Shift toward more naïve phenotype of the T cell compartment in patients with aggressive B cell non-Hodgkin lymphoma undergoing high-dose methotrexate therapy
Abstract
Abstract Introduction: Immunotherapies such as bispecific antibodies (BsAbs) and chimeric antigen receptor T cell therapy (CAR-T) harness the immune system, particularly T cells, to target malignant cells. Currently approved only for second- and later-line treatment, holding and bridging therapies are frequently used during CAR-T cell preparation. Holding therapy is administered before apheresis for CAR-T production, while bridging therapy is administered after apheresis, prior to CAR-T reinfusion. However, the long-term effects of commonly used chemotherapeutics on T cell function – especially regarding CAR-T cell manufacturing and BsAb efficacy – remain poorly understood. More specifically, effects of high-dose methotrexate (MTX) have not been investigated yet. Because MTX is frequently used as holding or bridging therapy before CAR-T in CNS lymphoma, we aimed to characterize the effects of high dose MTX on the T cell compartment. Methods: Peripheral blood samples were collected from patients with newly diagnosed, relapsed, or progressive aggressive B-NHL undergoing either MTX-based or non-MTX-based therapy. Sampling was performed as baseline before therapy start and on day 10 – 17 after cycle 1 (c1) and cycle 2 (c2). At baseline, the MTX-group included n = 6 patients (median age: 70.5, male (m): 4) and the non-MTX group n = 5 (median age: 72, m: 3). At c1, MTX: n = 9 (69, m: 4), non-MTX: n = 14 (70, m: 11). At c2, MTX: n = 7 (63, m: 5), non-MTX: n = 7 (72, m: 3). The CD3+CD4+ and CD3+CD8+ T cell phenotypes were determined by flow cytometry. Maturation stages were analyzed using CD45RA and CCR7 antibody staining to distinguish between naïve and stem cell memory (naïve&SCM, CCR7+CD45RA+), central memory (CM, CCR7+CD45RA-), effector memory (EM, CCR7-CD45RA-) and terminal effector (Eff, CCR7-CD45RA+) T cells; CD27 and CD28 were used to determine the differentiation stages of naïve, undifferentiated T cells (CD27+CD28+) and senescent, cytotoxic effector cells (CD27-CD28-). CD3+ T cell subset distributions were then compared between both treatment groups. Statistical analysis was performed using Mann-Whitney U test. Results: Flow cytometry revealed no significant differences in the CD4+ and CD8+ T cell subsets at baseline for patients treated with high-dose MTX compared to those receiving non-MTX-based therapy. In comparison to this, MTX-based treatment was associated with a higher proportion of CD4+ and a lower proportion of CD8+ T cells in c1 (MTX: 86.90%/6.62% vs. non-MTX: 70.49%/21.43%; p = 0.015/0.018, all for CD4+/CD8+ cells, respectively). There was also a trend toward a more immature CCR7+ naïve&SCM and CM phenotype, increased naïve CD27+CD28+ T cells, and reduced EM and senescent CD27-CD28- cells in both CD4+ and CD8+ subsets. This shift was significant in CCR7+ CD4+ and CD8+ compartments in c1 and c2 (c1: MTX: 67.50%/22.28% vs. non-MTX: 40.72%/5.58%; p = 0.047/0.018; c2: MTX: 74.14%/32.61% vs. non-MTX: 49.12%/6.73%; p = 0.026/0.037). In c1, this shift was also present in CD27+CD28+ CD4+ T cells (MTX: 60.87% vs. non-MTX: 29.80%; p = 0.034), in naïve&SCM CD8+ T cells (MTX: 19.09% vs. non-MTX: 3.57%; p = 0.018) and in both, CD4+ and CD8+ CM T cells (MTX: 26.62%/3.73% vs. non-MTX: 21.90%/1.03%; p = 0.015/0.025). Reductions in CD4+ EM (MTX: 20.32% vs. non-MTX: 46.23%; p = 0.034) and in CD8+CD27-CD28- compartments (MTX: 39.35% vs. non-MTX: 70.66%; p = 0.029) were also significant. Outlook: Our data indicate a shift toward a more naïve T cell phenotype following MTX-based therapy, which may enhance the efficacy of CAR-T cells after MTX-based holding therapy. This supports the potential use of MTX as a holding therapy prior to apheresis in CNS lymphoma patients intended for CAR-T treatment. Further validation in larger cohorts, including CAR-T product and expansion data, is warranted. An updated dataset will be presented at the meeting.
Article Details
Authors (8)
Vanessa Ridder
1Department of Hematology and Stem Cell Transplantation, West German Cancer Center and German Cancer consortium (DKTK partner site Essen), University Hospital Essen, University of Duisburg-Essen, Essen, Germany, Essen, Germany
Keven Hoerster
1Department of Hematology and Stem Cell Transplantation, West German Cancer Center and German Cancer consortium (DKTK partner site Essen), University Hospital Essen, University of Duisburg-Essen, Essen, Germany, Essen, Germany
Sophie Nickel
1Department of Hematology and Stem Cell Transplantation, West German Cancer Center and German Cancer consortium (DKTK partner site Essen), University Hospital Essen, University of Duisburg-Essen, Essen, Germany, Essen, Germany
Philip Ridder
2Knappschaft Kliniken University Hospital Bochum, Center for Artificial Intelligence, Medical Informatics and Data Science, Bochum, Germany
Marcel Teichert
1Department of Hematology and Stem Cell Transplantation, West German Cancer Center and German Cancer consortium (DKTK partner site Essen), University Hospital Essen, University of Duisburg-Essen, Essen, Germany, Essen, Germany
Joe Puthenparambil
1Department of Hematology and Stem Cell Transplantation, West German Cancer Center and German Cancer consortium (DKTK partner site Essen), University Hospital Essen, University of Duisburg-Essen, Essen, Germany, Essen, Germany
Hans Christian Reinhardt
Bastian von Tresckow
1Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Department I of Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, and German Hodgkin Study Group, Cologne, Germany