Rapid identification of early infections in febrile patients after CD19 target CAR-T cell therapy for B-cell malignancies.

BACKGROUND: CD19-targeted chimeric antigen receptor T (CAR-T) cell therapy stands out as a revolutionary intervention, exhibiting remarkable remission rates in patients with refractory/relapsed (R/R) B-cell malignancies. However, the potential side effects of therapy, particularly cytokine release syndrome (CRS) and infections, pose significant challenges due to their overlapping clinical features. Promptly distinguishing between CRS and infection post CD19 target CAR-T cell infusion (CTI) remains a clinical dilemma. Our study aimed to analyze the incidence of infections and identify key indicators for early infection detection in febrile patients within 30 days post-CTI for B-cell malignancies. METHODS: In this retrospective cohort study, a cohort of 104 consecutive patients with R/R B-cell malignancies who underwent CAR-T therapy was reviewed. Clinical data including age, gender, CRS, ICANS, treatment history, infection incidence, and treatment responses were collected. Serum biomarkers procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) levels were analyzed using chemiluminescent assays. Statistical analyses employed Pearson's Chi-square test, t-test, Mann-Whitney U-test, Kaplan-Meier survival analysis, Cox proportional hazards regression model, Spearman rank correlation, and receiver operating characteristic (ROC) curve analysis to evaluate diagnostic accuracy and develop predictive models through multivariate logistic regression. RESULTS: In this study, 38 patients (36.5%) experienced infections (30 bacterial, 5 fungal, and 3 viral) within the first 30 days of CAR T-cell infusion. In general, bacterial, fungal, and viral infections were detected at a median of 7, 8, and 9 days, respectively, after CAR T-cell infusion. Prior allogeneic hematopoietic cell transplantation (HCT) was an independent risk factor for infection (Hazard Ratio [HR]: 4.432 [1.262-15.565], P = 0.020). Furthermore, CRS was an independent risk factor for both infection ((HR: 2.903 [1.577-5.345], P < 0.001) and severe infection (9.040 [2.256-36.232], P < 0.001). Serum PCT, IL-6, and CRP were valuable in early infection prediction post-CAR-T therapy, particularly PCT with the highest area under the ROC curve (AUC) of 0.897. A diagnostic model incorporating PCT and CRP demonstrated an AUC of 0.903 with sensitivity and specificity above 83%. For severe infections, a model including CRS severity and PCT showed an exceptional AUC of 0.991 with perfect sensitivity and high specificity. Based on the aforementioned analysis, we proposed a workflow for the rapid identification of early infection during CAR-T cell therapy. CONCLUSIONS: CRS and prior allogeneic HCT are independent infection risk factors post-CTI in febrile B-cell malignancy patients. Our identification of novel models using PCT and CRP for predicting infection, and PCT and CRS for predicting severe infection, offers potential to guide therapeutic decisions and enhance the efficacy of CAR-T cell therapy in the future.

Neutrophil CD64 Index as a superior biomarker for early diagnosis of infection in febrile patients in the hematology department.

BACKGROUND: In the hematology department, the availability of biomarkers for early detection of infection is difficult to obtain. The present study aimed to compare the diagnostic values of neutrophil CD64 Index, procalcitonin (PCT), interleukin-6 (IL-6) and C-reactive protein (CRP) and to determine whether the combined analysis of these biomarkers offer stronger predictive power in the diagnosis for the infection of febrile patients. METHODS: Neutrophil CD64 Index, PCT, IL-6 and CRP levels were determined in 356 febrile patients in the hematology ward from May 2013 to May 2015. Sensitivity, specificity, positive and negative likelihood ratios, positive and negative predictive values, receiver operating characteristic (ROC) areas under the curve (AUC), and logistic regression analysis were determined to evaluate the diagnostic values of these biomarkers. RESULTS: The levels of the four biomarkers were higher in the infection patients (p<0.001), and the PCT and IL-6 were higher in the patients with positive microbial blood culture (p<0.01). The neutrophil CD64 Index, PCT, IL-6, CRP had AUCs of 0.95, 0.83, 0.75 and 0.73, respectively. The best cut-off value of the neutrophil CD64 Index to detect infections was 5.06, with high specificity (87.5%) and sensitivity (88.4%). Furthermore, neutrophil CD64 Index, PCT and IL-6 offered the best combination of diagnosis with sensitivity of 93.9% and an AUC of 0.95. In addition, the neutrophil CD64 Index may have a special value to assist the physician to diagnose infection in the neutropenic patients with fever. CONCLUSIONS: The neutrophil CD64 Index is useful for early identification of infections in febrile patients in the hematology department. The combined analysis of the CD64 Index, PCT and IL-6 could further improve its sensitivity.

Accumulation of circulating myeloid-derived suppressor cell subsets: predicting poor clinical efficacy and prognosis through T cell suppression in non-Hodgkin's lymphoma.

Myeloid-derived suppressor cells (MDSCs) are implicated in the regulation of immune responses closely associated with poor clinical outcomes in cancer. However, the MDSC subtypes in non-Hodgkin's lymphoma (NHL) have not been systematically investigated. So, we investigated the percentage of MDSC subsets in 78 newly diagnosed NHL patients by flow cytometry. The results showed that all MDSC subsets increased in NHL patients compared with healthy donors. Notably, MDSCs, monocytic MDSCs, and CD14 + CD66b + MDSCs significantly increased in NHL patients compared with those with lymphadenitis donors. polymorphonuclear MDSCs (PMN-MDSCs), early-stage MDSCs (e-MDSCs), and the International Prognostic Index were independent risk factors for poor clinical efficacy and were involved in constructing the nomogram for predicting clinical efficacy. Progression-free survival (PFS) was significantly shorter in patients with high level of MDSC subsets, and PMN-MDSCs emerged as an independent prognostic factor for PFS. PMN-MDSCs, e-MDSCs, and the International Prognostic Index were involved in constructing the nomogram for predicting PFS. Patients with a higher percentage of MDSCs, PMN-MDSCs, e-MDSCs, and CD14 + CD66b + MDSCs experienced a shorter overall survival compared with those with lower percentages. In addition, research on mechanisms found that T cell function was suppressed and mediated by the expansion of MDSCs via involving arginase-1 and interleukin-10 in vitro and in vivo. In conclusion, our study demonstrates that the increased circulating MDSC subsets predict poor clinical efficacy and prognosis in NHL, potentially involving T cell suppression through MDSC subset expansion. These findings indicate the potential of MDSC subsets as comprehensive diagnostic, prognostic biomarkers, and therapeutic targets for NHL.

How to detect the rare BCR-ABL (e14a3) transcript: A case report and literature review.

The Philadelphia (Ph; BCR-ABL) chromosome originates from a translocation event between chromosomes 9 and 22, and results in the BCR-ABL fusion gene. In chronic myelogenous leukemia (CML), the BCR-ABL gene is mainly coded for by a major breakpoint cluster region (M-bcr, e13a2 and e14a2). However, in some patients, BCR-ABL genes are encoded by a minor (m)-bcr, e1a2, and a micro (µ)-bcr region, e19a2. These transcripts revealed a different clinical course. The present study described a CML patient whose cytogenetics and FISH analyses of bone marrow revealed a karyotype of 46, XY t(9,22) (q34;q11), while the commercial kits of quantitative PCR (qPCR) failed to detect the BCR-ABL fusion gene. Further multiplex Reverse transcription-PCR (RT-PCR) and sequencing analyses identified a rare e14a3 (b3a3) fusion transcript.

[The First Switched Time of PML/RARα Fusion Gene in Patients with Acute Promyelocytic Leukemia and Its Clinical Significance].

OBJECTIVE: To investigate the first switched time of PML/RARα fusion gene in patients with acute promyelocytic leukemia (APL) and its clinical significance. METHODS: sixty cases of newly diagnosed APL were enrolled in this study. They received standard remission induction, consolidation and maintenance treatments according to the clinical pathway for APL, and were followed up. During the same time the PML/RARα fusion gene mRNA expression of all cases was detected by multi-nested PCR. RESULTS: except for 3 death cases and 1 case failed to follow-up, the PML/RARα fusion genes in the remaining 56 cases were firstly found to be negative from 24 to 381 days respectively, the mean value of the first switched time was 131 ± 90 days. There was no statistically significant difference in age, sex and risk stratification between different groups. However, the cases with L-type PML/RARα gene had shorter time compared with the patients with S-type PML/RARα gene (P = 0.032); then, for the above-mentimed 56 cases, the follow-up duration ranged from 25-1979 days (median 946 days), long-term molecular remissions had been observed in most cases, but 1 case with the first switched time of 133 days unfortunately recurred to be positive and followed by clinical relapse. CONCLUSION: The PML/RARα fusion gene in newly diagnosed APL patients was first switched to be negative in about 4 months after treatment. The first switched time of PML/RARα fusion gene can objectively reflect the reduction of leukemia cells, and the differences among different subtypes of PML/RARα fusion gene may have some suggestions for the treatment, but without important significance for the evaluation of prognosis and recurrence for APL patients. In addition, minimal residual disease (MRD) can be dynamically monitored by detecting PML/RARα fusion gene, thus having an important clinical significance for analysis of APL recurrence.