Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tefferi, Ayalew, Guglielmelli, Paola, Pardanani, Animesh, Vannucchi, Alessandro M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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
_version_ 1783343214921515008
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
work_keys_str_mv AT tefferiayalew myelofibrosistreatmentalgorithm2018
AT guglielmellipaola myelofibrosistreatmentalgorithm2018
AT pardananianimesh myelofibrosistreatmentalgorithm2018
AT vannucchialessandrom myelofibrosistreatmentalgorithm2018