Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis

J Shen, S Yu, X Sun, M Yin, J Fei, J Zhou - Journal of ovarian research, 2019 - Springer
Background Ovarian cancer (OC) is the deadliest cause in the gynecological malignancies.
Most OC patients are diagnosed in advanced stages with less than 40% of women cured …

Identification of potential biomarkers in association with progression and prognosis in epithelial ovarian cancer by integrated bioinformatics analysis

J Liu, H Meng, S Li, Y Shen, H Wang, W Shan… - Frontiers in …, 2019 - frontiersin.org
Epithelial ovarian cancer (EOC) is one of the malignancies in women, which has the highest
mortality. However, the microlevel mechanism has not been discussed in detail. The …

[HTML][HTML] Screening and prognostic value of potential biomarkers for ovarian cancer

H Li, M Li, C Tang, L Xu - Annals of translational medicine, 2021 - ncbi.nlm.nih.gov
Background Ovarian cancer is a common gynecological malignant tumor that greatly
threatens women's health, so we screened potential biomarkers of ovarian cancer and …

[HTML][HTML] Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic value

J Cai, J Qiu, H Wang, J Sun, Y Ji - Annals of translational medicine, 2021 - ncbi.nlm.nih.gov
Background Ovarian cancer is one of the most common malignant tumors in female genital
organs, and its incidence rate is high. However, the pathogenesis and prognostic markers of …

Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis

H Feng, ZY Gu, Q Li, QH Liu, XY Yang… - Journal of ovarian …, 2019 - Springer
Ovarian cancer (OC) is the highest frequent malignant gynecologic tumor with very
complicated pathogenesis. The purpose of the present academic work was to identify …

Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments

MJ Zheng, X Li, YX Hu, H Dong, R Gou… - Journal of cellular …, 2019 - Wiley Online Library
Background Ovarian cancer is one of the three major malignant tumors of the female
reproductive system, and the mortality associated with ovarian cancer ranks first among …

[HTML][HTML] Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis

W Qin, Q Yuan, Y Liu, Y Zeng, X Dai, Y Shuai… - Taiwanese Journal of …, 2021 - Elsevier
Objective The current research was aimed to identify candidate genes associated with
development and progression of epithelial ovarian carcinoma using bioinformatics analysis …

Bioinformatic analysis for influential core gene identification and prognostic significance in advanced serous ovarian carcinoma

C Song, KB Kim, JH Lee, S Kim - Medicina, 2021 - mdpi.com
Background and objectives: Ovarian cancer is one of the leading causes of death among
women worldwide. Most newly diagnosed ovarian cancer patients are diagnosed in …

Screening the molecular targets of ovarian cancer based on bioinformatics analysis

L Du, X Qian, C Dai, L Wang, D Huang… - Tumori …, 2015 - journals.sagepub.com
Aims and background Ovarian cancer (OC) is the most lethal gynecologic malignancy. This
study aims to explore the molecular mechanisms of OC and identify potential molecular …

Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysis

X Yang, S Zhu, L Li, L Zhang, S Xian… - OncoTargets and …, 2018 - Taylor & Francis
Background The mortality rate associated with ovarian cancer ranks the highest among
gynecological malignancies. However, the cause and underlying molecular events of …