Literature DB >> 18648354

Gene-expression profiling in epithelial ovarian cancer.

Panagiotis A Konstantinopoulos1, Dimitrios Spentzos, Stephen A Cannistra.   

Abstract

DNA-microarray technology has made it possible to simultaneously analyze the expression of thousands of genes in a small sample of tumor tissue. In epithelial ovarian cancer, gene-expression profiling has been used to provide prognostic information, to predict response to first-line platinum-based chemotherapy, and to discriminate between different histologic subtypes. Furthermore, DNA-microarray technology might permit identification of novel markers for early detection of disease and provide insights into the mechanisms of cancer growth and chemotherapy resistance. In this Review, we summarize the contributions of gene-expression profiling to the diagnosis and management of epithelial ovarian cancer and discuss ways in which this technique could become a useful tool in clinical management.

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Year:  2008        PMID: 18648354     DOI: 10.1038/ncponc1178

Source DB:  PubMed          Journal:  Nat Clin Pract Oncol        ISSN: 1743-4254


  46 in total

Review 1.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

2.  Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.

Authors:  Jean-Pierre Gillet; Anna Maria Calcagno; Sudhir Varma; Miguel Marino; Lisa J Green; Meena I Vora; Chirayu Patel; Josiah N Orina; Tatiana A Eliseeva; Vineet Singal; Raji Padmanabhan; Ben Davidson; Ram Ganapathi; Anil K Sood; Bo R Rueda; Suresh V Ambudkar; Michael M Gottesman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-08       Impact factor: 11.205

Review 3.  Educational and social-ethical issues in the pursuit of molecular medicine.

Authors:  Panagiotis A Konstantinopoulos; Michalis V Karamouzis; Athanasios G Papavassiliou
Journal:  Mol Med       Date:  2008-12-10       Impact factor: 6.354

Review 4.  Emerging roles of Kruppel-like factor 6 and Kruppel-like factor 6 splice variant 1 in ovarian cancer progression and treatment.

Authors:  Analisa DiFeo; Goutham Narla; John A Martignetti
Journal:  Mt Sinai J Med       Date:  2009-12

5.  Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Authors:  Wei Yan; Wei Zhang; Gan You; Junxia Zhang; Lei Han; Zhaoshi Bao; Yongzhi Wang; Yanwei Liu; Chuanlu Jiang; Chunsheng Kang; Yongping You; Tao Jiang
Journal:  Neuro Oncol       Date:  2012-10-22       Impact factor: 12.300

6.  Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary.

Authors:  Dirk Bauerschlag; Karen Bräutigam; Roland Moll; Jalid Sehouli; Alexander Mustea; Darius Salehin; Maryla Krajewska; John C Reed; Nicolai Maass; Garret M Hampton; Ivo Meinhold-Heerlein
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-23       Impact factor: 4.553

Review 7.  Origin of ovarian cancer: molecular profiling.

Authors:  Dilip Kumar Dutta; Indranil Dutta
Journal:  J Obstet Gynaecol India       Date:  2013-06-21

Review 8.  The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.

Authors:  Kivilcim Ozturk; Michelle Dow; Daniel E Carlin; Rafael Bejar; Hannah Carter
Journal:  J Mol Biol       Date:  2018-06-15       Impact factor: 5.469

9.  The chemiluminescence based Ziplex automated workstation focus array reproduces ovarian cancer Affymetrix GeneChip expression profiles.

Authors:  Michael C J Quinn; Daniel J Wilson; Fiona Young; Adam A Dempsey; Suzanna L Arcand; Ashley H Birch; Paulina M Wojnarowicz; Diane Provencher; Anne-Marie Mes-Masson; David Englert; Patricia N Tonin
Journal:  J Transl Med       Date:  2009-07-06       Impact factor: 5.531

10.  Genome-wide expression profiling of in vivo-derived bloodstream parasite stages and dynamic analysis of mRNA alterations during synchronous differentiation in Trypanosoma brucei.

Authors:  Sarah Kabani; Katelyn Fenn; Alan Ross; Al Ivens; Terry K Smith; Peter Ghazal; Keith Matthews
Journal:  BMC Genomics       Date:  2009-09-11       Impact factor: 3.969

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