Impact of acute lymphoblastic leukemia induction therapy: findings from metabolomics on non-fasted plasma samples from a biorepository.

INTRODUCTION: Acute lymphoblastic leukemia (ALL) is among the most common cancers in children. With improvements in combination chemotherapy regimens, the overall survival has increased to over 90%. However, the current challenge is to mitigate adverse events resulting from the complex therapy. Several chemotherapies intercept cancer metabolism, but little is known about their collective role in altering host metabolism. OBJECTIVES: We profiled the metabolomic changes in plasma of ALL patients initial- and post- induction therapy. METHODS: We exploited a biorepository of non-fasted plasma samples derived from the Dana Farber Cancer Institute ALL Consortium; these samples were obtained from 50 ALL patients initial- and post-induction therapy. Plasma metabolites and complex lipids were analyzed by high resolution tandem mass spectrometry and differential mobility tandem mass spectrometry. Data were analyzed using a covariate-adjusted regression model with multiplicity adjustment. Pathway enrichment analysis and co-expression network analysis were performed to identify unique clusters of molecules. RESULTS: More than 1200 metabolites and complex lipids were identified in the total of global metabolomics and lipidomics platforms. Over 20% of those molecules were significantly altered. In the pathway enrichment analysis, lipids, particularly phosphatidylethanolamines (PEs), were identified. Network analysis indicated that the bioactive fatty acids, docosahexaenoic acid (DHA)-containing (22:6) triacylglycerols (TAGs), were decreased in the post-induction therapy. CONCLUSION: Metabolomic profiling in ALL patients revealed a large number of alterations following induction chemotherapy. In particular, lipid metabolism was substantially altered. The changes in metabolites and complex lipids following induction therapy could provide insight into the adverse events experienced by ALL patients.

Risk Factors for Asparaginase-associated Pancreatitis: A Systematic Review.

GOALS: To evaluate potential risk factors for the development of asparaginase-associated pancreatitis (AAP), we performed a systematic review of the current literature from January 1946 through May 2015. BACKGROUND: Asparaginase, a primary treatment for the most common childhood cancer, acute lymphoblastic leukemia (ALL), is a well-described cause of pancreatitis. Further, pancreatitis is among the most burdensome and common complications of asparaginase treatment and represents a major reason for early-drug termination and inferior outcomes. The literature lacks clarity about the risk factors for AAP, and this knowledge gap has hampered the ability to reliably predict which patients are likely to develop AAP. STUDY: In an expansive screen, 1842 citations were funneled into a review of 59 full articles, of which 10 were deemed eligible based on predetermined inclusion criteria. RESULTS: Of the 10 identified studies, only 2 studies showed that children above 10 years of age had a >2-fold risk of AAP compared with younger children. Patients placed in high-risk ALL categories had a greater incidence of pancreatitis in 2 studies. In addition, use of pegylated asparaginase resulted in a higher incidence of AAP in 1 study. CONCLUSIONS: In this systematic review, older age, asparaginase formulation, higher ALL risk stratification, and higher asparaginase dosing appear to play a limited role in the development of AAP. Further studies are needed to probe the underlying mechanisms contributing to the development of pancreatitis in patients receiving asparaginase.

A prognostic tool to predict severe acute pancreatitis in pediatrics.

BACKGROUND/OBJECTIVES: Approximately 15-20% of pediatric patients with acute pancreatitis (AP) develop severe disease. Severity scoring tools were developed for adult patients, but have limitations when applied in children. We aimed to identify early predictors of severe acute pancreatitis (SAP) on hospital admission for early risk stratification of patients. METHODS: Retrospective review of AP admissions was conducted. The derivation cohort included cases at Cincinnati Children's Hospital Medical Center (CCHMC) between 2009 and 2013. Clinical data collected during the first 24 h of admission were analyzed and a predictive model was derived through statistical analysis. The performance of the model was evaluated in a validation cohort from 2 more institutions other than CCHMC. RESULTS: In the derivation cohort 19% of the 284 admissions were SAP. A generalized linear mixed effect model analysis revealed that lipase, albumin and white blood count (WBC) play a role in the development of SAP (area under the receiver operating curve (AUROC 0.76)). In the validation cohort of 165 AP cases, SAP ranged from 8 to 20% at the three institutions. Performance of the model in this cohort was comparable to the derivation model (AUROC 0.77). There were 369 encounters in the combined derivation and validation pool (AUROC 0.76). CONCLUSIONS: The prognostic severity tool with 3 variables (lipase, albumin, and WBC) obtained within 24 h of admission can be applied to predict SAP in pediatric patients.

Basics of Blenderized Tube Feeds: A Primer for Pediatric Primary Care Clinicians.

Blenderized tube feeding (BTF) is defined as the use of blended foods and liquids given directly via the feeding tube. This form of tube feeding lost popularity with the introduction of commercial enteral formulas in the 1970s; however, society's recent focus on more natural foods has led to a reemerged interest in blenderized feeds. BTF is particularly popular among the pediatric population for a variety of reasons. Many patients and families choose BTF because of its perceived health benefits, intolerance to commercial feeding formulas, or psychosocial reasons. Despite its increasing use, the current literature on the prevalence, safety and outcome of BTF is limited. In this review, we discuss the potential benefits and drawbacks of blenderized tube feeds. We also review clinical application pearls for pediatric primary care clinicians. It is important for these clinicians to have a basic understanding of blenderized formulas in order to support families that are interested in this reemerging food practice.