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Record W2566658724 · doi:10.1016/s1525-0016(16)34022-9

413. Pre-Clinical Preparation and Validation of Tumor Cell-Based IL-12 Immunotherapy for Acute Myeloid Leukemia

2015· article· en· W2566658724 on OpenAlexaffabout
B C Y Au, Yuanfeng Liu, Ju Huang, Megan Nelles, Andrea Arruda, Michael Rothe, Gabi Paul, Axel Schambach, Dwayne L. Barber, Mark D. Minden, Christopher J. Paige, Jeffrey A. Medin

Bibliographic record

VenueMolecular Therapy · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
Fundersnot available
KeywordsTumor microenvironmentCancer researchImmunotherapyBiologyT cellMyeloid leukemiaLeukemiaImmunologyImmune system

Abstract

fetched live from OpenAlex

Interleukin(IL)-12 is a potent pro-inflammatory cytokine that stimulates a variety of effector cells involved in anti-tumor immunity. Systemic administration of IL-12 has associated toxicities, however. Various strategies are being developed to reduce such toxicities by restricting IL-12 distribution. Options here include generating fusions with tumor-targeting molecules and directing gene delivery to specific cells. First – we used lentivirus vectors (LVs) to engineer expression of murine IL-12 in tumor cells ex vivo and subsequently infused such modified cells into recipient mice. This strategy restricts IL-12 to the local tumor microenvironment thereby promoting immune activation in the context of tumor-associated antigens (TAAs). Using mouse models of both leukemia and solid tumors, we found that this cell-based approach generated effective anti-tumor protection when as little as 1% of the tumor burden expressed IL-12 as long as threshold expression levels on a per cell basis were reached. Second – our groups showed that anti-tumor mechanisms here involve CD4+ killer T cells, dendritic cells, and direct cell-cell contact with effectors. Clinical translation of this cell-based IL-12 therapy is in progress in Toronto for AML using a novel LV to modify patients’ own blast cells. Patient AML cells collected to date (n = 21) were stratified based on in vivo growth kinetics and transduced with a near-GMP-grade bicistronic LV that encodes the human IL-12 cDNA as a p40-p70 fusion, as well as a mutant thymidylate kinase (tmpK) fused to the ectodomain of LNGFR (trLNGFR) as a suicide (cell-fate control) cassette. The trLNGFR/tmpK element allows selection and also selective ablation of transduced cells by administration of AZT. Furthermore, it also allows tracking of transduced cells and quantification of transduction frequencies/transgene expression levels. With our current protocol, functional transduction efficiencies of primary patient AML blasts ranged from 20% to 70% (n=17). Transduced AML cells displayed a strong correlation between vector copy number and trLNGFR/tmpK + IL-12 levels and dose-dependent sensitivity to AZT. In vitro immortalization (IVIM) assays determined that the near-GMP LV/IL-12 vector displayed minimal genotoxic risk in transduced lin- cells; insertion site analyses carried out on expanded clones displayed poly-to oligo-clonality patterns. Pre-clinical data on toxicity and scale-up considerations are being accumulated in preparation for a Clinical Trial Application to Health Canada targeting AML. This LV/IL-12 immunotherapy platform targeting tumor cells themselves thus holds potential to be effective against a wide variety of cancers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.358
Teacher spread0.328 · 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 teacher head, 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

Citations1
Published2015
Admission routes2
Has abstractyes

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