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Combining Oncolytic Vaccinia Virotherapy with Adoptive T Cell Therapy,

2011· article· en· W2556577832 on OpenAlexaboutno aff
Minhtran Ngo, Jun Ando, Ann M. Leen, Caroline J. Breitbach, Anne Moon, David H. Kirn, John Bell, Cliona M. Rooney

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsOncolytic virusBiologyCytotoxic T cellT cellChimeric antigen receptorVirotherapyAntigenCD8ImmunotherapyCancer immunotherapyCancer researchImmunologyVacciniaAdoptive cell transferVirologyImmune systemIn vitro

Abstract

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Abstract Abstract 4042 Background. Immunotherapy with cytotoxic T lymphocytes (CTLs) has proved safe and effective for the treatment of post-transplant viral re-activation and lymphoproliferative diseases. T cells specific for non-viral tumor antigens (TA) have been effective for certain tumors but their efficacy is limited. To improve T cell activity and circumvent tumor evasion T cells have been genetically modified with chimeric antigen receptors (CARs), that consist of extracellular variable domains of antibodies specific for tumor cell surface markers linked via a transmembrane domain to the z chain of the T cell receptor. Although the persistence of CAR-T cell can be improved by the inclusion of signaling domains from various costimulatory molecules, these rarely produce sufficient proliferation and persistence in vivo. An alternative way to promote T cell expansion in vivo is by vaccination. If the T cells carrying the transgenic CAR are naturally specific for a vaccine antigen, then the vaccine could be used in vivo to enhance proliferation and anti-tumor activity. The oncolytic vaccinia virus (OVV) JX-594 produces reduction in tumor bulk, but complete remissions have not been published to date. JX-594 is tumor selective due to its dependency on increased EGFP-Ras pathway and sensitivity to IFN and it potently activates innate immunity by transgenic expression of human GM-CSF and TLR stimulation. We hypothesize that JX-594 could enhance the antitumor efficacy of vaccinia virus (VV)-specific T cells expressing tumor-specific CARs while at the same time reducing tumor mass allowing increased T cell penetration and survival. To identify VV vaccine antigens that induce T cell proliferation in vivo, we selected 6 different VV antigens and asked first if they could activate memory T cells from vaccinated individuals and second if the frequency of these T cells in vivo increased in response to vaccination both in healthy donors and in patients with hepatocellular carcinoma (HCC) who had received OVV treatment. We then determined if VV-specific T cells could be induced to express a CAR specific for human epidermal growth factor receptor 2, HER2 that is expressed on a range of solid tumors. Methods. PBMCs were obtained from healthy donors and patients who had received intratumoral JX-594 injections at the University of California in San Diego, USA, and McMaster University Medical Center, Canada. PBMCs were stimulated with overlapping peptide libraries (20aa overlapping by 15aa) spanning the entire protein sequences of the A10L, D8L, H3L, G5R, B22R, and D8L antigens of VV. Three days after stimulation, cells were transduced with retroviral vector encoding HER2.CAR and then expanded as for non-transduced T cells. After 9 days T cells were tested for their dual specificity and function in ELIspot and cytotoxicity assays. Results. We activated VV-specific T cells from 20/21 healthy donors vaccinated from 1 month to over 40 years previously. VV-specific T cell lines recognized a median of 4 of the 6 VV antigens (range 0 to 6). The frequency of VV-specific T cells increased in response to vaccination in healthy seronegative donors and in patients receiving multiple OVV injections. Transduced VV-specific T cells expressed the HER2.CAR in 40 to 50% of cells and CAR(+) T cells secreted g-IFN in response to stimulation with VV peptides in intracellular cytokine assays, validating their dual specificity. HER2.CAR-transduced VV-specific T cells killed both VV peptide pulsed activated T cells and HER2-expressing tumor cells in an HLA-independent manner.In most donors we were not able to detect VV-specific T cells without prior stimulation. However VV-specific T cells from two healthy donors could be detected in blood and expanded 120 and 90 fold, respectively, after one stimulation. In all the other donors, VV-specific T cells expanded to comparable frequencies at the end of the first stimulation, range 0.1% to 5% (with a median of 1.5%) of the final T cell population as measured by ELISpot assay. Conclusions and future plans. We have identified 6 VV antigens that consistently reactivate and expand T cells after vaccination. T cells specific for these antigens will therefore be suitable hosts for tumor-specific CARs that can be reactivated and expanded in vivo after adoptive transfer until the tumor is eliminated. We will test our combined OVV & adoptive T cell strategy in an immunocompetent murine model prior to evaluation in clinical trials. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.259
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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