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Abstract
Summary
Phenotypic
differences between otherwise similar tumors arising from different
gynecologic locations may be highly significant in understanding the
underlying driver molecular events at each site and may potentially
offer insights into differential responses to treatment. In this study,
the authors sought to identify and quantify phenotypic differences
between ovarian clear cell carcinoma (OCCC) and endometrial clear cell
carcinoma (ECCC) using a proteomic approach. Tissue microarrays were
constructed from tumor samples of 108 patients (54 ECCCs and 54 OCCCs).
Formalin-fixed samples on microarray slides were analyzed by
matrix-assisted laser desorption/ionization mass spectrometry, and 730
spectral peaks were generated from the combined data set. A linear
mixed-effect model with random intercept was used to generate 93 (12.7%)
peaks that were significantly different between OCCCs and ECCCs at the
fold cutoffs of 1.5 and 0.667 and an adjusted P value cutoff of 1.0 × 10−10.
Liquid chromatography–tandem mass spectrometry was performed on
selected cores from each group, and peptides identified therefrom were
compared with lists of statistically significant peaks from the
aforementioned linear mixed-effects model to find matches within 0.2 Da.
A total of 53 candidate proteins were thus identified as being
differentially expressed in OCCCs and ECCCs, 45 (85%) of which were
expressed at higher levels in ECCCs than OCCCs. These proteins were
functionally diverse and did not highlight a clearly dominant cellular
theme or molecular pathway. Although ECCCs and OCCCs are very similar,
some phenotypic differences are demonstrable. Additional studies of
these differentially expressed proteins may ultimately clarify the
significance of these differences.
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