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Myelofibrosis Treatment Algorithm 2018
Two novel prognostic systems for primary myelofibrosis (PMF) were recently unveiled: GIPSS (genetically inspired prognostic scoring system) and MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients). GIPSS is based exclusively on genetic markers: mutations an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068139/ https://www.ncbi.nlm.nih.gov/pubmed/30065290 http://dx.doi.org/10.1038/s41408-018-0109-0 |
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author | Tefferi, Ayalew Guglielmelli, Paola Pardanani, Animesh Vannucchi, Alessandro M. |
author_facet | Tefferi, Ayalew Guglielmelli, Paola Pardanani, Animesh Vannucchi, Alessandro M. |
author_sort | Tefferi, Ayalew |
collection | PubMed |
description | Two novel prognostic systems for primary myelofibrosis (PMF) were recently unveiled: GIPSS (genetically inspired prognostic scoring system) and MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients). GIPSS is based exclusively on genetic markers: mutations and karyotype. MIPSS70 includes mutations and clinical risk factors. In its most recent adaptation, the prognostic value of MIPSS70 has been bolstered by the inclusion of a three-tiered cytogenetic risk stratification and use of hemoglobin thresholds that are adjusted for sex and severity (MIPSS70+ version 2.0). GIPSS features four, MIPSS70 three, and MIPSS70+ version 2.0 five risk categories. MIPSS70 is most useful in the absence of cytogenetic information. MIPSS70+ version 2.0 is more comprehensive than MIPSS70 and is the preferred model in the presence of cytogenetic information. Both MIPSS70 and MIPSS70+ version 2.0 require an online score calculator (http://www.mipss70score.it). GIPPS offers a lower complexity prognostic tool that reliably identifies candidates for allogeneic stem cell transplant (GIPSS high-risk disease) or long-term observation with little or no therapeutic intervention (GIPSS low-risk disease). Ultimately, we favor a step-wise prognostication approach that starts with GIPSS but also considers MIPSS70+ version 2.0 for confirming the most appropriate treatment approach for the individual patient. |
format | Online Article Text |
id | pubmed-6068139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60681392018-08-01 Myelofibrosis Treatment Algorithm 2018 Tefferi, Ayalew Guglielmelli, Paola Pardanani, Animesh Vannucchi, Alessandro M. Blood Cancer J Current Treatment Algorithm Two novel prognostic systems for primary myelofibrosis (PMF) were recently unveiled: GIPSS (genetically inspired prognostic scoring system) and MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients). GIPSS is based exclusively on genetic markers: mutations and karyotype. MIPSS70 includes mutations and clinical risk factors. In its most recent adaptation, the prognostic value of MIPSS70 has been bolstered by the inclusion of a three-tiered cytogenetic risk stratification and use of hemoglobin thresholds that are adjusted for sex and severity (MIPSS70+ version 2.0). GIPSS features four, MIPSS70 three, and MIPSS70+ version 2.0 five risk categories. MIPSS70 is most useful in the absence of cytogenetic information. MIPSS70+ version 2.0 is more comprehensive than MIPSS70 and is the preferred model in the presence of cytogenetic information. Both MIPSS70 and MIPSS70+ version 2.0 require an online score calculator (http://www.mipss70score.it). GIPPS offers a lower complexity prognostic tool that reliably identifies candidates for allogeneic stem cell transplant (GIPSS high-risk disease) or long-term observation with little or no therapeutic intervention (GIPSS low-risk disease). Ultimately, we favor a step-wise prognostication approach that starts with GIPSS but also considers MIPSS70+ version 2.0 for confirming the most appropriate treatment approach for the individual patient. Nature Publishing Group UK 2018-07-31 /pmc/articles/PMC6068139/ /pubmed/30065290 http://dx.doi.org/10.1038/s41408-018-0109-0 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Current Treatment Algorithm Tefferi, Ayalew Guglielmelli, Paola Pardanani, Animesh Vannucchi, Alessandro M. Myelofibrosis Treatment Algorithm 2018 |
title | Myelofibrosis Treatment Algorithm 2018 |
title_full | Myelofibrosis Treatment Algorithm 2018 |
title_fullStr | Myelofibrosis Treatment Algorithm 2018 |
title_full_unstemmed | Myelofibrosis Treatment Algorithm 2018 |
title_short | Myelofibrosis Treatment Algorithm 2018 |
title_sort | myelofibrosis treatment algorithm 2018 |
topic | Current Treatment Algorithm |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068139/ https://www.ncbi.nlm.nih.gov/pubmed/30065290 http://dx.doi.org/10.1038/s41408-018-0109-0 |
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