Addition of Plerixafor to Mobilization Regimens in Autologous Peripheral Blood Stem Cell Transplants Does Not Affect the Correlation of Preharvest Hematopoietic Precursor Cell Enumeration with First-Harvest CD34+ Stem Cell Yield

Addition of plerixafor for mobilization of stem cells with bortezomib is feasible in dialysis-dependent multiple myeloma

Plerixafor and bortezomib have recently been used in autologous stem cell collection to increase the amount of stem cells collected. However, no reports have described the combined use of plerixafor and bortezomib in cases of dialysis-dependent multiple myeloma. The dialysis-dependent multiple myeloma patient in the present study had a small amount of CD34-positive cells with plerixafor and filgrastim, and also with bortezomib and cyclophosphamide. However, by adding plerixafor to bortezomib and cyclophosphamide, collected CD34-positive cells were increased six-fold compared to the previous day. These findings suggest that the combination of plerixafor and bortezomib may be effective in those patients.

Analysis of laboratory parameters for optimal autologous peripheral blood stem cell collection from lymphoma and myeloma patients

BACKGROUND

Peripheral blood stem cell (PBSC) collection is important for successful hematopoietic stem cell transplantation. This study aimed to investigate the laboratory parameters associated with the optimal timing of autologous PBSC collection from lymphoma and multiple myeloma patients.

METHODS

We retrospectively evaluated data from 1105 PBSC apheresis procedures performed on 379 adult patients at the National Cancer Center between June 2005 and December 2019. Laboratory parameters, including cutoff values for the number of hematopoietic progenitor cells (HPCs) and circulating CD34+ cells, were analyzed to determine their association with CD34+ cell yield.

RESULTS

The pre-apheresis HPC and CD34+ cell count were statistically significant variables associated with harvested CD34+ cell in lymphoma and MM patients. The optimal cutoff values were 18 × 10⁶ /L for pre-HPC count (66.8% sensitivity, 66.4% specificity) and 11/μL for pre-CD34+ cell count (85.8% sensitivity, 87.2% specificity), to achieve CD34+ cell yields ≥ 1.0 × 10⁶ /kg for each apheresis procedure. Moreover, the optimal cutoff values were 23 × 10⁶ /L for pre-HPC count (71.0% sensitivity, 69.0% specificity) and 18/μL for pre-CD34+ cell count (87.5% sensitivity, 86.3% specificity) to achieve CD34+ cell yields ≥ 2.0 × 10⁶ /kg for each apheresis procedure.

CONCLUSION

HPC count is a potential surrogate marker for monitoring the starting time for PBSC collection. Applying cutoff values for the number of HPC and CD34+ cells may be clinically useful for optimizing the timing of PBSC collection.

Coding Cell Identity of Human Skeletal Muscle Progenitor Cells Using Cell Surface Markers: Current Status and Remaining Challenges for Characterization and Isolation

Skeletal muscle progenitor cells (SMPCs), also called myogenic progenitors, have been studied extensively in recent years because of their promising therapeutic potential to preserve and recover skeletal muscle mass and function in patients with cachexia, sarcopenia, and neuromuscular diseases. SMPCs can be utilized to investigate the mechanisms of natural and pathological myogenesis via in vitro modeling and in vivo experimentation. While various types of SMPCs are currently available from several sources, human pluripotent stem cells (PSCs) offer an efficient and cost-effective method to derive SMPCs. As human PSC-derived cells often display varying heterogeneity in cell types, cell enrichment using cell surface markers remains a critical step in current procedures to establish a pure population of SMPCs. Here we summarize the cell surface markers currently being used to detect human SMPCs, describing their potential application for characterizing, identifying and isolating human PSC-derived SMPCs. To date, several positive and negative markers have been used to enrich human SMPCs from differentiated PSCs by cell sorting. A careful analysis of current findings can broaden our understanding and reveal potential uses for these surface markers with SMPCs.

Benefits of Pre-harvest Peripheral Blood CD34 Counts Guided Single Dose Therapy with PLERIXAFOR in Autologous Hematopoietic Stem Cell Transplantation: A Retrospective Study at a Tertiary Care Institute in India

Peripheral blood is a convenient source of stem cells for hematopoietic stem cell transplantation. However, in autologous transplants, the harvest failure rates are high because of inadequate mobilization using G-CSF alone. Plerixafor is a potent mobilizer when used with G-CSF. However, its routine use is limited by high cost. This is a retrospective study done at a tertiary care oncology centre in India. All the harvest records were analyzed between Jan 2015 and Nov 2017. May 2016 onwards pre-harvest peripheral blood CD34 count was done in all cases of autologous transplants on day 4 of G-CSF therapy and they were given a single dose of Plerixafor if counts were < 20 cell per cumm. The results were compared amongst various groups. A total of 321 cases were analyzed. 172/321 were allogenic transplant cases of which 5% (n = 7) failed to achieve a target live stem cell dose of > 2 million per kg of the recipient. The overall failure rate in autologous group (n = 149) was 27% (n = 41) (p ≤ 0.001 auto vs. allo). The failure rate was higher (36%, n = 28/77) when no intervention with Plerixafor was done. The overall failure rate in the group treated with pre-harvest 34 count based single dose therapy of Plerixafor was 18% (n = 13/72, p = 0.01). However, within this intervention group, the patients who had pre-harvest peripheral blood CD34 above the desired cutoff had a higher failure rate of 21% (p = 0.13). Pre-harvest CD34 count based intervention with Plerixafor help optimizing the cost.

Rapid prediction of stem cell mobilization using volume and conductivity data from automated hematology analyzers

BACKGROUND

Rapid analytics to predict circulating hematopoietic stem cells are valuable for optimal management of mobilization, particularly for the use of newer and costly mobilization agents such as plerixafor.

STUDY DESIGN AND METHODS

We used stepwise, linear multiple regression modeling applied to cell population data collected by routine hematology analyzers (Beckman Coulter DxH 800) on patients undergoing autologous stem cell collection (n = 131). Beta coefficients were used to derive a formula for a stem cell index (SCI). We then tested the correlation of SCI with stem cell counts and performance of the SCI as a predictor of poor mobilization with external validation in a separate cohort (n = 183).

RESULTS

The SCI correlated strongly with CD34 counts by flow cytometry (r = 0.8372 in the development cohort, r = 0.8332 in the external validation cohort) and compares favorably with other rapid stem cell enumerating technologies. In the external validation cohort, the SCI performed well as a predictor (receiver operating characteristic area under the curve, 0.9336) of poor mobilization (CD34 count < 10), with a sensitivity of 72% and a specificity of 93%. When prevalence of poor mobilization was 33%, this resulted in a positive predictive value of 83% and a negative predictive value of 87%. The SCI also showed promise in tracking responses to plerixafor administration.

CONCLUSION

The findings demonstrate the utility of the cell population data collected by hematology analyzers to provide rapid data beyond standard complete blood counts, particularly for stem cell count prediction, requiring no additional reagents, specimen, or instrumentation.

Autologous Stem Cell Mobilization and Collection

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.

CXCR4 (CD184) expression on stem cell harvest and CD34+ cells post-transplant

OBJECTIVES/BACKGROUND

CXCR4 is a receptor for stromal-derived factor-1 (SDF-1), a molecule that has a chemotactic activity for lymphocytes and is important in homing of hematopoietic stem cells to their adult marrow. We evaluated the CXCR4 (CD184) expression in the harvest cells and in the post-transplant bone marrow (BM) and its relation to engraftment, as determined by the consensus criteria and chimerism.

METHODS

This is a prospective study which included 30 patients undergoing hematopoietic stem cell transplantation; 15 patients received autograft and 15 patients received allograft on dates between January 2012 and May 2014. We assessed CD184 (CXCR4) using flow cytometry in the harvest cells together with post-transplant BM assessment on Day 28 and Day 90 for complete morphologic, molecular studies, and detection of CD184 expression on CD34⁺ cells with chimerism studies on total peripheral blood mononuclear cells.

RESULTS

Diagnoses of the enrolled patients were as follows: seven (24.1%) with acute myeloid leukemia, eight (27.6%) with multiple myeloma, four (13.8%) with acute lymphoblastic leukemia, three (10.3%) with non-Hodgkin lymphoma, two (6.9%) with myelodysplastic syndromes, two (6.9%) with aplastic anemia, two (6.9%) with chronic myeloid leukemia, one (3.4%) with Hodgkin lymphoma, and one (3.4%) with plasmacytomas. One patient died and was excluded from the study because there were not enough data about engraftment. There was no statistical significance between the level of CD184 in stem cell harvest and the prediction of successful engraftment (p>0.05) as well as in Day 28 BM sample (p>0.05), whereas there was a statistical significance between the level of CD184 in Day 90 BM sample and the occurrence of successful engraftment (p=0.002).

CONCLUSION

SDF-1/CXCR4 axis plays a crucial role in engraftment; however, more studies are warranted to assess their expression post-transplant. Evaluating the ligand (chemokine, SDF-1) or its receptor (CXCR4) may serve as potential surrogate markers for assessment of engraftment.

Decision-tree algorithm for optimized hematopoietic progenitor cell-based predictions in peripheral blood stem cell mobilization

BACKGROUND

Enumerating hematopoietic progenitor cells (HPCs) by using an automated hematology analyzer is a rapid, inexpensive, and simple method for predicting a successful harvest compared with enumerating circulating CD34+ cells. However, the optimal HPC cutoff count and the indicating factors to be considered for improved predicting have not yet been determined.

STUDY DESIGN AND METHODS

Between 2007 and 2012, a total of 189 consecutive patients who proceeded to peripheral blood stem cell (PBSC) harvesting were retrospectively recruited. Baseline characteristics were analyzed to identify the risk factors for a failed harvest, which were defined as less than 2 × 10(6) CD34+ cells/kg. Variables identified by multivariate logistic regression and correlation analysis for predicting a successful harvest were subjected to classification and regression tree (CART) analysis.

RESULTS

PBSCs were successfully harvested in 154 (81.5%) patients. An age of at least 60 years, a diagnosis of a solid tumor, at least five prior chemotherapy cycles, prior radiotherapy, and mobilization with granulocyte-colony-stimulating factor alone or high-dose cyclophosphamide were independent baseline predictors of poor mobilization. In CART analysis, patients with zero to two host risk factors and either higher HPC (≥28 × 10(6) /L) or mononuclear cell (MNC; ≥3.5 × 10(9) /L) counts were categorized as good mobilizers and their harvest success rate was 92.3%. By contrast, 30.3% of harvests were adequate in the patients with three to five host risk factors and lower HPC and MNC counts.

CONCLUSION

A CART algorithm incorporating host predictors and HPC and MNC counts improves predictions in a successful harvest and might reduce the necessity of monitoring peripheral CD34+ cells.

Circulating hematopoietic progenitors and CD34(+) cells predicted successful hematopoietic stem cell harvest in myeloma and lymphoma patients: experiences from a single institution

Background

Previous studies have shown that the numbers of both circulating hematopoietic progenitor cell (HPC) and CD34⁺ cell are positively correlated with CD34⁺ cell harvest yield. However, the minimal numbers of both circulating HPCs and CD34⁺ cells required for performing an efficient hematopoietic stem cell (HSC) harvest in lymphoma and myeloma patients have not been defined in our institution.

Patients and methods

Medical records of 50 lymphoma and myeloma patients undergoing peripheral blood HSC harvest in our institution were retrospectively reviewed. The minimal and optimal HSC harvest yield required for the treatment was considered to be ≥2×10⁶ CD34⁺ cells/kg and ≥5×10⁶ CD34⁺ cells/kg, respectively.

Results

The minimally required or optimal HSC yield obtained was not influenced by age (≥60 years), sex, underlying malignancies, disease status, multiple rounds of chemotherapy, or history of radiotherapy. The numbers of both circulating HPC and CD34⁺ cell were higher in patients with minimally required HSC yields (P=0.000 for HPC and P=0.000 for CD34⁺ cell) and also in patients with optimal HSC yields (P=0.011 for HPC and P=0.006 for CD34⁺ cell). The cell count cutoff for obtaining minimally required HSC harvest was determined to be 20/mm³ for HPCs and 10/mm³ for CD34⁺ cells. Furthermore, the cell count cutoff for obtaining optimal HSC harvest was determined to be 60/mm³ for HPCs and 35/mm³ for CD34⁺ cells.

Conclusion

A total of 60/mm³ of HPCs and 35/mm³ of CD34⁺ cells in peripheral blood predicted optimal HSC harvest in lymphoma and myeloma patients.

Prediction of poor mobilization of autologous CD34+ cells with growth factor in multiple myeloma patients: implications for risk-stratification

It is unknown whether clinical characteristics can successfully predict which multiple myeloma (MM) patients would be poor mobilizers with growth factor (GF) alone so they can be assigned to mobilization with chemotherapy + GF or GF + plerixafor. MM patients (N = 477) who underwent autologous mobilization with GF were retrospectively reviewed and assigned into training and validation cohorts. In multiple regression analysis, age, platelet count at time of mobilization, type of GF utilized, and extent of exposure to lenalidomide independently correlated with peripheral blood (PB)-CD34+ and were integrated in a predicting score (PS) for poor mobilizers, defined as PB-CD34+ < 20/mm(3) 4 days after initiation of GF. There was no correlation between institution, gender, time between diagnosis, and mobilization or plasma cells in the bone marrow at time of mobilization and PBCD34+. The PS cut-off found in the training cohort to have 90% sensitivity for prediction of poor mobilizers performed with 89.7% sensitivity but only 34.8% specificity in the validation cohort. Conversely, the PS cut-off developed to have 90% specificity performed with 86.9% specificity but only 37% sensitivity. We conclude that clinical characteristics identifiable before initiation of mobilization should not be used to stratify MM patients for different mobilization strategies.