cover the complete coding regions of TET2, RUNX1 (beta isoform), and hotspot regions of the latter genes. In total, 4128 individual PCR reactions were performed with DNA isolated from bone marrow mononuclear cells, followed by product purification, fluorometric quantitation, and equimolar pooling of the corresponding 43 amplicon products to generate one single sequence library per patient. For sequencing, a 454 8-lane PTP was used applying standard FLX chemistry and representing one patient per lane. The median number of base pairs sequenced per patient was 9.23 Mb. For each amplicon a median of 840 reads was generated (coverage range: 485–1929 reads). As initial proof-of-concept analysis 27 of the 95 patients with known mutations (n=32) as detected by conventional sequencing or melting curve analyses were investigated (range of cells carrying the respective mutation: 1.1% for JAK2 V617F to 98.14% for TET2 C1464X). In all cases, 454 NGS confirmed results from routine diagnostic methods (GS Amplicon Variant Analyzer software version 2.0.01). We then investigated the remaining 69 CMML patients: In median, 2 variances (range 1–8 variances), i.e. differences in comparison to the reference sequence, per patient were detected. These variances included both point mutations in all candidate genes and large deletions (12-19 bp) in CBL, RUNX1, and TET2. Only 20/81 patients of the CMML-cohort (24.69%) were without any detectable mutation. Secondly, in a cohort of six AML bone marrow specimens a custom NimbleGen array (385K format; Madison, WI) was used to perform a targeted DNA sequence enrichment procedure. In total, capture probes spanning 1.91 Mb were designed to represent all coding regions of 92 target genes (1559 exons) with relevance in hematological malignancies (e.g. KIT, NF1, TP53, BCR, ABL1, NPM1, or FLT3). In addition, the complete genomic regions were targeted for RUNX1, CBFB, and MLL. For sequencing, 454 Titanium chemistry was applied, loading three patients per lane on a 2-lane PTP including three molecular identifiers (MIDs) each. Data analysis was performed using the GS Reference Mapper software version 2.0.01. For the enrichment assay, the median enrichment of the targeted genomic loci was 207-fold, as assessed by ligation-mediated LM-PCR. Overall, 1,098,132 reads were generated in the two lanes, yielding a total sequence length of 386,097,740 bases. In median, 96.52% of the sequenced bases mapped against the human genome, and 66.0% were derived from the customized NimbleGen array capture probes, resulting in a median coverage of 18.7-fold . With this method it was possible to detect and confirm point mutations (KIT, FLT3-TKD, and KRAS) and insertions (FLT3-ITD). Moreover, by capturing chimeric DNA fragments and generating reads mapping to both fusion partners this approach detected balanced aberrations, i.e. inv(16)(p13q22) and the translocations t(8;21)(q22;q22) or t(9;11)(p22;q23). In conclusion, both assays to specifically sequence targeted regions with oncogenic relevance on a NGS platform demonstrated promising results and are feasible. The amplicon approach is more suitable for detection of mutations in a routine setting and is ideally suited for large genes such as TET2, ATM, and NF1, which are labor-intensive to sequence conventionally. The array-based capturing assay is characterized by a complex and time-consuming workflow with low-throughput. However, the ability to detect balanced genomic aberrations which are detectable thus far only by cytogenetics and FISH has the potential to become an important diagnostic assay, especially in tumors in which cytogenetics can not be applied successfully. Disclosures: Grossmann: MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership. Dicker:MLL Munich Leukemia Laboratory: Employment. Kazak:MLL Munich Leukemia Laboratory: Employment. Schindela:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.


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