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Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era

BACKGROUND: The present study intended to establish a predictive nomogram for early relapse (ER) (<12 months) after autologous stem cell transplantation (ASCT) in the novel drug era for multiple myeloma (MM). PATIENTS AND METHODS: The nomogram was designed and constructed to a retrospective clini...

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Autores principales: Zhou, Huixing, Jian, Yuan, Du, Juan, Liu, Junru, Zhang, Zhiyao, Yang, Guangzhong, Wang, Guorong, Tian, Ying, Li, Yanchen, Wu, Yin, Chen, Wenming, Fu, Weijun, Li, Juan, Gao, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166899/
https://www.ncbi.nlm.nih.gov/pubmed/37021846
http://dx.doi.org/10.1002/cam4.5630
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author Zhou, Huixing
Jian, Yuan
Du, Juan
Liu, Junru
Zhang, Zhiyao
Yang, Guangzhong
Wang, Guorong
Tian, Ying
Li, Yanchen
Wu, Yin
Chen, Wenming
Fu, Weijun
Li, Juan
Gao, Wen
author_facet Zhou, Huixing
Jian, Yuan
Du, Juan
Liu, Junru
Zhang, Zhiyao
Yang, Guangzhong
Wang, Guorong
Tian, Ying
Li, Yanchen
Wu, Yin
Chen, Wenming
Fu, Weijun
Li, Juan
Gao, Wen
author_sort Zhou, Huixing
collection PubMed
description BACKGROUND: The present study intended to establish a predictive nomogram for early relapse (ER) (<12 months) after autologous stem cell transplantation (ASCT) in the novel drug era for multiple myeloma (MM). PATIENTS AND METHODS: The nomogram was designed and constructed to a retrospective clinical data of newly diagnosed MM patients received novel agent induction therapy and subsequent ASCT at three centers in China from July 2007 to December 2018. The retrospective study was conducted among 294 patients in the training cohort and 126 in the validation cohort. The nomogram's predictive accuracy was evaluated by the concordance index, calibration curve and decision clinical curve. RESULTS: The study cohort included 420 newly diagnosed MM patients, and 100 (23.8%) were identified as having ER, including 74 in the training cohort and 26 in the validation cohort. According to the result of multivariate regression in the training cohort, the prognostic variables included in the nomogram were high‐risk cytogenetics, LDH > UNL, and response less than very good partial response (VGPR) after ASCT. The calibration curve showed good fitness between the nomogram predictions and the actual observations and the nomogram was further validated by a clinical decision curve. The nomogram's C‐index achieved 0.75 (95% CI, 0.70–0.80), which was higher than that of the Revised International Staging System (R‐ISS) (0.62), ISS (0.59), and Durie–Salmon (DS) staging system (0.52). The discrimination ability of the nomogram in the validation cohort was superior to that of the other staging systems (C‐index: 0.73 vs. R‐ISS (0.54), ISS (0.55), and DS staging system (0.53)). DCA showed the prediction nomogram adds much more clinical utility. Different scores of the nomogram draw a distinction of OS. CONCLUSION: The present nomogram could serve as a feasible and accurate prediction of ER in novel drug induction transplantation‐eligible MM patients, which could help modify the post‐ASCT strategy for patients at high risk of ER.
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spelling pubmed-101668992023-05-10 Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era Zhou, Huixing Jian, Yuan Du, Juan Liu, Junru Zhang, Zhiyao Yang, Guangzhong Wang, Guorong Tian, Ying Li, Yanchen Wu, Yin Chen, Wenming Fu, Weijun Li, Juan Gao, Wen Cancer Med RESEARCH ARTICLES BACKGROUND: The present study intended to establish a predictive nomogram for early relapse (ER) (<12 months) after autologous stem cell transplantation (ASCT) in the novel drug era for multiple myeloma (MM). PATIENTS AND METHODS: The nomogram was designed and constructed to a retrospective clinical data of newly diagnosed MM patients received novel agent induction therapy and subsequent ASCT at three centers in China from July 2007 to December 2018. The retrospective study was conducted among 294 patients in the training cohort and 126 in the validation cohort. The nomogram's predictive accuracy was evaluated by the concordance index, calibration curve and decision clinical curve. RESULTS: The study cohort included 420 newly diagnosed MM patients, and 100 (23.8%) were identified as having ER, including 74 in the training cohort and 26 in the validation cohort. According to the result of multivariate regression in the training cohort, the prognostic variables included in the nomogram were high‐risk cytogenetics, LDH > UNL, and response less than very good partial response (VGPR) after ASCT. The calibration curve showed good fitness between the nomogram predictions and the actual observations and the nomogram was further validated by a clinical decision curve. The nomogram's C‐index achieved 0.75 (95% CI, 0.70–0.80), which was higher than that of the Revised International Staging System (R‐ISS) (0.62), ISS (0.59), and Durie–Salmon (DS) staging system (0.52). The discrimination ability of the nomogram in the validation cohort was superior to that of the other staging systems (C‐index: 0.73 vs. R‐ISS (0.54), ISS (0.55), and DS staging system (0.53)). DCA showed the prediction nomogram adds much more clinical utility. Different scores of the nomogram draw a distinction of OS. CONCLUSION: The present nomogram could serve as a feasible and accurate prediction of ER in novel drug induction transplantation‐eligible MM patients, which could help modify the post‐ASCT strategy for patients at high risk of ER. John Wiley and Sons Inc. 2023-04-06 /pmc/articles/PMC10166899/ /pubmed/37021846 http://dx.doi.org/10.1002/cam4.5630 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Zhou, Huixing
Jian, Yuan
Du, Juan
Liu, Junru
Zhang, Zhiyao
Yang, Guangzhong
Wang, Guorong
Tian, Ying
Li, Yanchen
Wu, Yin
Chen, Wenming
Fu, Weijun
Li, Juan
Gao, Wen
Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title_full Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title_fullStr Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title_full_unstemmed Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title_short Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
title_sort prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166899/
https://www.ncbi.nlm.nih.gov/pubmed/37021846
http://dx.doi.org/10.1002/cam4.5630
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