Retrospective Application of Sinusoidal Obstruction Syndrome/Veno-occlusive Disease Diagnostic Criteria in a Pediatric Hematopoietic Stem Cell Transplant Cohort.

Sinusoidal obstruction syndrome/veno-occlusive disease (SOS/VOD) posthematopoietic stem cell transplantation (HSCT) is often diagnosed using the modified Seattle (MS) or European Society for Blood and Marrow Transplantation (EBMT) criteria. We hypothesized that strict application of these criteria could affect the timing of diagnosis and incidence of SOS/VOD. We collected data on 215 transplants performed in 184 patients at a single pediatric hematopoietic stem cell transplantation center, which were divided into 3 cohorts. Clinical diagnosis and treatment of SOS/VOD was documented in 13% of transplants (cohort 1). On retrospective review, 49% of transplant events met either MS and/or EBMT criteria, however, were not diagnosed with SOS/VOD (cohort 2); remaining 38% of transplant events did not meet MS or EBMT criteria and were not diagnosed with SOS/VOD (cohort 3). Day+100 overall survival was significantly inferior for cohort 1 (78%) compared with cohorts 2 or 3 (92% and 95%, P=0.01) with no difference between cohorts 2 and 3 (P=0.5). Patients diagnosed with SOS/VOD >day+13 had worse day+100 overall survival when compared with those diagnosed ≤day13 (64.3% and 100%, respectively, P=0.02). This study highlights the value of careful clinical assessment to guide diagnosis and the need to refine diagnostic criteria for SOS/VOD in children.

Gene expression analysis in radiotherapy patients and C57BL/6 mice as a measure of exposure to ionizing radiation.

Dose assessment after radiological disasters is imperative to decrease mortality through rationally directed medical intervention. Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0-8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients ( ACTA2 , BBC3 , CCNG1 , CDKN1A , GADD45A , MDK , SERPINE1 , Tnfrsf10b ), expression of BBC3 , CCNG1 , CDKN1A , SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. These results suggest that gene expression analysis could be incorporated into biodosimetry protocols for qualitative and quantitative assessment of radiation exposure.