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1.
J Neurooncol ; 117(1): 183-189, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24519516

ABSTRACT

Infiltrating astrocytomas and oligoastrocytomas of low to anaplastic grade (WHO grades II and III), in spite of being associated with a wide range of clinical outcomes, can be difficult to subclassify and grade by the current histopathologic criteria. Unlike oligodendrogliomas and anaplastic oligodendrogliomas that can be identified by the 1p/19q codeletion and the more malignant glioblastomas (WHO grade IV astrocytomas) that can be diagnosed solely based on objective features on routine hematoxylin and eosin sections, no such objective criteria exist for the subclassification of grade II-III astrocytomas and oligoastrocytomas (A+OA II-III). In this study, we evaluated the prognostic and predictive value of the stem cell marker nestin in adult A+OA II-III (n = 50) using immunohistochemistry and computer-assisted analysis on tissue microarrays. In addition, the correlation between nestin mRNA level and total survival was analyzed in the NCI Rembrandt database. The results showed that high nestin expression is a strong adverse prognostic factor for total survival (p = 0.0004). The strength of the correlation was comparable to but independent of the isocitrate dehydrogenase 1/2 (IDH 1/2) mutation status. Histopathological grading and subclassification did not correlate significantly with outcome, although the interpretation of this finding is limited by the fact that grade III tumors were treated more aggressively than grade II tumors. These results suggest that nestin level and IDH 1/2 mutation status are strong prognostic features in A+OA II-III and possibly more helpful for treatment planning than routine histopathological variables such as oligodendroglial component (astrocytoma vs. oligoastrocytoma) and WHO grade (grade II vs. III).


Subject(s)
Astrocytoma/diagnosis , Brain Neoplasms/diagnosis , Glioma/diagnosis , Nestin/metabolism , Adult , Aged , Astrocytoma/genetics , Astrocytoma/metabolism , Astrocytoma/pathology , Biomarkers/metabolism , Brain Neoplasms/genetics , Brain Neoplasms/metabolism , Brain Neoplasms/pathology , Female , Follow-Up Studies , Glioma/genetics , Glioma/metabolism , Glioma/pathology , Humans , Isocitrate Dehydrogenase/genetics , Kaplan-Meier Estimate , Male , Middle Aged , Neoplasm Grading , Prognosis , RNA, Messenger/metabolism , Young Adult
2.
J Pediatr Hematol Oncol ; 35(3): 206-11, 2013 Apr.
Article in English | MEDLINE | ID: mdl-23425997

ABSTRACT

INTRODUCTION: Despite a low bacteremia rate, pediatric oncology patients are frequently admitted for febrile neutropenia. A pediatric risk prediction model with high sensitivity to identify patients at low risk for bacteremia is not available. We performed a single-institution prospective cohort study of pediatric oncology patients with febrile neutropenia to create a risk prediction model using clinical factors, respiratory viral infection, and cytokine expression. MATERIALS AND METHODS: Pediatric oncology patients with febrile neutropenia were enrolled between March 30, 2010 and April 1, 2011 and managed per institutional protocol. Blood samples for C-reactive protein and cytokine expression and nasopharyngeal swabs for respiratory viral testing were obtained. Medical records were reviewed for clinical data. Statistical analysis utilized mixed multiple logistic regression modeling. RESULTS: During the 12-month period, 195 febrile neutropenia episodes were enrolled. There were 24 (12%) episodes of bacteremia. Univariate analysis revealed several factors predictive for bacteremia, and interleukin (IL)-8 was the most predictive variable in the multivariate stepwise logistic regression. Low serum IL-8 predicted patients at low risk for bacteremia with a sensitivity of 0.9 and negative predictive value of 0.98. CONCLUSIONS: IL-8 is a highly sensitive predictor for patients at low risk for bacteremia. IL-8 should be utilized in a multi-institution prospective trial to assign risk stratification to pediatric patients admitted with febrile neutropenia.


Subject(s)
Bacteremia/blood , Bacteria/pathogenicity , Biomarkers, Tumor/blood , Interleukin-8/blood , Neoplasms/blood , Neutropenia/blood , Adolescent , Adult , Bacteremia/complications , Bacteremia/microbiology , Child , Child, Preschool , Female , Humans , Infant , Male , Neoplasms/complications , Neoplasms/microbiology , Neutropenia/etiology , Prognosis , Prospective Studies , ROC Curve , Risk Factors , Young Adult
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