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Simple method to predict lymphocyte collection for chimeric antigen receptor T-cell engineering.

O Hequet1, V Mialou2, F Cognasse3

  • 1Apheresis Unit, EFS (Etablissement Français du Sang) Auvergne-Rhône-Alpes, Centre Hospitalier Lyon Sud (South Lyon Hospital), HCL (Hospices Civils de Lyon), Pierre Bénite, France; CIRI, International Centre for Infectiology Research, University of Lyon, INSERM, U1111, France.

Transfusion Clinique Et Biologique : Journal De La Societe Francaise De Transfusion Sanguine
|January 15, 2025
PubMed
Summary
This summary is machine-generated.

Predicting T-cell collection for CAR T-cell therapy is now simpler. A new method allows accurate estimation of T lymphocytes collected based on pre-apheresis lymphocyte blood levels and blood volumes processed.

Keywords:
CAR T cellsContinuous Mononuclear Cell Collection (CMNC)CytapheresisEstimationImmunotherapyLymphocyte

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Area of Science:

  • Hematology
  • Immunotherapy
  • Cellular Therapy

Background:

  • T lymphocyte collection is crucial for CAR T-cell therapy in refractory hematologic malignancies.
  • Current methods lack standardized guidelines for predicting T-cell yield.
  • T-cell yield is influenced by pre-apheresis lymphocyte blood levels (pcLBL) and blood volumes (BVs) processed.

Purpose of the Study:

  • To define and standardize a simple method for predicting T-cell collection.
  • To account for both pcLBL and BVs processed, irrespective of apheresis equipment.
  • To optimize T-cell collection for CAR T-cell engineering.

Main Methods:

  • Retrospective analysis of 407 apheresis sessions from 400 patients with non-Hodgkin's lymphoma or multiple myeloma.
  • Evaluation of collection efficiencies (CE1, CE2) and neutrophil collection percentage.
  • Assessment of a predictive model multiplying pcLBL by the number of BVs processed.

Main Results:

  • Collection efficiencies for lymphocytes and T cells were adequate (76 ± 15% and 69 ± 15%).
  • Neutrophil collection was minimal (9 ± 12%).
  • T-cell collection was predictable by multiplying pcLBL by 2.5 for each BV processed.

Conclusions:

  • A straightforward method for predicting T-cell collection has been established.
  • This prediction tool aids apheresis and hematology teams in monitoring collection sessions.
  • The method is applicable across different apheresis platforms and CAR T-cell technologies.