Acute graft-versus-host disease (aGvHD) remains a major cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). We performed RNA analysis of 1408 candidate genes in bone marrow samples obtained from 167 patients undergoing HSCT. RNA expression data were used in a machine learning algorithm to predict the presence or absence of aGvHD using either random forest or extreme gradient boosting algorithms. Patients were randomly divided into training (2/3 of patients) and validation (1/3 of patients) sets. Using post-HSCT RNA data, the machine learning algorithm selected 92 genes for predicting aGvHD that appear to play a role in PI3/AKT, MAPK, and FOXO signaling, as well as microRNA. The algorithm selected 20 genes for predicting survival included genes involved in MAPK and chemokine signaling. Using pre-HSCT RNA data, the machine learning algorithm selected 400 genes and 700 genes predicting aGvHD and overall survival, but candidate signaling pathways could not be specified in this analysis. These data show that NGS analyses of RNA expression using machine learning algorithms may be useful biomarkers of aGvHD and overall survival for patients undergoing HSCT, allowing for the identification of major signaling pathways associated with HSCT outcomes and helping to dissect the complex steps involved in the development of aGvHD. The analysis of pre-HSCT bone marrow samples may lead to pre-HSCT interventions including choice of remission induction regimens and modifications in patient health before HSCT.

Background/Objectives: Allogeneic hematopoietic stem cell transplantation (alloSCT) is a curative treatment for myeloid diseases, yet relapse remains the major cause of post-transplant mortality. To reduce the risk of recurrence, we evaluated the addition of 400 cGy total body irradiation (TBI) to conditioning with fludarabine-busulfan (Flu/Bu4). Methods: In this prospective study, 46 patients with myeloid diseases were randomized to Flu/Bu4 or Flu/Bu4/TBI conditioning group. The Flu/Bu4 conditioning regimen consisted of fludarabine 40 mg/m² on days -6 to -3 followed by busulfan 130 mg/m² on days -6 to -3. Flu/Bu4/TBI conditioning regimen added 400 cGy TBI on day -1 to the FluBu4 regimen. Results: Among 34 acute myeloid leukemia (AML) patients, relapse was numerically lower in those who received Flu/Bu4/TBI (25%) versus Flu/Bu4 (44.4%) at three years (HR = 0.58, 95% CI 0.19 to 1.81, p = 0.35). Flu/Bu4/TBI appeared to increase the risk of non-relapse mortality (NRM) vs. Flu/Bu4 in AML patients at three years (25.0% versus 11.1%; HR = 2.11, 95% CI 0.51 to 8.83, p = 0.65). Overall survival (OS) was similar in AML patients undergoing conditioning with Flu/Bu4 (72.2%) versus Flu/Bu4/TBI (62.5%) at one year (p = 0.4). Conclusions: In conclusion, the addition of 400 cGy TBI to Flu/Bu4 reduced the risk of relapse but did not improve OS as a consequence of higher regimen-related mortality. Clinicaltrials.gov identifier: NCT01366612.

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common diagnosed aggressive B-cell lymphoma, with poor outcomes in those who experience relapsed or refractory (R/R) disease. Landmark clinical trials have demonstrated the efficacy and safety of anti-CD19 chimeric antigen receptor (CAR) T-cell therapy for patients with R/R DLBCL, though further exploration of real-world outcomes (RWOs) and safety data is warranted. Methods: A retrospective chart review was performed to collect patient and disease characteristics from patients with R/R DLBCL receiving CAR T-cell therapy for third-line treatment or beyond at the John Theurer Cancer Center as the standard of care. Results: We report on 82 patients with R/R DLBCL that successfully completed an infusion of an anti-CD19 CAR T-cell product at our institution. Best overall and complete response rates were 74.4% (95% CI, 64.9 to 83.8) and 67.1% (95% CI, 56.9 to 77.2), respectively. From the time of CAR T-cell infusion, median PFS was 26.5 months (95% CI, 8.6 months could not be estimated) and OS was not reached. Subgroup analyses revealed no statistical differences in outcomes by use of bridging therapy, Karnofsky performance status, transformed DLBCL status, and the type of CAR T-cell product used for this study. CAR T-cell therapy was well tolerated, with 58 patients (70.7%) experiencing cytokine-release syndrome and 17 patients (20.7%) experiencing immune effector cell-associated neurotoxicity syndrome. Conclusions: These results of RWOs in third-line patients with R/R DLBCL receiving anti-CD19 CAR T-cell therapy are comparable or superior to prior clinical trials and studies of RWOs, validating the strong efficacy and manageable toxicities of CAR T-cell therapy.

Background: Disease relapse is a primary cause of treatment failure after hematopoietic stem cell transplantation in the treatment of malignancy. Consolidation therapy early after transplantation may reduce this risk, but it is difficult to administer in the setting of various post-transplant complications. We proposed that testing donor cell chimerism and for persistent minimal residual disease (MRD) with next-generation sequencing (NGS) of plasma cell-free DNA (cfDNA) early after transplantation would identify those patients at higher risk of relapse who would possibly benefit from consolidation therapy. Methods: We enrolled 20 subjects with known tumor-associated somatic mutations into this prospective pilot study, testing plasma samples before and at 28, 56, and 84 days after transplantation. Pre- and post-transplant bone marrow samples were also analyzed. All samples were subjected to an agnostic, commercially available panel covering 302 genes. Results: Significantly more mutations (p < 0.0001) were detected in the plasma cfDNA than in the bone marrow cells in pre-transplant testing (92 versus 61 mutations, respectively), most likely reflecting sampling variation when bone marrow was used. Two subjects were negative for MRD in staging studies immediately before transplants. Most (19/20) subjects had intermittent or sustained MRD detected in post-transplant plasma cfDNA testing, albeit with much lower average variant allele frequencies (VAFs). Six out of 20 subjects suffered relapses within 12 months after transplantation, and all 6 could be identified by adverse-risk driver mutations that persisted after transplantation. No patients who cleared the adverse-risk mutations relapsed. Donor chimerism using cfDNA fell for all relapsed patients and contributed to the identification of patients at early risk for relapse. Conclusions: These data demonstrate that testing plasma cfDNA for persistent leukemia-associated somatic mutations and donor chimerism as early as 28 days after transplantation will identify a subset of patients with high-risk mutations who are at high risk of relapse. This early assessment of relapse risk may facilitate modifications to the treatment plan, reducing the risk of treatment failure.