Immunoglobulin-like transcript 2 (ILT2) is a biomarker of therapeutic response to oncolytic immunotherapy with vaccinia viruses
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Updated: Apr 29, 2026

Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
Published on: January 7, 2019
Andrew Zloza1, Dae Won Kim2, Seunghee Kim-Schulze3
1Rush University Cancer Center, 1725 West Harrison Street, Chicago, IL 60612, USA ; Department of Immunology/Microbiology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA.
Background:
Oncolytic viruses represent a novel form of cancer immunotherapy. Vaccinia viruses encoding human T cell co-stimulatory molecules have demonstrated clinical activity in phase I clinical trials in patients with advanced melanoma. However, predictive biomarkers of therapeutic response have not yet been identified.
Methods:
A customized microarray was performed to identify changes in peripheral blood mononuclear cell (PBMC) gene expression upon exposure to recombinant oncolytic vaccinia viruses. Up-regulated and down-regulated genes were identified and selected for further analysis using PBMC samples from normal donors and oncolytic virus-treated patients before and after viral injection. Quantitative PCR and flow cytometry of defined T cell subsets was performed to evaluate expression patterns and clinical correlations.
Results:
The microarray identified 301 genes that were up-regulated and 960 genes that were down-regulated in T cells after exposure to oncolytic vaccinia virus. The B7.1 gene was highly up-regulated and the immunoglobulin-like transcript 2 (ILT2) gene was highly down-regulated by vaccinia-B7.1, which was consistent with the known inverse regulation of these two genes. We observed an inverse association between ILT2 expression in the tumor microenvironment and clinical response and further identified ILT2 as a marker of regulatory CD4+ and suppressor CD8+ T cell responses and whose down-regulation was predictive of therapeutic responses in patients treated with oncolytic virus immunotherapy.
Conclusions:
ILT2 is a new putative biomarker of T cell and clinical response in patients treated with oncolytic vaccinia virus immunotherapy. Further confirmation of ILT2 as a biomarker requires prospective validation in a larger series of clinical trials.
Insights
Immunotherapy using oncolytic viruses shows promise for cancer treatment. Researchers identified immunoglobulin-like transcript 2 (ILT2) as a potential biomarker predicting patient response to vaccinia virus therapy.
Area of Science:
- Immunology
- Oncology
- Virology
Background:
- Oncolytic viruses are an emerging cancer immunotherapy strategy.
- Vaccinia viruses engineered with T cell co-stimulatory molecules show clinical activity in melanoma.
- Predictive biomarkers for oncolytic virus therapy response are currently lacking.
Purpose of the Study:
- To identify gene expression changes in peripheral blood mononuclear cells (PBMCs) upon exposure to oncolytic vaccinia viruses.
- To determine if these gene expression changes correlate with clinical response in cancer patients.
Main Methods:
- Customized microarray analysis of PBMCs from healthy donors and patients before and after oncolytic vaccinia virus treatment.
- Quantitative PCR and flow cytometry to validate gene expression patterns and T cell subset analysis.
- Correlation of gene expression with clinical outcomes in patients with advanced melanoma.
Main Results:
- Microarray analysis revealed significant up-regulation (301 genes) and down-regulation (960 genes) in T cells post-oncolytic vaccinia virus exposure.
- The B7.1 gene was highly up-regulated, and immunoglobulin-like transcript 2 (ILT2) was highly down-regulated.
- Down-regulation of ILT2 in the tumor microenvironment was associated with improved clinical response and predicted therapeutic success.
Conclusions:
- Immunoglobulin-like transcript 2 (ILT2) is a potential novel biomarker for T cell and clinical response in oncolytic vaccinia virus immunotherapy.
- Further prospective validation in larger clinical trials is necessary to confirm ILT2's role as a predictive biomarker.
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