Low-Volume Leukapheresis in Non-Cytokine-Stimulated Donors for the Collection of Mononuclear Cells

A novel predictive algorithm to personalize autologous T-cell harvest for chimeric antigen receptor T-cell manufacture

BACKGROUND AIMS

The most widely accepted starting materials for chimeric antigen receptor T-cell manufacture are autologous CD3+ T cells obtained via the process of leukapheresis, also known as T-cell harvest. As this treatment modality gains momentum and apheresis units struggle to meet demand for harvest slots, strategies to streamline this critical step are warranted.

METHODS

This retrospective review of 262 T-cell harvests, with a control cohort of healthy donors, analyzed the parameters impacting CD3+ T-cell yield in adults with B-cell malignancies. The overall aim was to design a novel predictive algorithm to guide the required processed blood volume (PBV) (L) on the apheresis machine to achieve a specific CD3+ target yield.

RESULTS

Factors associated with CD3+ T-cell yield on multivariate analysis included peripheral blood CD3+ count (natural log, ×109/L), hematocrit (HCT) and PBV with coefficients of 0.86 (95% confidence interval [CI], 0.80-0.92, P < 0.001), 1.30 (95% CI, 0.51-2.08, P = 0.001) and 0.09 (95% CI, 0.07-0.11, P < 0.001), respectively. The authors' model, incorporating CD3+ cell count, HCT and PBV (L), with an adjusted R2 of 0.87 and root-mean-square error of 0.26 in the training dataset, was highly predictive of CD3+ cell yield in the testing dataset. An online application to estimate PBV using this algorithm can be accessed at https://cd3yield.shinyapps.io/cd3yield/.

CONCLUSIONS

The authors propose a transferrable model that incorporates clinical and laboratory variables accessible pre-harvest for use across the field of T-cell therapy. Pending further validation, such a model may be used to generate an individual leukapheresis plan and streamline the process of cell harvest, a well-recognized bottleneck in the industry.

Optimizing leukapheresis product yield and purity for blood cell-based gene and immune effector cell therapy

PURPOSE OF REVIEW

A critical common step for blood-based ex-vivo gene and immune effector cell (IEC) therapies is the collection of target cells for further processing and manufacturing, often accomplished through a leukapheresis procedure to collect mononuclear cells (MNCs). The purpose of this review is to describe strategies to optimize the apheresis product cell yield and purity for gene and IEC therapies. Relevant data from the conventional bone marrow transplant literature is described where applicable.

RECENT FINDINGS

Product yield is affected by three main factors: the peripheral blood concentration of the target cell, optimized by mobilizing agents, donor interventions or donor selection; the volume of peripheral blood processed, tailored to the desired product yield using prediction algorithms; and target cell collection efficiency, optimized by a variety of device and donor-specific considerations. Factors affecting product purity include characteristics of the donor, mobilizing agent, device, and device settings.

SUMMARY

Strategies to optimize product yield and purity for gene and IEC therapies are important to consider because of loss of target cell numbers or function with downstream steps and detrimental effects of nontarget cells on further manufacturing and patient outcome.

Potentially modifiable predictors of cell collection efficiencies and product characteristics of allogeneic hematopoietic progenitor cell collections

BACKGROUND

Hematopoietic progenitor cell (HPC) and immune effector cell (IEC) therapies often require high doses of mononuclear cells (MNCs), whether CD34+ cells, lymphocytes, or monocytes. Cells for IEC can be sourced from HPC products. We thus examined potentially modifiable variables affecting collection efficiencies (CEs) of MNC subsets in HPC collection and also of the typically undesired cell types of platelets, granulocytes, and red cells, which hinder downstream processing. Finally, we sought to confirm previously indeterminate studies of the effect of an adjusted collect flow rate (CFR) on CD34+ CE.

STUDY DESIGN AND METHODS

We performed univariate and multivariate regression analyses of all 135 National Marrow Donor Program (NMDP) HPC collections in 2019 and compared these fixed CFR procedures to previous NMDP collections using adjusted CFRs.

RESULTS

Target cell CEs decreased with increasing peripheral blood (PB) concentration and were associated with different cell type locations within the MNC layer. CEs of undesired cell types varied with standard procedural parameters (inlet flow rate, whole blood processed, etc.). Interestingly, some CEs increased with preapheresis hematocrit. Finally, adjusting the CFR by PB MNC count improved MNC CE but not CD34+ CE.

CONCLUSION

Correlation of target cell CEs with their PB concentration and different cell type locations by depth within the MNC layer indicates the importance of investigating the compensatory fine-tuning of procedure variables to improve CE. Correlation of CEs with PB hematocrit, and CFR adjustment by a modified PB MNC and/or PB CD34 algorithm should be further explored. Adjusting standard procedural parameters may reduce product contamination.

The Challenge of Variability in Chimeric Antigen Receptor T cell Manufacturing

Autologous Chimeric Antigen Receptor (CAR) T cell manufacturing involves the modification and expansion of T cells obtained by apheresis collection from a patient. The mechanism of apheresis collection and the specific clinical features seen in these patients combine to generate apheresis products with high variability of content. Manufacturers often attempt to minimize this variability such that processes can be standardize in accordance with Good Manufacturing Practices (GMP). Such standardization improves efficiency and helps to ensure robustness of the overall process. Apheresis product variability can negatively impact T cell manufacturing success. Patient and collection driven variability often leads to non-T cells entering the apheresis product. Many of these cells can directly or indirectly impair T cell activation and expansion, decreasing the manufacturing success rate. Therefore, patient driven variability observed in apheresis products, must be mitigated through downstream processing. T cell enrichment is one step in the manufacturing cycle that can reduce process variability by generating more uniform downstream material. However, current T cell enrichment methods have limitations. Much of this type of variability can be avoided by collecting patients earlier in their disease or treatment course, this is not current, widespread or standard practice. While variability poses challenges to successful CAR T cell manufacturing and mitigation strategies can be successful, more work is needed in this area.

Efficacy and safety of one-day offline extracorporeal photopheresis schedule processing one total blood volume for treating patients with graft-versus-host disease

BACKGROUND

Extracorporeal photopheresis (ECP) has been increasingly used as a second-line therapy for graft-versus-host disease (GVHD) but there is no consensus regarding the best therapeutic schedule.

STUDY DESIGN AND METHODS

Our offline ECP schedule for treating patients with GVHD was retrospectively reviewed. Patients with acute GVHD were treated on 2 days per week for the first 2 weeks, followed by 1 day per week for 2 more weeks. After the first month of treatment, patients received treatment 1 day every 2 weeks for a minimum of 16 ECP procedures. Patients with chronic GVHD were treated on 1 day per week for 4 weeks followed by 1 day every 2 weeks for a minimum of 14 ECP procedures.

RESULTS

Our series comprises 21 (45%) patients with acute GVHD and 26 (55%) patients with chronic GVHD who received 667 ECP procedures. A median (interquartile range [IQR]) of 1.0 (1.0-1.12) total blood volume was processed. Patients with acute and chronic GVHD received ECP procedures during a median of 49 (IQR, 14-103) and 180 (IQR, 111-274) days, respectively. Mild citrate-induced symptoms were present in 98 (46%) and 232 (51%) procedures in patients with acute and chronic GVHD, respectively. Overall response rate (ORR) and overall survival (OS) were 57 and 38% (95% confidence interval [CI], 17%-59%), respectively, for patients with acute GVHD. For patients with chronic GVHD, ORR and OS were 77 and 61% (95% CI, 18%-87%), respectively.

CONCLUSION

Our new offline ECP schedule for treating patients with acute and chronic GVHD was efficacious and safe.