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Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia
BACKGROUND: Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm classified in the myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) category. Molecular abnormalities are reported in about 90 % of patients with CMML. ASXL1 and SETBP1 mutations, but not TET2 or SFRS2 mutations ar...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445804/ https://www.ncbi.nlm.nih.gov/pubmed/26019984 http://dx.doi.org/10.1186/s40164-015-0009-y |
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author | Cui, Yajuan Tong, Hongyan Du, Xin Li, Bing Gale, Robert Peter Qin, Tiejun Liu, Jinqin Xu, Zefeng Zhang, Yue Huang, Gang Jin, Jie Fang, Liwei Zhang, Hongli Pan, Lijuan Hu, Naibo Qu, Shiqiang Xiao, Zhijian |
author_facet | Cui, Yajuan Tong, Hongyan Du, Xin Li, Bing Gale, Robert Peter Qin, Tiejun Liu, Jinqin Xu, Zefeng Zhang, Yue Huang, Gang Jin, Jie Fang, Liwei Zhang, Hongli Pan, Lijuan Hu, Naibo Qu, Shiqiang Xiao, Zhijian |
author_sort | Cui, Yajuan |
collection | PubMed |
description | BACKGROUND: Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm classified in the myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) category. Molecular abnormalities are reported in about 90 % of patients with CMML. ASXL1 and SETBP1 mutations, but not TET2 or SFRS2 mutations are reported to be associated with prognosis. METHODS: We studied frequency of TET2, SRSF2, ASXL1 and SETBP1 mutations in 145 patients with CMML using Sanger sequencing, and determined the prognostic factors for OS. We also identified the predictive value of ASXL1 mutations (frameshift and nonsense mutations) through comparing the Mayo Prognostic Model with the Mayo Molecular Model. RESULTS: Forty-seven (32 %) had a mutation in TET2, 42 (29 %), a mutation in SRSF2, 65 (45 %), a mutation (nonsense and frame-shift) in ASXL1 and 26 (18 %), a mutation in SETBP1. Significant variables in multivariable analysis of survival included ASXL1 (HR = 1.99 [1.20–3.28]; P = 0.007), hemoglobin <100 g/L (HR = 2.42 [1.40–4.19]; P = 0.002) and blood immature myeloid cells (IMCs) (HR = 2.08 [1.25–3.46]; P = 0.005). When our patients were analyzed using the Mayo Prognostic Model median OS were not reached, 26 months and 15 months (P = 0.014). An analysis using the Mayo Molecular Model identified 4 cohorts with median OS of not reached, 70 months, 26 months and 11 months (P < 0.001). Data fitting using our patients suggest the Molecular Mayo Model has significantly higher survival predictive power compared with Mayo Prognostic Model (P < 0.001, −2 log-likelihood ratios of 538.070 and 552.260). CONCLUSIONS: There were high frequencies of mutations in TET2, SRSF2, ASXL1 and SETBP1 in patients with CMML. With the addition of ASXL1 frameshift and nonsense mutations, the Mayo Molecular Model fitted better than Mayo Prognostic Model of our patients. |
format | Online Article Text |
id | pubmed-4445804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44458042015-05-28 Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia Cui, Yajuan Tong, Hongyan Du, Xin Li, Bing Gale, Robert Peter Qin, Tiejun Liu, Jinqin Xu, Zefeng Zhang, Yue Huang, Gang Jin, Jie Fang, Liwei Zhang, Hongli Pan, Lijuan Hu, Naibo Qu, Shiqiang Xiao, Zhijian Exp Hematol Oncol Research BACKGROUND: Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm classified in the myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) category. Molecular abnormalities are reported in about 90 % of patients with CMML. ASXL1 and SETBP1 mutations, but not TET2 or SFRS2 mutations are reported to be associated with prognosis. METHODS: We studied frequency of TET2, SRSF2, ASXL1 and SETBP1 mutations in 145 patients with CMML using Sanger sequencing, and determined the prognostic factors for OS. We also identified the predictive value of ASXL1 mutations (frameshift and nonsense mutations) through comparing the Mayo Prognostic Model with the Mayo Molecular Model. RESULTS: Forty-seven (32 %) had a mutation in TET2, 42 (29 %), a mutation in SRSF2, 65 (45 %), a mutation (nonsense and frame-shift) in ASXL1 and 26 (18 %), a mutation in SETBP1. Significant variables in multivariable analysis of survival included ASXL1 (HR = 1.99 [1.20–3.28]; P = 0.007), hemoglobin <100 g/L (HR = 2.42 [1.40–4.19]; P = 0.002) and blood immature myeloid cells (IMCs) (HR = 2.08 [1.25–3.46]; P = 0.005). When our patients were analyzed using the Mayo Prognostic Model median OS were not reached, 26 months and 15 months (P = 0.014). An analysis using the Mayo Molecular Model identified 4 cohorts with median OS of not reached, 70 months, 26 months and 11 months (P < 0.001). Data fitting using our patients suggest the Molecular Mayo Model has significantly higher survival predictive power compared with Mayo Prognostic Model (P < 0.001, −2 log-likelihood ratios of 538.070 and 552.260). CONCLUSIONS: There were high frequencies of mutations in TET2, SRSF2, ASXL1 and SETBP1 in patients with CMML. With the addition of ASXL1 frameshift and nonsense mutations, the Mayo Molecular Model fitted better than Mayo Prognostic Model of our patients. BioMed Central 2015-05-20 /pmc/articles/PMC4445804/ /pubmed/26019984 http://dx.doi.org/10.1186/s40164-015-0009-y Text en © Cui et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Cui, Yajuan Tong, Hongyan Du, Xin Li, Bing Gale, Robert Peter Qin, Tiejun Liu, Jinqin Xu, Zefeng Zhang, Yue Huang, Gang Jin, Jie Fang, Liwei Zhang, Hongli Pan, Lijuan Hu, Naibo Qu, Shiqiang Xiao, Zhijian Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title | Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title_full | Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title_fullStr | Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title_full_unstemmed | Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title_short | Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia |
title_sort | impact of tet2, srsf2, asxl1 and setbp1 mutations on survival of patients with chronic myelomonocytic leukemia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445804/ https://www.ncbi.nlm.nih.gov/pubmed/26019984 http://dx.doi.org/10.1186/s40164-015-0009-y |
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