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Record W2915478666 · doi:10.1182/blood-2018-99-113642

CAR-Modified Th1/Tc1-Polarized T-Rapa Cells Dissociate Inflammatory Cytokine Secretion from Anti-Tumor Cytotoxicity

2018· article· en· W2915478666 on OpenAlexaff
Robyn A. A. Oldham, Tania C. Felizardo, Nathaniel Zhu, Daniel H. Fowler, Jeffrey A. Medin

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmunologyCytokine release syndromeChimeric antigen receptorCytokineInterleukin 21Interleukin 12Cancer researchBiologyMedicineImmunotherapyCytotoxic T cellT cellImmune systemIn vitro

Abstract

fetched live from OpenAlex

Abstract Introduction: Despite some striking clinical success thus far, chimeric antigen receptor (CAR) engineered cells have the potential to cause severe side effects. Neurotoxicity and cytokine release syndrome (CRS), the latter characterized by increased levels of cytokines such as IL-6, IFN-γ, and MCP-1, are common adverse events associated with CAR therapy. Lymphodepleting preconditioning regimens are associated with improved clinical responses to CAR therapy, yet lymphodepletion has also been identified as a risk factor for CRS. Understanding and management of these toxicities has improved significantly, however these conditions are challenging to treat and can be life-threatening. The ability to limit or prevent initiation of CRS would greatly improve the safety of CAR therapy. Previous clinical trials have shown that T-Rapa cells (patient T cells that have been grown exvivo in rapamycin) can be successfully infused back into autologous recipients after a low-dose conditioning regimen. After infusion, these T-Rapa cells have potent effector functions and demonstrate long-term persistence. Here we determine that T-Rapa cells, engineered by lentivirus-mediated gene transfer to express an anti-CD19 CAR, are just as effective at killing tumor cells as similarly-engineered pan T cells but produce dramatically less IFN-γ, for example. Methods: Human CD3+ cells were treated with rapamycin in the presence of IFN-α and IL-2 to produce T-Rapa cells with a Th1/Tc1 phenotype. An anti-CD19-41BB-CD3ζ CAR construct was subcloned into a lentiviral vector backbone containing an IRES-eGFP element. Vector was prepared and used to transduce T or T-Rapa cells. Transgene expression was assessed by FACS for eGFP and Protein L staining for the CAR. CAR-T cells were then expanded using CD3/CD28 beads in the presence of IL-2. The expanded cells were used in assays including FACS assessment of T cell phenotype, co-culture assays, and 51Cr release assays in comparison with non-rapamycin treated CAR T cells and non-transduced controls. Results: Following transduction and expansion, similar eGFP and CAR expression levels were found in T and T-Rapa cells transduced at the same MOI. CAR-T and CAR-T-Rapa cells developed from multiple independent T cell donors exhibited similar phenotypes at days 5 and 14 post-thaw, as determined by analyses of T-cell subset and exhaustion markers including CD45RO, CD127, CCR7, CD95, CD25, CXCR3, CTLA-4, PD-1, LAG-3, and TIM-3. Both CAR-T and CAR-T-Rapa cells exhibited comparable levels of cytotoxicity against CD19+ Raji, SUP-B15 and RS4;11 cancer cell lines after coculture for 4 hours in a 51Cr release assay. Further, both T and T-Rapa CAR cells produced similar amounts of IL-2 following a 24-hour coculture with CD19+ Raji, SUP-B15 and RS4;11 cancer cell lines, as measured by ELISA. Interestingly, CAR-T-Rapa cells produced significantly less IFN- γ that CAR-T cells after 24 hours of coculture with CD19+ tumor cells. This observation was consistent for CAR-T and CAR-T-Rapa cells assessed at both day 5 and day 14 post-thaw. Conclusions: T-Rapa cells can be successfully transduced with a CAR vector, and show comparable T cell subset, exhaustion phenotype, and cytotoxicity to CAR-T cells that have not been treated with rapamycin. In spite of these similarities, when challenged with CD19+ tumor cells, CAR-T-Rapa cells produced less IFN-γ than CAR-T cells. Decreased production of IFN- γ may reduce the risk and severity of CRS, improving the safety of CAR therapy. Additional cytokine production studies, as well as in vivo studies, are underway to further characterize T-Rapa cells as a novel CAR effector cell type. Disclosures Felizardo: Rapa Therapeutics: Employment, Patents & Royalties. Zhu:Rapa Therapeutics: Employment, Patents & Royalties. Fowler:Rapa Therapeutics: Employment, Equity Ownership, Patents & Royalties. Medin:Rapa Therapeutics: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.

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 score0.004
Threshold uncertainty score0.013

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)0.0040.002

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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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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Citations1
Published2018
Admission routes1
Has abstractyes

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