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IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes
There are considerable new data on mutation topography in persons with myelodysplastic syndromes (MDS). These data have been used to update conventional risk models such as the Revised International Prognostic Scoring System (IPSS-R). Whether the molecular IPSS (IPSS-M) which includes these data imp...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578211/ https://www.ncbi.nlm.nih.gov/pubmed/36253799 http://dx.doi.org/10.1186/s40164-022-00328-4 |
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author | Wu, Junying Zhang, Yudi Qin, Tiejun Xu, Zefeng Qu, Shiqiang Pan, Lijuan Li, Bing Jia, Yujiao Li, Chengwen Wang, Huijun Gao, Qingyan Cai, Wenyu Gong, Jingye Zhao, Songyang Li, Fuhui Gale, Robert Peter Xiao, Zhijian |
author_facet | Wu, Junying Zhang, Yudi Qin, Tiejun Xu, Zefeng Qu, Shiqiang Pan, Lijuan Li, Bing Jia, Yujiao Li, Chengwen Wang, Huijun Gao, Qingyan Cai, Wenyu Gong, Jingye Zhao, Songyang Li, Fuhui Gale, Robert Peter Xiao, Zhijian |
author_sort | Wu, Junying |
collection | PubMed |
description | There are considerable new data on mutation topography in persons with myelodysplastic syndromes (MDS). These data have been used to update conventional risk models such as the Revised International Prognostic Scoring System (IPSS-R). Whether the molecular IPSS (IPSS-M) which includes these data improves survival prediction accuracy is untested. To answer this question, we compared survival prediction accuracies of the IPSS-R and IPSS-M in 852 consecutive subjects with de novo MDS. Concordance statistics (C-statistics) of the IPSS-R and IPSS-M in the entire cohort were similar, 0.67 (95% Confidence Interval [CI] 0.64, 0.71) and 0.68 (0.64, 0.71). Average numbers of mutations and of IPSS-M related mutations were greater in persons ≥ 60 years (2.0 [Interquartile Range [IQR], 1, 3] vs. 1.6 [0, 2], P = 0.003; 1.6 [0, 2] vs. 1.3 [0, 2], P = 0.006). Subjects ≥ 60 years had a higher incidence of mutations in RUNX1, TP53, TET2, SRSF2, DNMT3A, STAG2, EZH2 and DDX41. In contrast, mutations in U2AF1 were more common in persons < 60 years. Next we tested survival prediction accuracy based on age < or ≥ 60 years. C-statistics of the IPSS-R and IPSS-M in subjects ≥ 60 years were 0.66 (0.61, 0.71) and 0.69 (0.64, 0.73) whereas in subjects < 60 years they were 0.67 (0.61, 0.72) and 0.65 (0.59, 0.71). These data indicate an advantage for the IPSS-M over the IPSS-R in subjects ≥ 60 years but not in those < 60 years probably because of a great frequency of mutations correlated with survival in those ≥ 60 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00328-4. |
format | Online Article Text |
id | pubmed-9578211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95782112022-10-19 IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes Wu, Junying Zhang, Yudi Qin, Tiejun Xu, Zefeng Qu, Shiqiang Pan, Lijuan Li, Bing Jia, Yujiao Li, Chengwen Wang, Huijun Gao, Qingyan Cai, Wenyu Gong, Jingye Zhao, Songyang Li, Fuhui Gale, Robert Peter Xiao, Zhijian Exp Hematol Oncol Research There are considerable new data on mutation topography in persons with myelodysplastic syndromes (MDS). These data have been used to update conventional risk models such as the Revised International Prognostic Scoring System (IPSS-R). Whether the molecular IPSS (IPSS-M) which includes these data improves survival prediction accuracy is untested. To answer this question, we compared survival prediction accuracies of the IPSS-R and IPSS-M in 852 consecutive subjects with de novo MDS. Concordance statistics (C-statistics) of the IPSS-R and IPSS-M in the entire cohort were similar, 0.67 (95% Confidence Interval [CI] 0.64, 0.71) and 0.68 (0.64, 0.71). Average numbers of mutations and of IPSS-M related mutations were greater in persons ≥ 60 years (2.0 [Interquartile Range [IQR], 1, 3] vs. 1.6 [0, 2], P = 0.003; 1.6 [0, 2] vs. 1.3 [0, 2], P = 0.006). Subjects ≥ 60 years had a higher incidence of mutations in RUNX1, TP53, TET2, SRSF2, DNMT3A, STAG2, EZH2 and DDX41. In contrast, mutations in U2AF1 were more common in persons < 60 years. Next we tested survival prediction accuracy based on age < or ≥ 60 years. C-statistics of the IPSS-R and IPSS-M in subjects ≥ 60 years were 0.66 (0.61, 0.71) and 0.69 (0.64, 0.73) whereas in subjects < 60 years they were 0.67 (0.61, 0.72) and 0.65 (0.59, 0.71). These data indicate an advantage for the IPSS-M over the IPSS-R in subjects ≥ 60 years but not in those < 60 years probably because of a great frequency of mutations correlated with survival in those ≥ 60 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-022-00328-4. BioMed Central 2022-10-17 /pmc/articles/PMC9578211/ /pubmed/36253799 http://dx.doi.org/10.1186/s40164-022-00328-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wu, Junying Zhang, Yudi Qin, Tiejun Xu, Zefeng Qu, Shiqiang Pan, Lijuan Li, Bing Jia, Yujiao Li, Chengwen Wang, Huijun Gao, Qingyan Cai, Wenyu Gong, Jingye Zhao, Songyang Li, Fuhui Gale, Robert Peter Xiao, Zhijian IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title | IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title_full | IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title_fullStr | IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title_full_unstemmed | IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title_short | IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes |
title_sort | ipss-m has greater survival predictive accuracy compared with ipss-r in persons ≥ 60 years with myelodysplastic syndromes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578211/ https://www.ncbi.nlm.nih.gov/pubmed/36253799 http://dx.doi.org/10.1186/s40164-022-00328-4 |
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