Tissue microarrays from bone marrow aspirates for high-throughput assessment of immunohistologic markers in pediatric acute leukemia.
Gene expression profiling studies have been employed to investigate prognostic subgroups in pediatric acute leukemia. Tissue microarrays (TMAs) are useful for high-throughput analysis of protein expression of target genes in acute leukemia samples and for validation of gene microarray analysis. Using cryopreserved samples of pediatric acute leukemia bone marrow aspirates, we constructed TMA from as few as 1 million cells. Bone marrow core biopsies from the same patients were included on the same TMA for comparison. A panel of 15 immunohistochemical markers typically used for diagnosis as well as those targeting recently characterized, prognostically relevant molecules of interest in pediatric acute leukemia was used to evaluate protein expression. Staining results confirm that suspension cells from bone marrow aspirates can be effectively used to derive protein expression data from multiple cases simultaneously with comparable efficacy to that of biopsy tissue. This method allows for new markers of diagnostic, prognostic, or therapeutic importance to be screened on large numbers of study patients. Furthermore, this technique may facilitate the inclusion of small samples, aspirates, and body fluids in large-scale studies of protein expression in clinical trials and protocols in which tissue biopsies are often unavailable.
Hazard
Florette K
FK
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Zhao
Shuchun
S
Schiffman
Joshua D
JD
Lacayo
Norman J
NJ
Dahl
Gary V
GV
Natkunam
Yasodha
Y
D000208:Acute Disease; D000293:Adolescent; D014408:Biomarkers, Tumor / Q000378:metabolism; D001706:Biopsy; D001854:Bone Marrow Cells / Q000378:metabolism / Q000473:pathology*; D002648:Child; D002675:Child, Preschool; D020732:Cytogenetic Analysis; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D007150:Immunohistochemistry; D007223:Infant; D007938:Leukemia / Q000235:genetics / Q000378:metabolism* / Q000473:pathology; D008297:Male; D046888:Tissue Array Analysis / Q000379:methods*
D014408:Biomarkers, Tumor