Open Access<p>Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer</p>
Author(s) -
Manfei Si,
Junji Zhang,
Jian Cao,
Zhibo Xie,
Shu Shan,
Yapei Zhu,
Jinghe Lang
Publication year - 2019
Publication title -
oncotargets and therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 60
ISSN - 1178-6930
DOI - 10.2147/ott.s228678
Subject(s) - ovarian cancer , wnt signaling pathway , serous fluid , cell cycle , gene , cancer research , cancer , medicine , oncology , biology , genetics
Ovarian cancer is the leading cause of gynecologic cancer-related death worldwide. Early diagnosis of ovarian cancer can significantly improve patient prognosis. Hence, there is an urgent need to identify key diagnostic and prognostic biomarkers specific for ovarian cancer. Because high-grade serous ovarian cancer (HGSOC) is the most common type of ovarian cancer and accounts for the majority of deaths, we identified potential biomarkers for the early diagnosis and prognosis of HGSOC.