Mengru Tian, Gang An, Weijun Fu, Wenqiang Yan, Lu Li, Chunyan Sun, Zhenyu Li, Lijuan Chen, Aijun Liao, Guangxun Gao, Xiaoqi Qin, Mengyao Li, Chunrui Li, Hua Xue, Li Gao, Yi Wang, Aili He, Fan Zhou, Dongmei Guo, Yujun Dong, Zhihong Fang, Xiaoxia Chu, Jianqing Mi, Chengcheng Fu, Hui Zeng, Shuling Hou, Xiaotao Wang, Hua Wang, Yongqiang Wei, Xinyue Liang, Xingcheng Yi, Yue Sun, Lugui Qiu, Yun Dai, Fengyan Jin
{"title":"Development and validation of a prognostic staging system for primary plasma cell leukemia","authors":"Mengru Tian, Gang An, Weijun Fu, Wenqiang Yan, Lu Li, Chunyan Sun, Zhenyu Li, Lijuan Chen, Aijun Liao, Guangxun Gao, Xiaoqi Qin, Mengyao Li, Chunrui Li, Hua Xue, Li Gao, Yi Wang, Aili He, Fan Zhou, Dongmei Guo, Yujun Dong, Zhihong Fang, Xiaoxia Chu, Jianqing Mi, Chengcheng Fu, Hui Zeng, Shuling Hou, Xiaotao Wang, Hua Wang, Yongqiang Wei, Xinyue Liang, Xingcheng Yi, Yue Sun, Lugui Qiu, Yun Dai, Fengyan Jin","doi":"10.1186/s13045-025-01723-0","DOIUrl":null,"url":null,"abstract":"The existing risk models for multiple myeloma (MM) are suboptimal for the stratification of patients with primary plasma cell leukemia (pPCL), a rare and peculiar MM. In this study, we aimed to develop a staging system for pPCL defined as the presence of ≥ 5% circulating plasma cells (CPC) according to the new diagnostic criteria, utilizing one of the largest series of patients with pPCL. This multicenter retrospective study included 340 patients with pPCL (the training cohort) from 25 centers nationwide in China. The prognostic impact of baseline characteristics and cytogenetic abnormalities was evaluated. Univariate and multivariate analyses were conducted to identify variables predicting overall survival (OS) to develop a staging system. Its performance was then validated in an independent cohort (n = 80). Genome-wide DNA and RNA sequencing were performed to explore the molecular basis for inter-stage clinical heterogeneity. Del(17p), t(4;14), and t(14;16), but not 1q+, were verified as high-risk cytogenetic abnormalities (HRCAs) of pPCL. HRCA, elevated LDH, and thrombocytopenia had the highest impact on OS and were used to create a simple algorithm, stratifying patients with pPCL into stages I, II, and III, with median OS of 54.1, 24.0, and 5.4 months (II vs. I: HR, 1.986; 95% CI, 1.034–3.814; P = 0.0394; III vs. II: HR, 3.206; 95% CI, 1.757–5.852; P = 0.0001) in the training cohort and 62.1, 31.6, and 21.8 months (II vs. I: HR, 2.013; 95% CI, 0.954–4.251; P = 0.0664; III vs. II: HR, 2.694; 95% CI, 1.136–6.392; P = 0.0245) in the independent validation cohort. The accuracy (c-index 0.711) was higher than other models. Moreover, patients with different stages had highly diverse genomic and transcriptomic aberrations. We propose a pPCL-specific staging system based on LDH, thrombocytopenia, and cytogenetic abnormalities, which warrants further validation, particularly in a prospective setting.","PeriodicalId":16023,"journal":{"name":"Journal of Hematology & Oncology","volume":"9 1","pages":""},"PeriodicalIF":29.5000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hematology & Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13045-025-01723-0","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The existing risk models for multiple myeloma (MM) are suboptimal for the stratification of patients with primary plasma cell leukemia (pPCL), a rare and peculiar MM. In this study, we aimed to develop a staging system for pPCL defined as the presence of ≥ 5% circulating plasma cells (CPC) according to the new diagnostic criteria, utilizing one of the largest series of patients with pPCL. This multicenter retrospective study included 340 patients with pPCL (the training cohort) from 25 centers nationwide in China. The prognostic impact of baseline characteristics and cytogenetic abnormalities was evaluated. Univariate and multivariate analyses were conducted to identify variables predicting overall survival (OS) to develop a staging system. Its performance was then validated in an independent cohort (n = 80). Genome-wide DNA and RNA sequencing were performed to explore the molecular basis for inter-stage clinical heterogeneity. Del(17p), t(4;14), and t(14;16), but not 1q+, were verified as high-risk cytogenetic abnormalities (HRCAs) of pPCL. HRCA, elevated LDH, and thrombocytopenia had the highest impact on OS and were used to create a simple algorithm, stratifying patients with pPCL into stages I, II, and III, with median OS of 54.1, 24.0, and 5.4 months (II vs. I: HR, 1.986; 95% CI, 1.034–3.814; P = 0.0394; III vs. II: HR, 3.206; 95% CI, 1.757–5.852; P = 0.0001) in the training cohort and 62.1, 31.6, and 21.8 months (II vs. I: HR, 2.013; 95% CI, 0.954–4.251; P = 0.0664; III vs. II: HR, 2.694; 95% CI, 1.136–6.392; P = 0.0245) in the independent validation cohort. The accuracy (c-index 0.711) was higher than other models. Moreover, patients with different stages had highly diverse genomic and transcriptomic aberrations. We propose a pPCL-specific staging system based on LDH, thrombocytopenia, and cytogenetic abnormalities, which warrants further validation, particularly in a prospective setting.
期刊介绍:
The Journal of Hematology & Oncology, an open-access journal, publishes high-quality research covering all aspects of hematology and oncology, including reviews and research highlights on "hot topics" by leading experts.
Given the close relationship and rapid evolution of hematology and oncology, the journal aims to meet the demand for a dedicated platform for publishing discoveries from both fields. It serves as an international platform for sharing laboratory and clinical findings among laboratory scientists, physician scientists, hematologists, and oncologists in an open-access format. With a rapid turnaround time from submission to publication, the journal facilitates real-time sharing of knowledge and new successes.