Metabolic pathway signatures unpinning response to CD19 CAR T-cell therapy in aggressive B-cell non-Hodgkin's lymphoma

M Melinda Tan (1Mayo Clinic, Rochester, United States) P Patrizia Mondello (1Mayo Clinic, Rochester, United States) A Andre De Menezes Silva Corraes (1Mayo Clinic, Hematology, Rochester, United States) P Panwen Wang (1Mayo Clinic, Hematology, Rochester, United States) J Jacqueline Turner (1Mayo Clinic, Rochester, United States) C Chen Wu Z Zuoyi Shao (1Mayo Clinic, Rochester, United States) K Kevin Regan (1Mayo Clinic, Rochester, United States) A Audrey Ma (1Mayo Clinic, Rochester, United States) A Arushi Khurana (2Mayo Clinic, Rochester, United States) N N. Nora Bennani (2Mayo Clinic, Rochester, United States) Y Yucai Wang (State Key Laboratory of Immune Response and Immunotherapy, Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine) P Paul Hampel (1Mayo Clinic, Rochester, United States) J Jonas Paludo (1Mayo Clinic, Rochester, United States) S Saad Kenderian (1Mayo Clinic, Department of Immunology, Rochester, United States) U Urshila Durani (1Division of Hematology, Mayo Clinic, Rochester, MN) P Patrick Johnston (1Mayo Clinic, Hematology, Rochester, United States) J Jose Villasboas Bisneto (1Mayo Clinic, Rochester, United States) S Stephen Ansell (1Mayo Clinic, Rochester, United States) H Hu Zeng (1Mayo Clinic, Rochester, United States) H Haidong Dong Y Ying Li Y Yi Lin

Abstract

Abstract Chimeric antigen receptor (CAR) T-cell therapy has demonstrated remarkable response rates in relapsed/refractory aggressive B-cell non-Hodgkin's lymphoma. However, durable remissions occur in only 40% of treated patients, highlighting mechanisms of therapeutic resistance and immune escape. While cytotoxicity is principally executed by CAR T-cells, monocytes shape CAR-T cell efficacy and orchestrate cytokine-driven immunity. In this study, we defined distinct metabolic profiles of T-cell and monocyte subsets based on clinical response.   Single-cell RNA sequencing (scRNA-seq) and T-cell receptor sequencing (scTCR-seq) were performed on peripheral blood mononuclear cells at three timepoints: before lymphodepletion (BL), at peak CAR-T expansion (PK), and one-month post-infusion (M1). Data were processed with CellRanger v7.0.1 and analyzed with the immunopipe pipeline (Wang et al., 2025). Seurat v4.3.0 was utilized for unsupervised hierarchical clustering analysis; subsets identified included classical monocytes (CM), intermediate monocytes (IM), non-classical monocytes (NM), and monocytic myeloid derived suppressor cells (mMDSC). Metabolic profiles were compared across patients achieving ≥6-month complete remission (CR, n=16), primary refractory disease (PD1, n=4), or relapsed after a prior response (PD2, n=12). A total of 107035 T cells and 129981 monocytes from 77 serial samples in 32 patients were analyzed. CR patients had a higher T-cell:monocyte ratio than PD1/PD2 at all time points, especially at BL and PK (BL 1.2 vs 0.4, p=0.011; PK 1.3 vs 0.3, p=0.027). Clinical responses were compared with metabolic pathway analysis and identified oxidative phosphorylation (OXPHOS) as the dominant pathway. OXPHOS was consistently enriched in PD cohorts across T-cell subsets, particularly in PD1 vs CR at BL (mucosal-associated invariant T-cell (MAIT) and T peripheral memory (Tpm)), and at PK (CD4/CD8 memory precursor effector cells (MPEC) and activated MPECs (MPECa), CD4 T-helper 1 proliferating (Th1p), CD4 Th2 activated (Th2a), regulatory T-cell (Treg), CD8 naive senescent (CD8NS), CD8 T effector memory (Tem) tumor recirculating (TR), CD8 Tpm, CD8 T resident memory (Trm) TR and MAIT Tpm). By M1, OXPHOS enrichment in CD4/CD8MPECa, CD4Th2a, CD8NS, CD8TemTR reversed, now predominant in CR although CD8Tpm and CD8TrmTR remained enriched in PD1. In the monocyte subsets at BL, PD2 showed OXPHOS enrichment in CD163+ monocytes (mono), IM IL1, mMDSC SIRPA, mMDSC TGFβ, and CM IL6 subsets compared to PD1 and CR, while PD1 showed OXPHOS enrichment in IM CD38, CM TGFβ, and mMDSC HIF1A vs CR and PD2. This persisted at PK. By M1, the pattern reversed and mirrored that of T-cells, with CR patients showing OXPHOS enrichment in CD163+mono, CM IL6, CM TGFβ, IM CD38, mMDSC HIF1A, mMDSC SIRPA and mMDSC TGFβ, and additionally in CM EMT, CM p53, NM, NM CD36 vs PD1/PD2. Glycolysis/gluconeogenesis (GLY) was also enriched across subsets. In T-cells, PD1 vs CR showed GLY enrichment in CD4Th2a, CD8Tpm, CD8Tpm proliferating and MAIT Tpm at PK. In monocytes, GLY was enriched in PD1/2 vs CR at BL (CD163+mono, CM IL6) and PK (CD163+mono, IM CD18, mMDSC SIRPA). By M1, GLY metabolism was enriched in CR vs PD1/PD2 in CD163+mono, CM IL6, mMDSC SIRPA. Additional GLY enriched subsets at CR vs PD1 included CM, CM p53, EMT, IM CD38, IM IL1, mMDSC HIF1A, NM, NM CD36. Inositol phosphate metabolism (IP) was predominantly enriched in PD2 vs CR at BL (CD8NS, CD8Tcm, CD8Tpm activated), PK (CD4Th2, CD8NS, CD8Tem TR, CD8Tpm proliferating, γδT Tem) and M1 (CD4/CD8 MPECa, CD4 Th1/Th2, CD8NS, CD8Tpm, CD8 Tpm proliferating, Treg and MAIT Tpm). Notably, Treg was the only T-cell subset enriched for IP at PK in CR vs PD1/PD2. Additionally, the TCA cycle was enriched in PD1 Tregs and Th2 cells at BL and PK vs CR/PD2. A higher T-cell:monocyte ratio in CR vs PD1/PD2 supports prior evidence that elevated pre-lymphodepletion lymphocyte:monocyte ratios predict better outcomes. We identified distinct metabolic signatures in T-cells and monocytes between CR and PD1/PD2. OXPHOS enrichment in T-cells and monocytes at M1 in CR patients may reflect oxidative programming as a hallmark of sustained anti-tumor immunity. Conversely, GLY enrichment in PD1 T-cells at PK may reflect short-lived effector states lacking persistence. Overall, these findings highlight metabolic profiling as a promising predictive biomarker and therapeutic programming target to enhance CAR T-cell outcomes.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 5894-5894
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (23)

M

Melinda Tan

1Mayo Clinic, Rochester, United States

P

Patrizia Mondello

1Mayo Clinic, Rochester, United States

A

Andre De Menezes Silva Corraes

1Mayo Clinic, Hematology, Rochester, United States

P

Panwen Wang

1Mayo Clinic, Hematology, Rochester, United States

J

Jacqueline Turner

1Mayo Clinic, Rochester, United States

C

Chen Wu

Z

Zuoyi Shao

1Mayo Clinic, Rochester, United States

K

Kevin Regan

1Mayo Clinic, Rochester, United States

A

Audrey Ma

1Mayo Clinic, Rochester, United States

A

Arushi Khurana

2Mayo Clinic, Rochester, United States

N

N. Nora Bennani

2Mayo Clinic, Rochester, United States

Y

Yucai Wang

State Key Laboratory of Immune Response and Immunotherapy, Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine

P

Paul Hampel

1Mayo Clinic, Rochester, United States

J

Jonas Paludo

1Mayo Clinic, Rochester, United States

S

Saad Kenderian

1Mayo Clinic, Department of Immunology, Rochester, United States

U

Urshila Durani

1Division of Hematology, Mayo Clinic, Rochester, MN

P

Patrick Johnston

1Mayo Clinic, Hematology, Rochester, United States

J

Jose Villasboas Bisneto

1Mayo Clinic, Rochester, United States

S

Stephen Ansell

1Mayo Clinic, Rochester, United States

H

Hu Zeng

1Mayo Clinic, Rochester, United States

H

Haidong Dong

Y

Ying Li

Y

Yi Lin