Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.
Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.
As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.
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Automated, Accurate Reporting for NGS-Based Clonality Testing
FOR IMMEDIATE RELEASE 2023-05-16
“[...] we have developed a fully automated calling algorithm for determining B and T cell clonality from NGS [next-generation sequencing] data, with greater sensitivity than previously developed models.”
B and T cells undergo random recombination of the VH/DH/JH portions of the immunoglobulin loci (B cell) and T-cell receptors before becoming functional cells. When one V-J rearrangement is over-represented in a population of B or T cells indicating an origin from a single cell, this indicates a clonal process. Clonality aids in the diagnosis and monitoring of lymphoproliferative disorders and evaluation of disease recurrence.
In a new study, researchers Sean T. Glenn, Phillip M. Galbo Jr., Jesse D. Luce, Kiersten Marie Miles, Prashant K. Singh, Manuel J. Glynias, and Carl Morrison from Roswell Park Comprehensive Cancer Center aimed to develop objective criteria, which can be automated, to classify B and T cell clonality results as positive (clonal), No evidence of clonality, or invalid (failed).
“Using clinical samples with 'gold standard' clonality data obtained using PCR/CE testing, we ran NGS-based amplicon clonality assays and developed our own model for clonality reporting.”
To assess the performance of their model, the researchers analyzed the NGS results across other published models. Their model for clonality calling using NGS-based technology increases the assay’s sensitivity, more accurately detecting clonality. In addition, they built a computational pipeline to use their model to objectively call clonality in an automated fashion.
“Collectively the results outlined below will have a direct clinical impact by expediting the review and sign-out process for concise clonality reporting.”
About Oncotarget: Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.
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