- Academic Editor
†These authors contributed equally.
Background: Chimeric antigen receptor (CAR) T-cell therapy carries the risk of inducing severe and life-threatening toxicities such as cytokine release syndrome (CRS), neurotoxicity, and infection. Although CRS and infections have similar symptoms, their treatment strategies differ, and early diagnosis is very important. For CRS and infections, the fastest detection time currently takes more than 24 h, so a quick and simple method to identify a fever after CAR T-cell infusion is urgently needed. Methods: We enrolled 27 patients with recurrent fever treated with different types of CAR T-cells, including cluster of differentiation (CD) 7, CD19, CD22, and CD19-CD22 bicistronic CAR T-cells, and evaluated the infection events occurring in these patients. We detailed the morphology of CAR T-cells in peripheral blood smears (PBS) and reported the infection events, CAR transgene copy number, and inflammatory indicators within the first month after treatment. Results: Similar morphological characteristics were observed in the PBS of different CAR T-cells, namely, enlarged cell bodies, deep outside and shallow inside basophilic blue cytoplasm, and natural killer (NK) cell-like purplish red granules. There were ten infections in nine of the twenty-seven patients (33%). The percentage of atypical lymphocytes in PBS was significantly associated with CAR transgene copy number and absolute lymphocyte count in all patients. The atypical lymphocyte percentage was significantly higher in the non-infection group. Conclusions: In conclusion, the unique morphology of CAR T-cells in PBS can be used to evaluate CAR T-cell kinetics and provide reliable evidence for the rapid early identification of fever after CAR T-cell infusion. Clinical Trial Registrations: ChiCTR-OPN-16008526; ChiCTR-OPN-16009847; ChiCTR2000038641; NCT05618041; NCT05388695.
The emergence of chimeric antigen receptor (CAR) T-cell therapy has significantly revolutionized the current treatment paradigm, providing a highly promising alternative for individuals suffering from refractory or relapsed B-cell non-Hodgkin lymphoma and B-cell acute lymphoblastic leukemia (r/r B-ALL) [1, 2, 3]. However, despite the remarkable efficacy of CAR T-cell therapy, CAR T-cell recipients are highly susceptible to infection, which affects their prognosis due to many insults to immune function, including the malignancy, prior cytotoxic treatments, and the on-target-off-tumor effects of CAR T-cells [4, 5, 6]. Cytokine release syndrome (CRS) is the most common toxicity; the clinical presentations of CRS are typically characterized by fever, hypotension, and respiratory insufficiency, which are hard to distinguish from severe infection [7, 8, 9]. Clinically, rapid disease change is usually observed after CAR T-cell infusion and some of them develop seriously, especially grade 3–4 CRS, whereas the results of CAR transgene copy number require 24–48 h, which is obviously not enough to meet urgent clinical needs. Although CRS can be successfully managed with interleukin-6 (IL-6) receptor monoclonal antibodies or corticosteroids, these drugs can also increase the incidence of infection [10, 11, 12]. Thus, the early identification between CRS and infections is important for providing appropriate management and improving the clinical outcome of these patients.
Current methods to diagnose infection complications in CAR T-cell recipients, including culture and non-culture-based methods such as nucleic acid detection/metagenomic next-generation sequencing (mNGS) and antigen detection by conventional serological antibody assays, are often time-consuming and expensive [13, 14, 15]. Analysis of peripheral blood smears (PBS) is a widely accepted and reliable diagnostic method in laboratory settings, enabling the rapid preliminary diagnosis of numerous hematological disorders [16, 17, 18]. By detecting the characteristic footprints left by various infections on blood cell morphology, analysis of PBS can quickly provide valuable information on infection [19, 20, 21]. Recently, it was reported that morphology or CAR T-cells in PBS can provide important clues to assess their kinetics [22, 23]. The morphology of CAR T-cells is very important, especially the atypical characteristics of the activation state, which are similar to the non-specifically activated T cells seen in some infections. However, few data are available on the morphological characteristics of CAR T-cells after infusion in humans, especially for distinguishing infections. In this study, we investigated the characteristics of CAR T-cells in PBS when the recipients had a fever after CAR T-cell infusion, preliminarily to distinguish CRS from infection, and combined a conventional pathogen detection method with mNGS to investigate the cause of fever.
From May 2019 through November 2022, 27 patients (r/r B-ALL, n = 6; r/r T-cell ALL (T-ALL), n = 1; and r/r diffuse large B cell lymphoma (r/r DLBCL), n = 20) with recurrent fever (defined as a body temperature above 38 °C at least twice in the first month after CAR T-cell infusion) following CAR T-cell therapy within 1 month were enrolled (Supplementary Fig. 1). The 27 patients were enrolled from the five ongoing clinical trials (NCT05388695, NCT05618041, ChiCTR-OPN-16009847, ChiCTR-OPN-16008526, ChiCTR2000038641). The patients were tested for potential infections and were classified into two groups according to whether there were infection events after CAR T-cell infusion. Detailed patient and laboratory characteristics are listed in Table 1.
Baseline characteristic | Total (n = 27) | Any infections (n = 9) | No infection (n = 18) | p-value | |
Age [years, median (range)] | 39 (7–66) | 33 (24–66) | 41 (7–52) | 0.6581 | |
Female [cases (%)] | 9 (33%) | 5 (56%) | 4 (22%) | 0.1085 | |
Pathologic subtype [cases (%)] | |||||
DLBCL | 20 (74%) | 7 (78%) | 13 (72%) | ||
B-ALL | 6 (22%) | 2 (22%) | 4 (22%) | ||
T-ALL | 1 (4%) | 0 (0%) | 1 (6%) | ||
Therapy | |||||
CAR T-cell type | |||||
CD19 CAR T-cell | 10 (37%) | 2 (22%) | 8 (44%) | 0.4059 | |
CD22 CAR T-cell | 1 (4%) | 0 (0%) | 1 (6%) | ||
CAR19/22 ‘Cocktail’ | 11 (41%) | 6 (67%) | 5 (28%) | 0.0969 | |
CD19XCD22 Bicistronic CAR T-cell | 4 (15%) | 1 (11%) | 3 (17%) | ||
CD7 CAR T-cell | 1 (4%) | 0 (0%) | 1 (6%) | ||
Auto-HSCT + CAR T-cell | |||||
Yes | 20 (74%) | 7 (78%) | 13 (72%) | ||
No | 7 (26%) | 2 (22%) | 5 (28%) | ||
Post-CAR T-cell characteristic | |||||
CRS grade [cases (%)] | |||||
1–2 | 20 (74%) | 7 (78%) | 13 (67%) | ||
3–5 | 7 (26%) | 2 (22%) | 5 (31%) | ||
ICANS grade [cases (%)] | |||||
0 | 19 (70%) | 6 (67%) | 13 (67%) | ||
1–2 | 6 (22%) | 2 (22%) | 4 (22%) | ||
3–4 | 2 (7%) | 1 (11%) | 1 (6%) | ||
Characteristic in PBS time points | |||||
Days after CAR T-cell infusion (mean |
9.3 |
10.7 |
8.6 |
0.0716 | |
First fever days (mean |
3.8 |
3.9 |
3.7 |
0.7296 | |
Fever |
38.5 |
38.3 |
38.6 |
0.2661 | |
White blood cell count (×10 |
1.8 |
1.7 |
1.9 |
0.9799 | |
Absolute lymphocyte count (×10 |
0.8 |
0.8 |
0.9 |
0.9698 | |
Atypical lymphocytes (%, mean |
22.5 |
12.2 |
27.6 |
0.0247 | |
Atypical lymphocytes count (×10 |
0.5 |
0.2 |
0.6 |
0.2979 | |
Peak CAR transgene copy number (Copies/µg DNA, mean |
39,448 |
32,481 |
43,735 |
0.5321 | |
Ferritin |
7771 |
12,961 |
5176 |
0.7334 | |
IL-6 |
73.3 |
81.2 |
32.0 |
0.0155 | |
IL-1 |
6.1 |
6.1 |
6.1 |
0.5715 | |
IL-2R |
3404.6 |
2673.3 |
3745.9 |
0.2400 | |
IL-8 |
83.23 |
120.6 |
65.8 |
0.1417 | |
IL-10 |
27.25 |
36.8 |
22.8 |
0.2636 | |
TNF- |
61.3 |
22.5 |
79.5 |
0.4016 | |
CRP |
60.4 |
76.6 |
52.3 |
0.4327 | |
PCT |
0.5 |
0.4 |
0.6 |
0.7493 |
The inclusion criteria of this study were as follows: (i) patients aged 18 years or older who had received CAR T-cell therapy in the past 31 days; (ii) patients without any unresolved infection for at least 1 month before starting treatment; and (iii) patients who experienced recurrent fever after CAR T-cell infusion. Prior to the infusion of CAR T-cells, all patients underwent disease evaluation through peripheral blood (PB) and bone marrow (BM) assessments. Immediately before administering CAR T-cell infusion, a disease assessment was performed in all patients using PB and BM evaluations. Antimicrobial prophylaxis was initiated alongside chemotherapy and maintained until blood count recovery or if a switch to an alternative therapeutic approach was required based on institutional guidelines. The five ongoing clinical trials in this study were approved by the institutional review board. This retrospective study was approved by the Medical Ethics Committee of the Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology and Department of Hematology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi. In strict accordance with the principles outlined in the Declaration of Helsinki, written informed consent was obtained from each individual involved in the study.
The criteria for infection were defined as patients of any age confirmed to
carry a pathogen either by culture or non-culture-based method, including nucleic
acid detection/mNGS or antigen detection by conventional serological antibody
assays combined with relevant clinical signs and symptoms. The criteria for the
positive detection of microbes by mNGS have been previously described [15]. A
microbe detection was deemed positive if: (1) the read number ranked within the
top for 10 bacteria/viruses/parasites and exhibited a fold change
Hematology laboratory data obtained from medical records following CAR T-cell infusion included age, sex, treatment history, CRS, therapeutic responses, complete blood count (CBC), CAR transgene copy number, flow cytometry data, and inflammatory indicators (ferritin, IL-6, C-reactive protein (CRP), procalcitonin (PCT)). Wright Giemsa-stained PBS was screened by a board-certified hematopathologist. In patients with recurrent fever, multiple PBS were performed.
Quantification of CAR T gene copy numbers was performed using droplet digital PCR (ddPCR; Bio-Rad, Hercules, CA, USA) before the infusion of CAR T-cells and at multiple time points afterward, in accordance with a standard protocol [26]. We utilized the Quantalife QX200 Droplet Digital PCR system (Bio-Rad) to analyze and amplify the reaction mixture consisting of 2X ddPCR Supermix (Bio-Rad), fluorescently labeled primers and probes, and DNA template. Following amplification, the plate was processed using the QX200 Droplet Reader (Bio-Rad, Hercules, CA, USA), and the outcomes were evaluated using QuantaSoft software version 1.7.4 (Bio-Rad, Hercules, CA, USA). Each reaction was analyzed individually, and the findings were reported as copies/µL for CAR and the reference gene.
For analyses of continuous variables, the Mann-Whitney U test or Student’s
t-test was used. Categorical variables were analyzed using Pearson’s
chi-square test or Fisher’s exact test as appropriate. The association between
two or more variables was assessed using Spearman’s rank correlation coefficient.
Data analyses were conducted using GraphPad Prism 8.0.2 software (GraphPad
Software, San Diego, CA, USA). Two-tailed p-values were shown for all
analyses, and statistical significance was defined as p
In this study, all 27 patients in the study experienced recurrent fever within 1
month after CAR T-cell infusion; the mean days of PBS during fever were 9.4 with
a mean body temperature of 38.5 °C. Of the twenty-seven patients
receiving CAR T-cell infusion, ten patients were on cluster of differentiation
(CD19) CAR-T, one on CD22 CAR-T, ten on CAR19/22 ‘cocktail’ therapy, five on
CD19-CD22 bicistronic CAR-T, and one was on CD7 CAR-T therapy. Twenty of
twenty-seven patients received CAR T-cell infusion following autologous stem cell
transplantation (Table 1). Through the combined utilization of mNGS and
conventional methods, positive pathogen detection was observed in nine of
twenty-five patients, resulting in a total of ten infectious events. Among these
events, five were attributed to viral infections, three were associated with
fungal infections, and two were identified as bacterial infections
(Supplementary Fig. 2). Notably, among the patients with infection, two
experienced grade 4 CRS with a high CAR transgene copy number of 110,900 and
87,474, and were infected with Aspergillus and BK polyomavirus and human
herpesvirus6-B (HHV6-B), respectively. While other infection group patients
experienced mild CRS (grade 1–2) with a lower CAR transgene copy number (10,245
Before CAR T-cell treatment, a total of seven B/T-ALL patients, including two patients with extramedullary recurrence, had a median percentage of lymphoblasts in BM of 88.0%, ranging from 10.5% to 96.0% and a median percentage of lymphoblasts in PB of 46.0%, ranging from 0.0% to 85.0%. Only one patient with BM involvement DLBCL showed 69.0% lymphoblasts in BM and 5.0% lymphoblasts in PB. After CAR T-cell infusion, the lymphoblasts in all patients were decreased to 0% in their first PBS, with an increase of 2.0–85.0% atypical lymphocytes (Fig. 1). The percentage of atypical lymphocytes in PBS showed a positive association with the CAR transgene copy number and absolute lymphocyte count (Fig. 2), suggesting that the expanding lymphocytes were entirely composed of CAR-T cells.
PBS images before and after CAR T-cell infusion. Before CAR T-cell infusion, blasts could be seen in the PBS of three patients with B-ALL (left) and in one patient with DLBCL (right top). After CAR T-cell infusion, the blasts disappeared and instead were replaced with CAR T-cells (arrow). Pt, patient.
Correlation between PBS atypical lymphocyte percentage, CAR transgene copy number, and absolute lymphocyte count. (A) Correlation between PBS atypical lymphocyte percentage and CAR transgene copy number. (B) Correlation between PBS atypical lymphocyte percentage and absolute lymphocyte count. Correlation analyses were performed with Spearman’s rank test.
We observed similar morphological features of different CAR T-cells, including CD7, CD19, and CD22 CART-cells, which showed enlarged cell bodies (about 4- to 5-fold higher than red blood cell) and an irregular and monocyte-like cell shape. The cell membrane of the CAR T-cells was smooth, the cytoplasm was abundant and bright, the outer cytoplasm was dark blue, the inner cytoplasm was light blue near the nucleus with strong basophilia, and the purplish-red particles similar to NK cells could be seen, but no vacuole was observed. Nuclei were mostly round or oval; indented; unfolded without pseudopodia; and had loose chromatin, an uneven distribution, small clumps, inconspicuous nucleoli, and visible pseudonucleolus. The nucleoplasm ratio was about 1:1 (Fig. 3). In addition, the dynamic changes of CD7 and CD19/22 CAR T-cells and the flow cytometry data or CAR transgene copy number in two patients within 1 month after therapy were also obtained (Fig. 4).
PBS images of CD7, CD19, and CD22 CAR T-cells. (A–F) Similar morphological features were seen between these CAR T-cells, as detailed in (G), an enlarged picture of CD19 CAR T-cells. Pt, patient. Pt. 5 and Pt. 11 correspond to the images in Fig. 1, while Pt. 27 corresponds to the images in Fig. 4A.
Dynamic changes of CD7, CD19/CD22 CAR T-cells after CAR T-cell infusion with 1 month. (A) Flow cytometry data showed the CD7 CAR T-cells were increased within the first 14 days and declined and disappeared by day 31 in patient No. 27. (B) CD19/22 CAR T-cells were infused on days 0 and 1, and the CAR transgene copy number showed that the CD19 CAR T-cells were increased in the first 10 days, whereas CD22 CAR T-cells were increased by day 10. All CAR T-cells disappeared on day 28. Pt, patient.
Since the fever after CAR T-cell infusion often represents a state of CRS or
infection, we compared the atypical lymphocyte percentage between the infection
and non-infection groups. Significantly, among the 27 CAR T-cell recipients with
fever, recipients without infection showed a notably higher percentage of
atypical lymphocytes in PBS compared to recipients with infection (27.6%
vs. 12.2%; p
Distribution of PBS atypical lymphocyte percentage (A) and IL-6
(B) levels in patients with no infection vs. any infection. *:
p
Despite the great successes of CAR T-cell therapy in hematological malignancy, infection remains a main obstacle in this field. Recipients are immunocompromised after CAR T-cell infusion, making them highly susceptible to opportunistic infections [26, 27]. A previous study showed that in patients with infection after CAR T-cell infusion, significantly higher mortality within 90 days was noted [13, 28]. Consequently, there is a justified need for studies focusing on enhancing infection prevention and treatment strategies for these high-risk patients.
In this study, we described the morphology of CD7, CD19 and CD22 CAR T-cells in
detail and found that PBS morphology and atypical lymphocyte percentage were
capable of reflecting the clonal kinetics of CAR T-cells. Lesesve et al.
[29] examined the PBS of a patient with large cell B-cell lymphoma treated with
CD19 CAR-T, and the morphological description of CAR T-cells detected under the
microscope was similar to what we observed. In addition to CD19 CAR T-cells, we
also observed two other types of CAR T-cells, and the results showed that
different CAR T-cells had similar morphological characteristics. This finding
supplements the morphological characteristics of CAR T-cells after infusion,
which is conducive to the accurate and rapid identification of CAR T-cells. In a
previous study, Faude et al. [30] established that the peripheral blood
absolute lymphocyte count parameters can be used as a surrogate to assess CAR
T-cell expansion, which was also found in our study. We further found that the
percentage of atypical lymphocytes in PBS was both positively correlated with CAR
transgene copy number and absolute lymphocyte count (p
We observed a similar CAR transgene copy number between infection and non-infection groups. Further analyses revealed that in the infection group, two out of nine patients experienced grade 4 CRS and showed the highest CAR transgene copy number in this group (data not shown), suggesting that in patients with infection, the fever may be caused by both pathogenic microbes and CAR T-cells expansion. In addition, IL-6 is increased in critical illnesses such as sepsis and CRS, driven by the activity of antigen-presenting cells and CAR T-cells [31, 32, 33]. In this study, while a low percentage of atypical lymphocytes was noted in patients with infection, a high level of IL-6 was observed in these patients, suggesting that a higher level of IL-6 in CAR T-cell recipients may be due to an infection state rather than CAR T-cell activation only. In this study, a high IL-6 level accompanied by a low percentage of atypical lymphocytes in PBS may have been a potential indicator for the delayed administration of IL-6 receptor antibody treatment, as infections occurred in these fever CAR T-cell recipients.
Both infection and CRS could be involved in the pathogenesis of fever after CAR T-cell infusion [34, 35]. Infection and CRS exhibit similar clinical symptoms [36]. CAR transgene copy number, flow cytometry analyses, mNGS, and conventional methods to investigate CAR T-cell proliferation and infection complications in recipients are expensive and time-consuming. PBS could be a more convenient and reliable method to assess CAR T-cell kinetics. While some patients with infection also experience severe CRS, identifying the cause of fever in such patients is complex, and examination at multiple time points to assess both CAR T-cell kinetics and microbiological tests is necessary, causing an appropriate temporal window of corticosteroids and IL-6 receptor antibody to break the CRS inflammatory activation loop and avoiding the aggravation of infection, which is very important. Therefore, we suggest the diagnosis and management flowchart for patients with recurrent fever post-CAR T-cell infusion (Fig. 6).
Flow chart of quick diagnosis and management for recurrent fever
patients post CAR T-cell infusion using PBS. CRP, C-reactive protein; PCT,
procalcitonin; mNGS, metagenomic next-generation sequencing; CRS, cytokine
release syndrome; IL-6, Interleukin-6; TNF-
In summary, our results showed that PBS could be an indicator of CAR T-cell expansion and a quick and reliable method to distinguish causes of fever in the early phase of post-CAR T-cell infusion.
CD7, cluster of differentiation 7; PB, peripheral blood; BM, bone marrow; NK, natural killer; CAR, chimeric antigen receptor; PBS, peripheral blood smears; CRS, cytokine release syndrome; r/r B-ALL, refractory or relapsed B-cell acute lymphoblastic leukemia; r/r DLBCL, refractory or relapsed Diffuse large B cell lymphoma; HSCT, Hematopoietic stem cell transplant; ICANS, immune effector cell-associated neurotoxicity syndrome; HHV6-B, human herpesvirus6-B; CBCs, complete blood count; CRP, C-reactive protein; PCT, procalcitonin; mNGS, metagenomic next-generation sequencing; ddPCR, droplet digital PCR.
The datasets are available upon request.
JW and ZW designed this study, participated in the revision, and approved the final version to be released. LiaH, FM, ZG, and WT managed patients in clinical trials and provided patients’ data. SH, JP, XY, JZ, and LifH analyzed and interpreted the data. SH, JP, and XY wrote the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.
The 5 ongoing clinical trials in this study were approved by the institutional review board. This retrospective study was approved by the Medical Ethics Committee of the Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology and Department of Hematology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi (Medical Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology: TJ-IRB20160314/ TJ-IRB20160310/ [2020] Lun Shen Zi (S205)/ [2022] Lun Shen Zi (S031); Academic Committee of Norman Bethune Hospital (Shanxi Academy of Medical Sciences): XS-2022-9-2).
The authors would like to thank Hebei Senlang Biotechnology Inc., Ltd., Wuhan Bio-Raid Biotechnology Co., Ltd., Nanjing IASO Biotherapeutics Co., Ltd. for technical support of CAR T-cell manufacturing. The abstract of this study had been presented as a poster in the 28th European Hematology Association (EHA) conference. For more details, interested readers are encouraged to visit the conference’s official website https://ehaweb.org/
This research was funded by the National Natural Science Foundation of China, grant number 82070217 (Jia Wei), and the National High Technology Research and Development Program of China, grant number 2021YFA1101502 (Jia Wei).
The authors declare no conflict of interest.
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