Predictive Role of Circulating Immune Cell Subtypes Early after Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Acute Leukemia

Tae Woo Kim; Sung-Soo Park; Ji-Young Lim; Gi June Min; Silvia Park; Young-Woo Jeon; Seung-Ah Yahng; Seung-Hwan Shin; Sung-Eun Lee; Jae-Ho Yoon; Byung-Sik Cho; Ki-Seong Eom; Seok Lee; Hee-Je Kim; Chang-Ki Min

doi:10.15283/ijsc18094

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Kim, Park, Lim, Min, Park, Jeon, Yahng, Shin, Lee, Yoon, Cho, Eom, Lee, Kim, and Min: Predictive Role of Circulating Immune Cell Subtypes Early after Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Acute Leukemia

Original Article

International Journal of Stem Cells 2019; 12(1): 73-83.

Published online: 31 December 2018

DOI: https://doi.org/10.15283/ijsc18094

Predictive Role of Circulating Immune Cell Subtypes Early after Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Acute Leukemia

Tae Woo Kim¹, Sung-Soo Park¹, Ji-Young Lim¹, Gi June Min¹, Silvia Park¹, Young-Woo Jeon^1,², Seung-Ah Yahng³, Seung-Hwan Shin⁴, Sung-Eun Lee^1,², Jae-Ho Yoon^1,², Byung-Sik Cho^1,², Ki-Seong Eom^1,², Seok Lee^1,², Hee-Je Kim^1,², Chang-Ki Min^1,²

¹Department of Hematology, Seoul St. Mary’s Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea

²Leukemia Research Institute, The Catholic University of Korea, Seoul, Korea

³Department of Hematology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea

⁴Department of Hematology, Yeoido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea

Correspondence to: Chang-Ki Min, Department of Hematology, St. Mary’s Hematology Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Korea, Tel: +82-2-2258-6054, Fax: +82-2-599-3589, E-mail: ckmin@catholic.ac.kr

Received 15 October 2018 Revised 15 October 2018 Accepted 9 November 2018

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background and Objectives

Cells of innate immunity normally recover in the first weeks to months after allogenenic hematopoietic stem cell transplantation (allo-HSCT). Their relevance in terms of graft-versus-host disease (GVHD) and graft-versus-leukemia (GVL) effect is largely unknown. The predictive role of early recovery in the immune cells on acute GVHD and GVL effect after allo-HSCT was investigated in patients with acute leukemia who achieved the first complete remission.

Methods

Peripheral blood samples were taken at the median of 14 days (range, 12~29 days) after allo-HSCT. A cohort including 119 samples and characteristics of patients were analyzed. Immune cell populations were identified by flow cytometry.

Results

The median age was 49.0 years (range, 21~69) at transplantation. Univariate analysis showed that age less than 40 years old, lower frequencies of CD8⁺ T cells, invariant natural killer T (iNKT) cells, monocytic myeloid derived suppressor cells (M-MDSCs) and higher frequency of immature MDSCs were associated with occurrence of grade III–IV acute GVHD. Multivariate analyses showed that iNKT cells (hazard ratio (HR), 0.453, 95% CI, 0.091~0.844, p=0.024) and M-MDSCs (HR, 0.271, 95% CI, 0.078~0.937, p=0.039) were independent factors. Combination of higher frequencies of both cell subsets was associated with lower incidence of grade III–IV acute GVHD, whereas patients with lower frequency of iNKT cells and higher frequency of M-MDSCs showed significant higher probability of relapse.

Conclusions

iNKT cells and M-MDSCs could be relevant cell biomarkers for predicting acute GVHD and/or relapse in acute leukemia patients treated with allo-HSCT.

Keywords: Invariant NKT cells, Myeloid-derived suppressor cells, Acute leukemia, Graft-versus-host disease, Graft-versus-leukemia effect, Allogeneic hematopoietic stem cell transplantation

Introduction

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is an important therapeutic modality for malignancies of hematopoietic origin, some metastatic solid tumors, and a variety of nonmalignant diseases. The most common indications for allo-HSCT are acute leukemias including acute myeloid leukemia (AML) and adult acute lymphoblastic leukemia (ALL) who respond to induction systemic chemotherapy (1). The success of allo-HSCT depends, in large part, on the robust recovery of the lymphoid and myeloid hematopoietic system. A graft-versus-leukemia (GVL) effect gives allo-HSCT superior anti-leukemic activity, with a greater chance of maintaining remission as compared with consolidation chemotherapy (2). However, activated donor T cells within a distorted antigen-presenting cell (APC) environment in which some host APCs are replaced by donors APCs play a central role in the immunologic attack on host tissues, leading to occurrence of graft-versus-host disease (GVHD), the major complication of allo-HSCT (3). Benefit of GVL effect is limited by greater non-relapse mortality, which can be as high as 20%~30%, and the morbidity and mortality associated with GVHD (4, 5). A major goal of basic science and translational research has been to develop strategies to reduce the risk of GVHD while maintaining or enhancing GVL effect.

There are shortcomings in the prediction of GVHD and/or GVL effect, indicating the urgent need for non-invasive and reliable laboratory tests to allow tailored preemptive approach based on a precision-medicine strategy. Substantial efforts have been directed towards identifying factors including patient and donor characteristics known before allo-HSCT that are associated with increased relative risk of GVHD. Human leukocyte antigen (HLA) differences between donor and recipient are the major predictors of GVHD (6). Other implicated factors include the indication for transplant (7) patient age (8, 9), donor–recipient sex mismatch (8, 9), mismatched minor histocompatibility antigens (mHA) in otherwise identical HSCT (10), donor age (11), stem cell source and dose (12), intensity of conditioning, and GVHD prophylaxis (13, 14).

While the complexity of immunologic reconstitution is still being unraveled, studies have suggested that early hematopoietic recovery after allo-HSCT can be useful prognostic markers for HSCT outcome (15). To improve outcome predictions in individuals undergoing allo-HSCT in real time, a closer examination of the transplantation immunobiology is necessary. Many factors influencing immune reconstitution after allo-SCT have been identified, including the type of disease, degree of HLA matching between host and donor, recipient age, intensity of previous chemotherapy or the use of radiotherapy, and type and dose of drugs used in the conditioning regimen or GVHD prophylaxis (including T cell depletion) (16). We reasoned that early expansion of lymphoid and myeloid components is dependent on post-transplant immune environment, in particular, proinflammatory milieu. Therefore, recovery of each immune cell subtype at the time of engraftment might predict the occurrence of GVHD as well as leukemic relapse. To test this hypothesis, we conducted a large retrospective analysis of patients undergoing allo-HSCT for acute leukemia.

Materials and Methods

Patients and samples

Between June 2016 and January 2018, data of 157 consecutive adult (≥18 years old) patients with acute leukemia who received allo-HSCT at Seoul St. Mary’s hospital were retrospectively explored in the study. We excluded patients with following medical conditions: Patients who did not achieve complete remission (CR) before allo-HSCT (N=17), prior history of non-hematologic malignancy (N=4), patients who achieved the second CR after salvage chemotherapy (N=12), and patients who received post-transplant maintenance therapy (n=5). Therefore, cohort of 119 patients who achieved the first CR before allo-HSCT was constructed. This study was approved by the Institutional Review Board of Seoul St. Mary’s hospital and was conducted in accordance with the Declaration of Helsinki. Informed consent was obtained from all patients for being included in the study.

Transplant procedure, GVHD prophylaxis, and supportive care

Patients received either a myeloablative conditioning (MAC) or a reduced intensity conditioning (RIC) regimen according to treating physician’s decision mainly based on disease risk and comorbidities. Conditioning intensity was assessed according to Gyurkocza et al. (17). For GVHD prophylaxis, a calcineurin inhibitor (tacrolimus for unrelated or haploidentical related donor, and cyclosporine for sibling donor) was administered from day −1 in combination with a short-term course of methotrexate (5 mg/m² IV bolus on days +1, +3, +6, and +11). Exceptionally, GVHD prophylaxis in double cord blood transplant group used a combination of tacrolimus and mycophenolate mofetil instead of a short course of methotrexate. During conditioning, antithymocyte globulin (ATG, Thymoglobulin^®, Sanofi Genzyme, Lyon, France) at various doses was infused intravenously into all patients who received stem cells from haploidentical related and a subset of patients who received HSCT from sibling or unrelated donor. Use of ATG and its dose were selected according to the treating physicians’ discretions. During transplantation procedures, all patients were treated in a designated room with laminar airflow isolation. Other general supportive care including administration of G-CSF, prophylaxis of veno-occlusive disease, and administration of prophylactic antibiotics was performed as described in our previous reports (18, 19).

Identification of immune cell populations from isolated mononuclear cells

A peripheral blood sample for the analyses of immune cell populations was obtained at the median 14 days (range, 12~29 days) after HSCT. Peripheral blood mononuclear cells (MNCs) were isolated from whole blood (10 ml) collected in ETD-coated tubes by Ficoll-Paque density gradient centrifugation and were processed freshly. Forward scatter/Sideward scatter on a log scale was used for gating live cell populations in obtained samples. CD3⁺, CD4⁺ and CD8⁺ T cells, CD56⁺ cells, natural killer (NK) cells (CD3⁻CD56⁺), natural killer T (NKT)-like cells (CD3⁺CD56⁺) were analyzed serially by flow cytometry using a LSR Fortessa (BD Biosciences). Regulatory T cells (CD25⁺CD127^low in CD3⁺CD4⁺ cells) and invariant natural killer (iNKT) cells (NKT-like cells marking Vβ11⁺CD3⁺), natural-killer receptor group 2, member D (NKG2D) expression on NK or NKT-like cells and mucosal-associated invariant T (MAIT, CD161⁺Vα 7.2⁺ in CD8⁺) cells were also analyzed using flow cytometry. Myeloid-derived suppressor cells (MDSCs) were classified into two categories of immature (I-MDSCs) and monocytic (M-MDSCs) as reported previously (20). I-MDSCs were immunophenotyped as the HLA-DR⁻Lin⁻ CD11b⁺CD33⁺ populations whereas M-MDSCs were defined as the HLA-DR⁻CD14⁺ population. Each subtype of immune cells was quantitated as a percentage of MNCs (Supplementary Fig. 1).

Definition and statistical analyses

Relapse was defined as the reappearance of leukemic blasts in the peripheral blood (PB) or ≥5% infiltration of a representative bone marrow (BM) smear. Hematopoietic cell transplantation-comorbidity index (HCT-CI) was assessed according to Sorror et al. (21). Acute GVHD were diagnosed and graded according to recent consensus criteria (22). Overall survival (OS) was defined as the time from transplant to death from any cause or date of the last follow-up. Events for disease-free survival (DFS) were relapse or death. OS and DFS rates were calculated using the Kaplan-Meier method and compared using log-rank test. Treatment-related mortality (TRM) was defined as death from any cause during continuous remission. Probabilities of relapse and TRM rates were calculated by cumulative incidence estimation treating non-relapse deaths and relapse as competing risks, respectively. Cumulative incidence of GVHD was estimated considering competing risks including treating deaths, relapse, donor lymphocyte infusion, and graft failure. These cumulative incidences were compared using the Gray test. To determine the significant cut-off level for each variable of immune cell population for GVHD prediction, receiver operating characteristic (ROC) curves were generated. For confirming factors predicting development of acute grade III–IV GVHD, variables with p<0.1 in univariate analyses were entered into multivariate models with an exception for factor of donor type (sibling, unrelated, and haploidentical related). Finally, variables with p<0.1 and factor of donor type regardless of p-value were included in multivariate models using a backward stepwise model selection. All statistical analyses were conducted using R.3.1.1 statistical software (http://cran.r-progect.org/).

Results

Patients’ characteristics

The median age of patients at HSCT was 49.0 years (range, 21 to 69 years). We identified 74 (62.2%) of AML, 44 (37.8%) of ALL, 1 (0.8%) of mixed phenotype of acute leukemia. Stem cells were collected from 48 (40.3%) of matched sibling, 40 (33.6%) of unrelated, 23 (19.3%) of haploidentical related, and 8 (7.6%) of double cord donor. Except for HSCT using double cord blood, donor source included 93 (78.2%) of peripheral blood and 18 (15.1%) of bone marrow. ATG was administered in 77 (64.7%) patients with median dose of 2.5 mg/kg (range, 1.25~10 mg/kg). Regarding post-transplant immune populations, median frequencies of CD8⁺ T cells, iNKT cells, I-MDSCs, and M-MDSCs per MNCs were observed as 14.3% (range, 0.002~54.0), 0.061% (range, 0.0~8.805), 0.258% (range, 0.009~13.4) and 0.109% (range, 0.004~4.325), respectively. Other data of clinical characteristics and post-transplant immune cell populations are summarized in Table 1.

Survival and acute GVHD outcomes

After a median follow-up of 9.2 months (range, 1.2~24.9 months) for survivors, estimated OS and DFS rates at 1 years were 87.3% (95% CI, 78.5~92.7) and 83.8% (95% CI, 74.6~89.9), respectively. One-year cumulative incidences of relapse and TRM were 8.7% (95% CI, 4.2~15.4) and 7.4% (95% CI, 3.2~14.1), respectively (Supplementary Fig. 2). 180-day cumulative incidences of grades II~IV and grade III~IV acute GVHD were 35.4% (95% CI, 26.8~44.0) and 10.9% (95% CI, 6.1~17.3), respectively (Supplementary Fig. 3).

Predictive factors for acute GVHD

Univariate analysis showed that age less than 40 years old (p=0.077), lower frequencies of post-HSCT CD8⁺ T cells (≤5.8% per MNC), iNKT cells (≤0.027% per MNC), and M-MDSCs (≤0.27% per MNC), and higher frequency of I-MDSCs (>0.11% per MNC) were potential factors that increase the incidence of grade III~IV acute GVHD (Supplementary Table 1). Multivariate analyses showed that only post-HSCT iNKT cells (hazard ratio (HR), 0.453, 95% CI, 0.091~0.844, p=0.024) and post-HSCT M-MDSCs (HR, 0.271, 95% CI, 0.078~0.937, p=0.039) were independent factors affecting the incidence of grade III~IV acute GVHD (Table 2). The factor of donor type was intentionally included in multivariate analysis regardless of p value in univariate analysis. It did not affect incidence of grade III~IV acute GVHD. We analyzed the additional factors causing the changes in iNKT cells and M-MDSCs in Supplementary Table 2. No other factors among post-HSCT immune cells were identified that affected grade II~IV acute GVHD (data not shown).

Impact of post-HSCT iNKT cells and M-MDSCs on survival outcomes and acute GVHD

Effect of the two immune cell populations that were critical for grade III~IV acute GVHD on conventional transplant outcomes was assessed (Table 3). Apart from significant impacts of post-HSCT iNKT cells and M-MDSCs on grade III~IV acute GVHD, either lower frequency of iNKT cells or higher frequency of M-MDSCs had a trend of higher probability of relapse (for iNKT cells, 13.0% vs. 0.7%, p=0.08; for M-MDSCs, 3.5% vs. 13.8%, p=0.059). Except for incidence of relapse, the two subtypes of immune cells did not significantly affect the other survival outcomes including OS, DFS, and incidence of TRM.

Next, we analyzed impact of combination of post-transplant iNKT cells and M-MDSCs on grade III~IV acute GVHD and survival outcomes. Combination of higher frequencies of iNKT cells and M-MDSCs was associated with lower incidence of grade III~IV acute GVHD compared to those of lower frequencies of iNKT cells and M-MDSCs [2.8% (95% CI, 0.2~12.6) vs. 31.6% (95% CI, 12.4~52.9), p=0.002] (Fig. 1). Whereas any combination did not show significant impact on OS (p=0.696), DFS (p=0.418), or incidence of TRM (p=0.282) (Fig. 2A, B, D), the combination with lower frequency of iNKT cell and higher frequency of M-MDSCs showed significant higher probability of relapse compared to those with higher frequency of iNKT cell and lower frequency of M-MDSCs [20.9% (95% CI, 12.4~52.9) vs. 2.9% (95% CI, 0.2~12.6), p= 0.011] (Fig. 2C).

Discussion

We showed that two immune cell populations, iNKT cells and M-MDSCs, expanded shortly after clinical allo-HSCT were associated with grade III~IV acute GVHD and leukemia relapse. Higher frequency of iNKT cells in the peripheral blood of the patients post-transplantation was associated with a reduction in acute GVHD risk, importantly with a trend in reduced leukemia relapse. And the recovery of circulating M-MDSCs also was more critical to reduced occurrence of acute GVHD but there was a trend in increased leukemia relapse. Patients with lower recovery of both iNKT cells and M-MDSCs had a significantly increased grade III~IV acute GVHD, whereas interestingly the combination of higher iNKT cells and lower M-MDSCs correlated with increase enhancement of GVL effect after allo-HSCT. Therefore, potency of iNKT cells after allo-HSCT is likely to be dependent on the expansion of M-MDSCs in the context to the regulation of GVHD and GVL effec. iNKT cells are a rare subset of T lymphocytes which are characterized by the coexpression of NK and T cell markers. They express a T cell receptor (TCR) which is semi-invariant (Vα24Jα18 typically pairing with Vβ11 in humans) and which recognizes glycolipid antigens presented by the non-polymorphic MHC Class I-like molecule CD1d with high affinity (23). Despite their rarity, iNKT cells exert potent immunomodulatory functions bridging the innate and adaptive immune systems by rapidly producing large amounts of cytokines and chemokines. This results either in enhanced immune responses (i.e., defense against pathogens, immunosurveillance in cancer) via the production of Th1 cytokines such as interferon (IFN)-γ or in suppression of autoimmune and alloimmune reactions by the production of interleukin (IL)-4 and IL-10 (24, 25). First human report delineating iNKT reconstitution following allo-HSCT demonstrated a correlation between increased peripheral blood iNKT cell count and reduced acute and chronic GVHD (26). Early post-transplantation iNKT recovery such as iNKT/T ratio at day 15 predicted acute GVHD and OS (27). It has been reported that recovery of iNKT cells is also associated with enhanced GVL effect (28, 29), suggesting that monitoring of iNKT cell reconstitution post-transplant and adoptively transferring donor iNKT cells may be a method by which relapse could be prevented (30).

MDSCs, morphologically a mixture of monocytic and granulocytic cells, accumulate in large numbers during many pathologic conditions, including cancer, infectious diseases, trauma, or sepsis. They are characterized by their myeloid origin, immature state, and most importantly by their potent ability to suppress different aspects of immune responses, especially T-cell proliferation and cytokine production (31). We previously showed that two main subgroups of MDSCs differentially expanded shortly after clinical allo-HSCT and increased expansion of M-MDSCs was more critical to the occurrence of early infections, 1-year TRM and lower survival (32).

In this study, we demonstrate the possibility that circulating iNKT cells cooperate with M-MDSCs in protecting patients with acute leukemia against the development of grade III~IV acute GVHD and leukemia relapse after allo-HSCT. Several studies have proposed a link between iNKT cells and MDSCs. In mice, MDSC activation was dependent on the presence of host iNKT cells. The conditioning regimen polarized the host iNKT cells toward IL-4 secretion, and MDSC activation was dependent on IL-4 (33). NKT cell activation via glycolipid-loaded den-dritic cells decreased the frequency and immunosuppressive activity of MDSCs in tumor-resected mice. In vitro, NKT cells were resistant to the immunosuppressive effects of MDSCs and were able to reverse the inhibitory effects of MDSCs on T cell proliferation (34). iNKT cells have been shown to regulate MDSC-mediated immune suppression during viral infection (35), suggesting that the interaction between iNKT cells and M-MDSCs on leukemia-associated immunosuppression in the context of allo-HSCT requires further investigation.

We acknowledge that the single institution and measurements only at one point are inherent flaws of our study, although these limitations are mitigated to some degree by the relatively large size of the cohort. Our measurement time point was supported in analyses looking at the recovery of innate immunity over time, which both subsets of immune cells, iNKT cells and M-MDSCs maximally recovered between 2 and 4 weeks, well before the recovery of adaptive immunity (36). In the TCR α chain of human iNKT cells, the Vα24 segment is joined with Jα18 in a germ-line configuration, resulting in an invariant CDR3 loop encoded by the mature TCR α chain (37). This α chain pairs with a restricted range of randomly rearranged Vβ chains, with Vβ11 being the most prominent in humans (38). In our study, iNKT cells were identified with the expression of CD3, CD56 and antiTCRVβ11. Non-invariant and non-CD1d-restricted V α24⁺ T cells can also pair with Vβ11, and contribute to the Vα24⁺/Vβ11⁺ subpopulation. This could lead to an overestimation of iNKT cell number, especially in individuals with decreased number of iNKT cells. Of note, in our study significant change in TRM, DFS or OS was not noted in spite of reduced acute GVHD and leukemia relapse. Our observations should be interpreted with some caution until it is validated in a large independent cohort with long-term follow-up.

In summary, iNKT cells and M-MDSCs in peripheral blood early after transplantation can be attractive biomarkers to predict allo-HSCT outcomes including acute GVHD and leukemia relapse. Although rare in number, circulating iNKT cells and M-MDSCs may represent the most versatile and critical cell population for suppressing acute GVHD. In particular, iNKT cells can thus be harnessed to suppress undesirable allo-immune responses while maintaining desirable GVL effect together with reduced M-MDSCs.

Supplementary Information

IJSC-12-073_suppl.pdf

Acknowledgments

This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Walfare, Republic of Korea (#HI16C0047).

Notes

Potential Conflict of Interest

The authors have no conflicting financial interest.

Supplementary Materials

Supplementary data including two tables and three figures can be found with this article online at http://pdf.medrang.co.kr/paper/pdf/IJSC/IJSC-11-s18094.pdf.

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Fig. 1

Cumulative incidence of grade III–IV acute GVHD accoring to the combinations of frequency of invariant natural killer cells (iNKT) and monocytic myeloid-derived suppressor cell population (M-MDSC). Black line, lower iNKT (≤ 0.027%) + lower M-MDSC (≤ 0.27%), n=19; Red line, lower iNKT (≤ 0.027%) + higher M-MDSC (> 0.27%), n=20; Green line, higher iNKT (> 0.027%) + lower M-MDSC (≤ 0.27%), n=42; Blue line, higher iNKT (> 0.027%) + lower M-MDSC (> 0.27%), n=36.

Fig. 2

Major outcomes accoring to the combinations of frequency of invariant natural killer cells (iNKT) and monocytic myeloid-derived suppressor cell population (M-MDSC). Black line, lower iNKT (≤ 0.027%) + lower M-MDSC (≤ 0.27%), n=19; Red line, lower iNKT (≤ 0.027%) + higher M-MDSC (> 0.27%), n=20; Green line, higher iNKT (> 0.027%) + lower M-MDSC (≤ 0.27%), n=42; Blue line, higher iNKT (> 0.027%) + lower M-MDSC (> 0.27%), n=36. (A) Overall survival, (B) disease-free survival, (C) cumulative incidence of relaspse, and (D) cumualtive incidence of transplant-related mortality (TRM).

Table 1

Patient characteristics

Variables	Total patient (N=119)
Median patient’s age at transplant, years (range)	46 (21~69)
Median donor’s age, years (range)	35 (14~63)
Gender of patient, male (N, %)	61 (51.3)
Gender of donor, male (N, %)	83 (69.7)
Female to male transplant (N, %)	19 (16.0)
Not available to evaluate (heterogeneous sex in double cord donor) (N, %)	5 (4.2)
Diagnosis
Acute myeloid leukemia (N, %)	74 (62.2)
Acute lymphoblastic leukemia (N, %)	44 (37.8)
Mixed phenotype acute leukemia (N, %)	1 (0.8)
Donor type
HLA-well matched sibling (N, %)	48 (40.3)
HLA-well matched unrelated (N, %)	37 (31.1)
HLA-partial matched unrelated (N, %)	3 (2.5)
Haploidentical related (N, %)	23 (19.3)
Double cord (N, %)	8 (7.6)
Donor source
Peripheral blood	93 (78.2)
Bone marrow	18 (15.1)
Cord blood	8 (6.7)
Comorbidity (HCT-CI*)
Low to intermediate (score <3) (N, %)	81 (68.1)
High (score ≥3) (N, %)	38 (31.9)
Conditioning intensity
Myeloablative conditioning (N, %)	84 (70.6)
Total body irradiation 1320 cGy+cyclophosphamide 120 mg/kg	57 (47.9)
Total body irradiation 1200 cGy+fludarabine 150 mg/m²+cytaratbine 9.0 mg/m²	7 (5.9)
Fludarabine 150 mg/m²+busulfex 9.6 mg/kg	14 (11.8)
Busulfex (12.8 mg/kg)+cyclophosphamide 120 mg/kg	6 (5.0)
Reduced intensity conditioning (N, %)	35 (29.4)
Total body irradiation 800 cGy+fludarabine 150 mg/m²+busulfex 6.4 mg/kg	19 (16.0)
Total body irradiation 800 cGy+fludarabine 150 mg/m²+cytaratbine 9.0 mg/m²	1 (0.8)
Total body irradiation 400 cGy+fludarabine 150 mg/m²+busulfex 6.4 mg/kg	12 (10.1)
Fludarabine 150 mg/m²+busulfex 6.4 mg/kg	3 (2.5)
Antithymocyte globulin
None	42 (35.3)
1.25~2.5 mg/kg	46 (38.7)
5.0~10.0 mg/kg	31 (26.1)
Median infused donor CD34⁺Cells at HSCT, ×10⁶/kg (range)	5.7 (0.1~21.1)
Median infused donor CD3⁺Cells at HSCT, ×10⁶/kg (range)	339.9 (2.9~901.4)
Graft-versus-host disease prophylaxis
Methotrexate+cyclosporine	45 (37.8)
Methotrexate+tacrolimus	66 (55.5)
Mycophenolate mofetil+tacrolimus	8 (6.7)
Post-transplant immune cell population, median frequency, %/MNC (range)
CD3+T cells, N=117	26.8 (0.218~88.3)
CD4+T cells, N=119	4.39 (0.002~54.0)
CD8+T cells, N=119	14.3 (0.107~56.7)
CD56+cells, N=117	4.757 (0.0~28.002)
Natural killer cells (CD3⁻CD56⁺), N=117	8.1 (0.0~62.0)
NKT-like cells (CD3⁺CD56⁺), N=117	2.63 (0.004~20.6)
Regulatory T cells (CD25⁺CD127^low in CD3⁺CD4⁺cells), N=76	0.898 (0.0~22.996)
invariant NKT cells (iNKT cells, Vβ11⁺CD3⁺), N=117	0.061 (0.0~8.805)
NKG2D expression on NK cells, N=117	5.617 (0.025~40.906)
NKG2D expression on NKT-like cells, N=117	1.182 (0.0~11.921)
MAIT cells (CD8⁺CD161⁺Vα7.2⁺), N=119	0.429 (0.003~1.701)
G-MDSC (HLA-DR⁻LIN⁻CD11b⁺CD33⁺), N=119	0.258 (0.009~13.4)
M-MDSC (HLA-DR⁻CD14⁺), N=119	0.109 (0.004~4.325)

HCT-CI: hematopoietic cell transplantation-comorbidity index, HSCT: hematopoietic stem cell transplantation, MNC: mononuclear cell, NKT: natural killer T cell, NKG2D: natural killer group 2, member D, MAIT: mucosal associated invariant T cell, MDSC: myeloid-derived suppressor cell.

^* HCT-CI was defined by Sorror et al. (21).

Table 2

Multivariate analysis to identify factors affecting grade III–IV acute GVHD

Variables	Grade III–IV acute GVHD

	HR (95% CI)	p
Patient age (years, <40 vs. ≥40)	0.378 (0.129~1.109)	0.076
Donor type (sibling, unrelated, haploidentical related, double cord)	0.909 (0.41~2.012)	0.81
Post-HSCT CD8+ T cells (%/MNCs, ≤5.8 vs. >5.8)	0.453 (0.139~1.41)	0.19
Post-HSCT iNKT cells (%/MNCs, ≤0.027 vs. >0.027)	0.277 (0.091~0.844)	0.024
Post-HSCT I-MDSCs (%/MNCs, ≤0.11 vs. >0.11)	2.825 (0.848~9.417)	0.091
Post-HSCT M-MDSCs (%/MNCs, ≤0.27 vs. >0.27)	0.271 (0.078~0.937)	0.039

GVHD: graft-versus-host disease, HSCT: hematopoietic stem cell transplantation, MNCs: mononuclear cells, iNKT cells: invariant natural killer cells, I-MDSCs: immature myeloid-derived suppressor cells, M-MDSCs: monocytic myeloid-derived suppressor cells.

Table 3

Overall outcomes according to immune cells affecting GVHD-free, relapse-free survival

Variables	Overall survival at 1 year (95% CI)	p-value	Disease-free survival at 1 year (95% CI)	p-value	Cumulative incidence of relapse at 1 years (95% CI)	p-value	Cumulative incidence of treatment-related mortality at 1 years (95% CI)	p-value
iNKT cells		0.408		0.169		0.08		0.975
(NKT-like cell marking
V β 11⁺CD3⁺)
≤0.027	83.7% (64.5~93.0)		79.6% (61.4~89.9)		13.0% (4.7~25.8)		7.3% (1.2~21.3)
>0.027	89.0% (78.0~94.7)		85.7% (73.7~92.5)		0.7% (2.1~16.1)		7.3% (2.6~15.1)
M-MDSCs (HLA-DR⁻CD14⁺)		0.984		0.35		0.059		0.412
≤0.27	85.7% (70.2~93.5)		86.4% (71.4~93.9)		3.5% (0.6~11.0)		10.0% (3.0~22.2)
>0.27	88.2% (75.5~94.5)		80.7% (66.8~89.3)		13.8% (5.9~25.1)		5.5% (1.4~13.8)

GVHD: graft-versus-host disease, iNKT cells: invariant natural killer cells, M-MDSCs: monocytic myeloid-derived suppressor cells.

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