Abstract
Preoperative diagnostics of ovarian neoplasms rely on
ultrasound imaging and the serum biomarkers CA125 and
HE4. However, these markers may be elevated in
non-neoplastic conditions and may fail to identify most
non-serous epithelial cancer subtypes. The objective of
this study was to identify histotype-specific serum
biomarkers for mucinous ovarian cancer. The candidate
genes with mucinous histotype specific expression profile
were identified from publicly available gene-expression
databases and further in silico data mining was performed
utilizing the MediSapiens database. Candidate biomarker
validation was done using qRT-PCR, western blotting and
immunohistochemical staining of tumor tissue microarrays.
The expression level of the candidate gene in serum was
compared to the serum CA125 and HE4 levels in a patient
cohort of prospectively collected advanced ovarian
cancer. Database searches identified REG4 as a potential
biomarker with specificity for the mucinous ovarian
cancer subtype. The specific expression within epithelial
ovarian tumors was further confirmed by mRNA analysis.
Immunohistochemical staining of ovarian tumor tissue
arrays showed distinctive cytoplasmic expression pattern
only in mucinous carcinomas and suggested differential
expression between benign and malignant mucinous
neoplasms. Finally, an ELISA based serum biomarker assay
demonstrated increased expression only in patients with
mucinous ovarian cancer. This study identifies REG4 as a
potential serum biomarker for histotype-specific
detection of mucinous ovarian cancer and suggests serum
REG4 measurement as a non-invasive diagnostic tool for
postoperative follow-up of patients with mucinous ovarian
cancer.
Original language | English |
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Article number | e0151590 |
Journal | PLoS ONE |
Volume | 11 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- ovarian cancer
- biomarker
- REG4