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Huang L, Lin B, Mu Y, Li Y, Chen M, Zhou Y, Zhu G, Jiang E, Xia Y. Sysmex XN-HPC: study of reference intervals and clinical decision limits in healthy allogeneic donors mobilised with G-CSF. Clin Exp Med 2024; 24:197. [PMID: 39180670 PMCID: PMC11344708 DOI: 10.1007/s10238-024-01467-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 08/18/2024] [Indexed: 08/26/2024]
Abstract
The Sysmex XN series haematopoietic progenitor cell (XN-HPC) is a novel tool for assessing stem cell yield before allogeneic haematopoietic stem cell transplantation. This study aimed to establish a reference interval (RI) for XN-HPC in peripheral blood allogeneic transplant donors following granulocyte colony-stimulating factor (G-CSF) stimulation and determine its clinical significance. All specimens were analysed using Sysmex XN-20. Samples were collected and analysed using non-parametric percentile methods to define the RIs. Quantile regression was used to explore the dependency of the RIs on sex and age. Samples were included in clinical decision limits for apheresis based on receiver operating characteristic curve analysis. The non-parametrically estimated RI for XN-HPC was 623.50 (90% confidence interval [CI90%] 510.00-657.00) to 4,144.28 (CI90% 3,761.00-4,547.00). The RIs for the XN-HPC were not age-dependent but were sex-dependent. The RI for males was 648.40 (CI90% 582.00-709.00)-4,502.60 (CI90% 4,046.00-5,219.00) and for females was 490.90 (CI90% 311.00-652.00)-3,096.90 (CI90% 2,749.00-3,782.00). Comparisons based on XN-HPC values between the poor and less-than-optimal groups, good and less-than-optimal groups, and good and non-good groups had areas under the curve of 0.794 (P < 0.001), 0.768 (P < 0.001), and 0.806 (P < 0.001), respectively, indicating a good predictive value for mobilisation effectiveness. XN-HPC data exceeding 3974 × 106/L suggested that a sufficient number of stem cells could be collected clinically. Values > 5318 < 106/L indicated 100% mobilisation effectiveness. We established an RI for XN-HPC in peripheral blood allogeneic transplant donors following G-CSF stimulation and determined clinical decision thresholds for mobilisation efficiency.
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Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking, Union Medical College, Beijing, China
| | - Yueyi Mu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yong Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Miao Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yunxia Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
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Huang L, Liu L, Song Z, Li Q, He D, Guo G, Zhu G, Jiang E, Xia Y. Hematopoietic progenitor cell count as a potential quantitative marker in apheresis products during allogeneic stem cell transplantation. Transfusion 2024; 64:348-356. [PMID: 38158888 DOI: 10.1111/trf.17699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/07/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The quality and quantity of hematopoietic stem cells in apheresis products are essential to the success of peripheral blood hematopoietic stem cell transplantation (PB-HSCT). While the flow cytometry measurement of CD34+ cells as a golden standard for stem cell count is labor and cost-intensive, hematopoietic progenitor cell number evaluated by XN Sysmex series automated hematology analyzers (XN-HPC) is suggested as a surrogate marker. MATERIALS AND METHODS We evaluated the correlation and consistency of XN-HPC and CD34+ cell count in apheresis samples from both allogeneic donors and autologous patients during PB-HSCT. RESULTS Good correlation and consistency were observed between XN-HPC and CD34+ cell counts in harvests collected from healthy donors (R = .852) rather than autologous patients (R = .375). Subgroup analysis showed that the correlation was especially poor when autologous patients used plerixafor as an additional mobilizer or were diagnosed with multiple myeloma (MM). In the setting of allogeneic transplantation, the correlation coefficients were even better in samples from non-first-round apheresis (R = .951), with high white blood cell (WBC) counts (R = .941), or having successful engraftment within 2 weeks (R = .895). ROC analysis suggested that an optimal XN-HPC count of 1127 × 106 /L best predicted a sufficient yield of CD34+ stem cells, with diagnostic sensitivity and specificity being 92% and 72%, respectively (AUC = 0.852). CONCLUSIONS XN-HPC is a sufficient quantitative marker for stem cell assessment of harvest yield in allogeneic but not autologous HSCT.
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Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Liangyi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Zhen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiang Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - DaShui He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - GuiQing Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Imoto N, Kondo Y, Uchida K, Kurahashi S. Hematopoietic Progenitor Cell Counts of the Leukapheresis Product Determined Using Sysmex XN Analyzers Predict a Sufficient Number of CD34 + Stem Cells in a Peripheral Blood Stem Cell Harvest for Autologous Transplantation. Intern Med 2024; 63:189-195. [PMID: 37225486 PMCID: PMC10864077 DOI: 10.2169/internalmedicine.1697-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/06/2023] [Indexed: 05/26/2023] Open
Abstract
Objective Several institutions outsource CD34+ cell counting of leukapheresis products, limiting rapid measurements, as results are obtained the next day. This problem is compounded with plerixafor use, a stem cell-mobilizing drug that increases leukapheresis efficiency but requires administration the day before leukapheresis. Use of this drug for a second leukapheresis procedure before the first-day leukapheresis CD34+ count results are confirmed causes unnecessary leukapheresis and expensive plerixafor administration. We investigated whether or not measuring hematopoietic progenitor cells in leukapheresis products (AP-HPCs) using a Sysmex XN-series analyzer could resolve this problem. Methods We retrospectively compared the absolute AP-HPC value per body weight with the CD34+ (AP-CD34+) count in 96 first-day leukapheresis product samples obtained between September 2013 and January 2021. Comparisons were also conducted according to regimen: granulocyte colony-stimulating factor (G-CSF) monotherapy, chemotherapy plus G-CSF, or plerixafor mobilization. Results AP-CD34+ and AP-HPC counts correlated strongly (rs=0.846) overall and, in particular, under chemotherapy plus G-CSF (rs=0.92) but correlated mildly under G-CSF monotherapy (rs=0.655). AP-HPCs could not completely be dichotomized based on an AP-CD34+ threshold of 2×106/kg for any stimulation procedure. In most cases with AP-HPCs >6×106/kg, the AP-CD34+ count exceeded 2.0×106/kg, but in 5.7% of these cases, the AP-CD34+ count was <2.0×106/kg. A cut-off of AP-HPCs >4.843×106/kg yielded a sensitivity of 71% and specificity of 96% for predicting AP-CD34+≥2×106/kg. Conclusion AP-HPCs can identify cases in which sufficient stem cells have been collected.
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Affiliation(s)
- Naoto Imoto
- Division of Hematology and Oncology, Toyohashi Municipal Hospital, Japan
| | - Yuka Kondo
- Division of Clinical Laboratory, Toyohashi Municipal Hospital, Japan
| | - Kazuho Uchida
- Division of Clinical Laboratory, Toyohashi Municipal Hospital, Japan
| | - Shingo Kurahashi
- Division of Hematology and Oncology, Toyohashi Municipal Hospital, Japan
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Huang L, Zhu G, Mu Y, Xia Y. The Sysmex XN series hematopoietic progenitor cell (XN-HPC) as a predictive marker of stem cell enumeration and products: a systemic review and meta-analysis. Hematology 2022; 27:1230-1236. [DOI: 10.1080/16078454.2022.2143747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Yueyi Mu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
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Al Mamari S, Al Saadi A, Al Zaabi R, Al Jamalani A, Al Qassabi J, Pathare A, Al-Khabori M. Measurement of hematopoietic progenitor cells using XN2000 hematology analyzer. Int J Lab Hematol 2021; 44:82-87. [PMID: 34409726 DOI: 10.1111/ijlh.13683] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 07/21/2021] [Accepted: 08/04/2021] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Stem cell enumeration by the hematopoietic progenitor cells (HPC) mode is a novel method available from Sysmex XN2000 hematology analyzer. A small amount of blood (190 μL) is required, and the results are available in a few minutes without manual gating or presample treatment. The present study compares stem cell measurements using XN2000 analyzer HPC mode and FC500 flow cytometry analyzer using peripheral blood (PB) specimens and apheresis products. METHODS In this prospective study, CD34-positive cell counts were enumerated using an FC500 flow cytometry analyzer and compared with XN2000 Sysmex analyzer (XN-HPC mode) in the same samples. Results were compared using Bland-Altman plots. RESULTS A total of 103 samples were used. In the PB samples, the median HPC count and CD34-positive cells were 83.5 × 106 /L and 78.0 × 106 /L, respectively. The mean Bland-Altman difference was 4.5 × 106 /L (Limits: -51.7 to 60.7 × 106 /L), with a Pearson's correlation of 0.79. In the apheresis products, the median HPC count and CD34-positive cells were 1468 × 106 /L (IQR: 1049 - 1960 × 106 /L) and 1327 × 106 /L (IQR: 910 - 2001 × 106 /L), respectively. The mean Bland-Altman difference was 179.0 × 106 /L (Limits: -2022.2 - 2380.2 × 106 /L), with a Pearson's correlation of 0.58. CONCLUSION The XN-HPC mode has an excellent correlation and minimal disagreement for stem cell enumeration in PB compared with flow cytometry and could replace it. There is high disagreement in apheresis products, and therefore, the XN-HPC mode cannot be recommended.
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Kim SM, Kim HY, Kim SJ, Jang JH, Kim K, Kim WS, Jung CW, Cho D, Kang ES. Correlation between peripheral blood automated hematopoietic progenitor cell counts and flow cytometric CD34 + cell counts differs according to diagnosis in patients undergoing autologous peripheral blood stem cell transplantation. J Clin Apher 2021; 36:737-749. [PMID: 34283414 DOI: 10.1002/jca.21924] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 05/21/2021] [Accepted: 06/26/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND An automated hematopoietic progenitor cell count measurement in Sysmex XN analyzer (XN-HPC) has been developed to assist flow cytometry CD34+ cell count measurement, which requires technical expertise and a long turnaround time. Here, we evaluated the correlation between XN-HPC count and flow cytometric CD34+ cell count in pre-harvest peripheral blood (PB) samples from patients undergoing autologous peripheral blood stem cell (PBSC) transplantation according to diagnosis and investigated the possible cause of the decreased correlation in plasma cell neoplasm patients. MATERIALS AND METHODS We retrospectively included 399 patient data that had matched PB XN-HPC count and CD34+ cell count of PB and apheresis product from Samsung Medical Center (SMC) and the Hematopoietic Stem Cell (HSC) registry. We assessed the diagnostic accuracy and the potential cutoff values of XN-HPC count for predicting adequate PBSC collection. RESULTS The PB XN-HPC count was 1.6 and 1.3-fold higher than the CD34+ cell count in SMC (25.0 vs 15.9/μl) and the HSC registry (20.0 vs 15.2/μl), respectively. Overall the correlation between the PB XN-HPC and CD34+ cell count was moderate (SMC, r = 0.71; HSC registry, r = 0.66). A significant proportional and systemic bias with overestimation of XN-HPC count were noted in the plasma cell neoplasm patients in both SMC and the HSC registry. However, no significant difference in correlation was observed according to myeloma-related laboratory parameters in plasma cell neoplasm patients. CONCLUSION Our results suggest that XN-HPC count should be interpreted cautiously in cancer patients undergoing autologous PBSC transplantation, especially in those with plasma cell neoplasm.
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Affiliation(s)
- Sang-Mi Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyun-Young Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seok Jin Kim
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Jun Ho Jang
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kihyun Kim
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Won Seog Kim
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Chul Won Jung
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Duck Cho
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, South Korea
| | - Eun-Suk Kang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, South Korea
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Kasane M, Kurosawa S, Kojima M, Iwashita N, Kase Y, Tsubokura M, Nakabayashi S, Ikeda C, Kawamura K, Matsushita H, Narita R, Fukumoto H, Fujino T, Makita S, Fukuhara S, Munakata W, Suzuki T, Maruyama D, Ito A, Tanaka T, Inamoto Y, Kim SW, Tajima K, Tanosaki R, Izutsu K, Fukuda T. Usefulness of hematopoietic progenitor cell monitoring to predict autologous peripheral blood stem cell harvest timing: A single-center retrospective study. Transfus Apher Sci 2021; 60:103150. [PMID: 33941489 DOI: 10.1016/j.transci.2021.103150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 04/14/2021] [Accepted: 04/21/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION In autologous peripheral blood stem cell harvest (APBSCH), CD34-positive cells have been measured to assess the numbers of hematopoietic stem cells, but measurement requires specialized equipment. Recently, there was a report that peripheral blood hematopoietic progenitor cells (HPCs) are useful indicators of the presence of hematopoietic stem cells. We examined the usefulness of HPC monitoring to predict APBSCH timing. METHODS We retrospectively analyzed the relationship between HPC and collected CD34-positive cells in 84 consecutive patients who underwent APBSCH. RESULTS According to the receiver operating characteristics curve for the collection of ≥2 × 106 CD34-positive cells/kg, the HPC cut-off value on the day before collection was 21/μL, while that on the day of collection was 41/μL. No significant factors were found in the univariate analysis except for the HPC count on the day before collection (p < 0.001) and the day of collection (p < 0.001). According to the multivariate analysis, the HPC count on the day before collection (p < 0.001) and the day of collection (p < 0.001) were also factors that strongly influenced the quantity of CD34-positive cells collected. CONCLUSION Our results suggest that the HPC count on not only the day of collection but also the day before collection is a good indicator for appropriate APBSCH timing.
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Affiliation(s)
- Moemi Kasane
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Saiko Kurosawa
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Minoru Kojima
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan.
| | - Nao Iwashita
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Yuki Kase
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Misato Tsubokura
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Saori Nakabayashi
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Chiaki Ikeda
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | - Kimihiko Kawamura
- Department of Clinical Laboratories, National Cancer Center Hospital, Japan
| | | | - Ryuichi Narita
- Clinical Engineering Section, National Cancer Center Hospital, Japan
| | - Hidetomo Fukumoto
- Clinical Engineering Section, National Cancer Center Hospital, Japan
| | - Takahiro Fujino
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Shinichi Makita
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Suguru Fukuhara
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Wataru Munakata
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Tatsuya Suzuki
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Dai Maruyama
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Ayumu Ito
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Takashi Tanaka
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Yoshihiro Inamoto
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Sung-Won Kim
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Kinuko Tajima
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
| | - Ryuji Tanosaki
- Department of Blood Transfusion and Cellular Therapy, National Cancer Center Hospital, Japan
| | - Koji Izutsu
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Takahiro Fukuda
- Department of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Japan
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Mishra S, Kulkarni U, Mathews N, V R, Ch Nair S, George B, Mammen JJ. A study to compare Hematopoietic Progenitor Cell count determined on a next-generation automated cell counter with flow cytometric CD34 count in peripheral blood and the harvested peripheral blood stem cell graft from autologous and allogenic donors. Int J Lab Hematol 2020; 43:76-83. [PMID: 32926561 DOI: 10.1111/ijlh.13341] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/17/2020] [Accepted: 08/23/2020] [Indexed: 11/29/2022]
Abstract
INTRODUCTION A successful bone marrow transplant requires a minimum of 2-4 × 106 cells/kg patient body weight of CD 34+ cells to be transfused, where peripheral blood CD34+ cell count being and ideal predictor. We compared the correlation and predictive capacity of both hematopoietic progenitor cell count (HPC) determined on the Sysmex XN-9000 and flow cytometric CD34 in autologous and allogenic donors. METHODS Autologous and allogenic donors were taken as per criteria. TLC (Total Leukocyte Count), MNC (Mononuclear cell count), HPC, and CD34 assay were done in both the peripheral blood prior to apheresis, and the harvest product postapheresis. Sysmex XN-9000 was used for TLC, MNC, and HPC tests, and a modified ISH-AGE protocol was used to enumerate CD34 by flow cytometry. Statistical analysis was done using SPSS 16.0. RESULTS Sixty-seven allogenic and 35 autologous donors were enrolled. 45% were females, and 55% were males. Correlation between HPC and CD34 was found to be 0.887 with P value < .01 in peripheral blood and 0.847 with P value < .01 in the harvested product. On the other hand, TLC had a correlation of 0.424 and 0.520 in peripheral blood and harvested, respectively. MNC had a weak association. The cutoff value for a target dose of 2 × 106 CD34 cells/kg was 37 × 106 /L for pre-HPC. For a target of 4 × 106 CD34 cells/kg, the cutoff value calculated to be 54 × 106 /L (Sensitivity: 85%, Specificity: 89%) for peripheral blood HPC. CONCLUSION We conclude that HPC is comparable to CD34 in predicting harvest product's adequacy.
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Affiliation(s)
- Shruti Mishra
- Department of Transfusion Medicine and Immuno-haematology, Vellore, India
| | - Uday Kulkarni
- Department of Haematology, Christian Medical College and Hospital, Vellore, India
| | - Nitty Mathews
- Department of Transfusion Medicine and Immuno-haematology, Vellore, India
| | - Ramya V
- Department of Transfusion Medicine and Immuno-haematology, Vellore, India
| | - Sukesh Ch Nair
- Department of Transfusion Medicine and Immuno-haematology, Vellore, India
| | - Biju George
- Department of Haematology, Christian Medical College and Hospital, Vellore, India
| | - Joy J Mammen
- Department of Transfusion Medicine and Immuno-haematology, Vellore, India
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9
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Söderström A, Møller BK, Sørensen BS. Evaluation of the Sysmex XN automated hematopoietic progenitor cell enumeration for timing of peripheral blood stem cell harvest. Transfus Apher Sci 2020; 59:102683. [DOI: 10.1016/j.transci.2019.102683] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 10/17/2019] [Accepted: 11/05/2019] [Indexed: 10/25/2022]
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10
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Furundarena JR, Uranga A, Alkorta A, González C, Javier Ferreiro J, Rey M, Aragón L, Urreta I, Emparanza JI, Redín H, Garrido A, Araiz M. Evaluation of the predictive value of the hematopoietic progenitor cell count using an automated hematology analyzer for CD34+ stem cell mobilization and apheresis product yield. Int J Lab Hematol 2019; 42:170-179. [DOI: 10.1111/ijlh.13142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 10/16/2019] [Accepted: 11/21/2019] [Indexed: 11/30/2022]
Affiliation(s)
| | - Alasne Uranga
- Hematology Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - Aitziber Alkorta
- Hematopoietic Stem Cell Transplantation Unit Hematology Department Donostia University Hospital (DUH) Donostia Spain
| | - Carmen González
- Hematology Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - José Javier Ferreiro
- Hematopoietic Stem Cell Transplantation Unit Hematology Department Donostia University Hospital (DUH) Donostia Spain
| | - Mercedes Rey
- Immunology Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - Larraitz Aragón
- Immunology Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - Iratxe Urreta
- Clinical Epidemiology Unit Donostia University Hospital (DUH) Donostia Spain
| | | | - Helena Redín
- Core Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - Adolfo Garrido
- Core Laboratory Donostia University Hospital (DUH) Donostia Spain
| | - María Araiz
- Hematopoietic Stem Cell Transplantation Unit Hematology Department Donostia University Hospital (DUH) Donostia Spain
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11
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Assessment of haematopoietic progenitor cell counting with the Sysmex ® XN-1000 to guide timing of apheresis of peripheral blood stem cells. BLOOD TRANSFUSION = TRASFUSIONE DEL SANGUE 2019; 18:67-76. [PMID: 31403932 DOI: 10.2450/2019.0086-19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 06/04/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND Successful peripheral blood stem cell (PBSC) collection depends on optimal timing of apheresis, as usually determined by flow cytometry CD34-positive (+) cell count in peripheral blood (PB). Since this method is costly and labour-intensive, we evaluated the use of the Hematopoietic Progenitor Cell count programme on a Sysmex® XN haematologic analyser (XN-HPC) as a rapid and inexpensive alternative for predicting CD34+ cell count in PB samples. MATERIALS AND METHODS Haematopoietic progenitor cell and CD34+ cell counts were compared using 273 PB samples collected from 78 healthy donors and 72 patients who underwent PBSC transplantation. We assessed the effectiveness of the XN-HPC in safely predicting pre-harvest CD34+ counts. The most efficient cut-off values of XNHPC were identified. We also evaluated the imprecision (coefficient of variation, CV) and functional sensitivity. RESULTS Imprecision of the XN-HPC count was <6.3% on daily measurement of three levels of quality control material. Functional sensitivity was 8.9×106/L. A cut-off value of ≥62×106/L XN-HPC for multiple myeloma (MM) patients and ≥30×106/L for all other subjects had both 100% specificity and 100% positive predictive value for identifying samples with CD34+ cells ≥20×106/L. An XN-HPC threshold of <13×106/L identified preharvest CD34+ cell count <10×106/L with 100% sensitivity and 100% negative predictive value. DISCUSSION The XN-HPC is a fast, easy and inexpensive test that can safely improve apheresis workflow thus possibly replacing other more expensive CD34 counts currently performed and promoting optimal timing of PBSC collection.
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12
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Masuda H, Sasada K, Fukuyoshi Y, Ohkuma M, Uchiba M, Inoue Y, Nosaka K, Okuno Y, Matsuoka M, Matsui H, Yonemura Y. ASSESSMENT OF POOR MOBILIZATION USING PERIPHERAL BLOOD STEM CELLS BY AN AUTOMATED HEMATOLOGY ANALYZER. ACTA ACUST UNITED AC 2018. [DOI: 10.3925/jjtc.64.510] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Hiroki Masuda
- Department of Laboratory Medicine, Kumamoto University Hospital
| | - Keiko Sasada
- Department of Laboratory Medicine, Kumamoto University Hospital
| | - Yoko Fukuyoshi
- Department of Laboratory Medicine, Kumamoto University Hospital
- Department of Transfusion Medicine and Cell Therapy, Kumamoto University Hospital
| | - Masanori Ohkuma
- Department of Laboratory Medicine, Kumamoto University Hospital
| | - Mitsuhiro Uchiba
- Department of Transfusion Medicine and Cell Therapy, Kumamoto University Hospital
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
| | - Yoshitaka Inoue
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
| | - Kisato Nosaka
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
| | - Yutaka Okuno
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
| | - Masao Matsuoka
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
| | - Hirotaka Matsui
- Department of Laboratory Medicine, Kumamoto University Hospital
- Department of Transfusion Medicine and Cell Therapy, Kumamoto University Hospital
- Department of Molecular Laboratory Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Yuji Yonemura
- Department of Transfusion Medicine and Cell Therapy, Kumamoto University Hospital
- Departments of Hematology, Rheumatology, and Infectious Disease, Kumamoto University Hospital
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13
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Grommé M, Russcher H, Braakman E, Klinkspoor JH, Dobber JA, de Greef I, de Wit NC. Multicenter study to evaluate a new enumeration method for hematopoietic stem cell collection management. Transfusion 2017; 57:1949-1955. [DOI: 10.1111/trf.14183] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 02/10/2017] [Accepted: 02/16/2017] [Indexed: 02/02/2023]
Affiliation(s)
- Monique Grommé
- Department of Internal Medicine; Division of Haematology, Erasmus Medical Centre; Rotterdam the Netherlands
| | - Henk Russcher
- Clinical Chemistry, Erasmus Medical Centre; Rotterdam the Netherlands
| | - Eric Braakman
- Department of Hematology; Erasmus Medical Centre; Rotterdam the Netherlands
| | - J. Henriëtte Klinkspoor
- Laboratory for General Clinical Chemistry, Academic Medical Center; Amsterdam the Netherlands
| | - Johan A. Dobber
- Laboratory for Specialized Haematology; Academic Medical Center; Amsterdam the Netherlands
| | - Inge de Greef
- Department of Hematology; Erasmus Medical Centre; Rotterdam the Netherlands
| | - Norbert C.J. de Wit
- Central Diagnostic Laboratory; Maastricht University Medical Center; Maastricht the Netherlands
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14
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Abstract
Peripheral blood stem cell collection is an effective approach to obtain a hematopoietic graft for stem cell transplantation. Developing hematopoietic stem/progenitor cell (HSPC) mobilization methods and collection algorithms have improved efficiency, clinical outcomes, and cost effectiveness. Differences in mobilization mechanisms may change the HSPC content harvested and result in different engraftment kinetics and complications. Patient-specific factors can affect mobilization. Incorporating these factors in collection algorithms and improving assays for evaluating mobilization further extend the ability to obtain sufficient HSPCs for hematopoietic repopulation. Technological advance and innovations in leukapheresis have improved collection efficiency and reduced adverse effects.
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Affiliation(s)
- Yen-Michael S Hsu
- Pathology and Laboratory Medicine, Transfusion Medicine and Cellular Therapy, Weill Cornell Medical College, 525 East 68th Street, Box 251, New York, NY 10065, USA.
| | - Melissa M Cushing
- Transfusion Medicine and Cellular Therapy, Weill Cornell Medical College, 525 East 68th Street, Box 251, M09, New York, NY 10065, USA.
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15
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Peerschke EI, Moung C, Pessin MS, Maslak P. Evaluation of new automated hematopoietic progenitor cell analysis in the clinical management of peripheral blood stem cell collections. Transfusion 2015; 55:2001-9. [PMID: 25808236 DOI: 10.1111/trf.13078] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 01/24/2015] [Accepted: 02/02/2015] [Indexed: 12/01/2022]
Abstract
BACKGROUND Successful peripheral blood stem cell transplantation (PBSCT) depends on the collection and infusion of adequate numbers of peripheral blood progenitor cells (PBPCs). Several predictors of PBPC yield are used currently, including white blood cell (WBC) count and CD34 analysis. This study evaluated the utility of the new automated hematopoietic progenitor cell count available on Sysmex XN hematology analyzers (XN-HPCs) in PBSCT. STUDY DESIGN AND METHODS The performance characteristics of XN-HPC, CD34+, and WBC analysis were compared using 107 matched peripheral blood and apheresis samples. RESULTS Good correlation was observed between XN-HPC and CD34+ cell counts in peripheral blood (r = 0.88; slope, 0.81) and apheresis collections (r = 0.91; slope, 0.89). Moreover, peripheral blood XN-HPC and CD34 analysis showed comparable ability to predict successful PBPC harvests (≥2 × 10(6) CD34+ cells/kg). At a cutoff of 20 × 10(6) progenitor cells/L, peripheral blood XN- HPC and CD34 analysis both showed negative predictive values (NPVs) of 100% and positive predictive values (PPVs) of 55.4 and 63%, respectively. Using an optimized cutoff of 38 × 10(6) progenitor cells/L, derived from receiver operating characteristic analysis, the PPV for XN-HPC and CD34 analysis increased to 71.4 and 78.9%, respectively, with relatively unchanged NPVs (XN-HPC 97.7%, CD34+ 98.0%). In contrast, the correlation between peripheral blood WBC and CD34 analysis was poor (r = 0.48; slope, 669.85), and the peripheral blood WBC count (cutoff, 10 × 10(9) /L) was a poor predictor of PBPC harvest (NPV 60%, PPV 43.1%). CONCLUSION XN-HPC compares favorably with CD34 analysis and may be a surrogate for CD34 analysis to predict optimal timing of PBPC collections.
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Affiliation(s)
- Ellinor I Peerschke
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center.,Department of Pathology and Laboratory Medicine
| | - Christine Moung
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center
| | - Melissa S Pessin
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center
| | - Peter Maslak
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center.,Department of Medicine, Weill Cornell Medical Center, New York, New York
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