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AbstractBackgroundIt is unknown whether serum procalcitonin (PCT) concentration monitoring can differentiate between bacterial infection or cytokine release syndrome (CRS) when chimeric antigen receptor T‐cell (CAR‐T) recipients present with a constellation of signs and symptoms that may represent both complications.ObjectiveThe objective of the study was to assess the utility of serum PCT concentrations as a biomarker of bacterial infection in CAR‐T recipients.Study designThis single‐center, retrospective, medical record review evaluated patients prescribed CAR‐T therapy until death or 30 days after infusion. Logistic regression modeling determined the association between elevated serum PCT concentrations within 48 h of fever onset and microbiologically confirmed infection. Secondary outcomes included clinically suspected infection, CAR‐T toxicity rates, and broad‐spectrum antibiotic usage. Predictive performance of PCT was assessed by area under the receiver operating characteristic curve (AUC).ResultsThe 98 included patients were a median age of 63 (IQR: 55–69) years old, 47 (48%) were male, and 87 (89%) were Caucasian. Baseline demographics and clinical characteristics were similar between patients with and without a bacterial infection. Serum PCT >0.4 ng/mL within 48 h of fever was significantly associated with a microbiologically confirmed bacterial infection (OR: 2.75 [95% CI: 1.02–7.39], p = 0.045). Median PCT values in patients with and without confirmed infections were 0.40 ng/mL (IQR: 0.26, 0.74) and 0.26 ng/mL (IQR: 0.13, 0.47), respectively. The AUC for PCT to predict bacterial infection was 0.62 (95% CI 0.48–0.76). All patients experienced CRS of some grade, with no difference in CRS severity based on elevated PCT. Broad‐spectrum antibiotics were used for a median of 45% and 23% of days in those with and without confirmed infection, respectively (p = 0.075).ConclusionElevated serum PCT concentrations above 0.4 ng/mL at time of first fever after CAR‐T infusion was significantly associated with confirmed bacterial infection. Furthermore, rigorous, prospective studies should validate our findings and evaluate serial PCT measurements to optimize antimicrobial use after CAR‐T therapy.

PURPOSE:High-dose methotrexate (HDMTX; > 500 mg/m2) is an important component of lymphoma therapy. Serum MTX monitoring at 48 hours is the standard approach to identify those at increased risk of developing MTX toxicity. Our aim was to characterize the incidence of complications and their association with MTX levels.METHODS:A retrospective review of our institutional electronic medical record was conducted to identify patients with lymphoma who received HDMTX between January 1, 2002, and December 31, 2018. We characterized the incidence of acute kidney injury (AKI), intensive care unit (ICU) admission, length of hospital stay (LOS), and 30-day mortality across 48-hour MTX levels. To establish an association between 48-hour MTX levels and the complications listed, we performed chi-square analysis for dichotomous variables and Kruskal-Wallis for nonparametric data. Receiver operator characteristic curve analysis was performed to identify the MTX level where AKI grade ≥ 2 was more likely. Multivariate logistic regression analysis was performed to identify risk factors for this MTX level.RESULTS:We identified 642 patients with 2,804 cycles of HDMTX. The incidence of AKI was 19.1% with AKI grade ≥ 2 making up 21% of cases. Rates of AKI, ICU admission, and 30-day mortality are associated with elevated 48-hour MTX levels. There was a significant increase in median LOS with elevated MTX levels ( P < .001). Receiver operator characteristic curve analysis for AKI grade ≥ 2 demonstrated a 48-hour MTX level threshold of 1.28 μmol/L. Multivariate logistic regression analysis revealed age, male sex, elevated body surface area, higher MTX dose, monotherapy, and first cycle as independent factors.CONCLUSION:Elevated MTX levels are associated with a significant increased rate of AKI, ICU admission, prolonged LOS, and 30-day mortality. Elevated 48-hour MTX levels, particularly > 1.28 μmol/L, should alert clinicians for complications and to initiate measures to reduce MTX levels.

Abstract Low-grade B-cell lymphomas other than follicular and small lymphocytic lymphoma (LGBCL) account for 10% of all B-cell non-Hodgkin lymphomas. Despite improvements in survival outcomes for these patients, little is known about cause of death (COD) in the rituximab era. For a better understanding, we studied 822 newly diagnosed patients with marginal zone, lymphoplasmacytic, and unclassifiable low-grade B-cell lymphoma prospectively enrolled in the University of Iowa/Mayo Clinic Specialized Program of Research Excellence Molecular Epidemiology Resource from 2002 to 2015. COD was assigned based on medical record review using a standard protocol. At a median follow-up of 107 months, 219 (27%) patients had died. The incidence of lymphoma-related deaths when pooling across subtypes was lower than non–lymphoma-related deaths (10-year incidence, 8.0%; 95% confidence interval [CI]: 6.2-10.4 vs 13.6%; 95% CI: 11.2-16.6). The incidence of lymphoma-related deaths varied by subtype, ranging from 3.7% at 10 years in extranodal marginal zone lymphoma to 19.3% in lymphoplasmacytic lymphoma/Waldenström macroglobulinemia. Patients with early progression or retreatment events, defined using event-free survival at 24 months from diagnosis, had significantly higher likelihood of lymphoma-related death compared with patients without early events (10-year estimate: 19.1% vs 5.1%, respectively; P &lt; .001), whereas the rates for non–lymphoma-related death were comparable in patients with or without early events (10-year estimates: 11.0% vs 15.3%, respectively). In conclusion, the most common COD in LGBCLs in the first decade after diagnosis was for causes other than lymphoma. Progression or retreatment within the first 2 years of diagnosis was a strong predictor for risk of lymphoma-related death.

Clinical success with intravenous (IV) oncolytic virotherapy (OV) has to date been anecdotal. Here, we conducted a phase 1 clinical trial of systemic OV therapy and investigated the mechanisms of action in responding T-cell lymphoma (TCL) patients. A single IV dose of VSV-IFNβ-NIS was administered to patients with relapsed refractory hematologic malignancies to determine safety and efficacy across 4 dose levels (DL). Correlative studies were undertaken to evaluate viremia, virus shedding, virus replication and immune responses. Fifteen patients received VSV-IFNβ-NIS (7 multiple myeloma, 7 TCL, 1 acute myeloid leukemia); 3 patients were treated at each DL1 through DL3 (0.05, 0.17, and 0.5 x 1011 TCID50), and 6 at DL4 (1.7 x 1011 TCID50). There were no dose limiting toxicities. 3 of 7 patients with TCL had RECIST responses: a 3-month PR at DL2, a 6-month PR and a durable CR ongoing at 20 months at DL4. Viremia peaked at the end of infusion and no infectious virus shedding was detected. Plasma interferon-β levels, a biomarker of VSV-IFNβ-NIS replication, peaked between 4h and 48h post infusion. The patient with CR had robust viral replication with increased ell free DNA in her plasma, a very high peak IFNβ level of 18,213 pg/ml, a strong anti-VSV neutralizing antibody response, and increased numbers of tumor reactive T-cells. VSV-IFNβ-NIS as a single agent was effective in patients with TCL resulting in durable disease remissions in heavily pretreated patients. Correlative analyses suggest that responses may be due to a combination of direct oncolytic tumor destruction and immune-mediated tumor control. Further clinical testing is warranted. (This trial is registered at www.clinicaltrials.gov as NCT03017820).

In 2013, the American Society of Hematology (ASH) published recommendations with Choosing Wisely to limit surveillance imaging in aggressive lymphoma. We studied surveillance imaging practice patterns for diffuse large B-cell lymphoma (DLBCL) before and after the ASH Choosing Wisely campaign. We used OptumLabs Data Warehouse, a national insurance claims database, to retrospectively study imaging frequency in survivors of DLBCL from 2008 to 2016. Three time periods were defined: Period 1 (2008 to 2010), Period 2 (2011 to 2013), and Period 3 (2014 to 2016). One thousand four hundred seventy-two patients were included. Median follow up was approximately 2 years. During the first and second years of surveillance, imaging remained stable between Period 1 (years 1 and 2: 199 [91%] and 137 [83%], respectively) and Period 2 (years 1 and 2: 257 [88%] and 172 [77%], respectively; P = .38), but decreased in Period 3 (years 1 and 2: 315 [78%] and 83 [61%], respectively; P < .01). In a multivariable logistic regression, year after 2012 was a significant predictor of decreased overuse (more than two scans per year in the first year of surveillance; [odds ratio, 0.49 for 2013 v 2008; P = .02]). Our study demonstrated the rate of surveillance scans—both computed tomography and positron emission tomography imaging—in DLBCL decreased after the ASH Choosing Wisely campaign. Multiple factors, such as changes in recommendations, reimbursement, and provider knowledge base, may have all contributed and should be studied further.

Abstract BACKGROUND Diffuse large B-cell lymphoma (DLBCL) is a high-grade malignancy and the most common subtype of lymphoma worldwide. Standard therapy with anthracycline-based chemotherapy and rituximab is able to cure about two thirds of patients but a significant proportion will develop relapsed/refractory disease. Salvage treatment options in this setting are limited and only effective in a minority of patients. Most of these patients will eventually die from progressive disease, underscoring the pressing clinical need for the development of new treatment strategies. Checkpoint blockade therapy has demonstrated efficacy in a variety of cancers and involves modulating the host's immune response towards an effective anti-tumoral attack. Trials using programmed cell death protein 1 (PD-1) blockers in advanced hematological malignancies demonstrated remarkable activity in patients with Hodgkin lymphoma. Unfortunately, results in DLBCL were marginal and short lived. The mechanisms underlying the failure of immune checkpoint blockade in DLBCL are not known. To better understand mechanisms of immune evasion we utilized mass cytometry to the study of immune subsets in the tumor microenvironment (TME) of DLBCL. METHODS Viably cryopreserved cell suspensions created from clinical specimens of patients with DLBCL were obtained from our biorepository. Specimens were stained using a cocktail of metal-tagged antibodies recognizing over 32 surface proteins and acquired on the mass cytometer (CyTOF2™, Fluidigm). Control tissue consisted of reactive lymph node (LN) tissue, tonsil and spleen, obtained from patients without diagnosis of cancer. Analysis was performed using Cytobank (www.cytobank.com). Institutional Review Board approved the conduct of this study. RESULTS Thirteen patient samples were available for analysis (7 DLBCL, 6 controls). DLBCL samples originated from LN (4), spleen (2), and adrenal gland (1). Control tissue consisted of tonsil (3), reactive LN (2), and normal spleen (1). Global analysis of CD45+ cells showed that T-cells were more commonly found in the TME of DLBCL than controls (DLBCL 47.2% vs. 24.5% in controls; Figure 1). The difference persisted when the analysis was restricted to LN specimens (50.2% in DLBCL vs. 25.1% in normal LN). On both DLBCL and control samples the majority of T-cells were CD4+ (61.1% in DLBCL; 75.3% in control) compared to CD8+ T-cells (33.3% in DLBCL; 20% in control). DLBCL samples had increased proportion of regulatory T-cells (Treg) compared to controls (16.9% vs. 6.5%), even after stratifying for tissue of origin (Figure 2). Multiparametric analysis of cytotoxic (CD8+) T-cell subsets revealed that majority of CD8+ T-cells in DLBCL has an effector memory (Tem) phenotype (81.9%) compared to tissue-matched control (43%). PD-1 expression was present in the majority of CD8+ T-cells and mapped to the Effector Memory and Effector subsets. The majority of PD-1 positive cells co-expressed CD27 (>80%). One of the samples (DLBCL arising in the spleen from CLL background) also demonstrated bright PD-1 expression in B-cells (Figure 3). CONCLUSIONS Mass cytometry reveals that the tumor microenvironment of DLBCL is enriched with CD4+ T-cells including a higher proportion of Treg compared to tissue-matched control. We also demonstrated that most cytotoxic T-cells in the TME of DLBCL have an effector memory phenotype and express other markers of activation and prior antigenic exposure. Co-expression of PD-1 and CD27 was common in CD8+ T-cells, providing rationale for studies of combination immunotherapy. PD-1 expression in B-cells of DLBCL arising from CLL background deserves further investigation. Figure 1 Proportion of major immune subsets found in the TME of DLBCL (blue) and control tissue (red). Figure 1. Proportion of major immune subsets found in the TME of DLBCL (blue) and control tissue (red). Figure 2 Proportion of regulatory T-cells (Treg) found in the TME of DLBCL (blue) compared to control (red). Bars represent standard error. Figure 2. Proportion of regulatory T-cells (Treg) found in the TME of DLBCL (blue) compared to control (red). Bars represent standard error. Figure 3 viSNE map of CD45+ cells from a patient with DLBCL arising from a CLL background. Each unit on the dot plot represents a cell. Their coordinates on the map are functions of their phenotypic distance. Major subsets were identified using unbiased clustering and annotated (A). Events were color coded according to the expression of representative markers (B-G). A heat map (H) displays median intensity of expression of a comprehensive set of markers included in the panel for each immune subset. Figure 3. viSNE map of CD45+ cells from a patient with DLBCL arising from a CLL background. Each unit on the dot plot represents a cell. Their coordinates on the map are functions of their phenotypic distance. Major subsets were identified using unbiased clustering and annotated (A). Events were color coded according to the expression of representative markers (B-G). A heat map (H) displays median intensity of expression of a comprehensive set of markers included in the panel for each immune subset. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding.