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Lee CY, Yu TY, Lin FL, Hung GY, Hou MH, Ho CY, Liu CY, Chiou TJ, Yen HJ. Peripheral blood stem cell harvesting in young children weighing less than 15 kg. Cytotherapy 2024:S1465-3249(24)00709-6. [PMID: 38795116 DOI: 10.1016/j.jcyt.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 05/27/2024]
Abstract
Autologous peripheral blood stem cell (PBSC) transplantation is crucial in pediatric cancer treatment, and tandem transplantation is beneficial in certain malignancies. Collecting PBSCs in small children with low body weight is challenging. We retrospectively analyzed data of pediatric cancer patients weighing <15 kg who underwent autologous PBSC harvesting in our hospital. Collections were performed in the pediatric intensive care unit over 2 or 3 consecutive days, to harvest sufficient stem cells (goal ≥2 × 106 CD34+ cells/kg per apheresate). From April 2006 to August 2021, we performed 129 collections after 50 mobilizations in 40 patients, with a median age of 1.9 (range, 0.6-5.6) years and a body weight of 11.0 (range, 6.6-14.7) kg. The median CD34+ cells in each apheresate were 4.2 (range, 0.01-40.13) × 106/kg. 78% and 56% of mobilizations achieved sufficient cell dose for single or tandem transplantation, respectively, without additional aliquoting. The preapheresis hematopoietic progenitor cell (HPC) count was highly correlated with the CD34+ cell yield in the apheresate (r = 0.555, P < 0.001). Granulocyte colony-stimulating factor alone was not effective for mobilization in children ≥2 years of age, even without radiation exposure. By combining the preapheresis HPC count ≥20/μL and the 3 significant host factors, including age <2 years, no radiation exposure and use of chemotherapy, the prediction rate of goal achievement was increased (area under the curve 0.787).
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Affiliation(s)
- Chih-Ying Lee
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Ting-Yen Yu
- Department of Pediatrics, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Fen-Lan Lin
- Department of Medicine, Division of Transfusion Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Giun-Yi Hung
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Ming-Hsin Hou
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Cheng-Yin Ho
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Chun-Yu Liu
- Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan.; Department of Medicine, Division of Transfusion Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tzeon-Jye Chiou
- Department of Medicine, Division of Transfusion Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Cancer Center, Taipei Municipal Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Hsiu-Ju Yen
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan..
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Hsu TL, Tsai CK, Liu CY, Yeh CM, Lin FL, Hsiao LT, Liu YC, Chien SH, Wang HY, Ko PS, Lin TA, Chen WC, Chen PM, Liu JH, Gau JP, Liu CJ. Risk factors of early disease progression and decreased survival for multiple myeloma patients after upfront autologous stem cell transplantation. Ann Hematol 2024:10.1007/s00277-024-05641-y. [PMID: 38472362 DOI: 10.1007/s00277-024-05641-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/19/2024] [Indexed: 03/14/2024]
Abstract
Multiple myeloma (MM) stands as the second most prevalent hematological malignancy, constituting approximately 10% of all hematological malignancies. Current guidelines recommend upfront autologous stem cell transplantation (ASCT) for transplant-eligible MM patients. This study seeks to delineate factors influencing post-ASCT outcomes in MM patients. Our cohort comprised 150 MM patients from Taipei Veterans General Hospital, with progression-free survival (PFS) as the primary endpoint and overall survival (OS) as the secondary endpoint. A Cox proportional hazards model was employed to discern potential predictive factors for survival. ASCT age ≥ 65 (hazard ratio [HR] 1.94, 95% confidence interval [CI] 1.08-3.47) and the presence of extramedullary disease (HR 2.53, 95% CI 1.53-4.19) negatively impacted PFS. Conversely, treatment response ≥ VGPR before ASCT (HR 0.52, 95% CI 0.31-0.87) and total CD34+ cells collected ≥ 4 × 106 cells/kg on the first stem cell harvesting (HR 0.52, 95% CI 0.32-0.87) were positively associated with PFS. For OS, patients with ISS stage III (HR 2.06, 95% CI 1.05-4.04), the presence of extramedullary disease (HR 3.92, 95% CI 2.03-7.58), light chain ratio ≥ 100 before ASCT (HR 7.08, 95% CI 1.45-34.59), post-ASCT cytomegalovirus infection (HR 9.43, 95% CI 3.09-28.84), and a lower conditioning melphalan dose (< 140 mg/m2; HR 2.75, 95% CI 1.23-6.17) experienced shorter OS. In contrast, post-ASCT day + 15 absolute monocyte counts (D15 AMC) > 500/µl (HR 0.36, 95% CI 0.17-0.79) and post-ASCT day + 15 platelet counts (D15 PLT) > 80,000/µl (HR 0.48, 95% CI 0.24-0.94) were correlated with improved OS. Significantly, early PLT and AMC recovery on day + 15 predicting longer OS represents a novel finding not previously reported. Other factors also align with previous studies. Our study provides real-world insights for post-ASCT outcome prediction beyond clinical trials.
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Affiliation(s)
- Te-Lin Hsu
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- Division of Holistic and Multidisciplinary Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chun-Kuang Tsai
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Yu Liu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chiu-Mei Yeh
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Fen-Lan Lin
- Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Liang-Tsai Hsiao
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yao-Chung Liu
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Sheng-Hsuan Chien
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hao-Yuan Wang
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Po-Shen Ko
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ting-An Lin
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wen-Chun Chen
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Po-Min Chen
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jin-Hwang Liu
- Section of Hematology and Oncology, Department of Internal Medicine, Cheng Hsin General Hospital, Taipei, Taiwan
- Institute of Biopharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Chong Hin Loon Memorial Cancer and Biotherapy Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jyh-Pyng Gau
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chia-Jen Liu
- Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, No. 201 Shipai Road, Sec. 2, Taipei, 11217, Taiwan.
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
- Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Eskandarian P, Bagherzadeh Mohasefi J, Pirnejad H, Niazkhani Z. Prediction of future gene expression profile by analyzing its past variation pattern. Gene Expr Patterns 2021; 39:119166. [PMID: 33444808 DOI: 10.1016/j.gep.2021.119166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/28/2020] [Accepted: 01/07/2021] [Indexed: 01/21/2023]
Abstract
A number of initial Hematopoietic Stem Cells (HSC) are considered in a container that are able to divide into HSCs or differentiate into various types of descendant cells. In this paper, a method is designed to predict an approximate gene expression profile (GEP) for future descendant cells resulted from HSC division/differentiation. First, the GEP prediction problem is modeled into a multivariate time series prediction problem. A novel method called EHSCP (Extended Hematopoietic Stem Cell Prediction) is introduced which is an artificial neural machine to solve the problem. EHSCP accepts the initial sequence of measured GEPs as input and predicts GEPs of future descendant cells. This prediction can be performed for multiple stages of cell division/differentiation. EHSCP considers the GEP sequence as time series and computes correlation between input time series. Two novel artificial neural units called PLSTM (Parametric Long Short Term Memory) and MILSTM (Multi-Input LSTM) are designed. PLSTM makes EHSCP able to consider this correlation in output prediction. Since there exist thousands of time series in GEP prediction, a hierarchical encoder is proposed that computes this correlation using 101 MILSTMs. EHSCP is trained using 155 datasets and is evaluated on 39 test datasets. These evaluations show that EHSCP surpasses existing methods in terms of prediction accuracy and number of correctly-predicted division/differentiation stages. In these evaluations, number of correctly-predicted stages in EHSCP was 128 when as many as 8 initial stages were given.
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Affiliation(s)
- Parinaz Eskandarian
- Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
| | - Jamshid Bagherzadeh Mohasefi
- Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran; Department of Electrical and Computer Engineering, Urmia University, Urmia, Iran.
| | - Habibollah Pirnejad
- Patient Safety Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran.
| | - Zahra Niazkhani
- Nephrology and Kidney Transplant Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran.
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Shin S, Cho SR, Kim S, Choi JR, Lee KA. Identification of cell morphology parameters from automatic hematology analyzers to predict the peripheral blood CD34-positive cell count after mobilization. PLoS One 2017; 12:e0174286. [PMID: 28319139 PMCID: PMC5358893 DOI: 10.1371/journal.pone.0174286] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Accepted: 03/06/2017] [Indexed: 11/19/2022] Open
Abstract
Optimal timing of apheresis initiation is important for maximizing the hematopoietic stem cell (HSC) yield. This study aimed to identify useful parameters from automatic hematology analyzers for predicting the peripheral blood CD34+ cell count after mobilization. We prospectively enrolled 53 healthy donors and 72 patients, and evaluated 43 cell morphology parameters from Unicel DxH800 (Beckman Coulter, USA) and Advia 2120i (Siemens Healthcare Diagnostics, USA). The correlation of each parameter with the CD34+ cell count in pre-apheresis blood samples was analyzed. The delta neutrophil index (DNI) from Advia 2120i, standard deviation of volume of neutrophils and monocytes (SD-V-NE and SD-V-MO), standard deviation of conductivity of neutrophils and monocytes (SD-C-NE and SD-C-MO), mean conductivity of neutrophils and monocytes (MN-C-NE and MN-C-MO), and standard deviation of axial light loss of neutrophils and monocytes (SD-AL2-NE and SD-AL2-MO) from DxH800 showed significant correlations with the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO showed good or fair area under the curve values for the prediction of the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO from DxH800 will provide rapid, useful information for the initiation of apheresis after mobilization.
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Affiliation(s)
- Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Department of Laboratory Medicine, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Korea
| | - Sung Ran Cho
- Department of Laboratory Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Sinyoung Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Kyung-A Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- * E-mail:
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