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RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification
BACKGROUND: Myeloid sarcoma (MS) is a rare, extramedullary tumor consisting of myeloid blasts. Little is known about the genetic background of MS and the prognostic value of genetic abnormalities in MS. In particular, the broad variety of gene fusions that occur in MS is marginally covered by tradit...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166975/ https://www.ncbi.nlm.nih.gov/pubmed/36916780 http://dx.doi.org/10.1002/cam4.5654 |
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author | Yang, Yunfan Shu, Yang Tang, Yuan Zhao, Sha Jia, Yongqian Ji, Jie Ma, Hongbing Lin, Ting Zheng, Ke Xu, Heng Wu, Yu |
author_facet | Yang, Yunfan Shu, Yang Tang, Yuan Zhao, Sha Jia, Yongqian Ji, Jie Ma, Hongbing Lin, Ting Zheng, Ke Xu, Heng Wu, Yu |
author_sort | Yang, Yunfan |
collection | PubMed |
description | BACKGROUND: Myeloid sarcoma (MS) is a rare, extramedullary tumor consisting of myeloid blasts. Little is known about the genetic background of MS and the prognostic value of genetic abnormalities in MS. In particular, the broad variety of gene fusions that occur in MS is marginally covered by traditional testing methods due to lack of fresh tumor specimens. METHODS: Here, we analyzed the clinical and genetic features of 61 MS cases. We performed RNA sequencing (RNA‐seq) on formalin‐fixed paraffin‐embedded (FFPE) or fresh samples to analyze fusion genes in 26 cases. In addition, we performed genetic abnormalities‐based risk stratification using fusion genes and gene mutations. RESULTS: A total of 305 fusion genes were identified in 22 cases, including the following five recurrent fusion genes: RUNX1‐RUNX1T1, CBFβ‐MYH11, ETV6‐MECOM, FUS‐ERG, and PICALM‐MLLT10. The prognosis in the adverse‐risk group was significantly worse than that in the favorable/intermediate‐risk group (median survival: 12 months vs. not reached; p = 0.0004). CONCLUSION: These results indicated the efficacy of RNA‐seq using FFPE‐derived RNA as a clinical routine for detecting fusion genes, which can be used as markers for risk stratification in MS. |
format | Online Article Text |
id | pubmed-10166975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101669752023-05-10 RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification Yang, Yunfan Shu, Yang Tang, Yuan Zhao, Sha Jia, Yongqian Ji, Jie Ma, Hongbing Lin, Ting Zheng, Ke Xu, Heng Wu, Yu Cancer Med RESEARCH ARTICLES BACKGROUND: Myeloid sarcoma (MS) is a rare, extramedullary tumor consisting of myeloid blasts. Little is known about the genetic background of MS and the prognostic value of genetic abnormalities in MS. In particular, the broad variety of gene fusions that occur in MS is marginally covered by traditional testing methods due to lack of fresh tumor specimens. METHODS: Here, we analyzed the clinical and genetic features of 61 MS cases. We performed RNA sequencing (RNA‐seq) on formalin‐fixed paraffin‐embedded (FFPE) or fresh samples to analyze fusion genes in 26 cases. In addition, we performed genetic abnormalities‐based risk stratification using fusion genes and gene mutations. RESULTS: A total of 305 fusion genes were identified in 22 cases, including the following five recurrent fusion genes: RUNX1‐RUNX1T1, CBFβ‐MYH11, ETV6‐MECOM, FUS‐ERG, and PICALM‐MLLT10. The prognosis in the adverse‐risk group was significantly worse than that in the favorable/intermediate‐risk group (median survival: 12 months vs. not reached; p = 0.0004). CONCLUSION: These results indicated the efficacy of RNA‐seq using FFPE‐derived RNA as a clinical routine for detecting fusion genes, which can be used as markers for risk stratification in MS. John Wiley and Sons Inc. 2023-03-14 /pmc/articles/PMC10166975/ /pubmed/36916780 http://dx.doi.org/10.1002/cam4.5654 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Yang, Yunfan Shu, Yang Tang, Yuan Zhao, Sha Jia, Yongqian Ji, Jie Ma, Hongbing Lin, Ting Zheng, Ke Xu, Heng Wu, Yu RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title |
RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title_full |
RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title_fullStr |
RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title_full_unstemmed |
RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title_short |
RNA sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
title_sort | rna sequencing of myeloid sarcoma, shed light on myeloid sarcoma stratification |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166975/ https://www.ncbi.nlm.nih.gov/pubmed/36916780 http://dx.doi.org/10.1002/cam4.5654 |
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