Expression profiling correlates with treatment response in women with advanced serous epithelial ovarian cancer

2006 ◽  
Vol 119 (4) ◽  
pp. 875-883 ◽  
Author(s):  
Tanya R. Newton ◽  
Peter G. Parsons ◽  
Douglas J. Lincoln ◽  
Margaret C. Cummings ◽  
David K. Wyld ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Treatment Response ◽  
Expression Profiling ◽  
Serous Epithelial Ovarian Cancer

Cluster analysis of chemotherapy non-responders for patients with serous epithelial ovarian cancer

2017 ◽  
Vol 145 ◽  
pp. 5-6
Author(s):  
M.E. McDonald ◽  
E.A. Salinas ◽  
A.M. Newtson ◽  
M.J. Goodheart ◽  
K.K. Leslie ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cluster Analysis ◽  
Epithelial Ovarian Cancer ◽  
Serous Epithelial Ovarian Cancer

scholarly journals Deletion at 6q24.2-26 predicts longer survival of high-grade serous epithelial ovarian cancer patients

2014 ◽  
Vol 9 (2) ◽  
pp. 422-436 ◽  
Author(s):  
Marta M. Kamieniak ◽  
Daniel Rico ◽  
Roger L. Milne ◽  
Ivan Muñoz-Repeto ◽  
Kristina Ibáñez ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Cancer Patients ◽  
High Grade ◽  
Serous Epithelial Ovarian Cancer

Gene Expression Profiling of Epithelial Ovarian Cancer

2006 ◽  
Vol 7 (2) ◽  
pp. 115-135 ◽  
Author(s):  
Anette Sommer ◽  
Felix Hilpert ◽  
Norbert Arnold
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Gene Expression Profiling ◽  
Expression Profiling

scholarly journals LncRNAs expression profiling in normal ovary, benign ovarian cyst and malignant epithelial ovarian cancer

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Huan Wang ◽  
Ziyi Fu ◽  
Chencheng Dai ◽  
Jian Cao ◽  
Xiaoguang Liu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Ovarian Cyst ◽  
Expression Profiling ◽  
Normal Ovary

scholarly journals Modelling Epithelial Ovarian Cancer in Mice: Classical and Emerging Approaches

2020 ◽  
Vol 21 (13) ◽  
pp. 4806
Author(s):  
Razia Zakarya ◽  
Viive M. Howell ◽  
Emily K. Colvin
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Genetically Engineered ◽  
The Cancer Genome Atlas ◽  
Genetically Engineered Mouse Models ◽  
Molecular Features ◽  
Somatic Gene ◽  
Cancer Genome Atlas ◽  
Serous Epithelial Ovarian Cancer ◽  
Aggressive Subtype

High-grade serous epithelial ovarian cancer (HGSC) is the most aggressive subtype of epithelial ovarian cancer. The identification of germline and somatic mutations along with genomic information unveiled by The Cancer Genome Atlas (TCGA) and other studies has laid the foundation for establishing preclinical models with high fidelity to the molecular features of HGSC. Notwithstanding such progress, the field of HGSC research still lacks a model that is both robust and widely accessible. In this review, we discuss the recent advancements and utility of HGSC genetically engineered mouse models (GEMMs) to date. Further analysis and critique on alternative approaches to modelling HGSC considers technological advancements in somatic gene editing and modelling prototypic organs, capable of tumorigenesis, on a chip.

scholarly journals Detection of TP53 Clonal Variants in Papanicolaou Test Samples Collected up to 6 Years Prior to High-Grade Serous Epithelial Ovarian Cancer Diagnosis

2020 ◽  
Vol 3 (7) ◽  
pp. e207566
Author(s):  
Lara Paracchini ◽  
Chiara Pesenti ◽  
Martina Delle Marchette ◽  
Luca Beltrame ◽  
Tommaso Bianchi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Cancer Diagnosis ◽  
High Grade ◽  
Papanicolaou Test ◽  
Serous Epithelial Ovarian Cancer

scholarly journals An IL6-correlated signature in serous epithelial ovarian cancer associates with growth factor response

BMC Genomics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 508 ◽  
Author(s):  
Patrizia Pinciroli ◽  
Chiara Alberti ◽  
Marialuisa Sensi ◽  
Silvana Canevari ◽  
Antonella Tomassetti
Keyword(s):  
Ovarian Cancer ◽  
Growth Factor ◽  
Epithelial Ovarian Cancer ◽  
Serous Epithelial Ovarian Cancer
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