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Record W3212241914 · doi:10.1182/blood-2021-150965

Newly Developed Oncolytic Herpes Simplex Viruses Expressing Multiple Immunomodulatory Transgenes Effectively Target AML Cells

2021· article· en· W3212241914 on OpenAlexaff
Yixin Zheng, Min Chen, Yanal Murad, Luke Bu, William Jia, Xiaoyan Jiang

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsVancouver Biotech (Canada)Terry Fox Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsOncolytic virusHerpes simplex virusMyeloid leukemiaMultiplicity of infectionBiologyLeukemiaVirologyCancer researchImmune systemImmunologyMedicineVirus

Abstract

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Abstract Acute myeloid leukemia (AML) is the most common human leukemia and is a major area of unmet medical need among hematologic malignancies. Progress has been made in identifying therapeutic targets and several approved therapies, but resistance to frontline chemotherapy remains a major cause of treatment failure, highlighting the need for new therapies. Oncolytic viruses (OV) are a promising new class of therapeutics that rely on tumor specific oncolysis and the generation of a potent adaptive anti-tumor immune response for efficacy. To investigate if our newly developed oncolytic herpes simplex viruses (oHSVs), designed to potentiate anti-leukemia immunity, effectively target primitive AML cells, we evaluated oHSV-VG161, which is engineered to express IL-12, IL-15 and the IL-15 receptor alpha subunit, along with a peptide fusion protein capable of disrupting PD-1/PD-L1 interaction. After screening several AML cell lines that expressed relatively high levels of a HSV entry receptor (HVEM), we demonstrated that VG161-infected OCIAML3 and MOLM13 cells significantly enhanced cell killing (IC 50: 0.4 & 1.8 multiplicity of infection (MOI) as compared to MV4-11 and U973 cells (IC 50: 3.0 & 9.5 MOI). These effects were 2-3 folds lower in control VG160-infected cells. We also observed that VG161-infected AML cells induced apoptosis in a dose-dependent manner (~50%) after 48 hours and cleaved PARP, Caspase-3 and Caspase-8 were increased in these cells, and to a lesser extent in control VG160-infected cells. Both VG160 and VG161 viruses replicated efficiently in OCIAML3 and MOLM13 cells in a timely, dose-dependent manner, evidenced by qPCR detection of HSV-1 ICP27 DNA copy numbers (>500-fold increase) over 48 hours of treatment. This result was supported by detection of protein expression of HSV-1 glycoprotein D in VG160 and VG161-infected cells (up to 40% of protein detected) by FACS analysis. Interestingly, IL-12 but not IL-15 protein expression was found in intracellular-stained VG161-infected OCIAML3 and MOLM13 cells in a dose-dependent manner (up to 13% of protein detected, P<0.01) but not in VG160-infected cells, as assessed by FACS analysis. Production of IL-12 was also detected in cultured media obtained from VG161-infected AML cells (up to 150 pg/mL) by ELISA. To investigate potential molecular mechanisms of VG161-mediated anti-leukemia response and specific signalling pathways, we have screened several potential candidates and found immune regulating genes, such as IRF3, IRF7, IRF9, NFkB and ISGs, as well as type I IFN to be highly increased in VG161-infected cells as compared to VG160-infected cells (2-4-folds, P<0.001) in a dose dependent manner over 48 hours of treatment, assayed by qRT-PCR. Western blot analysis demonstrated increased phosphorylation of p-STAT1 and its protein expression in VG161-infected cells compared to VG160 control cells (~2-fold). These results suggest that VG161 viruses expressing several engineered immunomodulatory transgenes, particularly IL-12, contribute to anti-leukemia responses by activating specific immune regulating pathways such as the JAK/STAT pathway. In addition, we detected an increase in both RNA and protein levels of PD-L1 in VG161-infected AML cells, suggesting the necessity of PD-L1 blocking peptide in the viral construct. To further investigate VG161's role in regulating innate and adaptive immune responses, we have examined the biological effects of VG160/VG161 in the presence of healthy peripheral blood mononuclear cells (PBMC) in both AML cell lines and primary AML patient cells in vitro. Most interestingly, VG160 or VG161-infected OCIAML3 and MOLM13 cells show enhanced cell killing when co-cultured with PBMC and this cell killing effect was greatly enhanced in VG161-infected cells as compared to VG160-infected cells, especially in the MOLM13 cell line (up to 90% killing). This observation was further supported when primitive AML patient cells were co-cultured with VG161 and PBMC as compared to VG160 control cells. Moreover, PD-L1 expression was highly increased in AML patient cells when cultured with VG161 as compared to VG160 (2.7-fold) and this was further enhanced when co-cultured with VG161 and PBMC. Thus, we have demonstrated that newly developed oHSVs engineered with several immunomodulatory transgenes effectively target primitive AML cells, suggesting a potential treatment strategy for AML. 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 score0.002

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 head0.293
Teacher spread0.267 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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