Citations

Background: A diagnosis of cancer creates a stressful situation owing to the uncertainties related to the thought of possible suffering from complications associated with treatment toxicities, the fear of not responding to the prescribed treatment, or death. The prevalence of mental health disorders is relatively higher in cancer patients vis-à-vis the general population. Methods: We performed a retrospective cohort study to evaluate the impact of mental health disorders on outcomes of relapsed and/or refractory diffuse large B-cell lymphoma (DLBCL) treated with chimeric antigen receptor T-cell (CAR T-cell) therapy using data from the TriNetX research network. Results: A total of 1587 patients met the inclusion criteria (858 with a mental health diagnosis and 729 without). After propensity score matching for age and gender, 1320 patients were included in the analysis (660 in each group). The 1-year OS was higher in patients without a mental health disorder (76.0% versus 69.4%, P = 0.004). Patients with mental health disorders had a higher incidence of cytokine release syndrome (all grades) compared with those without (35.5% versus 27.6%, P < 0.001) and immune effector cell-associated neurotoxicity syndrome (all grades) (16.8% versus 10.1%, P < 0.001). Conclusions: These findings emphasize the importance of thorough psychiatric evaluation and management in patients receiving CAR T-cell therapy. Patients with mental health disorders may need significant assistance with coordinating medical services to better adhere to required care management. Future studies are needed to help determine whether preventive and real-time mental health interventions can favorably impact outcomes of these patients.

Abstract Introduction Survival following allogeneic hematopoietic cell transplantation (allo-HCT) has improved over the last several decades. Implementation of reduced-intensity conditioning and improvement in graft selection, graft vs. host disease (GVHD) prophylaxis and treatment, and infection disease management, among others, have contributed to reducing non-relapse mortality (NRM). The use of post-transplant cyclophosphamide (PTCy) for GVHD prophylaxis, in particular, has been associated with reduced incidence of acute and chronic GVHD in both HLA-matched related and matched unrelated donor allografts. In this study, we aim to determine prognostic factors for NRM (including early NRM defined as within 100 days post-transplantation), disease-related mortality (DRM), and overall survival (OS) in a large cohort of patients following allo-HCT. Methods Patients who received consecutive allo-HCT at our institution from 2009-2023 were included. Clinical data were collected from retrospective reviews of the electronic medical records. Patient- and transplant-related variables were compared between patients who died and those who were alive at 100 days post allo-HCT. Univariate and multivariate Cox proportional hazard models were used to identify prognostic associations between risk factors and OS. Kaplan-Meier method was used to evaluate OS. Log-rank test was used to compare OS between groups. Statistical significance was set to &lt; 0.05. Results A total of 536 patients (male=285, 53%) were included. Median age at time of allo-HCT was 59 (range, 19-75) years. Most patients were White/Caucasian (n=232, 86%). The most common diagnoses included acute myeloid leukemia (AML) (n=110, 41%), myelodysplastic syndrome (n=52, 19.2%), myelofibrosis (n=23, 9%), B-cell acute lymphoblastic leukemia (B-ALL) (n=22, 8.1%), non-Hodgkin lymphoma (n=21, 8%), and chronic myeloid leukemia (n=10, 4%). The median follow-up for survivors was 4.2 (range, 1.1-14.4) years. A total of 80 (14.9%) patients died within 100 days with most deaths attributed to NRM (n=61, 76%). Specific causes of death included infection/sepsis in 22 (27.5%) patients, GVHD in 10 (12.5%), respiratory failure in 9 (11.2%), multiorgan failure in 5 (6.3%), graft failure in 5 (6.3%), and other causes in 10 (12.5%). Progressive disease was the cause of death in 19 (23.8%) patients. Male gender (HR=1.92; p= 0.006), remission status other than CR1 or CR2 for acute leukemia patients (HR=8.44; p&lt;0.0001), non- PTCy strategies (HR=2.4; p= 0.0006), and earlier year of transplantation (HR=1.12; p=&lt; 0.001) were associated with increased risk of mortality at 100 days on univariate analysis. Only use of TBI (HR=2.56, p=0.048) and earlier year of transplantation (HR=1.2; p=0.001) were associated with increased risk of DRM at 100 days post-allografting on univariate analysis. Pertaining to risk of NRM at 100 days, male gender (HR=1.89; p=0.02), diagnosis other than acute leukemia (HR=2.27; p=0.004), non-PTCy strategies (HR=2.44; p=0.003), and earlier year of transplantation (HR=1.1; p=0.004) were adversely associated with NRM. On multivariate analysis, only earlier year of transplantation was found to be associated with increased risk of DRM at 100 days (HR 1.15; p=0.049). Male gender (HR=1.78; p=0.035), diagnosis other than acute leukemia (HR=2.38; p=0.003), and non-PTCy strategies (HR=2.2; p=0.032), were associated with increased risk of NRM at 100 days. Conclusion Non-relapse mortality (NRM) accounted for most deaths within the first 100 days of allo-HCT, primarily due to infection/sepsis and GVHD. Factors associated with increased NRM included male gender and diagnoses other than acute leukemia. Significantly, post-transplantation cyclophosphamide (PTCy) was the only treatment strategy modification that decreased 100-day NRM and improved survival, independent of the transplantation year.

Abstract Background: AHCT is a standard of care treatment for eligible patients (pts) with MM. Most consensus guidelines recommend that at the time of first AHCT, enough APBHC should be collected to perform two AHCT. However, recent studies have shown that with each decade after 1990, the use of cryopreserved APBHC for a salvage AHCT has declined and is now in the range of 4.6-15% in the decade between 2010-2018. The collection and storage of APBHC for two AHCT incurs additional costs and a prior single center cost analysis revealed that having had collected for just one AHCT in a cohort of 726 MM pts would have saved 3.8 million USD between 1993 and 2011. 1 Most centers that perform AHCT for MM pts continue to collect and store PBAHC for 2 AHCT. Herein we evaluate utilization trends and costs associated with cryopreserved APBHC in patients with MM. Methods: We retrospectively evaluated the clinicopathologic data from 440 patients with MM who underwent APBHC mobilization and collection at Mayo Clinic Florida between 2010 and 2019. The number of apheresis/collection sessions and APBHC product collection yields were determined for patients who were mobilized by any method. We estimated the costs involved in PBSC collection (apheresis) and cryopreservation storage based on our institution-specific charges as of May 2021. The cost of 1 session of APBHC collection/apheresis was $4,680 and the cost of 1 year of APBHC cryopreservation was $4,790 per patient. Statistical analysis was performed using JMP Pro 15 (SAS). Chi-square and Fischer exact tests were used to carry out univariate analysis for categorical variables and Wilcoxon rank sum/Kruskal Wallis for continuous variables. Results: Patient demographics are shown in Table 1. 440 pts underwent at least one collection session and 347 underwent at least 1 AHCT. The median number of mobilization sessions was 1 (95% CI 1.0-1.03), the median number of collection/apheresis sessions was 2.0 (95% CI 2.39-2.59), 84.3% (n=371) required ≥1 collection session. The median number of CD34 stem cells collected was 7.6 x10 6 (95% CI 7.76-8.19 x10 6), and the median number of infused CD34 cells was 4 x10 6(95% CI 4.13-4.37x10 6). The median cost of total collection sessions (defined as # of apheresis/collection sessions x $4,680) was $9,360 per pt (95% CI $11,181-$12,100). The median cost of cryopreservation (defined as # of years of storage x $4,790) was $19,160 per pt (95% CI $9,682-$22,252). The median number of years of storage was 4 (95% CI 4.11-4.65). 77(17.5%) pts have had APBHC in storage for &lt;2 years, 218 (49.5%) have had APBHC in storage for 2-5 years, and 145 (33%) had have APBHC in storage for &gt;5 years. The median time from MM diagnosis to AHCT was 9.0 months (range 13.8-18.5). 82% of patients collected enough APBHC (≥6x10 6, at least 3x10 6 per AHCT)for 2 AHCT. 8% of patients had all APBHC infused during their first AHCT, 83.5% had half of their APBHC infused during their first AHCT, and 8.1% had a different amount of APBHC infused during their first AHCT thus 91.6% of patients who collected APBHC had cells in storage. The median OS for the entire cohort after AHCT was 94.7 months (95% CI 88.6-100). Out of 347 patients who had stem cells in cryopreservation, 5 (1.4%) underwent a salvage AHCT and 3 (0.9%) underwent a tandem AHCT. 61% percent of patients had ≥1 excess collection sessions for APBHC that ultimately went unused. The median cost of excess collection sessions was $4,680 per pt (range, $4,680-$32,760) and the median total cost for excess collection sessions plus costs for storage was $23,840 per pt (range, $4,680-$85,450). The sum of costs of excess collection sessions was $2,077,920 and the sum of costs of cryopreservation was $5,812,665. Conclusion: The results of this single center analysis show that only 1.4% of patients underwent a salvage AHCT between 2010 and 2019 while 91.6% had APBHC left in storage which confirms the increase in storage of cryopreserved APBHC and declining trend in the use of stored APBHC for salvage AHCT in pts with MM. This is likely due to the advent of next generation novel therapies such as monoclonal antibodies, proteasome inhibitors and immunomodulatory agents. Excess collections, and cryopreservation of unused APBHC incur a cost of nearly $8 million. Institutional policies regarding universal APBHC collection and long-term storage should be reevaluated. 1Phipps C, et al. Bone Marrow Transplantation 2015:50;663-667. Figure 1 Figure 1. Disclosures Murthy: CRISPR Therapeutics: Research Funding. Ailawadhi: Sanofi: Consultancy; Medimmune: Research Funding; Genentech: Consultancy; Ascentage: Research Funding; Pharmacyclics: Consultancy, Research Funding; Xencor: Research Funding; Janssen: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; AbbVie: Consultancy; Beigene: Consultancy; GSK: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Takeda: Consultancy; Cellectar: Research Funding; Karyopharm: Consultancy.