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A simple additive staging system for newly diagnosed multiple myeloma

Risk stratification in multiple myeloma is important for prognostication, patient selection for clinical trials, and comparison of treatment approaches. We developed and validated a staging system that incorporates additional FISH abnormalities not included in the R-ISS and reflects the additive eff...

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Autores principales: Abdallah, Nadine H., Binder, Moritz, Rajkumar, S. Vincent, Greipp, Patricia T., Kapoor, Prashant, Dispenzieri, Angela, Gertz, Morie A., Baughn, Linda B., Lacy, Martha Q., Hayman, Suzanne R., Buadi, Francis K., Dingli, David, Go, Ronald S., Hwa, Yi L., Fonder, Amie L., Hobbs, Miriam A., Lin, Yi, Leung, Nelson, Kourelis, Taxiarchis, Warsame, Rahma, Siddiqui, Mustaqeem A., Kyle, Robert A., Bergsagel, P. Leif, Fonseca, Rafael, Ketterling, Rhett P., Kumar, Shaji K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803917/
https://www.ncbi.nlm.nih.gov/pubmed/35102148
http://dx.doi.org/10.1038/s41408-022-00611-x
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author Abdallah, Nadine H.
Binder, Moritz
Rajkumar, S. Vincent
Greipp, Patricia T.
Kapoor, Prashant
Dispenzieri, Angela
Gertz, Morie A.
Baughn, Linda B.
Lacy, Martha Q.
Hayman, Suzanne R.
Buadi, Francis K.
Dingli, David
Go, Ronald S.
Hwa, Yi L.
Fonder, Amie L.
Hobbs, Miriam A.
Lin, Yi
Leung, Nelson
Kourelis, Taxiarchis
Warsame, Rahma
Siddiqui, Mustaqeem A.
Kyle, Robert A.
Bergsagel, P. Leif
Fonseca, Rafael
Ketterling, Rhett P.
Kumar, Shaji K.
author_facet Abdallah, Nadine H.
Binder, Moritz
Rajkumar, S. Vincent
Greipp, Patricia T.
Kapoor, Prashant
Dispenzieri, Angela
Gertz, Morie A.
Baughn, Linda B.
Lacy, Martha Q.
Hayman, Suzanne R.
Buadi, Francis K.
Dingli, David
Go, Ronald S.
Hwa, Yi L.
Fonder, Amie L.
Hobbs, Miriam A.
Lin, Yi
Leung, Nelson
Kourelis, Taxiarchis
Warsame, Rahma
Siddiqui, Mustaqeem A.
Kyle, Robert A.
Bergsagel, P. Leif
Fonseca, Rafael
Ketterling, Rhett P.
Kumar, Shaji K.
author_sort Abdallah, Nadine H.
collection PubMed
description Risk stratification in multiple myeloma is important for prognostication, patient selection for clinical trials, and comparison of treatment approaches. We developed and validated a staging system that incorporates additional FISH abnormalities not included in the R-ISS and reflects the additive effects of co-occurring high-risk disease features. We first evaluated the prognostic value of predefined cytogenetic and laboratory abnormalities in 2556 Mayo Clinic patients diagnosed between February 2004 and June 2019. We then used data from 1327 patients to develop a risk stratification model and validated this in 502 patients enrolled in the MMRF CoMMpass study. On multivariate analysis, high-risk IgH translocations [risk ratio (RR): 1.7], 1q gain/amplification (RR: 1.4), chromosome17 abnormalities (RR: 1.6), ISS III (RR: 1.7), and elevated LDH (RR: 1.3) were independently associated with decreased overall survival (OS). Among 1327 evaluable patients, OS was 11.0 (95% CI: 9.2–12.6), 7.0 (95% CI: 6.3–9.2), and 4.5 (95% CI: 3.7–5.2) years in patients with 0 (stage I), 1 (stage II), and ≥2 (stage III) high-risk factors, respectively. In the MMRF cohort, median OS was 7.8 (95% CI: NR-NR), 6.0 (95% CI: 5.7-NR), and 4.3 (95% CI: 2.7-NR) years in the 3 groups, respectively (P < 0.001). This 5-factor, 3-tier system is easy to implement in practice and improves upon the current R-ISS.
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spelling pubmed-88039172022-02-07 A simple additive staging system for newly diagnosed multiple myeloma Abdallah, Nadine H. Binder, Moritz Rajkumar, S. Vincent Greipp, Patricia T. Kapoor, Prashant Dispenzieri, Angela Gertz, Morie A. Baughn, Linda B. Lacy, Martha Q. Hayman, Suzanne R. Buadi, Francis K. Dingli, David Go, Ronald S. Hwa, Yi L. Fonder, Amie L. Hobbs, Miriam A. Lin, Yi Leung, Nelson Kourelis, Taxiarchis Warsame, Rahma Siddiqui, Mustaqeem A. Kyle, Robert A. Bergsagel, P. Leif Fonseca, Rafael Ketterling, Rhett P. Kumar, Shaji K. Blood Cancer J Article Risk stratification in multiple myeloma is important for prognostication, patient selection for clinical trials, and comparison of treatment approaches. We developed and validated a staging system that incorporates additional FISH abnormalities not included in the R-ISS and reflects the additive effects of co-occurring high-risk disease features. We first evaluated the prognostic value of predefined cytogenetic and laboratory abnormalities in 2556 Mayo Clinic patients diagnosed between February 2004 and June 2019. We then used data from 1327 patients to develop a risk stratification model and validated this in 502 patients enrolled in the MMRF CoMMpass study. On multivariate analysis, high-risk IgH translocations [risk ratio (RR): 1.7], 1q gain/amplification (RR: 1.4), chromosome17 abnormalities (RR: 1.6), ISS III (RR: 1.7), and elevated LDH (RR: 1.3) were independently associated with decreased overall survival (OS). Among 1327 evaluable patients, OS was 11.0 (95% CI: 9.2–12.6), 7.0 (95% CI: 6.3–9.2), and 4.5 (95% CI: 3.7–5.2) years in patients with 0 (stage I), 1 (stage II), and ≥2 (stage III) high-risk factors, respectively. In the MMRF cohort, median OS was 7.8 (95% CI: NR-NR), 6.0 (95% CI: 5.7-NR), and 4.3 (95% CI: 2.7-NR) years in the 3 groups, respectively (P < 0.001). This 5-factor, 3-tier system is easy to implement in practice and improves upon the current R-ISS. Nature Publishing Group UK 2022-01-31 /pmc/articles/PMC8803917/ /pubmed/35102148 http://dx.doi.org/10.1038/s41408-022-00611-x 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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Abdallah, Nadine H.
Binder, Moritz
Rajkumar, S. Vincent
Greipp, Patricia T.
Kapoor, Prashant
Dispenzieri, Angela
Gertz, Morie A.
Baughn, Linda B.
Lacy, Martha Q.
Hayman, Suzanne R.
Buadi, Francis K.
Dingli, David
Go, Ronald S.
Hwa, Yi L.
Fonder, Amie L.
Hobbs, Miriam A.
Lin, Yi
Leung, Nelson
Kourelis, Taxiarchis
Warsame, Rahma
Siddiqui, Mustaqeem A.
Kyle, Robert A.
Bergsagel, P. Leif
Fonseca, Rafael
Ketterling, Rhett P.
Kumar, Shaji K.
A simple additive staging system for newly diagnosed multiple myeloma
title A simple additive staging system for newly diagnosed multiple myeloma
title_full A simple additive staging system for newly diagnosed multiple myeloma
title_fullStr A simple additive staging system for newly diagnosed multiple myeloma
title_full_unstemmed A simple additive staging system for newly diagnosed multiple myeloma
title_short A simple additive staging system for newly diagnosed multiple myeloma
title_sort simple additive staging system for newly diagnosed multiple myeloma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803917/
https://www.ncbi.nlm.nih.gov/pubmed/35102148
http://dx.doi.org/10.1038/s41408-022-00611-x
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