Identification of Chemoresistance-Associated Key Genes and Pathways in High-Grade Serous Ovarian Cancer by Bioinformatics Analyses
Yong Wu,1,2,* Lingfang Xia,1,2,* Qinhao Guo,1,2,* Jun Zhu,1,2 Yu Deng,2,3 Xiaohua Wu1,2 1Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China; 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People&...
Main Authors: | Wu Y, Xia L, Guo Q, Zhu J, Deng Y, Wu X |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2020-06-01
|
Series: | Cancer Management and Research |
Subjects: | |
Online Access: | https://www.dovepress.com/identification-of-chemoresistance-associated-key-genes-and-pathways-in-peer-reviewed-article-CMAR |
Similar Items
-
Proteome profiling of low grade serous ovarian cancer
by: Haniyeh Bashi zadeh fakhar, et al.
Published: (2019-07-01) -
Digital pathology-based study of cell- and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer
by: Jun Jiang, et al.
Published: (2021-01-01) -
Low-grade serous carcinoma with extensive osseous metaplasia arising from ovarian serous cystadenofibroma
by: Renan Ribeiro e Ribeiro, et al.
Published: (2021-05-01) -
Cell Origins of High-Grade Serous Ovarian Cancer
by: Jaeyeon Kim, et al.
Published: (2018-11-01) -
Bioinformatic profiling identifies a platinum‐resistant–related risk signature for ovarian cancer
by: Ce Wu, et al.
Published: (2020-02-01)