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Biomarkers of Cytokine Release Syndrome and Neurotoxicity after CD19 CAR-T Cells and Mitigation of Toxicity By Cell Dose

2016· article· en· W2604684472 on OpenAlexaff
Cameron J. Turtle, Kevin A. Hay, Gust Juliane, Laïla‐Aïcha Hanafi, Daniel Li, Colette Chaney, Shelly Heimfeld, Stanley R. Riddell, David G. Maloney

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCytokine release syndromeMedicineCD8ToxicityCD19ImmunologyT cellInternal medicineGastroenterologyChimeric antigen receptorAntigenImmune system

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Lymphodepletion chemotherapy with infusion of CD19-specific chimeric antigen receptor (CAR)-modified T cells has produced impressive antitumor responses in CD19+ malignancies in phase 1 clinical trials, but can be associated with cytokine release syndrome (CRS) and neurotoxicity (NT). Our understanding of CRS and NT continues to evolve, and identification of predictive biomarkers and strategies to mitigate these toxicities will facilitate management of patients (pts) undergoing CD19 CAR-T cell therapy in multicenter phase 2 trials. METHODS: We treated 127 adults with ALL, NHL or CLL with anti-CD19 CAR-T cells manufactured from defined CD4+ and CD8+ T cell subsets, formulated in a 1:1 ratio of CD8+:CD4+ CAR+ T cells, and infused at 1 of 3 dose levels (2x105, 2x106 or 2x107 CAR-T cells/kg) following lymphodepletion chemotherapy. The incidence and grade (gr) of CRS and NT, and correlative biomarkers were analyzed through 28 days after infusion. RESULTS: One hundred and nine pts (45 ALL, 47 NHL, 17 CLL) have completed toxicity and response assessment. CRS was graded according to Lee et al (Blood, 2014) and developed in 71% of pts (44% gr 1-2, 22% gr 3-4, 5% gr 5). Pressors were only required in 21% of the pts who developed gr 3-4 CRS. Gr ³3 NT (CTCAE v 4.03) developed in 25% of pts, all of whom developed fever before NT. The median duration of all-cause hospitalization from the start of lymphodepletion was 7, 6, and 10 days for ALL, NHL and CLL pts, respectively. Because we observed short CAR-T cell persistence and an anti-CAR transgene immune response in an initial cohort of pts who received cyclophosphamide (Cy) lymphodepletion, fludarabine (Flu) was added to Cy. This regimen abrogated immune CAR-T cell rejection and dramatically increased early CAR-T cell expansion. We found that infusion of 2x107 CAR-T cells/kg after Cy/Flu was excessively toxic (5/9 developed gr 4-5 CRS), and identified 2x106 CAR-T cells/kg as the maximum tolerated dose in NHL and CLL. Of 26 NHL pts (22 with aggressive histology) treated with Cy/Flu and 2x106 CAR-T cells/kg, the ORR was 73% and the CR rate 46%. No pts had gr 5 CRS or required pressors, and only 12% of pts experienced either gr 3-4 CRS and/or gr ³3 NT. Of 13 CLL pts treated with Cy/Flu and ²2x106 CAR-T cells/kg, the ORR (CT+/-PET) was 85%. In 85%, of pts no marrow disease was detected by flow cytometry. Overall, 38% of pts achieved CR, including 1 pt with residual CLL after the first infusion who achieved CR after a second CAR-T cell infusion. No pts had gr 4-5 CRS or required pressors, and 23% had either gr 3 CRS and/or gr 3 NT. In ALL pts, the incidence of CRS and NT correlated with the percentage of marrow blasts and CAR-T cell dose, and further dose modification was required for pts with ³ 5% marrow blasts, in whom 2x106 CAR-T cells/kg was excessively toxic (56% gr 4-5 CRS; 56% gr 4-5 NT; n=9). CRS and NT was mitigated in pts with ³ 5% blasts by administering 2x105 CAR-T cells/kg resulting in 6% gr 4 CRS, 17% gr 3; and 17% gr 3-4 NT; n=18). Efficacy was not compromised with the T cell dose reduction for the high tumor burden cohort with 89% of pts achieving a bone marrow CR by high-resolution flow cytometry. Detailed characterization of early biomarkers of CRS and NT may provide an opportunity to develop data-driven toxicity grading to facilitate mitigation strategies that could be applied across different centers. Compared to pts with gr 0-2 CRS, those with gr 3-5 CRS had significantly higher peak levels of IL-15, IL-6, IL-2, IFN-g, C-reactive protein, and ferritin in both ALL and NHL cohorts. Importantly, in univariate analysis, the levels of IL-15, IL-6, IL-8, IL-10, soluble TNF receptor type 1, and IFN-g were significantly higher on day 1 after CAR-T cells in pts that developed gr 3-5 CRS, and might be used to identify pts to test early intervention strategies to reduce later severe toxicity. We made similar observations in pts with and without NT. Multivariate analysis of biomarkers including clinical and laboratory parameters (Figure 1) is ongoing. CONCLUSION: CD19 CAR-T cell immunotherapy can be associated with severe CRS and NT. The use of CAR-T cell products with a prescribed 1:1 CD4/CD8 composition identified CAR-T cell doses associated with a reduced incidence and severity of these complications without impairing efficacy. Additional study of correlative biomarkers to inform rational strategies for early intervention will facilitate the safe and effective clinical application of CAR-T cell therapy. Disclosures Turtle: Seattle Genetics: Consultancy, Honoraria; Juno Therapeutics: Consultancy, Honoraria, Research Funding. Li:Juno Therapeutics: Employment, Equity Ownership. Riddell:Juno Therapeutics: Equity Ownership, Patents & Royalties, Research Funding; Cell Medica: Consultancy, Honoraria; Adaptive Biotechnologies: Consultancy, Honoraria. Maloney:Juno Therapeutics: Research Funding; Genentech/Roche: Consultancy, Honoraria.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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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Citations10
Published2016
Admission routes1
Has abstractyes

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