Outcomes with third-party virus-specific T cells after the use of single-antigen cell lines to predict HLA restriction

Patients with significant T-cell dysfunction from chemotherapy or hematopoietic stem cell transplant are at significant risk for complications of viral infections. Off-the-shelf third-party virus-specific T cells (TP VSTs) are an effective and well-tolerated treatment for the management of infection with adenovirus, BK polyomavirus, cytomegalovirus, and Epstein-Barr virus. TP VST product selection for any particular patient incorporates maximizing the number of HLA matches between the product and the patient, along with consideration of the antiviral activity of the product. We have previously shown that single-antigen cell lines (SALs), cell lines expressing a single HLA molecule, can be used in a flow cytometric-based assay to determine sites of HLA restriction for TP VST products. We hypothesized that incorporating match at sites of HLA restriction into TP VST product selection would improve response rates. Here we report on 25 patients who received TP VSTs for the treatment of 26 viral infections with at least 1 match at an HLA-restricted site. In this cohort, the overall response rate was 96.2%, with a complete response rate of 69.2%. These data suggest the annotation of VST banks to include SAL-derived HLA restriction could lead to improved product selection and efficacy. This trial was registered at www.clinicaltrials.gov as #NCT02532452.

Authors

Institutions

Publication Details

Journal
Blood Advances
Published
2025-09-24
DOI
https://doi.org/10.1182/bloodadvances.2025017097
Primary Topic
Virus-based gene therapy research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Outcomes with third-party virus-specific T cells after the use of single-antigen cell lines to predict HLA restriction

Carolyn Lutzko, Stella M. Davies, Daniel A. Lichtenstein, Anusha Sridharan et al.
Blood Advances
Virus-based gene therapy research
article

Outcomes with third-party virus-specific T cells after the use of single-antigen cell lines to predict HLA restriction

Carolyn Lutzko, Stella M. Davies, Daniel A. Lichtenstein, Anusha Sridharan, Michael Grimley, YunZu Michele Wang, Daria Heyenbruch, Jamie Wilhelm, Jeremy D. Rubinstein, Ruby Khoury, José A. Cancelas, Zahra Hudda, Giang Pham
article en

Abstract

Patients with significant T-cell dysfunction from chemotherapy or hematopoietic stem cell transplant are at significant risk for complications of viral infections. Off-the-shelf third-party virus-specific T cells (TP VSTs) are an effective and well-tolerated treatment for the management of infection with adenovirus, BK polyomavirus, cytomegalovirus, and Epstein-Barr virus. TP VST product selection for any particular patient incorporates maximizing the number of HLA matches between the product and the patient, along with consideration of the antiviral activity of the product. We have previously shown that single-antigen cell lines (SALs), cell lines expressing a single HLA molecule, can be used in a flow cytometric-based assay to determine sites of HLA restriction for TP VST products. We hypothesized that incorporating match at sites of HLA restriction into TP VST product selection would improve response rates. Here we report on 25 patients who received TP VSTs for the treatment of 26 viral infections with at least 1 match at an HLA-restricted site. In this cohort, the overall response rate was 96.2%, with a complete response rate of 69.2%. These data suggest the annotation of VST banks to include SAL-derived HLA restriction could lead to improved product selection and efficacy. This trial was registered at www.clinicaltrials.gov as #NCT02532452.

Blood AdvancesVol. 9(24)
Cincinnati Children's Hospital Medical Center (US), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Openalex Percentile: Top 72%
Virus-based gene therapy research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.