Literature DB >> 11252802

Identification of differentially expressed genes from ovarian cancer cells by MICROMAX cDNA microarray system.

K K Wong1, R S Cheng, S C Mok.   

Abstract

Using the MICROMAX cDNA microarray system, we were able to identify genes that are differentially overexpressed in ovarian cancer. A total of 30 putative genes, which are differentially overexpressed in ovarian cancer cell lines, were identified. The differential expression of some of these genes was further confirmed by real-time RT-PCR. Using this strategy, we have identified genes that either overexpress in all cancer cell lines or in only some cancer cell lines. Further characterization of these genes will allow them to be exploited in diagnosis, prognosis, anticancer therapy, and molecular classification of ovarian cancer.

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Year:  2001        PMID: 11252802     DOI: 10.2144/01303dd05

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  17 in total

1.  A new strategy to amplify degraded RNA from small tissue samples for microarray studies.

Authors:  Charlie C Xiang; Mei Chen; Li Ma; Quang N Phan; Jason M Inman; Olga A Kozhich; Michael J Brownstein
Journal:  Nucleic Acids Res       Date:  2003-05-01       Impact factor: 16.971

2.  Early detection of ovarian cancer.

Authors:  Partha M Das; Robert C Bast
Journal:  Biomark Med       Date:  2008-06       Impact factor: 2.851

Review 3.  Role of biomarkers for early detection of ovarian cancer recurrence.

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Journal:  Gland Surg       Date:  2020-08

4.  Lipocalin2 expressions correlate significantly with tumor differentiation in epithelial ovarian cancer.

Authors:  HanByoul Cho; Jae-Hoon Kim
Journal:  J Histochem Cytochem       Date:  2009-02-02       Impact factor: 2.479

5.  Differential gene expression in ovarian carcinoma: identification of potential biomarkers.

Authors:  Kathleen Hibbs; Keith M Skubitz; Stefan E Pambuccian; Rachael C Casey; Kathryn M Burleson; Theodore R Oegema; Jeannine J Thiele; Suzanne M Grindle; Robin L Bliss; Amy P N Skubitz
Journal:  Am J Pathol       Date:  2004-08       Impact factor: 4.307

6.  Gene expression patterns in ovarian carcinomas.

Authors:  Marci E Schaner; Douglas T Ross; Giuseppe Ciaravino; Therese Sorlie; Olga Troyanskaya; Maximilian Diehn; Yan C Wang; George E Duran; Thomas L Sikic; Sandra Caldeira; Hanne Skomedal; I-Ping Tu; Tina Hernandez-Boussard; Steven W Johnson; Peter J O'Dwyer; Michael J Fero; Gunnar B Kristensen; Anne-Lise Borresen-Dale; Trevor Hastie; Robert Tibshirani; Matt van de Rijn; Nelson N Teng; Teri A Longacre; David Botstein; Patrick O Brown; Branimir I Sikic
Journal:  Mol Biol Cell       Date:  2003-09-05       Impact factor: 4.138

Review 7.  Ovarian cancer biomarkers: current options and future promise.

Authors:  Christine M Coticchia; Jiang Yang; Marsha A Moses
Journal:  J Natl Compr Canc Netw       Date:  2008-09       Impact factor: 11.908

8.  Beyond CA125: the coming of age of ovarian cancer biomarkers. Are we there yet?

Authors:  Dimitra Sasaroli; George Coukos; Nathalie Scholler
Journal:  Biomark Med       Date:  2009-06-01       Impact factor: 2.851

9.  Correlation between OPN gene polymorphisms and the risk of nasopharyngeal carcinoma.

Authors:  Jun-li Wang; Le-gen Nong; Yu-jin Tang; Ye-sheng Wei; Feng-lian Yang; Chun-fang Wang
Journal:  Med Oncol       Date:  2014-06-10       Impact factor: 3.064

10.  Diagnostic values of osteopontin combined with CA125 for ovarian cancer: a meta-analysis.

Authors:  Zhu Lan; Dan Fu; Xiuzhang Yu; Mingrong Xi
Journal:  Fam Cancer       Date:  2016-04       Impact factor: 2.375

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