Patient-Derived Xenograft Models of Epithelial Ovarian Cancer for Preclinical Studies

Preclinical Studies ◽

Patient-Derived Xenograft Models to Improve Targeted Therapy in Epithelial Ovarian Cancer Treatment

Frontiers in Oncology ◽

10.3389/fonc.2013.00295 ◽

2013 ◽

Vol 3 ◽

Cited By ~ 61

Author(s):

Clare L. Scott ◽

Marc A. Becker ◽

Paul Haluska ◽

Goli Samimi

Keyword(s):

Ovarian Cancer ◽

Targeted Therapy ◽

Cancer Treatment ◽

Correlation between tumografts in patient-derived xenograft models and clinical features in epithelial ovarian cancer

10.26226/morressier.57dfb725d462b80290b4c1bb ◽

2016 ◽

Author(s):

Youngshin Chung

Keyword(s):

Ovarian Cancer ◽

Clinical Features ◽

Comparison of Clinical Features and Outcomes in Epithelial Ovarian Cancer according to Tumorigenicity in Patient-Derived Xenograft Models

Cancer Research and Treatment ◽

10.4143/crt.2017.181 ◽

2018 ◽

Vol 50 (3) ◽

pp. 956-963 ◽

Cited By ~ 8

Author(s):

Kyung Jin Eoh ◽

Young Shin Chung ◽

So Hyun Lee ◽

Sun-Ae Park ◽

Hee Jung Kim ◽

...

Keyword(s):

Ovarian Cancer ◽

Clinical Features ◽

Mouse models of epithelial ovarian cancer for preclinical studies

动物学研究 ◽

10.24272/j.issn.2095-8137.2020.382 ◽

2021 ◽

Vol 42 (0) ◽

pp. 1-8

Author(s):

Sergey Karakashev ◽

◽

Ru-Gang Zhang

Keyword(s):

Ovarian Cancer ◽

Mouse Models ◽

Preclinical Studies

850P Genetic factors contributing to the success rate of patient-derived xenograft revealed by genomic characterization in epithelial ovarian cancer

Annals of Oncology ◽

10.1016/j.annonc.2020.08.989 ◽

2020 ◽

Vol 31 ◽

pp. S634

Author(s):

Y. Shan ◽

X. Peng ◽

S. Li ◽

L. Pan ◽

J. Ying ◽

...

Keyword(s):

Ovarian Cancer ◽

Success Rate ◽

Genetic Factors ◽

Genomic Characterization

Poly(adenosine diphosphate ribose) polymerase inhibitors induce autophagy‐mediated drug resistance in ovarian cancer cells, xenografts, and patient‐derived xenograft models

Cancer ◽

10.1002/cncr.32600 ◽

2019 ◽

Vol 126 (4) ◽

pp. 894-907 ◽

Cited By ~ 9

Author(s):

Janice M. Santiago‐O’Farrill ◽

S. John Weroha ◽

Xiaonan Hou ◽

Ann L. Oberg ◽

Ethan P. Heinzen ◽

...

Keyword(s):

Ovarian Cancer ◽

Drug Resistance ◽

Cancer Cells ◽

Adenosine Diphosphate ◽

Ovarian Cancer Cells ◽

Polymerase Inhibitors ◽

Abstract B48: Design of effective combination therapies for high-grade serous ovarian cancer using patient-derived xenograft models.

10.1158/1557-3265.ovca15-b48 ◽

2016 ◽

Author(s):

Claudia Iavarone ◽

Ioannis Zervantonakis ◽

Hsing-Yu Chen ◽

Sangeetha S. Palakurthi ◽

Joyce Fu Liu ◽

...

Keyword(s):

Ovarian Cancer ◽

High Grade ◽

Serous Ovarian Cancer ◽

Combination Therapies ◽

Effective Combination ◽

Abstract AP19: SINGLE–CELL RNA–SEQUENCING OF PATIENT–DERIVED OVARIAN CANCER CELLS AND PATIENT–DERIVED XENOGRAFT MODELS

10.1158/1557-3265.ovcasymp16-ap19 ◽

2017 ◽

Cited By ~ 1

Author(s):

Benjamin Izar ◽

Elizabeth Stover ◽

Itay Tirosh ◽

Asaf Rotem ◽

Parin Shah ◽

...

Keyword(s):

Ovarian Cancer ◽

Single Cell ◽

Cancer Cells ◽

Rna Sequencing ◽

Ovarian Cancer Cells ◽

Single Cell Rna Sequencing ◽

Preclinical studies and clinical utilization of monoclonal antibodies in epithelial ovarian cancer

Gynecologic Oncology ◽

10.1016/j.ygyno.2009.01.008 ◽

2009 ◽

Vol 113 (3) ◽

pp. 384-390 ◽

Cited By ~ 24

Author(s):

Peter J. Frederick ◽

J. Michael Straughn ◽

Ronald D. Alvarez ◽

Donald J. Buchsbaum

Keyword(s):

Ovarian Cancer ◽

Monoclonal Antibodies ◽

Preclinical Studies ◽

Clinical Utilization

Cell line and patient-derived xenograft models reveal elevated CDCP1 as a target in high-grade serous ovarian cancer

British Journal of Cancer ◽

10.1038/bjc.2015.471 ◽

2016 ◽

Vol 114 (4) ◽

pp. 417-426 ◽

Cited By ~ 11

Author(s):

Brittney S Harrington ◽

Yaowu He ◽

Claire M Davies ◽

Sarah J Wallace ◽

Mark N Adams ◽

...

Keyword(s):

Ovarian Cancer ◽

Cell Line ◽

High Grade ◽

Serous Ovarian Cancer ◽