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Record W2949814266 · doi:10.1002/hon.118_2630

CORRELATIVE ANALYSES OF CYTOKINE RELEASE SYNDROME AND NEUROLOGICAL EVENTS IN TISAGENLECLEUCEL‐TREATED RELAPSED/REFRACTORY DIFFUSE LARGE B‐CELL LYMPHOMA PATIENTS

2019· article· en· W2949814266 on OpenAlexaff
Veronika Bachanová, Jason R. Westin, Constantine S. Tam, Peter Borchmann, Ulrich Jaeger, Joseph P. McGuirk, Harald Holte, Edmund K. Waller, Samantha Jaglowski, Michael Bishop, Charalambos Andreadis, S.R. Foley, Isabelle Fleury, Takanori Teshima, Stephan Mielke, Gilles Salles, P. Joy Ho, Koji Izutsu, Richard T. Maziarz, Koen van Besien, Marie José Kersten, Nina Wagner‐Johnston, Koji Kato, Paolo Corradini, Xingmin Han, Sergei Agoulnik, J. Chu, Lamis Eldjerou, Lida Pacaud, Stephen J. Schuster

Bibliographic record

VenueHematological Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsHôpital Maisonneuve-RosemontMcMaster University
Fundersnot available
KeywordsCytokine release syndromeMedicineInternal medicineRefractory (planetary science)GastroenterologyClinical endpointLymphomaDiffuse large B-cell lymphomaPhases of clinical researchCytokinePeripheral T-cell lymphomaClinical trialImmunotherapyImmunologyT cellImmune systemCancerBiology

Abstract

fetched live from OpenAlex

Background: Tisagenlecleucel (anti-CD19 CAR-T cell therapy) has shown durable responses and a manageable safety profile in adult patients (pts) with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL). We report a 24 mo clinical update and correlative analyses between cytokine release syndrome (CRS)/neurological events (NE) and inflammatory/lab analyte markers. Methods: JULIET (NCT02445248) is a single-arm, pivotal, phase 2 trial of tisagenlecleucel in adult pts with r/r DLBCL. The primary endpoint was overall response rate (ORR: complete [CR] + partial response). Peak (within 1 mo of infusion) serum cytokine levels/lab parameters were correlated with rate/grade (gr) of CRS (by Penn) and NE (by CTCAE v4.03) within 8 wk of infusion. Results: As of 11 Dec 2018, 115 pts were infused (99 evaluable for efficacy). ORR remained 54% (95% CI: 43, 64), CR rate was 40%, and median duration of response was not reached (NR; 95% CI: 10, –) at a max follow-up of almost 24 mo from onset of response. Of 31 pts with CR at 6 mo, 3 relapsed between 6-12 mo and 1 relapsed beyond 12 mo. Median overall survival for all 115 pts was 10.3 mo (NR for pts in CR). Severe (gr 3/4) CRS and NE occurred in 23% and 11%, respectively. 83% of pts with any gr NE also had CRS; 62% of pts with severe NE had severe CRS. Median time to onset of CRS and NE was 3 and 6 d, respectively. Peak cytokine levels within 1 mo of infusion were increased in pts with CRS/NE and the trend was more noticeable in pts with severe CRS and severe NE. Higher CRP, ferritin, interferon-ɣ (IFNG), IL2, IL6, and IL10 were observed in pts with severe CRS; severe NE showed similar trends of a lesser degree, except for IFNG. In pts with CRS, cytokines peaked on d 6-9, with early increase of IL2, IL6, and IFNG in the first 2 d post-infusion with severe CRS. Low platelet count, elevated lactate dehydrogenase, and below-normal albumin levels were seen after lymphodepleting chemotherapy; these trends continued post-infusion in pts with severe CRS. As CRS progressed, hepatic and kidney dysfunction-related analytes trended toward an increase, peaking 2 wk post-infusion in pts with severe CRS. Additional univariate/multivariate analyses using pts’ disease and clinical characteristics in an attempt to predict CRS/NE severity are ongoing. Conclusions: With almost 24 mo max follow-up, tisagenlecleucel continued to demonstrate durable efficacy. Severe NE appeared to correlate with severe CRS. Trends in peak levels of several markers were noted with severe CRS and – to a lesser extent – severe NE. Keywords: CD19; cytokines; diffuse large B-cell lymphoma (DLBCL). Disclosures: Bachanova, V: Consultant Advisory Role: Novartis; Research Funding: GAMIDA Cell, UNUM, Novartis, GT Biopharm. Westin, J: Consultant Advisory Role: Novartis, Kite Pharma, Juno, Celgene, Janssen, Genentech. Tam, C: Honoraria: Novartis. Borchmann, P: Honoraria: Novartis. Jaeger, U: Honoraria: AbbVie, Bioverativ, Celgene, Gilead, Janssen, MSD, Novartis, Roche, Takeda Millenium, Amgen, AOP Orphan, BMS, Sandoz; Research Funding: Bioverativ, Celgene, Gilead, Janssen, MSD, Novartis, Roche; Other Remuneration: AbbVie, Celgene, Gilead, Janssen, MAD, Novartis, Roche, Takeda Millenium, Amgen, AOP Orphan, BMS, Sandoz. McGuirk, J: Honoraria: Kite Pharma; Research Funding: Novartis, Kite Pharma, Fresenius Biotech, Astellas Pharma, Bellicum Pharmaceuticals, Gamida Cell, Pluristem Ltd. Holte, H: Consultant Advisory Role: Novartis; Honoraria: Novartis. Waller, E: Employment Leadership Position: Cambium Medical Technologies; Consultant Advisory Role: Kalytera, Novartis; Stock Ownership: Cerus Corporation, Chimerix; Honoraria: Cambrium Medical Technologies, Kalytera, Novartis; Research Funding: Celldex, Novartis, Pharmacyclics. Jaglowski, S: Honoraria: Kite Pharma, Juno; Research Funding: Novarits. Bishop, M: Employment Leadership Position: United Healthcare; Honoraria: Celgene, Jeneau Therapeutics, Novartis. Andreadis, C: Honoraria: Novartis, Genentech, Seattle Genetics, Gilead, Astellas; Research Funding: Novartis, Cellerant Therapeutics, Incyte, Pharmacyclics, Amgen, Genentech. Fleury, I: Honoraria: Gilead, Novartis, Roche, Seattle Genetics, Janssen, AbbVie. Teshima, T: Honoraria: Novartis; Research Funding: Novartis. Mielke, S: Consultant Advisory Role: Celgene, KIADIS Pharma, Miltenyi Biotec, DGHO, EHA. Salles, G: Consultant Advisory Role: Novartis; Honoraria: Novartis. Ho, P: Other Remuneration: Novartis, Celgene, La Jolla Pharmaceuticals. Izutsu, K: Honoraria: Novartis, Eisal, Kyowa Hakko Kirin, MSD, Takeda, Janssen, Bristol Myers Squib, Dainihon Sumitomo, Mundipharma, Nihon Mediphysics, Chugai, AstraZeneca, AbbVie, Bayer, Ono, Celgene; Research Funding: Novartis, Eisal, MSD, Takeda, Janssen, Mundipharma, Chugai, AbbVie, Bayer, Ono, Gilead, Zenyaku, Celgene, Solasia, Symbio, Astellas, Astellas Amgen, Diichi Sankyo. Maziarz, R: Consultant Advisory Role: Novartis, Incyte, Juno Therapeutics; Honoraria: Novartis, Incyte, Juno Therapeutics, Kite Therapeutics; Research Funding: Novartis; Other Remuneration: Athersys, Inc. Van Besien, K: Research Funding: Novartis. Kersten, M: Consultant Advisory Role: Roche, Celgene, Takeda, Novartis, Kite, BMS; Honoraria: Roche, Celgene, Takeda, Novartis, Kite; Research Funding: Roche, Celgene, Takeda. Wagner-Johnston, N: Consultant Advisory Role: Juno, ADC Therapeutics, Janssen. Corradini, P: Consultant Advisory Role: Celgene, AbbVie, Amgen, Daiichi Sankyo, Gilead, Janssen, Kiowakirin, Novartis, Roche, Sanofi, Servier, Takeda. Han, X: Employment Leadership Position: Novartis. Agoulnik, S: Employment Leadership Position: Novartis. Chu, J: Employment Leadership Position: Novartis. Eldjerou, L: Employment Leadership Position: Novarits. Pacaud, L: Employment Leadership Position: Novartis. Schuster, S: Honoraria: Celgene, Genentech, Merck, Pharmacyclics, Novartis, Nordic Nanovector, Acerta, Pfizer, Gilead; Research Funding: Celgene, Genentech, Merck, Pharmacyclics, Novartis, Gilead.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.338
Teacher spread0.301 · 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.

Study designObservational
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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Citations7
Published2019
Admission routes1
Has abstractyes

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