Please use this identifier to cite or link to this item: https://doi.org/10.3390/cancers13020340
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dc.titleT-Cell Lymphoma Clonality by Copy Number Variation Analysis of T-Cell Receptor Genes
dc.contributor.authorOon, Ming Liang
dc.contributor.authorLim, Jing Quan
dc.contributor.authorLee, Bernett
dc.contributor.authorLeong, Sai Mun
dc.contributor.authorSoon, Gwyneth Shook-Ting
dc.contributor.authorWong, Zi Wei
dc.contributor.authorLim, Evelyn Huizi
dc.contributor.authorLi, Zhenhua
dc.contributor.authorYeoh, Allen Eng Juh
dc.contributor.authorChen, Shangying
dc.contributor.authorBan, Kenneth Hon Kim
dc.contributor.authorChung, Tae-Hoon
dc.contributor.authorTan, Soo-Yong
dc.contributor.authorChuang, Shih-Sung
dc.contributor.authorKato, Seiichi
dc.contributor.authorNakamura, Shigeo
dc.contributor.authorTakahashi, Emiko
dc.contributor.authorHo, Yong-Howe
dc.contributor.authorKhoury, Joseph D
dc.contributor.authorAu-Yeung, Rex KH
dc.contributor.authorCheng, Chee-Leong
dc.contributor.authorLim, Soon-Thye
dc.contributor.authorChng, Wee-Joo
dc.contributor.authorTripodo, Claudio
dc.contributor.authorRotzschke, Olaf
dc.contributor.authorOng, Choon Kiat
dc.contributor.authorNg, Siok-Bian
dc.date.accessioned2021-11-17T09:05:27Z
dc.date.available2021-11-17T09:05:27Z
dc.date.issued2021-01-01
dc.identifier.citationOon, Ming Liang, Lim, Jing Quan, Lee, Bernett, Leong, Sai Mun, Soon, Gwyneth Shook-Ting, Wong, Zi Wei, Lim, Evelyn Huizi, Li, Zhenhua, Yeoh, Allen Eng Juh, Chen, Shangying, Ban, Kenneth Hon Kim, Chung, Tae-Hoon, Tan, Soo-Yong, Chuang, Shih-Sung, Kato, Seiichi, Nakamura, Shigeo, Takahashi, Emiko, Ho, Yong-Howe, Khoury, Joseph D, Au-Yeung, Rex KH, Cheng, Chee-Leong, Lim, Soon-Thye, Chng, Wee-Joo, Tripodo, Claudio, Rotzschke, Olaf, Ong, Choon Kiat, Ng, Siok-Bian (2021-01-01). T-Cell Lymphoma Clonality by Copy Number Variation Analysis of T-Cell Receptor Genes. CANCERS 13 (2). ScholarBank@NUS Repository. https://doi.org/10.3390/cancers13020340
dc.identifier.issn20726694
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/206597
dc.description.abstractT-cell lymphomas arise from a single neoplastic clone and exhibit identical patterns of deletions in T-cell receptor (TCR) genes. Whole genome sequencing (WGS) data represent a treasure trove of information for the development of novel clinical applications. However, the use of WGS to identify clonal T-cell proliferations has not been systematically studied. In this study, based on WGS data, we identified monoclonal rearrangements (MRs) of T-cell receptors (TCR) genes using a novel segmentation algorithm and copy number computation. We evaluated the feasibility of this technique as a marker of T-cell clonality using T-cell lymphomas (TCL, n = 44) and extranodal NK/T-cell lymphomas (ENKTLs, n = 20), and identified 98% of TCLs with one or more TCR gene MRs, against 91% detected using PCR. TCR MRs were absent in all ENKTLs and NK cell lines. Sensitivity-wise, this platform is sufficiently competent, with MRs detected in the majority of samples with tumor content under 25% and it can also distinguish monoallelic from biallelic MRs. Understanding the copy number landscape of TCR using WGS data may engender new diagnostic applications in hematolymphoid pathology, which can be readily adapted to the analysis of B-cell receptor loci for B-cell clonality determination.
dc.language.isoen
dc.publisherMDPI
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectOncology
dc.subjectwhole genome sequencing
dc.subjectT-cell receptor
dc.subjectclonality
dc.subjectcopy number variation analysis
dc.subjectT-cell lymphoma
dc.typeArticle
dc.date.updated2021-11-17T06:41:24Z
dc.contributor.departmentDEPT OF PATHOLOGY
dc.contributor.departmentDEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
dc.contributor.departmentPAEDIATRICS
dc.contributor.departmentDEPT OF BIOCHEMISTRY
dc.contributor.departmentCANCER SCIENCE INSTITUTE OF SINGAPORE
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.3390/cancers13020340
dc.description.sourcetitleCANCERS
dc.description.volume13
dc.description.issue2
dc.published.statePublished
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