Ontology highlight
ABSTRACT: Background
Pediatric oncology patients represent a cohort of individuals uniquely at risk of complications from influenza, yet less likely to respond to the vaccine. It is not yet clear how to best protect this vulnerable population.Methods
We performed a prospective analysis of 177 pediatric oncology patients to define the predictors of influenza vaccine responses. Each variable was examined over three time points and a repeated measure analysis was performed.Results
Patients with ALL vaccinated during induction phase had superior influenza vaccine responses than those subjects vaccinated during post-induction or maintenance phases (P=0·0237). Higher aggregate HAI titer responses were associated with a higher baseline B-cell count (P=0·0240), and higher CD4 and CD8 influenza-specific T-cell responses, suggesting prior antigen exposure is a significant contributor. The solid tumor cohort had equivalent responses during all time frames of chemotherapy.Discussion
The optimal protection from influenza of pediatric patients on chemotherapy should include vaccination, but it is clear that not all patients produce high titers of antibodies after vaccination. This study identified biomarkers that could be used to individualize vaccine approaches. Immunologic predictors might have a role in targeting resources, as B-cell counts predicted of vaccine responses among the patients with ALL.
SUBMITTER: Kersun LS
PROVIDER: S-EPMC4634289 | biostudies-literature | 2013 Nov
REPOSITORIES: biostudies-literature
Kersun Leslie S LS Reilly Anne A Coffin Susan E SE Boyer Jean J Luning Prak Eline T ET McDonald Kenyetta K Hou Xiaoling X Jawad Abbas F AF Sullivan Kathleen E KE
Influenza and other respiratory viruses 20121130 6
<h4>Background</h4>Pediatric oncology patients represent a cohort of individuals uniquely at risk of complications from influenza, yet less likely to respond to the vaccine. It is not yet clear how to best protect this vulnerable population.<h4>Methods</h4>We performed a prospective analysis of 177 pediatric oncology patients to define the predictors of influenza vaccine responses. Each variable was examined over three time points and a repeated measure analysis was performed.<h4>Results</h4>Pat ...[more]