Literature DB >> 15864277

Ovarian cancer metastasis: integrating insights from disparate model organisms.

Honami Naora1, Denise J Montell.   

Abstract

Despite considerable efforts to improve early detection, and advances in chemotherapy, metastasis remains a major challenge in the clinical management of ovarian cancer. Studies of new murine models are providing novel insights into the pathophysiology of ovarian cancer, but these models are not readily amenable to genetic screens. Genetic analysis of border-cell migration in the Drosophila melanogaster ovary provides clues that will improve our understanding of ovarian cancer metastasis at the molecular level, and also might lead to potential therapeutic targets.

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Year:  2005        PMID: 15864277     DOI: 10.1038/nrc1611

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  236 in total

Review 1.  Involvement of members of the cadherin superfamily in cancer.

Authors:  Geert Berx; Frans van Roy
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-09-23       Impact factor: 10.005

2.  Inhibition of Sp1-dependent transcription and antitumor activity of the new aureolic acid analogues mithramycin SDK and SK in human ovarian cancer xenografts.

Authors:  Sara Previdi; Anastasia Malek; Veronica Albertini; Cristina Riva; Carlo Capella; Massimo Broggini; Giuseppina M Carbone; Jurgen Rohr; Carlo V Catapano
Journal:  Gynecol Oncol       Date:  2010-05-08       Impact factor: 5.482

3.  p21-activated kinase 4 regulates ovarian cancer cell proliferation, migration, and invasion and contributes to poor prognosis in patients.

Authors:  Michelle K Y Siu; Hoi Yan Chan; Daniel S H Kong; Esther S Y Wong; Oscar G W Wong; Hextan Y S Ngan; Kar Fai Tam; Hongquan Zhang; Zhilun Li; Queeny K Y Chan; Sai Wah Tsao; Staffan Strömblad; Annie N Y Cheung
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-06       Impact factor: 11.205

4.  Milky spots promote ovarian cancer metastatic colonization of peritoneal adipose in experimental models.

Authors:  Robert Clark; Venkatesh Krishnan; Michael Schoof; Irving Rodriguez; Betty Theriault; Marina Chekmareva; Carrie Rinker-Schaeffer
Journal:  Am J Pathol       Date:  2013-08       Impact factor: 4.307

5.  Diindolylmethane-mediated Gli1 protein suppression induces anoikis in ovarian cancer cells in vitro and blocks tumor formation ability in vivo.

Authors:  Prabodh K Kandala; Sanjay K Srivastava
Journal:  J Biol Chem       Date:  2012-07-06       Impact factor: 5.157

6.  Methylation-mediated repression of MiR-424/503 cluster promotes proliferation and migration of ovarian cancer cells through targeting the hub gene KIF23.

Authors:  Tong Li; Yimin Li; Yaqi Gan; Ruotong Tian; Qihan Wu; Guang Shu; Gang Yin
Journal:  Cell Cycle       Date:  2019-06-09       Impact factor: 4.534

7.  Myosin II co-chaperone general cell UNC-45 overexpression is associated with ovarian cancer, rapid proliferation, and motility.

Authors:  Martina Bazzaro; Antonio Santillan; Zhenhua Lin; Taylor Tang; Michael K Lee; Robert E Bristow; Ie-Ming Shih; Richard B S Roden
Journal:  Am J Pathol       Date:  2007-09-14       Impact factor: 4.307

8.  Formation of stable small cell number three-dimensional ovarian cancer spheroids using hanging drop arrays for preclinical drug sensitivity assays.

Authors:  Shreya Raghavan; Maria R Ward; Katelyn R Rowley; Rachel M Wold; Shuichi Takayama; Ronald J Buckanovich; Geeta Mehta
Journal:  Gynecol Oncol       Date:  2015-04-22       Impact factor: 5.482

Review 9.  Cell motility in cancer invasion and metastasis: insights from simple model organisms.

Authors:  Christina H Stuelten; Carole A Parent; Denise J Montell
Journal:  Nat Rev Cancer       Date:  2018-03-16       Impact factor: 60.716

10.  Elevated expression of MAC30 predicts lymph node metastasis and unfavorable prognosis in patients with epithelial ovarian cancer.

Authors:  Shanshan Yang; Huiyan Li; Yunduo Liu; Xiaoming Ning; Fanling Meng; Min Xiao; Deying Wang; Ge Lou; Yunyan Zhang
Journal:  Med Oncol       Date:  2012-12-18       Impact factor: 3.064

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