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RNA sequencing as an alternative tool for detecting measurable residual disease in core-binding factor acute myeloid leukemia
DC Field | Value | Language |
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dc.contributor.author | 민유홍 | - |
dc.contributor.author | 정준원 | - |
dc.date.accessioned | 2021-09-29T00:36:02Z | - |
dc.date.available | 2021-09-29T00:36:02Z | - |
dc.date.issued | 2020-11 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/183945 | - |
dc.description.abstract | DNA sequencing-based measurable residual disease (MRD) detection has shown to be clinically relevant in AML. However, the same methodology cannot be applied to fusion gene-driven subtypes of AML such as core-binding factor AML (CBF-AML). Here in this study, we evaluated the effectiveness of using DNA and RNA sequencing in MRD detection and in tracking clonal dynamics in CBF-AML. Using RNA-seq, we were able to quantify expression levels of RUNX1-RUNX1T1 and CBFB-MYH11 at diagnosis and their levels of reduction during remission (P < 6.3e-05 and P < 2.2e-13). The level of reduction of RUNX1-RUNX1T1 as measured by RNA-seq and qPCR were highly correlated (R2 = 0.74, P < 5.4e-05). A decision tree analysis, based on 3-log reduction of RUNX1-RUNX1T1 and cKIT-D816mut at diagnosis, stratified RUNX1-RUNX1T1 AML patients into three subgroups. These three subgroups had 2-year overall survival rates at 87%, 74%, and 33% (P < 0.08) and 2-year relapse incidence rates at 13%, 42%, and 67% (P < 0.05). On the other hand, although low residual allelic burden was common, it was not associated with long-term outcome, indicating that mutation clearance alone cannot be interpreted as MRD-negative. Overall, our study demonstrates that the clinical utility of RNA sequencing as a potential tool for MRD monitoring in fusion gene-driven AML such as RUNX1-RUNX1T1 AML. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Adolescent | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Core Binding Factor Alpha 2 Subunit / genetics | - |
dc.subject.MESH | Core Binding Factors / genetics* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Gene Expression Regulation, Leukemic | - |
dc.subject.MESH | Gene Rearrangement | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Leukemia, Myeloid, Acute / genetics* | - |
dc.subject.MESH | Leukemia, Myeloid, Acute / mortality | - |
dc.subject.MESH | Leukemia, Myeloid, Acute / pathology* | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Mutation* | - |
dc.subject.MESH | Myosin Heavy Chains / genetics | - |
dc.subject.MESH | Neoplasm, Residual / genetics | - |
dc.subject.MESH | Oncogene Proteins, Fusion / genetics | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Proof of Concept Study | - |
dc.subject.MESH | RUNX1 Translocation Partner 1 Protein / genetics | - |
dc.subject.MESH | Sequence Analysis, RNA / methods* | - |
dc.subject.MESH | Young Adult | - |
dc.title | RNA sequencing as an alternative tool for detecting measurable residual disease in core-binding factor acute myeloid leukemia | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | TaeHyung Kim | - |
dc.contributor.googleauthor | Joon Ho Moon | - |
dc.contributor.googleauthor | Jae-Sook Ahn | - |
dc.contributor.googleauthor | Seo-Yeon Ahn | - |
dc.contributor.googleauthor | Sung-Hoon Jung | - |
dc.contributor.googleauthor | Deok-Hwan Yang | - |
dc.contributor.googleauthor | Je-Jung Lee | - |
dc.contributor.googleauthor | Myung-Geun Shin | - |
dc.contributor.googleauthor | Seung Hyun Choi | - |
dc.contributor.googleauthor | Ja-Yeon Lee | - |
dc.contributor.googleauthor | Marc S Tyndel | - |
dc.contributor.googleauthor | Hui Young Lee | - |
dc.contributor.googleauthor | Kyoung Ha Kim | - |
dc.contributor.googleauthor | Yu Cai | - |
dc.contributor.googleauthor | Yoo Jin Lee | - |
dc.contributor.googleauthor | Sang Kyun Sohn | - |
dc.contributor.googleauthor | Yoo Hong Min | - |
dc.contributor.googleauthor | June-Won Cheong | - |
dc.contributor.googleauthor | Hyeoung-Joon Kim | - |
dc.contributor.googleauthor | Zhaolei Zhang | - |
dc.contributor.googleauthor | Dennis Dong Hwan Kim | - |
dc.identifier.doi | 10.1038/s41598-020-76933-2 | - |
dc.contributor.localId | A01407 | - |
dc.contributor.localId | A03729 | - |
dc.relation.journalcode | J02646 | - |
dc.identifier.eissn | 2045-2322 | - |
dc.identifier.pmid | 33208771 | - |
dc.contributor.alternativeName | Min, Yoo Hong | - |
dc.contributor.affiliatedAuthor | 민유홍 | - |
dc.contributor.affiliatedAuthor | 정준원 | - |
dc.citation.volume | 10 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 20119 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, Vol.10(1) : 20119, 2020-11 | - |
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