Evidence map›Paper›PMID 39241199›Full record

ArticleBlood2024

Baseline immune state and T-cell clonal kinetics are associated with durable response to CAR-T therapy in large B-cell lymphoma.

Katie Maurer, Isabella N Grabski, Roch Houot, Satyen H Gohil, Shogo Miura, Robert Redd, Haoxiang Lyu, Wesley Lu, Yohei Arihara, Justin Budka and 14 more

Abstract read
In one paragraph

Article in Blood, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Mapping clinical CAR-T cells: insights from scRNA-seq.Trends in molecular medicine · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Advancing CAR-T cell therapy: Insights into patient biology, leukapheresis, and cryopreservation.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. High-dimensional temporal mapping of CAR T cells reveals phenotypic and functional remodeling during manufacturing.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Katie MaurerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-4160-181X
Isabella N GrabskiDepartment of Biostatistics, Harvard University, Boston, MA.
Roch HouotDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-1729-8213
Satyen H GohilDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Shogo MiuraDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-4774-0228
Robert ReddDepartment of Biostatistics, Harvard University, Boston, MA.ORCID 0000-0002-1329-5288
Haoxiang LyuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Wesley LuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0009-0007-5584-041X
Yohei AriharaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Justin BudkaKite, a Gilead Company, Santa Monica, CA.ORCID 0000-0003-0908-1508
Mikaela McDonoughDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Michela AnsuinelliDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3424-915X
Carol ReynoldsDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Heather JaceneHarvard Medical School, Boston, MA.
Shuqiang LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Kenneth J LivakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-9105-5856
Jerome RitzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-5526-4669
Brodie MilesKite, a Gilead Company, Santa Monica, CA.
Mike MattieKite, a Gilead Company, Santa Monica, CA.
Donna S NeubergDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA.
Rafael A IrizarryDepartment of Biostatistics, Harvard University, Boston, MA.ORCID 0000-0002-3944-4309
Philippe ArmandDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Caron JacobsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2016 to 2025
$17.0M
Data Analysis Tools for Emerging High-Throughput TechnologiesR35GM131802 · NIGMS · DANA-FARBER CANCER INST · PI Rafael Angel Irizarry · 2019 to 2026
$4.1M
Overcoming bias and unwanted variability in next generation sequencingR01HG005220 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2010 to 2018
$3.6M
Single cell investigation of co-evolution in cancer cells and host cell immune microenvironmentR50CA251956 · NCI · DANA-FARBER CANCER INST · PI Shuqiang Li · 2020 to 2026
$1.4M
NCI NIH HHS P01 CA206978NCI NIH HHS R50 CA251956NHGRI NIH HHS R01 HG005220NIGMS NIH HHS R35 GM131802
6 · The paper itself

Abstract

abstractEngineered cellular therapy with CD19-targeting chimeric antigen receptor T cells (CAR-Ts) has revolutionized outcomes for patients with relapsed/refractory large B-cell lymphoma (LBCL), but the cellular and molecular features associated with response remain largely unresolved. We analyzed serial peripheral blood samples ranging from the day of apheresis (day -28/baseline) to 28 days after CAR-T infusion from 50 patients with LBCL treated with axicabtagene ciloleucel by integrating single-cell RNA and T-cell receptor sequencing, flow cytometry, and mass cytometry to characterize features associated with response to CAR-T. Pretreatment patient characteristics associated with response included the presence of B cells and increased absolute lymphocyte count to absolute monocyte count ratio (ALC/AMC). Infusion products from responders were enriched for clonally expanded, highly activated CD8+ T cells. We expanded these observations to 99 patients from the ZUMA-1 cohort and identified a subset of patients with elevated baseline B cells, 80% of whom were complete responders. We integrated B-cell proportion ≥0.5% and ALC/AMC ≥1.2 into a 2-factor predictive model and applied this model to the ZUMA-1 cohort. Estimated progression-free survival at 1 year in patients meeting 1 or both criteria was 65% vs 31% for patients meeting neither criterion. Our results suggest that patients' immunologic state at baseline affects the likelihood of response to CAR-T through both modulation of the T-cell apheresis product composition and promoting a more favorable circulating immune compartment before therapy. These baseline immunologic features, measured readily in the clinical setting before CAR-T, can be applied to predict response to therapy.

Indexed as

Immunotherapy, AdoptiveLymphoma, Large B-Cell, DiffuseAdultAgedAntigens, CD19Biological ProductsFemaleHumansMaleMiddle AgedReceptors, Antigen, T-CellReceptors, Chimeric AntigenT-LymphocytesTreatment OutcomeAntigens, CD19axicabtagene ciloleucelBiological ProductsReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID39241199
PMCPMC11952007

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.