Ovarian cancer patients are recognized with poor prognosis. This study aimed to identify
microRNAs in plasma for predicting response to treatment and outcome. We have …

Ovarian cancer is one of the most lethal malignant gynecological tumors. More than 70% of
patients with ovarian cancer are diagnosed at advanced stage. The 5-year survival in …

Ovarian cancer (OC) is often diagnosed at an advanced stage because of the late onset of
symptoms, and this together with the lack of effective treatments, has meant it is associated …

Objective MicroRNA (miRNA) is an abundant class of small noncoding RNAs that act as
gene regulators. Recent studies have suggested that miRNA deregulation is associated with …

Epithelial ovarian cancer (EOC) is the leading cause of mortality with regard to
gynaecological cancer. There is no effective biomarker and therefore prognosis is poor as …

Background Ovarian cancer (OC) is one of the most threatening diseases among women in
the world. Plasma microRNAs (miRNAs) may serve as promising diagnostic biomarkers for …

Objective Early diagnosis of epithelial ovarian cancer is critical for patient survival. The
objective of this pilot study is to identify a circulating micro (mi) RNA as a potential biomarker …

Background Most (70%) epithelial ovarian cancers (EOCs) are diagnosed late. Non-invasive
biomarkers that facilitate disease detection and predict outcome are needed. The …

Ovarian cancer is the deadliest gynecologic cancer. The large-scale microRNA (miRNA)
expression profiling and individual miRNA validation was performed to find potential novel …

Ovarian cancer causes more than 100,000 deaths globally per year. Despite intensive
research efforts, there has been little improvement in the overall survival of patients over the …