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Record W4393087951 · doi:10.1158/1538-7445.am2024-6325

Abstract 6325: Lineage tracing defines responding CAR T cells in patients with B cell malignancies

2024· article· en· W4393087951 on OpenAlexaff
Zinaida Good, Mark Hamilton, Jay Y. Spiegel, Moksha H. Desai, Zachary Ehlinger, Patrick Quinn, Yiyun Chen, Snehit Prabhu, Shin‐Heng Chiou, Sreevidya Kurra, Eric Yang, Michael G. Ozawa, Matthew J. Frank, Lori Muffly, Gursharan K. Claire, Sushma Bharadwaj, Saurabh Dahiya, Katherine A. Kong, Mark M. Davis, Sylvia K. Plevritis, Elena Sotillo, Bita Sahaf, David B. Miklos, Crystal L. Mackall

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsLineage (genetic)Cell lineageCancer researchBiologyMedicineGeneticsGeneCellular differentiation

Abstract

fetched live from OpenAlex

Abstract Autologous T cells engineered to express a chimeric antigen receptor (CAR) have transformed the standard of care for patients with B cell malignancies, but >50% of patients progress following therapy. Here, we sought to understand key T cell intrinsic factors impacting efficacy: CAR T cell expansion, persistence, and homing to the tumor. Using an endogenous T cell receptor (TCR) sequence as a ‘barcode’, we followed individual T cell clonotypes at the single-cell level from pre-manufacture apheresis and infusion products to tumor-involved lymph nodes and blood at peak and late expansion in 22 adult patients with relapsed or refractory large B cell lymphoma (LBCL) or acute lymphoblastic leukemia (ALL) treated with axicabtagene ciloleucel, an FDA-approved CD19-CAR T cell therapy, or bispecific CD19/CD22-CAR T cells on an investigator-initiated trial (NCT03233854). The resulting CAR T cell atlas comprises matched transcriptome (scRNA-seq) and surface protein expression (CITE-seq) for 846,344 cells from 97 samples, with 251,175 unique TCR clonotypes identified, including 17,479 clonotypes that could be traced across ≥2 timepoints in CAR+ cells, enabling lineage tracing at scale for the first time. We found that T cells present in apheresis that preferentially expand during manufacturing primarily comprise T central memory (Tcm) cells and are enriched for predicted specificity to common viruses, including influenza, but also include a subset of T regulatory (Treg) cells. In infusion products, CAR T conventional (non-Treg) cells with superior abilities to home to the tumor, expand, and persist post-infusion share features of activated T effector memory (Tem) phenotype enriched for expression of BATF3 and high TCF4 transcription factor activity. Baseline apheresis and infusion products were enriched for cells classified as Tregs in patients with poor response. This observation aligned with our recent work linking post-infusion CAR Tregs to progression following CD19-CAR T cell therapy. We therefore performed lineage tracing and methylation analysis of the Treg-specific demethylated region (TSDR) in the FOXP3 gene and found that post-infusion CAR Tregs are primarily derived from pre-existing Tregs. Of interest, flow cytometry analysis of baseline blood from a cohort of 53 patients treated with CD19-CAR for LBCL showed that Tregs are elevated in baseline blood relative to healthy donors. Removing Tregs from healthy donor T cells prior to manufacturing enhanced CAR T cell expansion and anti-tumor activity against JeKo-1 human lymphoma cell line, whereas adding 5% Tregs to mimic patient T cells rendered the resulting CAR T cells less active. These analyses pinpoint the identities of apheresis T cells and infusion CAR T cells with properties impacting efficacy, and also identify pre-existing Tregs as limiting efficacy of CAR T cell immunotherapies. Citation Format: Zinaida Good, Mark P. Hamilton, Jay Y. Spiegel, Moksha H. Desai, Zachary J. Ehlinger, Patrick J. Quinn, Yiyun Chen, Snehit Prabhu, Shin-Heng Chiou, Sreevidya Kurra, Eric Yang, Michael G. Ozawa, Matthew J. Frank, Lori Muffly, Gursharan K. Claire, Sushma Bharadwaj, Saurabh Dahiya, Katherine A. Kong, Mark M. Davis, Sylvia K. Plevritis, Elena Sotillo, Bita Sahaf, David B. Miklos, Crystal L. Mackall. Lineage tracing defines responding CAR T cells in patients with B cell malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6325.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.061
GPT teacher head0.384
Teacher spread0.323 · 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

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