Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study
Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective stud...
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| Autor*in: |
Deng, Jingjing [verfasserIn] Qin, Xiaoqi [verfasserIn] Ma, Guangyu [verfasserIn] Shen, Xuliang [verfasserIn] Sun, Jingnan [verfasserIn] Zhao, Yanhong [verfasserIn] Zhang, Zhihua [verfasserIn] Sun, Ying [verfasserIn] Jie, Guitao [verfasserIn] Su, Liping [verfasserIn] Ma, Jie [verfasserIn] Tian, Weiwei [verfasserIn] Yang, Lin [verfasserIn] Wang, Qingming [verfasserIn] Huang, Hongming [verfasserIn] Shi, Mingxia [verfasserIn] Ma, Yanping [verfasserIn] Gao, Wen [verfasserIn] Chen, Wenming [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Annals of hematology - Springer Berlin Heidelberg, 1955, 103(2024), 9 vom: 29. Juli, Seite 3691-3699 |
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| Übergeordnetes Werk: |
volume:103 ; year:2024 ; number:9 ; day:29 ; month:07 ; pages:3691-3699 |
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| DOI / URN: |
10.1007/s00277-024-05862-1 |
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SPR05711725X |
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| 520 | |a Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. | ||
| 650 | 4 | |a Plasma cell leukemia |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nomogram |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Primary plasma cell leukemia |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Prognostic model |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Qin, Xiaoqi |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Guangyu |e verfasserin |4 aut | |
| 700 | 1 | |a Shen, Xuliang |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Jingnan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Yanhong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Zhihua |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Jie, Guitao |e verfasserin |4 aut | |
| 700 | 1 | |a Su, Liping |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Weiwei |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Qingming |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Hongming |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Mingxia |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Yanping |e verfasserin |4 aut | |
| 700 | 1 | |a Gao, Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Wenming |e verfasserin |4 aut | |
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10.1007/s00277-024-05862-1 doi (DE-627)SPR05711725X (SPR)s00277-024-05862-1-e DE-627 ger DE-627 rakwb eng 610 VZ 44.86 bkl Deng, Jingjing verfasserin aut Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 Qin, Xiaoqi verfasserin aut Ma, Guangyu verfasserin aut Shen, Xuliang verfasserin aut Sun, Jingnan verfasserin aut Zhao, Yanhong verfasserin aut Zhang, Zhihua verfasserin aut Sun, Ying verfasserin aut Jie, Guitao verfasserin aut Su, Liping verfasserin aut Ma, Jie verfasserin aut Tian, Weiwei verfasserin aut Yang, Lin verfasserin aut Wang, Qingming verfasserin aut Huang, Hongming verfasserin aut Shi, Mingxia verfasserin aut Ma, Yanping verfasserin aut Gao, Wen verfasserin aut Chen, Wenming verfasserin aut Enthalten in Annals of hematology Springer Berlin Heidelberg, 1955 103(2024), 9 vom: 29. Juli, Seite 3691-3699 (DE-627)253389852 (DE-600)1458429-3 1432-0584 nnns volume:103 year:2024 number:9 day:29 month:07 pages:3691-3699 https://dx.doi.org/10.1007/s00277-024-05862-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.86 VZ AR 103 2024 9 29 07 3691-3699 |
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10.1007/s00277-024-05862-1 doi (DE-627)SPR05711725X (SPR)s00277-024-05862-1-e DE-627 ger DE-627 rakwb eng 610 VZ 44.86 bkl Deng, Jingjing verfasserin aut Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 Qin, Xiaoqi verfasserin aut Ma, Guangyu verfasserin aut Shen, Xuliang verfasserin aut Sun, Jingnan verfasserin aut Zhao, Yanhong verfasserin aut Zhang, Zhihua verfasserin aut Sun, Ying verfasserin aut Jie, Guitao verfasserin aut Su, Liping verfasserin aut Ma, Jie verfasserin aut Tian, Weiwei verfasserin aut Yang, Lin verfasserin aut Wang, Qingming verfasserin aut Huang, Hongming verfasserin aut Shi, Mingxia verfasserin aut Ma, Yanping verfasserin aut Gao, Wen verfasserin aut Chen, Wenming verfasserin aut Enthalten in Annals of hematology Springer Berlin Heidelberg, 1955 103(2024), 9 vom: 29. Juli, Seite 3691-3699 (DE-627)253389852 (DE-600)1458429-3 1432-0584 nnns volume:103 year:2024 number:9 day:29 month:07 pages:3691-3699 https://dx.doi.org/10.1007/s00277-024-05862-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.86 VZ AR 103 2024 9 29 07 3691-3699 |
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10.1007/s00277-024-05862-1 doi (DE-627)SPR05711725X (SPR)s00277-024-05862-1-e DE-627 ger DE-627 rakwb eng 610 VZ 44.86 bkl Deng, Jingjing verfasserin aut Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 Qin, Xiaoqi verfasserin aut Ma, Guangyu verfasserin aut Shen, Xuliang verfasserin aut Sun, Jingnan verfasserin aut Zhao, Yanhong verfasserin aut Zhang, Zhihua verfasserin aut Sun, Ying verfasserin aut Jie, Guitao verfasserin aut Su, Liping verfasserin aut Ma, Jie verfasserin aut Tian, Weiwei verfasserin aut Yang, Lin verfasserin aut Wang, Qingming verfasserin aut Huang, Hongming verfasserin aut Shi, Mingxia verfasserin aut Ma, Yanping verfasserin aut Gao, Wen verfasserin aut Chen, Wenming verfasserin aut Enthalten in Annals of hematology Springer Berlin Heidelberg, 1955 103(2024), 9 vom: 29. Juli, Seite 3691-3699 (DE-627)253389852 (DE-600)1458429-3 1432-0584 nnns volume:103 year:2024 number:9 day:29 month:07 pages:3691-3699 https://dx.doi.org/10.1007/s00277-024-05862-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.86 VZ AR 103 2024 9 29 07 3691-3699 |
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10.1007/s00277-024-05862-1 doi (DE-627)SPR05711725X (SPR)s00277-024-05862-1-e DE-627 ger DE-627 rakwb eng 610 VZ 44.86 bkl Deng, Jingjing verfasserin aut Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 Qin, Xiaoqi verfasserin aut Ma, Guangyu verfasserin aut Shen, Xuliang verfasserin aut Sun, Jingnan verfasserin aut Zhao, Yanhong verfasserin aut Zhang, Zhihua verfasserin aut Sun, Ying verfasserin aut Jie, Guitao verfasserin aut Su, Liping verfasserin aut Ma, Jie verfasserin aut Tian, Weiwei verfasserin aut Yang, Lin verfasserin aut Wang, Qingming verfasserin aut Huang, Hongming verfasserin aut Shi, Mingxia verfasserin aut Ma, Yanping verfasserin aut Gao, Wen verfasserin aut Chen, Wenming verfasserin aut Enthalten in Annals of hematology Springer Berlin Heidelberg, 1955 103(2024), 9 vom: 29. Juli, Seite 3691-3699 (DE-627)253389852 (DE-600)1458429-3 1432-0584 nnns volume:103 year:2024 number:9 day:29 month:07 pages:3691-3699 https://dx.doi.org/10.1007/s00277-024-05862-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.86 VZ AR 103 2024 9 29 07 3691-3699 |
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10.1007/s00277-024-05862-1 doi (DE-627)SPR05711725X (SPR)s00277-024-05862-1-e DE-627 ger DE-627 rakwb eng 610 VZ 44.86 bkl Deng, Jingjing verfasserin aut Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 Qin, Xiaoqi verfasserin aut Ma, Guangyu verfasserin aut Shen, Xuliang verfasserin aut Sun, Jingnan verfasserin aut Zhao, Yanhong verfasserin aut Zhang, Zhihua verfasserin aut Sun, Ying verfasserin aut Jie, Guitao verfasserin aut Su, Liping verfasserin aut Ma, Jie verfasserin aut Tian, Weiwei verfasserin aut Yang, Lin verfasserin aut Wang, Qingming verfasserin aut Huang, Hongming verfasserin aut Shi, Mingxia verfasserin aut Ma, Yanping verfasserin aut Gao, Wen verfasserin aut Chen, Wenming verfasserin aut Enthalten in Annals of hematology Springer Berlin Heidelberg, 1955 103(2024), 9 vom: 29. Juli, Seite 3691-3699 (DE-627)253389852 (DE-600)1458429-3 1432-0584 nnns volume:103 year:2024 number:9 day:29 month:07 pages:3691-3699 https://dx.doi.org/10.1007/s00277-024-05862-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.86 VZ AR 103 2024 9 29 07 3691-3699 |
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Deng, Jingjing |
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Deng, Jingjing ddc 610 bkl 44.86 misc Plasma cell leukemia misc Nomogram misc Primary plasma cell leukemia misc Prognostic model Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
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610 VZ 44.86 bkl Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study Plasma cell leukemia (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Primary plasma cell leukemia (dpeaa)DE-He213 Prognostic model (dpeaa)DE-He213 |
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Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
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Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
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Deng, Jingjing Qin, Xiaoqi Ma, Guangyu Shen, Xuliang Sun, Jingnan Zhao, Yanhong Zhang, Zhihua Sun, Ying Jie, Guitao Su, Liping Ma, Jie Tian, Weiwei Yang, Lin Wang, Qingming Huang, Hongming Shi, Mingxia Ma, Yanping Gao, Wen Chen, Wenming |
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development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
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Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
| abstract |
Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract The prognosis of primary plasma cell leukemia (pPCL) is poor, and the relevant prognostic factors are incompletely understood. We aimed to explore the prognostic factors and develop a validated prognostic prediction model for pPCL patients in the new era. This multicenter retrospective study was conducted across 16 hospitals in China. Cox proportional hazards regression analysis was used to develop a prediction model. The predictive performance of the model was assessed using multiple metrics. Internal validation was conducted using bootstrap resampling. A total of 102 pPCL patients were included in this study, and 57 (55.9%) were male. The 12-month, 24-month, and 36-month OS rates for pPCL patients were 75.4%, 58.3%, and 47.6%, respectively. An overall survival prognostic nomogram for pPCL patients was established by integrating independent prognostic factors, including age, B2MG, and del17p. The nomogram exhibited good performance, with a C-index of 0.720 (95% CI 0.642–0.797) and an AUC of 0.653. Bootstrap validation yielded a C-index of 0.721 (95% CI 0.629–0.787) and an AUC of 0.653 (95% CI 0.546–0.759), indicating a relatively good fit of the calibration curve. A nomogram incorporating age, B2MG grade, and del17p were developed and validated to accurately and consistently predict the prognosis of pPCL patients. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Development of a clinical prognostic model for primary plasma cell leukemia patients treated with novel agents: a multicenter retrospective cohort study |
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Qin, Xiaoqi Ma, Guangyu Shen, Xuliang Sun, Jingnan Zhao, Yanhong Zhang, Zhihua Sun, Ying Jie, Guitao Su, Liping Ma, Jie Tian, Weiwei Yang, Lin Wang, Qingming Huang, Hongming Shi, Mingxia Ma, Yanping Gao, Wen Chen, Wenming |
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Qin, Xiaoqi Ma, Guangyu Shen, Xuliang Sun, Jingnan Zhao, Yanhong Zhang, Zhihua Sun, Ying Jie, Guitao Su, Liping Ma, Jie Tian, Weiwei Yang, Lin Wang, Qingming Huang, Hongming Shi, Mingxia Ma, Yanping Gao, Wen Chen, Wenming |
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10.1007/s00277-024-05862-1 |
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2024-08-29T04:49:52.463Z |
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| score |
7.4002676 |