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Updated: Jul 28, 2025

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
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Trans-population graph-based coverage optimization of allogeneic cellular therapy.

Sapir Israeli1, Elizabeth F Krakow2,3, Martin Maiers4,5

  • 1Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel.

Frontiers in Immunology
|June 1, 2023
PubMed
Summary
This summary is machine-generated.

Selecting optimal donors for off-the-shelf immune effector cell therapy (IECT) banks is crucial. Graph-based algorithms efficiently identify donors, outperforming random selection and making gene editing less cost-effective.

Keywords:
HLANKT cellallogeneiccoveragefrequenciesmodeltherapies

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Area of Science:

  • Immunology
  • Genetics
  • Bioinformatics

Background:

  • Off-the-shelf immune effector cell therapy (IECT) shows promise over autologous treatments.
  • HLA matching criteria for IECT vary based on GvHD reduction and persistence strategies.
  • Optimizing donor selection for IECT product banks is a significant challenge.

Purpose of the Study:

  • To develop an optimal donor selection strategy for off-the-shelf IECT.
  • To compare the cost-effectiveness of recruiting more donors versus gene editing for HLA expression.
  • To evaluate the efficiency of different optimization algorithms for donor selection.

Main Methods:

  • Developed an optimal coverage problem and a graph-based algorithm for donor selection.
  • Compared greedy, linear programming (LP), and integer linear programming (ILP) algorithms against random selection.
  • Assessed scenarios with varying HLA matching priorities and population sizes.

Main Results:

  • Optimization algorithms (Greedy, LP, ILP) achieved optimal coverage with fewer donors than random selection.
  • Gene editing was generally more expensive than recruiting additional donors.
  • Optimal donor selection maintained coverage across different populations, unlike random selection.

Conclusions:

  • Graph-based algorithms offer an efficient, flexible approach to developing off-the-shelf IECT banks.
  • These methods enhance transparency and standardization in IECT product design.
  • Optimal donor selection is key to maximizing patient population coverage and minimizing costs.