MétaCan
Menu
Back to cohort
Record W4403511991 · doi:10.1093/neuonc/noae144.216

P12.03.B CAN COGNITIVE PERFORMANCE PREDICT NEUROTOXICITY INCIDENCE FOLLOWING CHIMERIC ANTIGEN RECEPTOR T-CELL THERAPY FOR LYMPHOMA?

2024· article· en· W4403511991 on OpenAlexaboutno aff
R Ursu, Claudia Bârsan, Cathérine Belin, Stefania Cuzzubbo, Christophe Carreau, M El Soudany, Raghunath Sivapragassame, Caterina Cristinelli, Roberta Di Blasi, Amani Ouedrani, Sophie Caillat‐Zucman, Catherine Thiéblemont, Alain Carpentier

Bibliographic record

VenueNeuro-Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsnot available
Fundersnot available
KeywordsChimeric antigen receptorNeurotoxicityLymphomaIncidence (geometry)CognitionAntigenB-cell lymphomaMedicineImmunologyCancer researchOncologyInternal medicineT cellMathematicsImmune systemToxicityPsychiatry

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionised the landscape of cancer treatment, particularly in haematological malignancies, and while these therapies have demonstrated significant efficacy against malignancies, they are associated with a spectrum of side effects. Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) are unique to CAR-T cell therapy and distinguish it from other forms of autoimmune toxicity. Predicting which patients will develop neurotoxicity remains a challenge. The pattern of ICANS is cognitive dysfunction, suggesting a plausible relationship between cognitive status and neurotoxicity. Understanding the interplay between cognitive function and neurotoxicity may provide valuable insights for early detection. The primary endpoint of this study was to investigate whether the cognitive performance of patients at the time of leukapheresis is associated with the subsequent development of ICANS. MATERIAL AND METHODS We report here on a prospective study of an adult patient population with aggressive B-cell lymphoma treated with CAR-T cell therapy at our centre between May 2020 and November 2023. All patients underwent neurological examination, cerebral MRI and global cognitive assessment using the Montreal Cognitive Assessment (MoCA) test with a cut-off of less than 26 points. We retrospectively recorded total metabolic tumour volume (TMTV) and International Prognostic Index (IPI) at lymphodepletion. Biological data including lactate dehydrogenase (LDH), albumin, ferritin and C-reactive protein (CRP) were also collected at the time of treatment. A retrospective analysis of pre-infusion serum neurofilament light chain (NfL) levels at the time of the decision to proceed with CAR-T cell therapy and at the time of treatment was performed. RESULTS 156 patients, median age 64 years (range 21 to 79 years), 55 females / 101 males, all treated for lymphoma, were included in this study. The mean MoCA score was 26 (range 12 to 30 points), 63 patients (40%) had a MoCA test below the cut-off at baseline. Following infusion of CAR T cells, 32% of patients developed ICANS within 6 days (grade 1-2: 72%; grade 3-4: 30%). The most common sign of neurotoxicity was cognitive impairment. In univariate analyses, the occurrence of ICANS was not significantly associated with baseline cognitive performance (p 0.58). As the study is ongoing, an update on the results will be available at the EANO meeting. CONCLUSION Neurotoxicity associated with CAR-T therapies occurs in one third of patients. This study does not suggest an association between the occurrence of ICANS and baseline cognitive performance. Despite progress in understanding the mechanisms underlying neurotoxicity, predicting its occurrence remains a challenge.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.312
Teacher spread0.290 · 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 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueNeuro-OncologySame topicCancer-related cognitive impairment studiesFrench-language works237,207