Dataset Information

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA.

ABSTRACT: Detecting gene fusions involving driver oncogenes is pivotal in clinical diagnosis and treatment of cancer patients. Recent developments in next-generation sequencing (NGS) technologies have enabled improved assays for bioinformatics-based gene fusions detection. In clinical applications, where a small number of fusions are clinically actionable, targeted polymerase chain reaction (PCR)-based NGS chemistries, such as the QIAseq RNAscan assay, aim to improve accuracy compared to standard RNA sequencing. Existing informatics methods for gene fusion detection in NGS-based RNA sequencing assays traditionally use a transcriptome-based spliced alignment approach or a de-novo assembly approach. Transcriptome-based spliced alignment methods face challenges with short read mapping yielding low quality alignments. De-novo assembly-based methods yield longer contigs from short reads that can be more sensitive for genomic rearrangements, but face performance and scalability challenges. Consequently, there exists a need for a method to efficiently and accurately detect fusions in targeted PCR-based NGS chemistries. We describe SeekFusion, a highly accurate and computationally efficient pipeline enabling identification of gene fusions from PCR-based NGS chemistries. Utilizing biological samples processed with the QIAseq RNAscan assay and in-silico simulated data we demonstrate that SeekFusion gene fusion detection accuracy outperforms popular existing methods such as STAR-Fusion, TOPHAT-Fusion and JAFFA-hybrid. We also present results from 4,484 patient samples tested for neurological tumors and sarcoma, encompassing details on some novel fusions identified.

SUBMITTER: Balan J

PROVIDER: S-EPMC8569241 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA.

Balan Jagadheshwar J Jenkinson Garrett G Nair Asha A Saha Neiladri N Koganti Tejaswi T Voss Jesse J Zysk Christopher C Barr Fritcher Emily G EG Ross Christian A CA Giannini Caterina C Raghunathan Aditya A Kipp Benjamin R BR Jenkins Robert R Ida Cris C Halling Kevin C KC Blackburn Patrick R PR Dasari Surendra S Oliver Gavin R GR Klee Eric W EW

Frontiers in genetics 20211022

Detecting gene fusions involving driver oncogenes is pivotal in clinical diagnosis and treatment of cancer patients. Recent developments in next-generation sequencing (NGS) technologies have enabled improved assays for bioinformatics-based gene fusions detection. In clinical applications, where a small number of fusions are clinically actionable, targeted polymerase chain reaction (PCR)-based NGS chemistries, such as the QIAseq RNAscan assay, aim to improve accuracy compared to standard RNA sequ ...[more]

PMID: 34745213

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Project description:BackgroundWith the continuing decrease in cost of whole genome sequencing (WGS), we have already approached the point of inflection where WGS testing has become economically feasible, facilitating broader access to the benefits that are helping to define WGS as the new diagnostic standard. WGS provides unique opportunities for detection of structural variants; however, such analyses, despite being recognized by the research community, have not previously made their way into routine clinical practice.ResultsWe have developed a clinically validated pipeline for highly specific and sensitive detection of structural variants basing on 30X PCR-free WGS. Using a combination of breakpoint analysis of split and discordant reads, and read depth analysis, the pipeline identifies structural variants down to single base pair resolution. False positives are minimized using calculations for loss of heterozygosity and bi-modal heterozygous variant allele frequencies to enhance heterozygous deletion and duplication detection respectively. Compound and potential compound combinations of structural variants and small sequence changes are automatically detected. To facilitate clinical interpretation, identified variants are annotated with phenotype information derived from HGMD Professional and population allele frequencies derived from public and Variantyx allele frequency databases. Single base pair resolution enables easy visual inspection of potentially causal variants using the IGV genome browser as well as easy biochemical validation via PCR. Analytical and clinical sensitivity and specificity of the pipeline has been validated using analysis of Genome in a Bottle reference genomes and known positive samples confirmed by orthogonal sequencing technologies.ConclusionConsistent read depth of PCR-free WGS enables reliable detection of structural variants of any size. Annotation both on gene and variant level allows clinicians to match reported patient phenotype with detected variants and confidently report causative finding in all clinical cases used for validation.

Project description:Ovarian cancer, a complex and aggressive malignancy, remains a significant challenge in clinical oncology due to its heterogeneous nature and limited therapeutic options. In this study, across Pakistani ovarian cancer patients, we conducted a comprehensive analysis of mutations within the BRCA1 and BRCA2 genes to elucidate their potential implications in ovarian cancer susceptibility and progression. Employing Next-Generation Sequencing (NGS), we conducted a comprehensive mutational analysis of BRCA1/2 genes. Kaplan Meier analysis was used to analyze the effect of pathogenic mutations on the survival outcomes of ovarian cancer patients. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and Immunohistochemistry (IHC) analyses were conducted to analyze the downstream effect of the pathogenic mutations. Targeted bisulfite sequencing (bisulfite-seq) analysis facilitated the investigation of epigenetic contributions to gene expression regulation. Enrichment analysis was conducted to uncover significant Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with BRCA1/2. Exploring DrugBank, we identified potential drugs capable of modulating BRCA1/2 expression regulation. NGS analysis identified three clinically significant pathogenic mutations within the BRCA1 gene and two within the BRCA2 gene, shedding light on their potential involvement in ovarian cancer susceptibility and progression. Kaplan Meier analysis unveiled poor overall survival (OS) associated with the identified pathogenic mutations, accentuating their prognostic value. Expression analysis using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and IHC demonstrated a significant up-regulation of BRCA1 and BRCA2 genes in ovarian cancer samples harboring pathogenic mutations. Bisulfite-seq revealed a significant hypomethylation within promoter regions of mutated BRCA1 and BRCA2 genes in ovarian cancer samples, compared to non-mutated cases with pathogenic mutations, indicating the role of epigenetics in expression dysregulation as well. By uncovering clinically significant pathogenic mutations in BRCA1/2 genes and establishing their link with up-regulated gene expression, this study significantly advances our understanding of ovarian cancer's underlying causes in the Pakistani population.

Dataset Information

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA.

Publications

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA.

Similar Datasets

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