CORRELATIVE ANALYSES OF CYTOKINE RELEASE SYNDROME AND NEUROLOGICAL EVENTS IN TISAGENLECLEUCEL‐TREATED RELAPSED/REFRACTORY DIFFUSE LARGE B‐CELL LYMPHOMA PATIENTS
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".