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Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes
Myelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patient...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993876/ https://www.ncbi.nlm.nih.gov/pubmed/35396491 http://dx.doi.org/10.1038/s41598-022-09864-9 |
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author | Maurya, Nehakumari Mohanty, Purvi Dhangar, Somprakash Panchal, Purvi Jijina, Farah Mathan, S. Leo Prince Shanmukhaiah, Chandrakala Madkaikar, Manisha Vundinti, Babu Rao |
author_facet | Maurya, Nehakumari Mohanty, Purvi Dhangar, Somprakash Panchal, Purvi Jijina, Farah Mathan, S. Leo Prince Shanmukhaiah, Chandrakala Madkaikar, Manisha Vundinti, Babu Rao |
author_sort | Maurya, Nehakumari |
collection | PubMed |
description | Myelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patients. We have studied 152 MDS patients using cytogenetics and next generation sequencing (NGS). These patients were evaluated and as per cytogenetic prognostic group, majority (92.1%) of the patients classified as good (81.6%) and intermediate (10.5%) group. The NGS identified 38 different gene mutations in our cohort. Among 111 MDS patients with mutations, the most frequent mutated genes were SF3B1 (25.2%), SRSF2 (19%) U2AF1 (14.4%) ASXL1 (9.9%) RUNX1 (9.9%) TET2 (9%), TP53 (9%), ATM (6.3%), NRAS (5.4%) and JAK2/3 (5.4%). The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS and ASXL1 were significantly (P < 0.05) associated with poor survival of the patients. The univariate cox and multivariate cox analysis of our study suggested that the age, marrow morphology, cytogenetic and gene mutations with IPSS-R should be considered for prognosticating the MDS patients. We have proposed M-IPSS-R which changed the risk stratification i.e. 66.3% patients had decreased risk whereas 33.75% showed increased risk compared to IPSS-R. The survival analysis also showed that the M-IPSS-R were more significant in separating the patients as per their risk than the IPSS-R alone. The change in risk stratification could help in proper strategy for the treatment planning. |
format | Online Article Text |
id | pubmed-8993876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89938762022-04-11 Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes Maurya, Nehakumari Mohanty, Purvi Dhangar, Somprakash Panchal, Purvi Jijina, Farah Mathan, S. Leo Prince Shanmukhaiah, Chandrakala Madkaikar, Manisha Vundinti, Babu Rao Sci Rep Article Myelodysplastic syndromes (MDS) are a group of clonal hematological disease with high risk of progression to AML. Accurate risk stratification is of importance for the proper management of MDS. Genetic lesions (Cytogenetic and Molecular mutations) are known to help in prognosticating the MDS patients. We have studied 152 MDS patients using cytogenetics and next generation sequencing (NGS). These patients were evaluated and as per cytogenetic prognostic group, majority (92.1%) of the patients classified as good (81.6%) and intermediate (10.5%) group. The NGS identified 38 different gene mutations in our cohort. Among 111 MDS patients with mutations, the most frequent mutated genes were SF3B1 (25.2%), SRSF2 (19%) U2AF1 (14.4%) ASXL1 (9.9%) RUNX1 (9.9%) TET2 (9%), TP53 (9%), ATM (6.3%), NRAS (5.4%) and JAK2/3 (5.4%). The survival analysis revealed that the mutations in TP53, JAK2/3, KRAS, NRAS and ASXL1 were significantly (P < 0.05) associated with poor survival of the patients. The univariate cox and multivariate cox analysis of our study suggested that the age, marrow morphology, cytogenetic and gene mutations with IPSS-R should be considered for prognosticating the MDS patients. We have proposed M-IPSS-R which changed the risk stratification i.e. 66.3% patients had decreased risk whereas 33.75% showed increased risk compared to IPSS-R. The survival analysis also showed that the M-IPSS-R were more significant in separating the patients as per their risk than the IPSS-R alone. The change in risk stratification could help in proper strategy for the treatment planning. Nature Publishing Group UK 2022-04-08 /pmc/articles/PMC8993876/ /pubmed/35396491 http://dx.doi.org/10.1038/s41598-022-09864-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Maurya, Nehakumari Mohanty, Purvi Dhangar, Somprakash Panchal, Purvi Jijina, Farah Mathan, S. Leo Prince Shanmukhaiah, Chandrakala Madkaikar, Manisha Vundinti, Babu Rao Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title | Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title_full | Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title_fullStr | Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title_full_unstemmed | Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title_short | Comprehensive analysis of genetic factors predicting overall survival in Myelodysplastic syndromes |
title_sort | comprehensive analysis of genetic factors predicting overall survival in myelodysplastic syndromes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993876/ https://www.ncbi.nlm.nih.gov/pubmed/35396491 http://dx.doi.org/10.1038/s41598-022-09864-9 |
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