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2014 ; 3
(1
): 72-88
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Can Archival Tissue Reveal Answers to Modern Research Questions?: Computer-Aided
Histological Assessment of Neuroblastoma Tumours Collected over 60 Years
#MMPMID27605031
Chetcuti A
; Mackie N
; Tafavogh S
; Graf N
; Henwood T
; Charlton A
; Catchpoole D
Microarrays (Basel)
2014[Feb]; 3
(1
): 72-88
PMID27605031
show ga
Despite neuroblastoma being the most common extracranial solid cancer in
childhood, it is still a rare disease. Consequently, the unavailability of tissue
for research limits the statistical power of studies. Pathology archives are
possible sources of rare tissue, which, if proven to remain consistent over time,
could prove useful to research of rare disease types. We applied
immunohistochemistry to investigate whether long term storage caused any changes
to antigens used diagnostically for neuroblastoma. We constructed and
quantitatively assessed a tissue microarray containing neuroblastoma archival
material dating between 1950 and 2007. A total of 119 neuroblastoma tissue cores
were included spanning 6 decades. Fourteen antibodies were screened across the
tissue microarray (TMA). These included seven positive neuroblastoma diagnosis
markers (NB84, Chromogranin A, NSE, Ki-67, INI1, Neurofilament Protein,
Synaptophysin), two anticipated to be negative (S100A, CD99), and five research
antibodies (IL-7, IL-7R, JAK1, JAK3, STAT5). The staining of these antibodies was
evaluated using Aperio ImageScope software along with novel pattern recognition
and quantification algorithms. This analysis demonstrated that marker signal
intensity did not decrease over time and that storage for 60 years had little
effect on antigenicity. The construction and assessment of this neuroblastoma TMA
has demonstrated the feasibility of using archival samples for research.