Serious acute or chronic graft-versus-host disease after hematopoietic cell transplantation: a comparison of myeloablative and nonmyeloablative conditioning regimens

We previously reported a 25% incidence of serious graft-versus-host disease (GVHD) (that is, acute or chronic GVHD that caused death, lengthy hospitalization or disability, or resulted in recurrent major infections) among 171 hematopoietic cell transplantation (HCT) recipients after nonmyeloablative (NMA) regimen. Here we present a retrospective study applying the same criteria to 264 recipients of peripheral blood HCT after myeloablative (MA) regimen, and compare the results with the previous study after additional follow-up. The MA group was younger and had lower comorbidity scores at HCT than those in the NMA group. The overall incidence of serious GVHD was 17% (44/264) in the MA group versus 28% (48/171) in the NMA group. The adjusted hazard ratio (HR) of serious GVHD in the MA group compared to the NMA group was 0.65 (95% CI, 0.4-1.1); P = 0.13, and if follow-up was censored at the onset of recurrent or progressive malignancy, HR was 0.67 (95% CI, 0.4-1.3), P = 0.22. We conclude that the choice between MA and NMA regimens does not greatly affect the risk of serious GVHD as an overall indicator of outcomes related to either acute or chronic GVHD. Serious GVHD maybe considered as an endpoint in clinical trials with GVHD-related outcomes.411088789

Treatment Change as a Predictor of Outcome among Patients with Classic Chronic Graft-versus-Host Disease

We analyzed outcomes for 668 patients who had systemic treatment for chronic graft-versus-host disease (cGVHD) to assess the utility of early treatment change for exacerbation of cGVHD as a surrogate for survival endpoints in clinical trials. Fifty-six percent of patients had treatment change within 2 years after diagnosis of cGVHD. The median onset of treatment change was 4.4 months (range: 0.3-50 months). The cumulative incidence of nonrelapse mortality (NRM) at 2 years was 16%, and overall survival (OS) at 2 years was 74%. In time-dependent Cox models, treatment change was associated with an increase in risk of NRM (hazard ratio, 2.53; 95% confidence interval, 1.7-3.7; P < .0001). The hazard ratio was attenuated by 6% per month of delay in treatment change. Our results confirm that exacerbation of cGVHD is associated with an increased risk of NRM and with decreased OS, but the strength of this association is not large enough to allow the use of early exacerbation as a surrogate for survival endpoints in clinical trials. Other measures of clinical benefit, such as response, will need to be developed as endpoints in phase 11 trials for patients with cGVHD.141213801384National Institutes of Health [CA 118953-01A1, CA78902]Department of Health and Human ServicesNational Institutes of Health [CA 118953-01A1, CA78902

Precision oncology for acute myeloid leukemia using a knowledge bank approach

Underpinning the vision of precision medicine is the concept that causative mutations in a patient's cancer drive its biology and, by extension, its clinical features and treatment response. However, considerable between-patient heterogeneity in driver mutations complicates evidence-based personalization of cancer care. Here, by reanalyzing data from 1,540 patients with acute myeloid leukemia (AML), we explore how large knowledge banks of matched genomic\u2013clinical data can support clinical decision-making. Inclusive, multistage statistical models accurately predicted likelihoods of remission, relapse and mortality, which were validated using data from independent patients in The Cancer Genome Atlas. Comparison of long-term survival probabilities under different treatments enables therapeutic decision support, which is available in exploratory form online. Personally tailored management decisions could reduce the number of hematopoietic cell transplants in patients with AML by 20\u201325% while maintaining overall survival rates. Power calculations show that databases require information from thousands of patients for accurate decision support. Knowledge banks facilitate personally tailored therapeutic decisions but require sustainable updating, inclusive cohorts and large sample sizes