The number of CD34+ cells, but not WBCs, in the peripheral blood can be used as a predictor for timing of apheresis and estimating PBPC yield. This is a robust relationship not affected by a variety of patient and collection factors except the diagnosis of acute myeloid leukemia. Patients who undergo mobilization with chemotherapy and filgrastim also should undergo monitoring of peripheral blood CD34+ cell counts, beginning when the WBC count in the blood exceeds 1.0 to 5.0 x 10(9) per L.

Reliable, non-invasive methods for diagnosing and prognosing sinusoidal obstruction syndrome (SOS) early after hematopoietic cell transplantation (HCT) are needed. We used a quantitative mass spectrometry-based proteomics approach to identify candidate biomarkers of SOS by comparing plasma pooled from 20 patients with and 20 patients without SOS. Of 494 proteins quantified, we selected six proteins [L-Ficolin, vascular-cell-adhesion-molecule-1 (VCAM1), tissue-inhibitor of metalloproteinase-1, von Willebrand factor, intercellular-adhesion-molecule-1, and CD97] based on a differential heavy/light isotope ratio of at least 2 fold, information from the literature, and immunoassay availability. Next, we evaluated the diagnostic potential of these six proteins and five selected from the literature [suppression of tumorigenicity-2 (ST2), angiopoietin-2 (ANG2), hyaluronic acid (HA), thrombomodulin, and plasminogen activator inhibitor-1] in samples from 80 patients. The results demonstrate that together ST2, ANG2, L-Ficolin, HA, and VCAM1 compose a biomarker panel for diagnosis of SOS. L-Ficolin, HA, and VCAM1 also stratified patients at risk for SOS as early as the day of HCT. Prognostic Bayesian modeling for SOS onset based on L-Ficolin, HA, and VCAM1 levels on the day of HCT and clinical characteristics showed >80% correct prognosis of SOS onset. These biomarkers may provide opportunities for preemptive intervention to minimize SOS incidence and/or severity.

To identify diagnostic and prognostic markers of chronic graft-versus-host disease (cGVHD), the major cause of morbidity and mortality after allogeneic hematopoietic cell transplantation (HCT). Patients and MethodsUsing a quantitative proteomics approach, we compared pooled plasma samples obtained at matched time points after HCT (median, 103 days) from 35 patients with cGVHD and 18 without cGVHD (data are available via ProteomeXchange with identifier PXD002762). Of 105 proteins showing at least a 1.25-fold difference in expression, 22 were selected on the basis of involvement in relevant pathways and enzyme-linked immunosorbent assay availability. Chemokine (C-X-C motif) ligand 9 (CXCL9) and suppression of tumorigenicity 2 (ST2) also were measured on the basis of previously determined associations with GVHD. Concentrations of the four lead biomarkers were measured at or after diagnosis in plasma from two independent verification cohorts (n = 391) to determine their association with cGVHD. Their prognostic ability when measured at approximately day +100 after HCT was evaluated in plasma of a second verification cohort (n = 172). ResultsOf 24 proteins measured in the first verification cohort, nine proteins were associated with cGVHD, and only four (ST2, CXCL9, matrix metalloproteinase 3, and osteopontin) were necessary to compose a four-biomarker panel with an area under the receiver operating characteristic curve (AUC) of 0.89 and significant correlation with cGVHD diagnosis, cGVHD severity, and nonrelapse mortality. In a second verification cohort, this panel distinguished patients with cGVHD (AUC, 0.75), and finally, the panel measured at day +100 could predict cGVHD occurring within the next 3 months with an AUC of 0.67 and 0.79 without and with known clinical risk factors, respectively. ConclusionWe conclude that the biomarker panel measured at diagnosis or day +100 after HCT may allow patient stratification according to risk of cGVHD.

Summary:Enumeration of CD34 ؉ cells in the peripheral blood before apheresis predicts the quantity of those cells collected, although the cytometric techniques used are complex and expensive. We found that a subpopulation of lysis-resistant cells in the peripheral blood, identified by the Sysmex SE9500 and designated as HPC, can serve as a surrogate marker predictive of the yield of CD34 ؉ cells. Spearman's rank statistics were used to examine the correlation between WBC, MNC, HPC and CD34 ؉ cells in the peripheral blood and final CD34 ؉ cell yield for 112 samples of peripheral blood and matching apheresis collections from 66 patients and donors. The results indicate that WBC and MNC in the peripheral blood were poor predictors of CD34 content, while HPC gave a correlation coefficient of 0.62. The positive predictive values of different cutoff levels of HPC in the peripheral blood ranging from 5 to 50 ؋ 10 6 /l increased from 0.80 to 0.93 when the target collection was 1 ؋ 10 6 cells/kg. However, for patients with HPC levels below various cutoff levels, the proportion of the collections not reaching that target goal ranged between 0.36 and 0.43, indicating that most collections will still exceed the target goal of CD34 ؉ cells. When the target collection was 2.5 ؋ 10 6 CD34 ؉ cells/kg, the positive predictive value was lower and negative predictive value was higher. Bone Marrow Transplantation (2000) 25, 1157-1164.

Key Points• High ST2 and TIM3 at day 28 after allogeneic HCT were associated with nonrelapse mortality and overall survival at 2 years.• Low day 28 L-Ficolin was associated with VOD/SOS and high CXCL9 correlated with chronic GVHD.A phase 3 clinical trial (BMT CTN 0402) comparing tacrolimus/sirolimus (Tac/Sir) vs tacrolimus/methotrexate (Tac/Mtx) as graft-versus-host disease (GVHD) prophylaxis after matched-related allogeneic hematopoietic cell transplantation (HCT) recently showed no difference between study arms in acute GVHD-free survival. Within this setting of a prospective, multicenter study with uniform GVHD prophylaxis, conditioning regimen, and donor source, we explored the correlation of 10 previously identified biomarkers with clinical outcomes after allogeneic HCT. We measured biomarkers from plasma samples collected in 211 patients using enzyme-linked immunosorbent assay (Tac/Sir 5 104, Tac/ Mtx 5 107). High suppression of tumorigenicity-2 (ST2) and T-cell immunoglobulin mucin-3 (TIM3) at day 28 correlated with 2-year nonrelapse mortality in multivariate analysis (P 5 .0050, P 5 .0075, respectively) and in a proportional hazards model with time-dependent covariates (adjusted hazard ratio: 2.43 [1.49-3.95], P 5 .0038 and 4.87 [2.53-9.34], P < .0001, respectively). High ST2 and TIM3 correlated with overall survival. Chemokine (C-X-C motif) ligand 9 (CXCL9) levels above the median were associated with chronic GVHD compared with levels below the median in a time-dependent proportional hazard analysis (P 5 .0069). Low L-Ficolin was associated with hepatic veno-occlusive disease (P 5 .0053, AUC 5 0.80). We confirmed the correlation of plasma-derived proteins, previously assessed in single-center cohorts, with clinical outcomes after allogeneic HCT within this prospective, multicenter study. (Blood. 2017;129(2):162-170)

Lymphoma-associated hemophagocytic lymphohistiocytosis (HLH) is a rare but fatal disease. Differences between B cell and T cell lymphoma-associated HLH remain unclear, specifically clinical characteristics and survival. We retrospectively analyzed 30 lymphoma-associated HLH patients from July 2004 to October 2012. Patients were divided into B cell (n = 13) and T cell (n = 17) lymphoma groups. Patients' age, performance status, presence of Epstein-Barr virus infection, international prognostic index, presence of disseminated intravascular coagulopathy, serum triglyceride, fibrinogen, and lactate dehydrogenase levels were not significantly different between B cell and T cell lymphoma groups. HLH was an indicator for treatment resistance in patients with B cell (p = 0.048), but not T cell (p = 0.217), lymphoma. Patients in the T cell lymphoma group, however, had higher serum ferritin levels than patients in the B cell lymphoma group (11,525.6 versus 3,790.6 ng/mL; p = 0.043). The median survival time for patients in the B cell and T cell lymphoma groups was 330 and 96 days, respectively. Although the difference was not statistically significant (p = 0.273), our results suggested a trend toward a better overall survival time in patients with B cell lymphoma. This survival advantage could be at least partially due to use of rituximab (p = 0.045) for the treatment of patients with B cell lymphoma. Our results also suggested that allogeneic hematopoietic stem cell transplantation could possibly provide survival benefits to T cell lymphoma-associated HLH by graft-versus-lymphoma effect.

Chronic pain patients receiving opioid drugs are at risk for opioid-induced hyperalgesia (OIH), wherein opioid pain medication leads to a paradoxical pain state. OIH involves central sensitization of primary and secondary afferent neurons in the dorsal horn and dorsal root ganglion, similar to neuropathic pain. Gabapentin, a gamma-aminobutyric acid (GABA) analog anticonvulsant used to treat neuropathic pain, has been shown in animal models to reduce fentanyl hyperalgesia without compromising analgesic effect. Chronic pain patients have also exhibited lower opioid consumption and improved pain response when given gabapentin. However, few human studies investigating gabapentin use in OIH have been performed in recent years. In this review, we discuss the potential mechanisms that underlie OIH and provide a critical overview of interventional therapeutic strategies, especially the clinically-successful drug gabapentin, which may reduce OIH.

Background: Chronic GVHD (cGVHD) remains the major contributor to morbidity and mortality for survivors of allogeneic hematopoietic cell transplant (HCT), but it remains a clinical diagnosis. Methods: We used a proteomics discovery approach comparing plasma pools from onset of de novo cGVHD (N¼17), progressive cGVHD (N¼18), and matched time-point samples from 19 patients without GVHD. Of 105 proteins that showed at least 1.3-fold change in the quantification ratio, we further selected 24 proteins based on their involvement in relevant pathway networks, and the availability of ELISA. In addition, two markers (CXCL9 and ST2) were measured based on previously noted associations with cGVHD or refractory acute GVHD.Levels of these 26 proteins were measured by ELISA in plasma from an independent set of 178 patients with cGVHD, and from 33 controls without cGVHD. Logistic regression was used to evaluate the association between cGVHD and biomarkers after log transformation. All analyses were adjusted for significant clinical variables considering age, sex, stem cell source, conditioning (nonmyeloablative vs. others), donor (matched sibling vs. others), and time from HCT to sample collection. To determine the best combination model, we used forward selection with a 0.05 significance threshold, confirmed by backward selection. ROC curves were generated for the best single biomarker, and the combination model. The analysis of nonrelapse mortality (NRM) divided the panel weighted sum on the median value among cGVHD cases (N ¼ 178), and compared cases above and below the median. Results: Of the 26 proteins tested, 9 were associated with cGVHD with p-values < 0.05 (Table 1). Together ST2, CXCL9,